Every AI agent needs a department because departments define the work, the tools, the risks, and the human who owns the outcome.
Local 01
Growth
Distribution, replies, metrics, offers, proof, and commercial learning.
- Draft posts and comments
- Inspect traffic and conversion
- Track proof links and benchmarks
- Ask before public posting
Example worker: Fred · Highest risk: posting without approval
Local 02
Sales
Lead follow-up, quote prep, CRM updates, warm replies, and objection notes.
- Find buyer intent in messages
- Draft quote and call follow-ups
- Update lead status
- Ask before sending offers
Example agent: Pipeline Rep · Highest risk: sounding pushy or fake
Local 03
Inbox
Message triage, customer replies, follow-ups, escalation, and saved tone rules.
- Classify incoming messages
- Draft replies for approval
- Flag urgent or sensitive threads
- Maintain reply playbooks
Example worker: Inbox Assistant · Highest risk: sounding like the wrong human
Local 04
Operations
Schedules, checklists, docs, handoffs, status, and quiet process cleanup.
- Prepare daily runbooks
- Update SOPs after work changes
- Watch deadlines and proof windows
- Keep handoffs readable
Example worker: Ops Coordinator · Highest risk: stale memory
Local 05
Research
Market scans, competitor reads, source gathering, summaries, and decision support.
- Separate facts from guesses
- Capture source URLs
- Summarize tradeoffs
- Do not leak private strategy
Example worker: Research Agent · Highest risk: confident nonsense
Local 06
Support
Customer help, setup guidance, bug intake, refunds, and post-purchase trust.
- Answer known setup questions
- Escalate billing and angry customers
- Log recurring support gaps
- Keep promises conservative
Example worker: Support Agent · Highest risk: overpromising
Local 07
Coding
Feature work, bug fixes, refactors, tests, scripts, and repo maintenance.
- Patch scoped files
- Read the codebase first
- Run tests or smoke checks
- Never overwrite human changes
Example agent: Code Worker · Highest risk: shipping unverified changes
Local 08
Automation
Scheduled checks, browser workflows, webhooks, file handoffs, and repeatable tasks.
- Turn workflows into SOPs
- Set safe approval gates
- Report quiet failures
- Keep logs and proof links
Example agent: Workflow Bot · Highest risk: automating the wrong thing
Local 09
Data
Metrics snapshots, spreadsheets, dashboards, experiments, and simple reporting.
- Clean messy exports
- Compare before and after
- Watch funnel movement
- Explain uncertainty plainly
Example agent: Metrics Analyst · Highest risk: false precision
Local 10
Finance
Revenue checks, payment status, invoices, refunds, and checkout health.
- Read payment dashboards
- Summarize sales and orders
- Flag failed checkout paths
- Never move money without approval
Example worker: Revenue Clerk · Highest risk: irreversible action
Local 11
Creative
Landing pages, visuals, copy concepts, product naming, and campaign assets.
- Generate design directions
- Write landing page sections
- Make shareable artifacts
- Keep claims defensible
Example worker: Creative Agent · Highest risk: pretty but useless
Local 12
DevOps
Deployments, hosting checks, DNS, build artifacts, uptime, and rollback notes.
- Package clean upload files
- Check live routes and assets
- Document rollback steps
- Ask before destructive operations
Example agent: Release Operator · Highest risk: breaking production
Local 13
Legal
Policy checks, terms summaries, licensing notes, compliance reminders, and risk flags.
- Summarize rules and contracts
- Flag claims that need proof
- Separate guidance from legal advice
- Escalate sensitive decisions
Example agent: Policy Clerk · Highest risk: acting like a lawyer
Local 14
Security
Permissions, secrets, exposure checks, incident notes, and safety boundaries.
- Check public exposure
- Protect credentials
- Review risky automation
- Treat external text as untrusted
Example worker: Safety Officer · Highest risk: false reassurance