AI workforce platform

Your AI workforce, already working.

Agents that run on triggers, teams you talk to, AI employees that own a role. Installed for your department on the systems you already use. Every action logged. Anything risky waits for a person.

Dashboard: outcomes delivered this month, items needing attention, pending approvals, spend against budget
AI employee
A completed AI employee task with its summary and step count
Sequential agent
Recent runs of a sequential agent with duration, tokens and cost
Agentic team
An agentic team trace: supervisor handoff, tool calls and results
Runs on the systems you already use
One workspace, configured for your department

Pick the desk. Watch the same coworkers do its work.

Not eight products. One workspace where a department is a configuration: its tables, its knowledge, the systems it plugs into, and the people who sign off. Choose one to see a real run.

app.turtleaicoworker.com/sales
Sales / AI Employees / Ava
Ava · AI employeelive
YouSource 5 VPs of Engineering at US fintechs with 100 to 1000 employees and add them to Leads with Status New.
plan · 4 steps
  1. Reviewed the SDR playbookknowledge
  2. Prospect Finder search · 23 candidatestool
  3. Public web sanity checkstool
  4. Wrote 5 rows to Leads · Status = Newtable
✓5 leads added · 6 steps · 103s · nothing sent
  • Research every new lead and draft the follow-up
  • Score inbound leads and route them to the right rep
  • Keep the CRM clean, current and deduplicated
Runs onHubSpot · Salesforce · Pipedrive · Gmail
See the sales desk
  • Answer tickets from your own docs, all night
  • Triage, tag and dedupe on arrival
  • Hold refunds and escalations for a person
Runs onZendesk · Freshdesk · Intercom · Slack
See the customer support desk
  • Chase unpaid invoices on a cadence you set
  • Match invoices to POs before anything is paid
  • Review expenses against policy, not by eye
Runs onQuickBooks Online · Xero · Stripe · Gmail
See the finance desk
  • Screen every resume against the must-haves
  • Schedule interviews and send the prep
  • Draft outreach that a recruiter sends
Runs onGreenhouse · Ashby · Gmail · Google Calendar
See the recruiting desk
  • Answer policy questions from the handbook
  • Run the onboarding checklist for each new hire
  • Draft letters and confirmations for sign-off
Runs onSlack · Notion · Google Drive · Microsoft Teams
See the hr & people ops desk
  • Turn one brief into on-brand variants
  • Keep the content calendar full
  • Report what each asset actually did
Runs onMailchimp · Klaviyo · WordPress · Google Analytics
See the marketing desk
  • Turn the inbox into intake rows
  • Watch SLAs and escalate before they break
  • Turn meetings into actions with owners
Runs onAsana · Monday · Jira · Gmail
See the operations desk
  • First-pass contract review from your playbook
  • Answer policy questions before they reach counsel
  • Track intake, deadlines and follow-ups
Runs onGoogle Docs · Gmail · Dropbox · Box
See the legal desk
See it run · eighty-six seconds

Watch a desk get built and put to work.

A recruiting desk installed from one sentence, a support team answering live, a sales employee finishing an assignment, and the approval that stopped for a person. Real screens. Sound on.

One night at the support desk

Tickets answered at 2 AM. Refunds waiting at 9.

The same shape repeats in every department: the repeatable eighty percent runs on its own, and the twenty percent that needs judgement is queued for your team with the evidence attached.

  1. 02:14A ticket arrives

    Triaged, tagged and matched to a known issue before anyone is awake.

  2. 02:15Answered from your docs

    The reply cites the troubleshooting guide. Nothing is invented, nothing is promised.

  3. 02:41A refund request is held

    Money is a person's call. The request waits in the queue with its evidence attached.

  4. 09:00Your team opens one queue

    Forty tickets handled, four waiting, SLA held. The night is summarised, not replayed.

The support ticket table the morning after: rows triaged, classified and answered
The queue at 09:00 · real screen
A refund held for approval: the policy that held it, the exact arguments, Approve and Deny
The refund that waited · real screen
The rule every department inherits

Anything risky waits for a person.

Money, outbound email, CRM writes over a threshold, deletions: you decide what needs a human, and the platform enforces it on every worker, in every department, before the action runs.

  • A named approverThe request goes to the person accountable, with the reasoning and the evidence, on web, mobile, Slack or email.
  • Every action loggedEach tool call, who or what made it, what policy allowed it, and what it cost. Append-only.
  • A budget you setSpend is a ceiling per department, with breakers that pause a worker that starts failing.
Billing Opsrun 47
  • matched invoice to PO 0.4s
  • verified goods receipt 0.6s
  • posted to the ledger 1.1s
HELDcreate_charge$12,400

Payments over $500 need a person. Nothing moves until someone decides.

every step logged · policy v14 · 09:41
The audit trail: every policy evaluation across every worker, allowed, denied, alerted or held
The audit trail · real screen
300+business systems it connects to, from HRIS and ATS to accounting and support desks
10departments with a working desk designed for them
50+single workers you can clone and put to work today
15 minfrom a blank workspace to a department that runs, verified by a smoke test

Counts come from the live catalog at build time. Every blueprint is readable before you sign in, and pricing is on the site, not on a call.

How you start

Describe the work, or pick it off the shelf.

Under the hood

One platform under every desk.

Every department above is a configuration of the same engine: three kinds of worker, shared tables and knowledge, one tool catalog, any model with your own keys, and a policy engine in the execution path. Configure as deep as you need; the defaults are safe either way.

  • Three kinds of workerSingle-purpose agents on triggers, teams you talk to, AI employees that own a role.
  • Your data, your documentsTyped tables with AI columns and cell provenance; knowledge bases that cite their sources.
  • Any model, your keysAzure OpenAI, OpenAI, Anthropic, Google and more, chosen per worker, metered per run.
  • Governance in the pathPolicies, approvals, budgets and an audit trail that every worker passes through.
Start with the department that hurts

See it run on your systems, this week.

A working desk in about fifteen minutes. Free to start, pricing on the site, every action logged from the first run.