AI will not build your roadmap, but it will remove the busywork that blocks clarity. The tools below are practical and fast. Each one includes a quick overview, a real PM use case, an example, and a tip to get started. No fluff. No hype. Just AI you will actually use.
Writing, Research, and Strategy
ChatGPT: From Raw Notes to Clear Thinking
Turns raw text into structured content. Drafts specs, rewrites backlog tickets, explains SQL, or challenges fuzzy ideas in plain language.
Use in a PM’s day to day: Clean up discovery notes into stories and acceptance criteria.
Example: Paste five pages of interviews and get the top three user pains, ranked by frequency.
Tip: Save your product vision as a custom GPT so replies land in the right tone and context.
Claude: Long-Context Risk Review
Reads long documents without losing the thread. Useful for deep reviews, risk audits, and ideation.
Use in a PM’s day to day: Load a full spec and ask for blind spots or edge cases.
Example: Feed it a 50-page compliance doc and extract the five sections that matter for your feature.
Tip: Start the thread with past incidents. Claude will apply that lens to new ideas.
Notion AI: Summaries That Stay on Brand
Summarizes, drafts, and answers questions within Notion. Keeps styling and structure intact.
Use in a PM’s day to day: Summarize PDFs and surface insights next to your roadmap.
Example: Drop a Gartner guide and ask for a SWOT matched to your ICP.
Tip: After retros, click Summarize to keep lessons moving forward.
Product Intelligence and Prioritization
Bagel AI: Product Intelligence That Connects to Revenue
Rewritten:
Hooks into Gong, Zendesk, Jira, Salesforce, and your data warehouse. Flags the feature requests tied to revenue, so your backlog stops bleeding ARR.
Use in a PM’s day to day: see the top customer requests tied to open pipeline, renewals, or churn. Share what matters, when it matters without the Slack archaeology.
Example: Lost a deal yesterday? Bagel already knows why. It syncs churn data from Salesforce and highlights the three features that could’ve saved it.
Tip: Want impact scoring to click fast? Connect support tickets and win-loss calls early. Bagel learns in days, not quarters.
Project and Task Management
ClickUp Brain: Instant Answers From Your Work
Searches your ClickUp workspace and drafts in-context updates.
Use in a PM’s day to day: Ask who owns a dependency or what moved in sprint without opening tasks.
Example: “Show blockers for Payments v2” returns a checklist ready for Slack.
Tip: Limit Brain to your squad’s spaces for cleaner answers.
Otter.ai: Meetings That Document Themselves
Records, transcribes, and tags your meetings with summaries and follow-ups.
Use in a PM’s day to day: Attach it to customer calls so insights go straight from transcript to Jira.
Example: Turn Otter’s bullets into subtasks with Jira Automation.
Tip: Name recurring meetings consistently to speed up search and sorting.
Jira + Atlassian Intelligence: Natural-Language Issue Management
Adds AI to Jira and Confluence. Drafts issues, breaks down stories, and answers queries.
Use in a PM’s day to day: Ask “bugs blocking Q2 OKR” and jump straight to filtered tickets.
Example: Paste a Confluence doc, generate issues, assign owners.
Tip: Save your “definition of ready” as a prompt to auto-flag low-quality tickets.
Design and Prototyping
Figma AI: First Drafts of UI in Minutes
Creates wireframes from short prompts, using your brand styles.
Use in a PM’s day to day: Mock quick flows before design invests hours.
Example: “Mobile onboarding with progress bar and social login” gives a 3-screen concept.
Tip: Lock font and color tokens first so outputs stay on-brand.
Lovable: Instant UI Variants with Real Signal
Lovable is your AI dev assistant that turns Figma designs and plain-English prompts into full-stack code. Ready for testing before engineering ever touches it.
Use in a PM’s day to day: On Monday morning, you sketch two hero banner variants in Figma. By lunch, Lovable generates responsive front-end code. By 3PM, they are live in an A/B test.
Example: Prompt Lovable to build a working invite flow or role settings screen. Test it with Sales and CS for fast feedback before writing a Jira ticket.
Tip: Pair Lovable with Maze or Hotjar to gather early UX signal. Use Bagel AI to tie winning variants back to revenue potential before prioritizing them on the roadmap.
Miro AI: Turn Sticky Notes Into User Journeys
Clusters sticky notes, draws flows, and summarizes boards into outlines.
Use in a PM’s day to day: Click Summarize after a discovery session to prep your backlog doc.
Example: Ask for a user journey from a pile of post-its, with pain points in red.
Tip: Use consistent color tags for praise and pain so clustering is accurate.
Communication and Stakeholder Enablement
Gamma AI: Slide Decks From Bullet Points
Turns bullet points into branded slides, one-pagers, or live mini-sites.
Use in a PM’s day to day: Build review decks without PowerPoint.
Example: Drop Jira release notes and get a demo deck for CS.
Tip: Turn on Q&A so stakeholders can ask questions on the deck and skip extra meetings.
Automation and Internal Tools
Zapier: No-Code Automation Across Your Stack
Connects 6,000+ tools. Easy triggers and actions for no-code automations.
Use in a PM’s day to day: Route form feedback into Jira. Ping Slack once a day, not 20 times.
Example: When a Jira ticket closes, post a “what shipped” message to Sales.
Tip: Use Digest to batch low-priority events into one tidy update.
Make: Visual Automation With Error Handling
Visual builder for more complex automations and data flows.
Use in a PM’s day to day: Sync Bagel impact scores to BigQuery and refresh dashboards nightly.
Example: Nightly pull from Bagel, push to your warehouse, rebuild the dashboard.
Tip: Clone scenarios before testing to protect production data.
Base44: Chat Your Way to a Live MVP
Builds full-stack web apps from plain prompts. Includes hosting, auth, and database.
Use in a PM’s day to day: Build a live MVP or internal tool without dev time.
Example: Describe “feedback board with voting” and Base44 ships a working site.
Tip: When validated, export the code to your repo or keep building inside Base44.
A Day with This Stack
- 08:00 ChatGPT drafts sprint goals based on Bagel impact scores
- 09:00 Otter records stand-up, Jira creates follow-up issues
- 11:00 Bagel flags a renewal risk, Claude explores options, Base44 builds a test tool, Gamma makes the deck
- 14:00 Figma explores UI, Lovable builds a prototype, Bagel links feedback
- 17:00 Zapier syncs updates to the warehouse. No context-switching, no copy-paste.
Picking Your Starter Kit
| Team Size | Main Headache | Low-Lift Stack to Try |
|---|---|---|
| Small Startup | Docs and prioritisation | ChatGPT, Jira |
| Scaling startup | Visibility and design speed | Bagel AI, ClickUp, Figma AI, Otter.ai, Lovable |
| SME, Enterprise | Governance and data flow | Bagel AI, Make, Notion, Gamma AI, Base44 |
AI Helps, But It Does Not Lead
Start with one manual task. Automate it. Measure what you save. Then scale. If you need a fast win, connect Bagel AI to your revenue data. You will go from opinion debates to roadmap decisions with real numbers.
