Platform · AI Coworkers
What an AI coworker is
An AI coworker is not a chat window your team visits. It is a defined role that does a defined piece of regulated work, under rules you set, with a person accountable for it.
What a coworker is
Five things every coworker has
The coworker does the work. The human keeps the decision.
Job description
What the role is for, what it must do, and what it must decline to do.
Measures
What success means for this role, agreed before it starts.
Guardrails
The policies the role cannot cross, enforced by the platform.
Memory
Persistent, governed context, with retention bounded by policy.
Human supervisor
The named person who reviews the work, owns the judgment, and signs.
The work arrives with the proof
A fully evidenced first pass
Every claim is cited to its source and every step is recorded. Your reviewer checks the work instead of redoing it, then signs. When a coworker cannot ground a claim in the approved sources, it says so instead of guessing.
Cowork
Your teams
Select a team to see its coworkers and delegated work.
12
Active teams
Third-Party Risk Team
Governed team
Vendor onboarding, compliance review, and approval coordination
Audit Team
Governed team
Assurance, controls, and evidence review
Regulatory Change Team
Governed team
Regulatory monitoring and impact assessment
Contract Review Team
Governed team
Clause review, deviation analysis, and escalation
All teams
Vendor onboarding, compliance review, and approval coordination
Four specialists · one coordinated job
Reviews privacy and contractual material for data-protection and legal risks.
Consolidates intake, privacy, legal, and security findings into a traceable recommendation.
Assesses the vendor’s security posture, controls, and operational reliability.
Collects the business, operational, and processing facts required for review.
Human supervision
Every coworker reports to someone
A named person reviews the work, owns the judgment, and signs. Coworkers can brief one another across a process, but none reports to no one.
Governed context
Memory does not govern itself
What a coworker keeps long term is not its own decision. Proposed memory goes to an administrator for approval, retention is bounded by policy, and the memory policy is documented for review.
Privacy & Legal Reviewer
GDPR, DPA, and vendor legal risk review · Published
We set it up with you
Built against a workflow you choose
A coworker is tuned to your methodology, your sources, and your sign-off chain during onboarding. That configuration work is part of the engagement: we build the first coworker with you, against a workflow you choose and measures you agree.
The unit that gets priced
A coworker for a role, not a software seat
You bring on a coworker for a role, the way you would add a team member, and its cost is weighed against the work that role completes. Start with one, prove the value, then expand role by role.
Defined workGoverned operationHuman decisionNext step
Start with one workflow
Bring the work, the approved sources, and the people who must stand behind the answer.
Or contact sales@cogniveil.ai