FACTSOps is a discipline for structured human-AI collaboration. Every action captured through a form. Every decision auditable by design. Every actor — human or AI — works in the same system.
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The Five Beliefs
AI agents need bounded action spaces, not open-ended freedom. Every decision point is a structured form, not a blank canvas.
Workflows are state machines, not task lists. Every step advances from one validated state to the next.
The same activity can be performed by a human, an AI agent, or both — dispatched polymorphically without changing the process.
Structured data interfaces prevent hallucination and drift. Typed fields with validation replace free-text guessing.
Every action — human or AI — is logged with actor, timestamp, form data, and reasoning. Audit trails are the product, not an afterthought.
That is, while there is value in the items on the right, we value the items on the left more.
Non-negotiable
Every state change requires structured data capture. No free-text mutations. No silent state changes. The form is the only mechanism for advancing state.
Every action is logged with full context — who acted, what they submitted, what state changed, and why. For AI actors: model, confidence score, reasoning chain, and source references.
AI must be able to route to a human when confidence is low. Confidence gating is built into the execution model, not bolted on as an approval step.
The competitive question
Every platform claims AI and humans work "side by side." Three questions separate a real teammate from an assistant wearing a name badge.
Does your AI fill the exact same form your team does — same fields, same validation, same data structure?
Does the same state transition fire regardless of who fills it — human or AI? Or are there two separate systems?
Is there one audit trail for both actors — or two different logging systems wearing a trench coat?
The vocabulary
Where an entity is in its lifecycle. The single source of truth for current reality.
A bounded action that advances state. Performed by a human, AI, or both.
The structured data interface through which every activity is executed and captured.
A transition rule. From state A, activity X leads to state B. Deterministic, auditable.
When AI confidence falls below threshold, the transition is suppressed and flagged for human review.
Every event recorded: actor, timestamp, form data, state change, AI reasoning. Fully reconstructible.
Open & portable
A complete FACTS module — fields, states, activities, flows — expressed as a single declarative definition. MIT-licensed. No vendor lock-in.
// A complete process definition { "name": "Leave Requests", "information": [ { "name": "Leave Type", "type": "Selection", "options": ["Annual", "Sick", "Unpaid"] }, { "name": "Start Date", "type": "Date" }, { "name": "Days", "type": "Number" } ], "states": [ { "name": "Draft", "initial": true }, { "name": "Pending" }, { "name": "Approved" }, { "name": "Rejected" } ], "activities": [ { "name": "Submit", "fields": [{ "name": "Remarks" }] }, { "name": "Approve", "fields": [{ "name": "Remarks", "required": true }] }, { "name": "Reject", "fields": [{ "name": "Remarks", "required": true }] } ], "flows": [ { "from": "Draft", "to": "Pending", "activity": "Submit" }, { "from": "Pending", "to": "Approved", "activity": "Approve" }, { "from": "Pending", "to": "Rejected", "activity": "Reject" } ] }
Same product, different entry points
From a sole proprietor to a regulated enterprise. Same architecture. Same moat. Different starting point.
ProcessCanvas generates process schemas for any AI agent, any platform, any compliance framework. Actor parity at design, execution, and audit layers.
"Jira tracks who did the work. FACTSOps proves how the work was done."
Your team and AI work in it together — same forms, same tracking, same accountability. Start free. No code. No admin. Works today.
"I hired my first AI employee. It cost $0 and took 2 minutes."
#AITeamMates — Where your team and AI work as one.