Product · Use Case
AI Agent for Product Managers
Product managers live at the intersection of customers, engineering, and business - drowning in context from every direction. Pokee aggregates the signals and automates the communication so you can focus on decisions.
The Problem
- Customer feedback is scattered across support, sales, and social
- Sprint planning prep requires pulling from 5 tools
- Stakeholder updates are repetitive and time-consuming
- Feature request tracking is fragmented
- Release communication requires coordinating multiple channels
What You Can Automate
- 1
Customer feedback aggregation
Time saved: 30 min/dayPokee aggregates the customer voice from scattered sources into one daily feed.
Prompt“Every day, pull customer feedback from Intercom conversations, support tickets, and sales call notes. Categorize by feature area and post a summary to #product-feedback.”
- 2
Sprint planning data pack
Time saved: 1 hour/sprintPokee prepares sprint planning inputs so you walk in with data, not opinions.
Prompt“Every other Thursday, compile: bug count by severity, feature requests by votes, customer feedback themes, and engineering capacity. Create a Notion page for sprint planning.”
- 3
Weekly stakeholder update
Time saved: 30 min/weekPokee keeps stakeholders informed without you writing the same update every week.
Prompt“Every Friday, pull what shipped this week, what's in progress, and what's planned next. Post to #product-updates with context on priorities.”
- 4
Feature release communication
Time saved: 45 min/releasePokee generates multi-channel release communication from your Jira completion data.
Prompt“When a feature epic in Jira moves to Done, draft a release note for the blog, an in-app notification copy, and a Slack announcement for #product-launches.”
- 5
Competitive feature tracking
Time saved: 1 hour/weekPokee keeps your competitive analysis current without manual monitoring.
Prompt“Every week, monitor competitor changelogs and product blogs. Update our competitive matrix in Notion with new features.”
PostHogBefore vs After Pokee
| Metric | Before Pokee | After Pokee |
|---|---|---|
| Customer feedback | Scattered, ad hoc review | Daily categorized summary |
| Sprint prep | 1+ hours pulling data | Auto-compiled data pack |
| Stakeholder updates | 30 min writing each week | Auto-generated from activity |
| Release communication | 45 min per release | Multi-channel auto-drafted |
| Competitive tracking | Sporadic manual checks | Weekly automated updates |
How It Works
- 1
Connect your tools
Head to pokee.ai/authorizations and link each tool in your stack with one-click OAuth. Takes 2 minutes total.
- 2
Describe workflows
Tell Pokee what you want automated in plain English. No triggers to configure, no flowcharts to build.
- 3
Pokee executes
Workflows run automatically with intelligent error handling and adaptation. When tools change or edge cases appear, Pokee adjusts.
Why Pokee
Natural language setup
Describe workflows like talking to a colleague, not configuring a flowchart.
Unlimited steps
One description can chain 10+ actions across all your tools. Zapier charges per step.
Self-healing
When APIs change or rate limits hit, Pokee adapts. Zapier breaks.
Context-aware
Pokee understands your data and makes intelligent decisions about edge cases.
One price
All integrations, all workflows, unlimited actions. No per-Zap pricing.
Deployment & Governance
Runs where your data lives, with humans in control
Private deployment
A dedicated managed tenant, your own VPC on AWS, Azure or GCP, on premises, or air-gapped. Your data never leaves your boundary.
Approvals and audit
Approval gates wherever you set them, role-based access, and a full audit log. Every agent action is attributable and reviewable.
Measurable pilots
Pilots run on two or three real workflows, typically live inside two weeks. Measure time saved, accuracy and cycle time before rollout.
FAQ
- How quickly can product managers get started with Pokee?
- Most teams are automating within 5 minutes. Connect your tools via OAuth, describe your first workflow in English, and Pokee starts executing immediately.
- What if my workflow is complex or has many conditions?
- That's where Pokee shines. Unlike trigger-action tools, Pokee handles complex conditional logic, branching paths, and context-dependent decisions. Describe the full logic in English.
- Can Pokee handle sensitive product managers data securely?
- Yes. SOC 2 Type I certified with Type II in progress. All data encrypted in transit and at rest. OAuth tokens revocable anytime. Enterprise plans offer on-premise deployment.
- How much does it cost?
- Free tier includes 500 credits. Paid plans start at $19.99/month for unlimited integrations and workflows. No per-automation pricing.
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