TIATON
Now in early access

Rules. Processes. AI.
Predictable. Versioned. Reversible.

Stop guessing what your agent will do. Declare goals — TIATON orchestrates execution, parallelizes, rolls back on failure. Rules in tables, not code. AI under rule control. Everything versioned and traced.

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How it's different

Rules

Typically

Change request → dev ticket → code → review → deploy → pray.

With TIATON

Edit table → run tests → deploy. Rollback in seconds.
~10 min vs ~3 weeks
Processes

Typically

Rigid flowchart. Add step = redesign. Step 4 fails = steps 1–3 stuck.

With TIATON

Declare goals. Auto-parallel. Auto-rollback. Async built in.
Auto-orchestrated
AI

Typically

Pilot works in demo. 20% errors block production. Can't explain to regulator.

With TIATON

AI extracts, scores, classifies. Rules control outcome. Every decision explained.
AI + determinism

See it in action

From design to decision

Every step governed, every step traced.

1 / 6

Click any step. See exactly why.

Every decision traces back to a specific, versioned business rule. Not a probability score. Not an LLM guess. An auditor opens the session, clicks the node, reads the reasoning chain — done.

Decision trace — loan_eligibility rule 5 matched, decision: manual_review

2 / 6

Rules your analysts write. Not your engineers.

Decision tables with conditions, outcomes, and human-readable explanations. Your compliance team reviews them directly. Change a threshold — no deploy, no code, no downtime.

Decision table with 9 rules — conditions, outcomes, and human-readable notes

3 / 6

What happens if the input changes? Press Evaluate.

A built-in playground for your business rules. Test any scenario, see which rule fires and which don’t — with full explanation. Validate logic before it reaches production.

Playground — test scenario showing matched rule 5 and skipped rules

4 / 6

Every dependency. Every rollback plan. Before the first request.

Each skill declares what it requires, what it guarantees, and how it recovers on failure. The execution graph shows the complete picture — no hidden logic, no production surprises.

Execution graph with skill dependencies and compensator contracts

Two layers of governance

Business rules decide what outcome to produce. Policies enforce whether that action is allowed at all — compliance boundaries, rate limits, jurisdictional rules.

5 / 6

Real-time status. From first tick to final decision.

Track every session across phases. See what’s done, what’s running, what’s waiting for an external event. The agent preserves full state between phases — resume instantly when the answer arrives.

Session with phases — request_approval submitted, waiting 42.8 hours

6 / 6

When things fail — the system cleans up. Automatically.

Errors trigger compensation procedures. Every affected step rolls back in the correct order. Data never stays in an invalid state. Complete audit trail of what failed, why, and what was reversed.

Error recovery — FAILURE triggers automatic compensation cascade

Use cases

Is this for you?

Your rules live in chaos

Rules scattered across code, Excel, and tribal knowledge. Every change takes days. No way to test before deploy.

Decision Engine + Observability

You've outgrown your tool

Enterprise BPM is too heavy. Custom engine is legacy. Business can't own the rules.

Decision Engine + Orchestration

You want AI — with guarantees

LLM pilot hit 80%. The other 20% blocked production. You need AI in the process, rules on the outcome.

Full stack: rules + AI + observability

Failures cascade. Nothing rolls back.

Step 4 fails, steps 1–3 don't undo. External systems stall everything. No visibility into state.

Orchestration + Observability

Ready to take control?

We're shaping TIATON with a small group of companies. Get a sandbox, direct support, and influence on the roadmap.

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