AI Project Manager“Scout”
Keeps engagements honest in Jira and Monday, chases blockers to a named owner, and reports status to the team on Teams the moment something slips.
Jira · Monday · Teams
An AI workforce you can govern
Hire one AI role. Watch it work. Then decide.
Put a WorkReef AI Solutions Engineer or Project Manager on a real team. It works in your own Jira, GitHub, and Teams, under its own identity, and earns its way from shadow to live. You hire one, prove it, and grow a workforce you can actually account for.
Under the hood, each role is a governed agent: its own identity in your directory, its own audit trail, a spend cap, and one switch to revoke it.
Working today, not a demo
Two roles are already on the job.
At our first customer, a medical-device software company, two AI roles work a live client engagement alongside the human team, on the same tools, every day.
AI Solutions Engineer“Atlas”
Picks up assigned work, asks a teammate the sharp question before it guesses, checks out the code, opens a pull request, and moves the ticket.
GitHub · Jira · Teams
From one role to a workforce
Start with one. Grow something you can run.
Most AI never gets past the pilot because nobody can answer for it at scale. WorkReef is built the other way around: prove one role, then manage the many as an actual workforce.
01
Hire one
Put one role on one team. It runs on your own tools under its own identity, and you watch it work for a few weeks before it has any real authority.
02
Prove it
Every role starts in shadow, graded against what the job done well looks like, not against whatever your busiest person managed. It earns the next step, or it does not.
03
Run the workforce
Now you have several, across several teams. WorkReef is the one place that shows what each can touch, what each costs, who approved it, and one switch to revoke any of them.
Watch one run
A morning with Atlas, your AI Solutions Engineer.
One real task, start to finish. Tap a marker on any step to see how it works underneath, and the questions you're already asking get answered as the story unfolds.
- JiraAtlas is assigned PLAT-412: add an idempotency key to the sync writer.
- TeamsIt messages Dana: “Should the key be per-credential or per-capability? I don't want to guess.”
- GitHubAtlas checks out the code, writes the change with tests, and pushes a branch.
- PR #287It opens a pull request and waits for human review. Atlas does not merge.
- JiraIt moves PLAT-412 to In Review and leaves a comment with its reasoning.
Five steps, one teammate, on your tools, under your identity. The whole run is on the audit trail. See it on your own stack
Why it has to be neutral
Nobody runs one vendor. So no one vendor can govern your AI.
Your identity is Okta and Entra. Your work lives in Salesforce, GitHub, Jira, and Teams. Your models are Claude, GPT, and Gemini, depending on which team you ask. Every one of those vendors will happily govern its own corner. None of them will govern the others, and none of them will run a competitor's model as an equal voice.
WorkReef sits across all of it. It runs agents on the identities you already issue, works in the tools your teams already use, and stays neutral about whose model is best. That is the one thing an Okta, a Microsoft, or a Salesforce is structurally unable to sell you.
See where WorkReef fits your stackStart by seeing what's already there
Most companies can't say how much AI they're already running.
Before you hire a new role, WorkReef connects to your stack and shows you the AI you already have. It reads the org the way it actually runs, and it surfaces the agents and the spend nobody was tracking.
The shadow AI becomes a line item
The Anthropic and OpenAI admin connectors turn every API key into an agent on the org chart and every console user into a person, with usage and daily spend attached. The custom GPT nobody owns stops being a surprise.
The org as it runs, not the 2023 chart
People, work, customers, and cost resolve from Microsoft 365, Salesforce, Jira, GitHub, Monday, and the rest into one picture, with a loaded cost sitting on every seat so the ROI math is real.
It reads behavior, not your inbox
Email, calendar, and Teams pass through a panel that writes structured behavior and nothing else. Message bodies, subjects, and recipient lists never reach the database, and an admin can switch any channel off.
Built for the security review
The part your CISO pulls apart, layer by layer.
Agents run on the identity you already issue. WorkReef adds the decision, the proof, and the audit on top. We don't publish the full posture, but we'll walk your security team through it on a call and share the brief under NDA.
Request the security brief- 01
Runs on your identity provider
Each role is a real user in your Okta or Entra, acting as itself, with least-privilege access you control.
- 02
A database per customer
Each tenant's data sits in its own database. There is no code path that reaches across them.
- 03
You pick where inference runs
Set the model provider per customer; the allowlist is enforced on the server, not the client. No lock-in.
- 04
An audit you can't quietly edit
Every action is hash-linked to the one before it, exportable and verifiable on your own hardware.
Hire one role. See for yourself.
We're in private beta with a handful of design partners. If you own the AI program, or you're the one who has to sign off on it, let's get one role on your team.