What agents do
- Capture evidence on every decision automatically
- Apply the same policy version consistently across thousands of cases
- Surface deviations and pattern drift in real time
- Generate audit-ready reports and exports on demand
Use case
Compliance & traceability
Use AI in sensitive workflows with reviewable decisions and a defensible chain of evidence.
Compliance
The reality today
How this case feels without the cognitive layer.
Compliance is asymmetric: you spend months building processes, then a regulator or an auditor asks one question — "why did the system make that decision?" — and you have to reconstruct the answer from logs, emails, screenshots and someone’s memory.
Most operations were never designed to be defended. The decisions get made, the actions happen, and the evidence is scattered across the tools that produced it. When you finally answer the question, you’ve spent three weeks of expensive people on one query.
Worse, the inconsistency is real. The same case handled by two different people on two different weeks produces two different outcomes — and you can’t easily prove otherwise. The defense becomes "we believe it was consistent" instead of "here is the proof."
And the personal cost is real. Compliance officers carry personal liability for decisions they didn’t make and can’t fully reconstruct. The job becomes anxiety-by-design: knowing the auditor will ask, knowing you’ll have to scramble, knowing the answer might be uncomfortable.
Suppliers and partners feel it too. When you can’t prove your own compliance shape, you can’t reasonably ask theirs. The friction propagates through the supply chain in the form of long questionnaires, incomplete answers, and trust built on hope instead of evidence.
What changes
How this case feels with Sommatic.
Sommatic captures the evidence chain by default, on every decision. Actor, context, rule applied, outcome — all four, automatically, for every workflow run and every agent action. The audit trail isn’t something you assemble after the fact; it’s what the system produces continuously.
When the regulator asks a question, you query. Not three weeks — three seconds. And you can prove consistency by showing the same policy was applied to thousands of cases over months, with the same outcome shape every time.
Consistency stops being a hope and starts being a fact you can demonstrate. The same policy applied to ten thousand cases over a year produces ten thousand outcomes you can show — not a sample, the full set. The conversation with auditors changes from "trust us" to "here is the data."
Pattern drift becomes visible early. When an agent starts deviating from the policy, you see it on the next run, not in the audit six months from now. Compliance becomes operational and forward-looking, not retrospective and reactive.
And the personal cost shifts. The compliance officer stops being the person who reconstructs after the fact; they become the person who sets the policy that the system enforces. The anxiety lowers because the answer is always one query away — and the answer is the same one the auditor will get.
The flow
What feeds in. What it produces. The layer that connects.
What feeds in
- Documents
- Databases
Sommatic Organizational cognitive layer
- Decision
- Evidence chain
- Audit report
Step by step
A regulator asks about one decision from 18 months ago
- Day 1 · 09:12Human
Regulator asks: "Why was this access grant approved in March 2024?"
- Day 1 · 09:14System
Omnisearch query: requesting party + "access grant" + date range. Returns the matching decision in seconds.
- Day 1 · 09:14Agent
Decision chain shown: requesting party, role at that time, the access policy version applied, the approver, the justification recorded, the change made.
- Day 1 · 09:30Human
Compliance officer exports the chain with one click and sends it to the regulator.
- Day 2 · 11:00Human
Follow-up: "Show consistency across all similar approvals." One filter on the same query — 847 similar cases, all matching the same policy outcome. Sent.
Split
What agents automate — and what stays in human review.
What stays with humans
- Review patterns the agents surface and tune the policies
- Answer regulator queries with the chain already assembled
- Approve exceptions explicitly, with reason recorded
What changes
What your operation gains with this case.
Every decision has its receipt
Actor, context, rule applied, outcome — captured for every action, automatically. Auditor questions get one-query answers.
Consistency you can prove
Show that the same policy was applied to thousands of cases, with the same outcome, over months. Not a sample — every case.
Compliance without headcount creep
Regulatory load grows; your compliance team doesn’t have to. The cognitive layer carries the traceability so people focus on judgment.
The evidence that stays
Every decision leaves an auditable trace: actor, context, rule applied and outcome. Reviewable by humans, replayable by engineers.