Research · Use Case
AI Agent for Research Teams
Research teams need to stay current on publications, track competitive developments, and share findings efficiently. Pokee automates the information gathering so researchers can focus on analysis and insight.
The Problem
- Literature monitoring across databases is time-consuming
- Research findings get siloed within individual researchers
- Conference and publication deadlines are easy to miss
- Competitive research requires checking multiple sources weekly
- Sharing insights with stakeholders requires reformatting for different audiences
What You Can Automate
- 1
Automated literature monitoring
Time saved: 1 hour/weekPokee keeps your research team current on new publications without manual searching.
Prompt“Every Monday, search Google Scholar and relevant databases for new papers on our research topics. Create a Notion page with titles, abstracts, and relevance scores.”
- 2
Research digest to stakeholders
Time saved: 30 min/reportPokee translates research activity into stakeholder-friendly updates.
Prompt“Every other Friday, compile the team's key findings, papers read, and insights from the past two weeks. Email a digest to product and leadership.”
- 3
Competitive intelligence monitoring
Time saved: 1 hour/weekPokee monitors competitive research activity and surfaces strategic signals.
Prompt“Every week, check competitor patents, publications, blog posts, and job listings for signals about their research direction. Post findings to #research-intel.”
- 4
Publication deadline tracking
Time saved: 10 min/deadlinePokee ensures important deadlines are never missed with escalating reminders.
Prompt“60 days, 30 days, and 7 days before each conference submission deadline, email the research team with the deadline, requirements, and submission link.”
- 5
Data source updates
Time saved: 15 min/dayPokee monitors data availability so your team uses the freshest inputs.
Prompt“Every day, check our key data sources for new datasets or updates. If something relevant is published, alert #data-team with the source, date, and description.”
Before vs After Pokee
| Metric | Before Pokee | After Pokee |
|---|---|---|
| Literature review | Hours of manual searching | Weekly automated digest |
| Finding distribution | Siloed in individual docs | Bi-weekly stakeholder digest |
| Competitive monitoring | Sporadic manual checks | Weekly automated intel |
| Deadline tracking | Calendar entries alone | Escalating email reminders |
| Data source updates | Manual daily checks | Instant automated alerts |
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.
導入とガバナンス
データのある場所で動き、主導権は人に
プライベート導入
専用マネージドテナント、AWS / Azure / GCP上の自社VPC、オンプレミス、エアギャップに対応。データは境界の外に出ません。
承認と監査
任意のポイントに承認ゲートを設定。ロールベースアクセスと完全な監査ログで、すべての操作を追跡・検証できます。
測定可能なパイロット
実際の業務フロー2〜3件で、通常2週間以内に稼働。削減時間、精度、サイクルタイムを測定してから展開を判断できます。
FAQ
- How quickly can research 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 research 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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