Evidence receipt
PRODUCTION EVIDENCE- Scope
- Published case study for one manufacturing engagement.
- Limitations
- The engagement demonstrates delivered architecture and a 90-day foundation. It does not predict results for another workflow.
Concepts / How an AI employee carries work
AI EMPLOYEE ARCHITECTURE
Turn one waiting workflow into supervised, reviewable work.
Start with the delayed deliverable. The AI employee prepares the work, a named person keeps the consequential decision, and the result returns with its evidence and next owner.
ONE WORKFLOW · FOUR RESPONSIBILITIES
See the ownership boundary first.
The technical components matter after the team agrees who owns the result, which decision stays human, and what evidence must remain.
- 01
Work arrives
A request, file, event, or schedule becomes a tracked responsibility with an owner and due state.
- 02
The AI prepares
Current source material and the approved procedure are assembled before the system drafts or acts.
- 03
A person decides or stops
A named owner keeps authority over pricing, risk, exceptions, and external commitments.
- 04
The result stays reviewable
The output returns with its sources, approvals, status, and next owner attached.
Review what each stage should expose
- 01 · Work arrives
- Request, source, due date, owner
- 02 · The AI prepares
- Sources, procedure, open questions
- 03 · A person decides or stops
- Decision, approver, exception
- 04 · The result stays reviewable
- Result, evidence, approval, next step
PRODUCTION EVIDENCE
Inspect what is working today.
These are current engagements. The mapper labels patterns without matching production evidence as illustrative.
PRODUCTION ENGAGEMENT · MANUFACTURING
Infinite AI OS: an AI operating system in 90 days
Four named AI employees working in Microsoft Teams on a six-layer system: company memory, knowledge map, file intake, employee profiles, tool connectors, and observability.
4 AI employees live · 90 days to foundationVIEW PRODUCTION EVIDENCE >PRODUCTION ENGAGEMENT · HEALTHCARE ENTERPRISE
AgentHub: contracts you can question
A shared prompt library paired with a contract-review agent that uses hybrid retrieval with field-level citations.
Field-level citations · 50-document grounded corpusVIEW PRODUCTION EVIDENCE >Evidence receipt
PRODUCTION EVIDENCE- Scope
- Published case study for one healthcare enterprise engagement.
- Limitations
- The case documents a 50-document grounded corpus. It does not predict accuracy or results for a different corpus.
90-SECOND WORKFLOW MAPPER
Find the work waiting on a busy person.
Four category choices produce a first ownership path. No email is required, and the direct booking option remains available at every stage.
90-SECOND WORKFLOW MAPPER1 / 4
No email required. These category choices stay in this browser unless you carry the brief into the contact form.
WHEN TO STOP
Some workflows are not ready to deploy.
A useful assessment can recommend ownership or knowledge work before it recommends an AI employee.
No one owns the final decision
Name the person who can approve, change, or stop the result before automating the preparation around that decision.
The source material cannot be trusted
Fix ownership, currency, and retrieval of the governing records before asking an AI employee to use them.
There is no review boundary
Consequential actions need a defined human decision, escalation path, and work record before production use.
OPTIONAL TECHNICAL DEPTH
Need the components, controls, and improvement loop?
Open the full three-view reference, illustrative workflows, and supporting architecture articles.
Bring one delayed deliverable. Leave with an ownership map.
A 30-minute working session identifies the source material, preparation work, human decision, and evidence the workflow requires.