AI coworker
What is an AI coworker?
An AI coworker works in your company’s systems: it connects your tools, builds shared memory and does multi-step work on its own computer.
The landscape
AI coworker vs. chatbot vs. copilot vs. agent
Tell them apart by how much of your company they see, and whether you get finished work.
| Category | Scope | Context | What you get |
|---|---|---|---|
| AI chatbot | Answers questions from training data and the internet | Low on company’s context | Text you copy-paste somewhere else |
| AI copilot | Accelerates you inside one app | Context of that single app | Suggestions you accept or reject |
| AI agent | Executes one defined task or workflow | The context you wire into that workflow | Usually single-purpose, tuned to the task |
| AI coworker | Works across teams, tools, and recurring jobs | Shared, compounding company-wide context | Finished work: reports, PRs, apps, updates, actions |
How it works
Four things an AI coworker needs
01
Connected to your systems
Reads and writes the CRM, warehouse, code, docs and billing your team uses.
02
A company brain that compounds
Every task adds to shared, visible knowledge that makes every team faster.
03
Its own computer
A sandboxed computer to run code, query data and build apps, with a full trace.
04
Working where your team works
Lives in Slack and on the web, runs on a schedule and reacts to triggers.
Evaluation
How to choose an AI coworker
Seven questions that separate an AI coworker from a chatbot wearing the label.
Is it built for employees?Many "AI agents" only serve customers; a coworker works for your employees.
Does it work across teams?It should help finance and ops as much as engineering, so context pays off.
Can it run code itself?If it only drafts text when the work needs SQL or a PR, it’s an assistant.
Is memory shared and visible?Look for org knowledge you can inspect, edit and version, not per-user memory.
Can it act unprompted?Check that reports, monitors and triggers are on by default, not admin-gated.
Does it show its work?Answers should show what was queried, what code ran and where numbers came from.
Is the pricing public?If you can’t see a price without sales, budgeting a rollout is guesswork.
The market
How the leading AI coworkers compare
Checked against public docs and pricing, July 2026; more in our comparison pages.
| Capability | Adapt | Glean | Lindy | Viktor | Sierra |
|---|---|---|---|---|---|
| Internal, employee-facing coworker | Shipped and generally availableBuilt for internal teams | Shipped and generally availableInternal search + agents | Shipped and generally availableInternal assistants | Shipped and generally availableInternal, Slack-based | Not offeredCustomer-facing CX agents only |
| Its own computer (code, files, apps) | Shipped and generally availableFull sandbox: code, SQL, apps, PRs | Partial or gatedAgent actions; no general compute environment | Partial or gatedWorkflow actions per agent | Shipped and generally availableCloud sandbox | Not offeredNot applicable |
| Company-level shared memory | Shipped and generally availableOrg knowledge + skills, visible and editable | Partial or gatedMemory is per-user; extracted memories expire in 30 days | Partial or gatedMemory is per-agent | Partial or gatedWorkspace-level; access controls on roadmap | Not offeredNot applicable |
| Slack-native plus a full web app | Shipped and generally availableTag @Adapt in Slack, or use app.adapt.com | Partial or gatedWeb-first, Slack via integration | Partial or gatedWeb-first, Slack via integration | Partial or gatedSlack only; no standalone web app | Not offeredNot applicable |
| Proactive scheduled tasks + triggers | Shipped and generally availableNatural-language schedules, event triggers | Partial or gatedScheduled agents off by default, admin-gated | Shipped and generally availableTrigger-based automations | Shipped and generally availableRecurring tasks + heartbeat | Not offeredNot applicable |
| Transparent public pricing | Shipped and generally availablePublished, free to start | Not offeredNo public pricing page | Partial or gatedPer-seat tiers public; usage allowances vague | Shipped and generally availablePublic credit tiers | Not offeredEnterprise contracts, outcome-based |
Full check = shipped and generally available. Dash = partial or gated. X = not offered. We re-verify this table monthly.
Use cases
What teams hand their AI coworker first
Pipeline and revenue reporting
Reconciles CRM deals with billing and posts Monday’s pipeline review to Slack.HubSpot · Stripe · Slack
Ad hoc data analysis
Answers "why did activation dip?" from the warehouse, showing its work.BigQuery · PostHog · Sheets
Engineering support
Triages and reproduces bugs, files tickets and opens draft PRs for review.GitHub · Linear · Sentry
Competitive and market monitoring
Tracks competitor releases and pricing, and sends a weekly digest with sources.Web · Ahrefs · Slack
Proactive alerts and monitors
Watches pipeline, spend and error rates, and speaks up when something changes.Scheduled tasks · Event triggers
Customer and account intelligence
Preps call briefs, follows up after meetings and keeps account records current.HubSpot · Grain · Gmail
Questions
An AI coworker is an AI teammate that connects to your company’s systems and does real work, not just answers. It runs code on its own computer, builds shared company memory and works in Slack and on the web.
An AI assistant helps one person draft, summarize and suggest, with memory private to them. An AI coworker works for the whole company, building shared context and finishing multi-step work end to end.
An AI agent usually runs one defined task or workflow. An AI coworker is the layer above: a persistent teammate that runs many agents, carries company context between tasks and handles recurring work.
No. It takes on repetitive cross-system work like reports, reconciliations and triage, so people spend their time on judgment, relationships and building.
Through scoped, revocable integrations using the same OAuth and API-key permissions as any SaaS tool. Look for SOC 2 compliance, sandboxed execution, per-integration permissions and full traces of every action.
Pricing varies: per seat, usage-based credits, or no public pricing at all. Adapt publishes its pricing: free to start, then a per-user plan with itemized usage and no seat minimums.
Minutes, not months: connecting integrations means clicking through OAuth, and context builds from the first task. Start with one workflow and expand when ready, with no data migration or model training.
It depends: Glean is strong at enterprise search, Lindy at per-user automations and Sierra at customer-facing support. For one coworker for the whole company, with shared memory and its own computer in Slack and on the web, it’s Adapt.