| 1 |
P0Priority 0 |
96
|
Completion of remaining Microsoft 365 contentGlobal Product Strategy; Product, Enterprise Operations; Cross-functional / Enterprise-wide; Commercial, Finance,… |
6 |
Merged Microsoft entries: numeric estimates range from 150 to 500 users; one OneNote entry says usage is not known. |
Intake benefits: notes time savings; improved enterprise AI adoption and collaboration (2-5 hrs/week); broad enterprise productivity (2-5 hrs/week); operational efficiency (2-6 hrs/week); executive communication/reporting (2-4 hrs/week); knowledge retention/productivity (2-4 hrs/week). Calculated benefit from quantified Microsoft entries: 124,800-486,200 hrs/year as a simple sum across source rows with numeric users and weekly-hour ranges; not de-duplicated across Microsoft tools. |
High |
ChatGPT: Native ChatGPT apps cover SharePoint, Teams, Outlook Email/Calendar, OneDrive/Google-style file access; OneNote may require validation.
Claude: Pre-built Microsoft 365 connector covers SharePoint, OneDrive, Outlook, Teams.
Gemini: Gemini Enterprise data stores include OneDrive, Outlook, SharePoint, Teams. |
Details- Use case from intake
- Gain access to all notes.; Internal AI app hosting and collaboration; Productivity automation, workflow support; Spreadsheet analysis, operational reporting, modeling; Automated presentations and executive summaries; Meeting note analysis and knowledge capture
- Data involved from intake
- Text and possible images; Documents, apps, collaboration content; Docs, spreadsheets, presentations, chats; Spreadsheet data, formulas, operational metrics; Presentation decks, charts, summaries; Notes, meeting summaries, action items
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 2 |
P0Priority 0 |
94
|
Salesforce / SFDCLNUK Sales Ops; Product, Content, Sales, Marketing, Revenue Ops |
2 |
Merged source estimate: 50 to 350 users across two entries. |
Intake benefits: save time/workflow improvements; revenue growth, forecasting accuracy, operational efficiency, and 8-15 hrs/week time savings per team. |
High |
ChatGPT: No native ChatGPT Salesforce app confirmed in the checked OpenAI list; custom app/MCP likely.
Claude: Salesforce Hosted MCP works with compatible clients including Claude.
Gemini: Gemini Enterprise has a Salesforce data connector in preview/allowlist. |
Details- Use case from intake
- We can use GPT to find relevant data in PeopleSoft. We get a lot of requests for Genesis data, and going forward we will move to PS, and we can get data from there using GPT; Sales analytics, campaign-to-revenue tracking, customer intelligence, forecasting
- Data involved from intake
- We can use GPT to find relevant data in PeopleSoft. We get a lot of requests for Genesis data, and going forward we will move to PS, and we can get data from there using GPT; CRM records, account data, pipeline, campaign, lead, revenue data
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 3 |
P0Priority 0 |
92
|
TableauREPH Sales, GODAS; Product, Content, Analytics, Revenue Ops, Sales |
2 |
Merged source estimate: 60 to 250 users across two entries. |
Intake benefit: faster decision-making, executive reporting, and 5-10 hrs/week time savings. Calculated benefit: 39,000-130,000 hrs/year (150-250 users * 5-10 hrs/week * 52). |
High |
ChatGPT: Custom MCP/app required.
Claude: Official Tableau MCP has Claude setup path.
Gemini: Custom connector/MCP route; no Gemini app-native Tableau confirmed. |
Details- Use case from intake
- Consume dashboards to validate outcomes; AI explains insights in plain language Generate forecasts and leadership-ready insights from dashboard data Build, automate, and maintain dashboards; reduce ad-hoc report requests; Dashboards, cross-system reporting, visualization, trend analysis
- Data involved from intake
- BI dashboards, analytics datasets, KPIs, visualizations
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 4 |
P0Priority 0 |
91
|
FigmaProduct, UX/UI Design |
1 |
Intake: 30-75 users. PDF: 3,269 employees with Figma access; 150 full-seat users with Figma Make access; 72 have used Figma Make at least once; 15 active Figma Make users. |
Intake benefit: faster design-to-delivery workflows with 2-5 hrs/week time savings. Calculated benefit: 3,120-19,500 hrs/year (30-75 intake users * 2-5 hrs/week * 52). |
High |
ChatGPT: No public ChatGPT Figma app confirmed; custom MCP/app likely.
Claude: Official Figma MCP supports Claude/Claude Code and remote/local servers.
Gemini: Figma MCP catalog supports Gemini CLI and other MCP clients. |
Details- Use case from intake
- Design analysis, requirement extraction, UX collaboration
- Data involved from intake
- Mockups, design systems, annotations
- Evidence and assumptions
- Estimated users use the intake spreadsheet plus the supplemental Figma PDF only.
|
| 5 |
P0Priority 0 |
90
|
Azure DevOpsProduct, Engineering; GEO - NBT, CA, Entity, Forms |
2 |
Merged source estimate: ADO 50-100 users; related Azure entry 20 users plus another 20 in Forms. |
Intake benefit: faster product delivery and engineering visibility with 3-6 hrs/week time savings. Related Azure entry has no stated benefit. Calculated benefit: 7,800-31,200 hrs/year (50-100 ADO users * 3-6 hrs/week * 52). |
High |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Sprint tracking, backlog analysis, engineering workflow support; Explain current architecture; troubleshoot incidents using logs/configuration context; summarize resource usage; support DevOps runbooks; help with access reviews; generate cloud governance or cost-optimization recommendations.
- Data involved from intake
- Tickets, epics, sprint data, release plans
- Evidence and assumptions
- Azure row consolidated into Azure DevOps per product review.
|
| 6 |
P0Priority 0 |
89
|
GongProduct, Commercial, Sales Enablement, Revenue Ops, Sales |
1 |
100–200 |
Intake benefit: improved sales productivity and customer insights with 4-8 hrs/week time savings. Calculated benefit: 20,800-83,200 hrs/year (100-200 users * 4-8 hrs/week * 52). |
High |
ChatGPT: Custom MCP/app required.
Claude: Custom/vendor MCP required; no official native found in checked docs.
Gemini: Custom connector likely. |
Details- Use case from intake
- Sales call analysis, sentiment analysis, coaching insights
- Data involved from intake
- Call transcripts, meeting recordings, conversation metadata
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 7 |
P0Priority 0 |
88
|
GitHubNBT, Straive |
1 |
200 |
No value/benefit stated in intake. |
Medium |
ChatGPT: Native ChatGPT app/connector in OpenAI supported list.
Claude: Native Claude GitHub integration.
Gemini: Gemini Enterprise has GitHub data connector; Gemini CLI also supports dev workflows/MCP. |
Details- Use case from intake
- Explain codebases; review pull requests; generate tests; identify dependency or security issues; summarize release changes; help new engineers understand repositories; draft technical documentation from code.
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 8 |
P1Priority 1 |
84
|
ServiceNow / WebstarsREPH Technology Operations; Product Management; GEO - NBT, Entity, CA, Harvesting, REPH, Straive, Legislation |
3 |
Merged source estimate: ServiceNow 30 users; Webstars/BIRT 100+ to 250 users. |
No value/benefit stated in intake for ServiceNow or Webstars/BIRT. |
Medium |
ChatGPT: ServiceNow/Webstars custom MCP/app review likely; ServiceNow has Gemini Enterprise connector coverage, while Webstars/BIRT likely requires custom validation.
Claude: Custom/vendor MCP route; verify connector directory and internal system ownership.
Gemini: Gemini Enterprise has ServiceNow data connector; Webstars/BIRT likely requires custom connector review. |
Details- Use case from intake
- Incident trends, SLA breaches, operational risk narratives Build workflows, automate ticket routing, optimize ITSM processes; postmortem drafting; To monitor, analyze, interrogate outstanding webstars - to help address in a timely manner and within SLA periods; Query internal records; generate customer or matter summaries; create audit-ready explanations; triage issues; support reporting; connect Webstar data with SharePoint documentation and email context.
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- ServiceNow and Webstars/BIRT consolidated per product review.
|
| 9 |
P1Priority 1 |
83
|
DatabricksAPAC Strategy; GODAS - Data Science |
2 |
Merged source estimate: 3 requesting-team users to 500 users across two Databricks entries. |
Intake benefit: democratise business intelligence capabilities across the business with a business-context-informed AI assistant. |
High |
ChatGPT: Custom MCP/app required.
Claude: Databricks has managed MCP/Claude connector path.
Gemini: Gemini CLI can use MCP; Gemini Enterprise likely needs custom/data-store route. |
Details- Use case from intake
- The idea is to combine access to business data (along with the resources accessible through the SharePoint connection), with ChatGPT access to web-sourced information to provide a business intelligence solution via the ChatGPT interface.; To query datasets, summarise insights, explain trends, and assist with generating or optimising SQL, notebooks, and data workflows. This accelerates data-driven decision-making by making complex analytics more accessible to business users while improving productivity for data engineers, analysts, and AI teams.
- Data involved from intake
- SFDC/CRM, Gong, Salesforce, etc.
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 10 |
P1Priority 1 |
82
|
MiroGODAS Data Science |
1 |
3 in the requesting team but likely to be used by other teams |
No value/benefit stated in intake. |
Medium |
ChatGPT: No native ChatGPT app confirmed; use official Miro MCP/custom app path.
Claude: Miro MCP supports MCP clients such as Claude Code; Claude web requires compatibility/admin review.
Gemini: Miro MCP lists Gemini CLI support. |
Details- Use case from intake
- To summarise workshops, extract decisions, identify themes, and generate structured outputs such as requirements, user stories, or project plans directly from Miro boards. This reduces manual synthesis effort, accelerates collaboration-to-execution workflows, and gives teams a conversational way to query and interact with visual collaboration data
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 11 |
P1Priority 1 |
81
|
SeismicSales Enablement (SE), Revenue Ops, Sales |
1 |
75–150 |
Intake benefit: higher seller efficiency and revenue enablement with 4-8 hrs/week time savings. Calculated benefit: 15,600-62,400 hrs/year (75-150 users * 4-8 hrs/week * 52). |
High |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Rep productivity, revenue enablement, content optimization
- Data involved from intake
- Sales enablement content, engagement analytics
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 12 |
P1Priority 1 |
80
|
SmartsheetLNUK |
1 |
100 |
Intake benefit: 50-60 users could each save up to 2 hours/week, equating to ~5,000-6,000 hours annually or $300K (£240K) in productivity value. Calculated benefit: up to 100-120 hrs/week and approximately 5,200-6,240 hrs/year (50-60 users * up to 2 hrs/week * 52). Intake also states ~5,000-6,000 hours annually or $300K (£240K). |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Lets users query live data in natural language (e.g., “Show product performance by region” or “Compare customer activity trends”). Combines and analyses data from different sheets instantly to produce summaries, insights, or visualisations. Reduces manual data extraction, blending, and reporting time. Improves decision-making speed and accuracy by providing instant, contextual insight across multiple datasets.
- Data involved from intake
- Project Plans Customer Data/Insights Marketing Collateral
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 13 |
P2Priority 2 |
63
|
ConfluenceFinancial Systems Administration; REPH Technology Operations; Product, Engineering |
3 |
Merged source estimate: 75 to 600+ users across three Confluence entries. |
Intake benefits: efficiency and self-service; faster answers; reduced support reliance and ticket volume; better data quality/compliance; accelerated onboarding; faster knowledge access and reduced duplication with 4-6 hrs/week time savings. Calculated benefit from quantified Confluence entry: 15,600-39,000 hrs/year (75-125 users * 4-6 hrs/week * 52). |
High |
ChatGPT: Custom MCP/app likely; no public ChatGPT Confluence app confirmed in checked list.
Claude: Pre-built Atlassian MCP covers docs/knowledge bases.
Gemini: Gemini Enterprise has Confluence Cloud/Data Center connectors. |
Details- Use case from intake
- Enables F.R.A.N.K. to provide guidance on planning processes, troubleshooting, task instructions, calculations, and policies—leveraging Confluence as the central knowledge hub for One Finance systems.; Identify gaps in documentation; summarize governance and project knowledge Structure and maintain knowledge architecture; automate documentation updates; Documentation search, summarization, requirements retrieval
- Data involved from intake
- The connector would expose structured and unstructured knowledge base content, including: How-to guides / procedures (e.g., planning steps, system navigation, troubleshooting) Process documentation (budget initialization, forecasting logic, workforce planning) Reference materials (plan elements, dimensions, mappings, definitions) Policies and governance content (finance policies, validation rules, controls) Training content (quick reference guides, onboarding materials) Support information (contacts, escalation paths, FAQs) These are explicitly part of the knowledge base, which includes: “Step-by-step process documentation” “Clear explanations of system logic” “Troubleshooting solutions” “Training recordings and reference guides”; Wiki pages, requirements, documentation
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 14 |
P2Priority 2 |
62
|
Monday.comSPMO, GODAS including Data Science and Change Management teams |
1 |
16 for SPMO/GODAS but would be applicable for all other teams that use Monday.com for their portfolio management |
No value/benefit stated in intake. |
Medium |
ChatGPT: Custom MCP/app required.
Claude: Custom MCP likely.
Gemini: Gemini Enterprise has Monday data connector. |
Details- Use case from intake
- Streamline project management tasks by enabling users to query status, summarise updates, track progress and generate/update tasks directly though the LLM without switching between applications. Improve visibility and enable workflows to be executed, eg creation of e.mails, and summary reports, from the LLM. Integrate portfolio status information with notes from weekly team stands up to generate an exec summary of weekly team status. Provide ChatGPT access to project and change data housed in Monday.com so teams can quickly summarize status, risks, milestones, dependencies, and action items Improve alignment between change managers and project/program managers by enabling both groups to work from the same source of truth Increase consistency in project and change reporting, including faster creation of updates, stakeholder-ready summaries, and follow-up actions Bring more visibility, st…
- Data involved from intake
- Project status information held within Monday, eg dates, budget and benefit numbers, risk and issues, project status summaries
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 15 |
P2Priority 2 |
59
|
Google Analytics 4Marketing, Digital Teams |
1 |
25–75 |
Intake benefit: Improved marketing optimization and conversion rates with 4–8 hrs/week time savings Calculated benefit: 5,200-31,200 hrs/year (25-75 users * 4-8 hrs/week * 52). |
High |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Campaign attribution, engagement analysis, funnel tracking
- Data involved from intake
- Web analytics, session data, behavioral metrics
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 16 |
P2Priority 2 |
58
|
Google AdsMarketing, Digital Teams |
1 |
25–75 |
Intake benefit: Better marketing ROI with 4–8 hrs/week time savings Calculated benefit: 5,200-31,200 hrs/year (25-75 users * 4-8 hrs/week * 52). |
High |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Ad optimization, CPL analysis, spend effectiveness
- Data involved from intake
- Campaign data, spend metrics, click/conversion data
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 17 |
P2Priority 2 |
57
|
AirtableLNNA Ops; Marketing, Project Teams |
2 |
Merged source estimate: 5 to 30 users across two entries. |
Intake benefits: improvement to VC processing and task automation; operational coordination with 2-4 hrs/week time savings. Calculated benefit from quantified Airtable entry: 1,040-6,240 hrs/year (10-30 users * 2-4 hrs/week * 52). |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Allow claude to integrate with automation platform for automated, multi tool, AI functionality.; Operational tracking and lightweight project management
- Data involved from intake
- JSON(Reocrds, fields, IDs, formulas); Project tables, workflow data
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 18 |
P2Priority 2 |
56
|
CanvaLNUK Marketing |
1 |
20 |
Intake benefit: Enable teams to create collateral straight from our currnet copywriting GPT's without reinputting copy into templates. |
Medium |
ChatGPT: Native ChatGPT Canva app.
Claude: Claude connector/app availability should be verified in tenant directory.
Gemini: Custom/MCP or Workspace creative alternatives; no native Gemini app confirmed. |
Details- Use case from intake
- "2. Auto-generate content in designs Create headlines, copy, and CTAs with ChatGPT and drop them straight into Canva layouts. 3. Rapid iteration and testing Quickly produce multiple creative versions with different angles to test what performs best. 4. Brand consistency Use pre-defined tone and Canva brand kits to keep messaging and visuals aligned. 5. Presentations and reports Turn outlines into ready-designed slides for updates, reviews, and strategy decks. 6. Content repurposing at scale Convert one piece of content into multiple assets across channels quickly and consistently."
- Data involved from intake
- Brand kits (fonts, colours, logos) Tone of voice Campaign briefs, messaging, and draft copy messaging rules
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 19 |
P3Priority 3 |
49
|
Otter.aiLaw360 Editorial Team |
1 |
20-40 |
Intake benefit: It will save time be helping the reporters cull through hours of materials in a few minutes, it could improve the content of the articles our readers receive by providing deeper analysis, and it avoids the slow process of downloading interviews and transcripts and then trying to upload them to ChatGPT. The business impact could be a better workflow for staff and improved news coverage for our subscribers. |
Low |
ChatGPT: Custom MCP/app required.
Claude: Custom MCP required.
Gemini: Custom connector likely. |
Details- Use case from intake
- Law360 reporters use Otter.ai to record interviews with sources, hearings and others in their daily work. This connector will allow them to use ChatGPT to review those interviews, look for trends, examine information across a set of interviews or recordings, and more. We are receiving training from the Otter.ai team this week on what else this connector is capable of.
- Data involved from intake
- Recordings in Otter.ai, which could include source interviews, conference recordings, hearings (if allowed) as well as editorial board meetings and more. This data would become accessible in ChatGPT Enterprise, allowing out reports to mine their source material deeply for news stories and analysis.
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 20 |
P3Priority 3 |
48
|
Document DrafterForms (Global Document Automation) |
1 |
30-50 |
No value/benefit stated in intake. |
Low |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Core document automation platform - high usage
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 21 |
P3Priority 3 |
47
|
SEMRushMarketing, SEO, Content |
1 |
15–40 |
Intake benefit: Improved organic growth and content efficiency with 2–4 hrs/week time savings Calculated benefit: 1,560-8,320 hrs/year (15-40 users * 2-4 hrs/week * 52). |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- SEO analysis, content recommendations, search optimization
- Data involved from intake
- SEO metrics, keyword data, ranking insights
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 22 |
P3Priority 3 |
46
|
ConfirmitProduct, Research, CX Teams |
1 |
15–50 |
Intake benefit: Improved customer insights with 2–4 hrs/week time savings Calculated benefit: 1,560-10,400 hrs/year (15-50 users * 2-4 hrs/week * 52). |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Survey and customer feedback analysis
- Data involved from intake
- Survey responses, sentiment data
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 23 |
P3Priority 3 |
45
|
LinkedIn AdsMarketing, Demand Generation |
1 |
15–40 |
Intake benefit: Improved lead generation and targeting efficiency with 2–4 hrs/week time savings Calculated benefit: 1,560-8,320 hrs/year (15-40 users * 2-4 hrs/week * 52). |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Audience targeting and campaign optimization
- Data involved from intake
- Ad metrics, audience engagement data
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 24 |
P3Priority 3 |
44
|
SurveyMonkeySales Enablement, Marketing |
1 |
15–40 |
Intake benefit: Improved customer/user understanding with 2–4 hrs/week time savings Calculated benefit: 1,560-8,320 hrs/year (15-40 users * 2-4 hrs/week * 52). |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Feedback analysis and adoption insights
- Data involved from intake
- Survey results, feedback responses
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 25 |
P3Priority 3 |
43
|
ArticulateSales Enablement, Learning & Development |
1 |
50–100 |
Intake benefit: Improved onboarding and training scalability with 2–5 hrs/week time savings Calculated benefit: 5,200-26,000 hrs/year (50-100 users * 2-5 hrs/week * 52). |
Low |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Learning content management, training quality analysis
- Data involved from intake
- Learning modules, enablement content
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 26 |
P3Priority 3 |
42
|
AsanaSales Enablement, PMO, Operations |
1 |
25–75 |
Intake benefit: Better project execution and visibility with 2–5 hrs/week time savings Calculated benefit: 2,600-19,500 hrs/year (25-75 users * 2-5 hrs/week * 52). |
Low |
ChatGPT: Native ChatGPT supported app in OpenAI list.
Claude: Pre-built Asana remote MCP connector.
Gemini: Custom/Gemini Enterprise route; no native Gemini app confirmed. |
Details- Use case from intake
- Delivery tracking and execution visibility
- Data involved from intake
- Tasks, projects, milestones
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 27 |
P3Priority 3 |
41
|
SlidoSales Enablement, Events, Training |
1 |
15–50 |
Intake benefit: Better training and event effectiveness with 1–3 hrs/week time savings Calculated benefit: 780-7,800 hrs/year (15-50 users * 1-3 hrs/week * 52). |
Low |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Session engagement and participation analytics
- Data involved from intake
- Polling data, Q&A, participation metrics
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 28 |
P3Priority 3 |
40
|
EnvatoSales Enablement, Marketing |
1 |
10–30 |
Intake benefit: Faster content production with 1–3 hrs/week time savings Calculated benefit: 520-4,680 hrs/year (10-30 users * 1-3 hrs/week * 52). |
Low |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Marketing and enablement content creation
- Data involved from intake
- Creative assets, templates, media
- Evidence and assumptions
- Estimated users and value/benefit are sourced from intake entries only.
|
| 29 |
EXPExplore / InfoSec |
79
|
Microsoft DataverseLNUK Marketing |
1 |
150-200 |
Intake benefit: "Use cases are too extensive. This is the one connector which would enable us to do anything in ChatGPT with our data " |
High |
ChatGPT: Custom MCP/app required.
Claude: Custom MCP required.
Gemini: Custom connector / data-store route likely. |
Details- Use case from intake
- MS dataverse. If we did this we could host any content or data we want Chat GPT to access. It really could be the one size fits all. Usage data, content hub (already in there). Extracted Salesforce data too.
- Data involved from intake
- Salesforce, ContentvHub (marketing and sales insights etc), usage data. You name it!
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 30 |
EXPExplore / InfoSec |
78
|
Oracle ADWFinancial Systems Administration |
1 |
600+ |
Intake benefit: This is a critical data source for finance reporting and analytics, and enabling direct, governed access via AI tools would significantly improve productivity and insight generation. |
High |
ChatGPT: Custom MCP/app required.
Claude: Custom MCP required unless mediated through enterprise data platform.
Gemini: Custom connector/data store likely. |
Details- Use case from intake
- Use case: Enable AI tools to securely query and analyze finance data (reporting, reconciliation, anomaly detection, and operational insights)
- Data involved from intake
- Data types include financial transactions, master/reference data, aggregated reporting data, and time-series financial metrics, primarily stored as numeric, string, and date/time fields within Oracle ADW.
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 31 |
EXPExplore / InfoSec |
77
|
Oracle Hyperion / EssbaseFinancial Systems Administration |
1 |
600+ |
Intake benefit: Faster access to financial insights and reduced manual reporting Improved self-service analytics for Finance users Reduced reliance on SMEs for data extraction and interpretation Increased consistency in reporting and analysis Enhanced productivity in planning and forecasting cycles |
High |
ChatGPT: Custom MCP/app required.
Claude: Custom MCP required.
Gemini: Custom connector/data store likely. |
Details- Use case from intake
- Enable AI tools to query and interpret financial reporting data directly from Essbase, including: Retrieving financial results (Actuals, Forecasts, Budget) Supporting variance analysis and trend insights Explaining reporting structures (dimensions, hierarchies, mappings) Assisting with ad hoc reporting and data validation
- Data involved from intake
- Financial data (P&L, Balance Sheet, Cash Flow) Forecast and budget scenarios (RF1, RF2, RF3, Budget) Dimensional data (Entity, Account, Management Org, Product, etc.) Reporting structures (Plan Elements, Reporting Analysis, Business State) Aggregated and detailed reporting outputs from FIN_REPT
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 32 |
EXPExplore / InfoSec |
76
|
Oracle FusionFinance - Accounting; Finance, Operations |
2 |
Merged source estimate: 25 to 100+ users across two Oracle Fusion entries. |
Intake benefits: need to firm up the impact; improved finance efficiency and oversight with 2-5 hrs/week time savings. Calculated benefit from quantified Fusion Expenses entry: 2,600-19,500 hrs/year (25-75 users * 2-5 hrs/week * 52). |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- There are many use cases, AP chatbot, Invoice coding - we are reviewing use cases with the innovation office; Expense reporting and finance automation
- Data involved from intake
- AP subledgers, Project Accounting subledgers,; Expense data, invoices, approvals
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 33 |
EXPExplore / InfoSec |
75
|
EDW (Enterprise Data Warehouse)Commercial, Analytics, Revenue Ops |
1 |
50–100 |
Intake benefit: Unified enterprise analytics and major reporting efficiency gains with 6–12 hrs/week time savings Calculated benefit: 15,600-62,400 hrs/year (50-100 users * 6-12 hrs/week * 52). |
High |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Enterprise reporting and data mashups
- Data involved from intake
- Structured enterprise datasets, operational metrics
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 34 |
EXPExplore / InfoSec |
74
|
EdSchedAnalytical, Legislation, Official Reports |
1 |
400 |
No value/benefit stated in intake. |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Query scheduling and historical publication data; forecast timelines and capacity using prior performance and delay patterns to improve planning accuracy; identify revenue acceleration opportunities by surfacing titles, updates, or releases that can be brought forward without increasing risk; explain schedule slippage and downstream revenue impact in plain language; automate reporting across title, portfolio, regional, and enterprise levels; validate cost‑per‑update assumptions against actual historical effort and outcomes; connect schedule forecasts with Neptune, QMS, and financial data to support more accurate investment, prioritization, and delivery decisions.
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 35 |
EXPExplore / InfoSec |
73
|
Neptune (UK, CAN, US) (Repository)GEO - Analytical, Legislation |
1 |
600 (including REPH) |
No value/benefit stated in intake. |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Track active updating and coverage overlap at a granular level; identify duplication and near‑duplicate content across titles; surface opportunities to create spin‑off products, modular offerings, or region‑specific derivatives using existing content; explain reuse and rationalization opportunities to editorial and product teams; generate region‑level portfolio reporting
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 36 |
EXPExplore / InfoSec |
72
|
NEWTCase Summaries |
1 |
150 |
No value/benefit stated in intake. |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Connect GPT to the NEWT to automatically generate draft summaries, assign QuickWords, and recommend treatment signals directly within the editorial workflow. This enables faster case processing, more consistent taxonomy application, and higher-quality legislative citator coverage.
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 37 |
EXPExplore / InfoSec |
71
|
ELEGANTShepard's (US/REPH/SA) |
1 |
75 |
No value/benefit stated in intake. |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Provide context-aware prompts explaining why a treatment or POL suggestion was surfaced (beyond trigger language alone), Surface similar past editorial decisions for analogous fact patterns or procedural postures, Flag high-risk or low-confidence suggestions earlier, helping editors focus effort where it’s most needed
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 38 |
EXPExplore / InfoSec |
70
|
PCCGEO - Legislation (global) |
1 |
300 |
No value/benefit stated in intake. |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- PCC tool currently enables comparison between two XML documents (MNCR) for QC purposes. This would enable non-XML content to take advantage of the tool
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 39 |
EXPExplore / InfoSec |
69
|
Teamsite CMSMarketing, Web, Content Teams |
1 |
15–40 |
Intake benefit: Faster publishing cycles and content optimization with 2–5 hrs/week time savings Calculated benefit: 1,560-10,400 hrs/year (15-40 users * 2-5 hrs/week * 52). |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- AI-assisted publishing and content deployment
- Data involved from intake
- Web content, CMS assets, SEO content
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 40 |
EXPExplore / InfoSec |
68
|
ECHOGEO - Practical Guidance, Forms |
1 |
250 |
No value/benefit stated in intake. |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Drafting, Editing
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 41 |
EXPExplore / InfoSec |
67
|
LexisPlus AI (L+AI)GEO - Practical Guidance |
1 |
250 |
No value/benefit stated in intake. |
High |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Drafting, Editing
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 42 |
EXPExplore / InfoSec |
66
|
Agile Release Tracker (ART)Product Management |
1 |
100+ within PM group (much more expanding beyond PM group use cases) |
No value/benefit stated in intake. |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- ART is our central product release tracker, so there are various potential use cases - e.g., querying the latest on a certain release by ID, summarizing information for the quarterly roadmap deck / updates, flagging changes for key release items.
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 43 |
EXPExplore / InfoSec |
65
|
KnowableContent, Research Teams, Legal, Contract Management |
1 |
15–40 |
Intake benefit: Faster information retrieval and contract research workflows with 2–4 hrs/week time savings Calculated benefit: 1,560-8,320 hrs/year (15-40 users * 2-4 hrs/week * 52). |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- Knowledge discovery, enterprise research, contract intelligence, clause retrieval
- Data involved from intake
- Research content, enterprise knowledge, contracts, legal documents
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
|
| 44 |
EXPExplore / InfoSec |
64
|
NPS survey dataProduct Management (valuable more broadly) |
1 |
100+ |
No value/benefit stated in intake. |
Medium |
ChatGPT: Custom MCP/app likely; no native ChatGPT app confirmed in checked docs.
Claude: Custom MCP or vendor MCP likely; verify Claude connector directory.
Gemini: Custom Gemini Enterprise connector or Gemini CLI MCP likely. |
Details- Use case from intake
- To be able to dig into user feedback and look into trends for specific topics/features, sub-populations, etc.
- Data involved from intake
- Not provided in intake.
- Evidence and assumptions
- Explore / InfoSec: internal custom MCP or sensitive/complex data surface requiring ownership, permissions, data-boundary, and security review before build.
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