The AI workforce platform
Give every department a team of AI employees that actually get work done.
chAIn deploys specialized AI agents across your company — they plan, use your existing tools, collaborate, and run work that takes minutes or days, all under policy you control and an audit trail you can prove.
- departments, one platform
- 14
- guardrails on every delegation
- 6
- of tool calls policy-checked
- 100%
- Leadsets the goal and delegates
- Managersroute and sequence the work
- Specialistsexecute with scoped tools
Structure the work the way you structure a company.
Agents report, delegate, and collaborate across a hierarchy you design — with every layer bounded by the same policy engine.
- Tier 1
Executive agent
Sets direction and delegates — access is never inherited, always granted.
- Tier 2
Department managers
Own an area, break goals into tasks, and route work to specialists.
- Tier 3
Specialist agents
Do the work with the specific tools and skills their role allows.
Specialized employees for the work each team actually does.
Start from a proven role and shape it to your organization, or describe a new one in plain language.
Engineering
Staff Engineer
Triages issues, drafts PRs, and reviews changes against your standards.
Product
Product Manager
Turns feedback into specs, groups themes, and keeps the roadmap current.
Security
Security Analyst
Watches signals, opens incidents, and enforces the controls you define.
Finance
Financial Analyst
Reconciles reports, flags anomalies, and prepares board-ready summaries.
Sales
Sales Engineer
Researches accounts, drafts outreach, and keeps the CRM honest.
Support
Support Specialist
Resolves tickets from your knowledge base and escalates what it should.
Marketing
Content Strategist
Plans campaigns, drafts copy on brand, and reports on what worked.
Operations
Operations Lead
Runs recurring processes on schedule and hands off what needs a human.
Deploying an AI employee is four decisions, not a project.
Pick a role
Choose from the marketplace or describe the employee you need in plain language.
Grant access
Connect the tools it may use. Every permission is explicit, scoped, and revocable.
Set the guardrails
Budgets, working hours, and which actions need a human to approve.
Put it to work
Hand it a goal. Watch it plan, act, and report — live, with every step recorded.
Agents use the tools your team already uses.
Connect a curated set of high-value systems, or reach anything else through a remote MCP server. Every connection is scoped and revocable.
- SlackCommunication
- GitHubEngineering
- Google WorkspaceProductivity
- JiraProject tracking
- ConfluenceKnowledge
- Remote MCPAnything else
Real work is long-running. chAIn is built for it.
A run is durable: it checkpoints as it goes, survives restarts, pauses for approvals instead of guessing, and never holds a web request open.
Step 1
Kicked off
A goal arrives — from you, a schedule, or another agent — and a durable run begins.
Step 2
Working
The agent plans and acts across many steps, checkpointing so nothing is lost to a restart.
Step 3
Waiting
When an action needs sign-off, the run pauses on an approval instead of guessing.
Step 4
Done
It finishes, settles exactly what it used, and leaves artifacts and a complete history.
Autonomy you can actually allow, because it is contained by design.
chAIn does not claim prompt injection can be eliminated. It is built for containment, evidence, and least privilege — so a capable agent is also a safe one.
Tenant isolation to the row
Every record is scoped to your organization and enforced in the database itself, not just the app.
A policy check on every tool call
No agent action reaches a real system without passing the policy engine first — no exceptions, no bypass.
Nothing runs on trust
Retrieved documents and tool output are treated as untrusted data, never as instructions.
A tamper-evident audit trail
Every consequential action is recorded in a hash-chained log you can export and verify.
Four risk tiers, one clear rule for each.
Every tool call is classified before it runs. Low-risk work flows; high-risk work waits for a person; the dangerous is refused outright.
Low risk
Runs automatically when authorized.
Summarize a report, read an approved doc.
Medium risk
Configurable — approve or let it run.
Open a draft PR, create a Jira ticket.
High risk
Always requires a human to approve.
Send an external email, deploy, move money.
Prohibited
Denied by default, everywhere.
Bulk deletion, credential extraction.
Skills are the verbs your agents can perform.
Each skill is versioned and only reaches production after it passes evaluation. Roll one back and every agent using it follows — no redeploy.
- Summarize a documentGeneral
- Draft a pull requestEngineering
- Triage an incidentSecurity
- Reconcile a reportFinance
- Qualify a leadSales
- Answer from the knowledge baseSupport
- Plan a campaignMarketing
- Run a recurring processOperations
Real work, handed off end to end.
Engineering
Clear the backlog that never gets cleared
An engineering agent triages new issues, reproduces the clear ones, and opens draft fixes for review — so your team starts from a diff, not a blank page.
Support
Answer in minutes, escalate what matters
A support agent resolves routine tickets from your own documentation and hands the rest to a person with the context already gathered.
Operations
Turn recurring work into a schedule
An operations agent runs the weekly close, the monthly report, the onboarding checklist — on time, every time, and asks for a human only where you told it to.
Start free. Pay for real work, not seats.
Usage is metered in credits and settled against what an agent actually used. Budgets stop a run before it can overspend.
Free
$0forever
Deploy your first AI employee and see real work happen.
- 1 active agent
- Monthly credit grant
- The full marketplace and skills catalog
- Policy engine and audit trail
- Most popular
Pro
$20per month
A working team of agents, with $20 of credit included.
- Multiple active agents
- $20 of usage credit included
- Durable, long-running workflows
- Human-approval controls and budgets
- Priority email support
Enterprise
Customlet's talk
For regulated and technical organizations that need control.
- Unlimited agents and custom roles
- SSO, SCIM, and custom data retention
- Dedicated support and onboarding
- Volume credit pricing
Control, compliance, and support at the scale you operate.
For organizations where an audit is a Tuesday. Bring your identity provider, your retention rules, and your reviewers — chAIn fits inside them.
Contact sales- Single sign-on and directory sync
- Custom roles and granular permissions
- Configurable data retention and residency
- Private deployment options
- A signed audit trail for every action
- A named team for onboarding and support
What people ask before they start.
What is an AI employee, exactly?
A configured agent with a role, a set of skills, the specific tools it may use, and the guardrails you set. It receives goals, decomposes them into steps, and does the work — asking for approval where your policy requires it.
How do you keep it from doing something it shouldn't?
Every tool call passes a central policy engine before it executes. High-risk actions require a human to approve, some are prohibited outright, and nothing an agent reads is ever treated as an instruction. Every action is recorded.
Is my data isolated from other customers?
Yes. Every record is scoped to your organization and enforced in the database with row-level security against a restricted role — not left to application code to remember.
What does it cost to run?
Usage is metered in credits and settled against what an agent actually used, so you only pay for real work. Budgets stop a run before it can overspend.
Which tools can agents connect to?
Slack, GitHub, Google Workspace, Jira, and Confluence to start, plus any remote MCP server — so an agent can reach the systems your team already uses.
Put your first AI employee to work today.
Start free, connect a tool, and hand an agent a real task in minutes. Upgrade only when it has earned it.