Analytics · Use Case
AI Agent for Data Teams
Data teams spend too much time on data delivery and not enough on data insight. Pokee automates the last mile - report distribution, alert routing, and stakeholder communication.
The Problem
- Stakeholders constantly ask for the same metrics via Slack
- Report distribution is manual and error-prone
- Data quality issues are discovered by end users, not proactively
- Ad hoc data requests interrupt deep analysis work
- Dashboard fatigue means nobody checks the dashboards
What You Can Automate
- 1
Scheduled metric delivery to Slack
Time saved: 30 min/weekPokee delivers metrics proactively so stakeholders stop asking for them.
Prompt“Every Monday at 9am, pull key business metrics from our data warehouse and post a formatted summary to #company-metrics.”
- 2
Anomaly detection alerts
Time saved: 20 min/dayPokee monitors data health and catches anomalies before stakeholders discover them.
Prompt“Every hour, check our key metrics. If any deviate 2+ standard deviations from the 30-day average, alert #data-alerts with the metric, value, and expected range.”
- 3
Self-serve data request routing
Time saved: 1 hour/dayPokee triages data requests, answering simple ones instantly and queuing complex ones.
Prompt“When someone posts in #data-requests, determine if it can be answered from existing dashboards. If yes, reply with the link. If not, create a task in our backlog.”
- 4
Data pipeline failure alerts
Time saved: 10 min/failurePokee monitors pipeline health and routes failures to the right engineer immediately.
Prompt“When a data pipeline job fails, post to #data-engineering with the job name, error message, last successful run, and owner.”
- 5
Monthly data quality report
Time saved: 2 hours/monthPokee audits data quality proactively and surfaces issues before they affect decisions.
Prompt“On the 1st of each month, run data quality checks: null rates, duplicate counts, freshness per table. Email the data quality scorecard to leadership.”
PostHogBefore vs After Pokee
| Metric | Before Pokee | After Pokee |
|---|---|---|
| Metric delivery | Manual, on-demand only | Scheduled, proactive |
| Anomaly detection | Found by stakeholders | Caught within the hour |
| Data request handling | Interrupts deep work | Auto-triaged and routed |
| Pipeline monitoring | Check logs manually | Instant Slack alerts |
| Data quality audits | Quarterly at best | Monthly automated reports |
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 data teams 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 data teams 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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