Evidence Centre

Governance you
can verify.

For the day they ask why.

Every governed AI decision — measured, and on the record.

Not trust. Proof.
MEASURED, NOT ASSUMED · EVERY GOVERNED DECISION PRODUCES THIS EVIDENCE RECORD
More than a policy.
You need evidence.

Policies state intent. Evidence shows what happened — the reasoning, the veto, the record.

Measured operational profile · based on 312 governed decisions
Cost per governed decision
Cents, not euros · measured
Audit trail
Hash-chained
SHA-256
Full profile
Under NDA
Governance runtime
16–18%
Reasoning runtime
~75%
Regeneration
~11%
Telemetry
Every stage,
every run
The Mergetic colour language — colour carries meaning
AI reasoning & orchestration Governance & policy Evidence & explainability Verified / approved Human review / regeneration Block / safety intervention
Evidence, not features.

Four baselines. Each a body of measured fact.

01 / BEHAVIOURALCharacterised

How decisions behave.

Stable? And do they hold across models?
Stability. Two independent verdicts under a binding veto — and the reproducibility of every verdict is measured, not assumed.
Portability. Tested across model versions — stable where the models are, variance disclosed where they aren't.
Regeneration. Fires on ~11% of decisions. Bounded and auditable.
02 / OPERATIONALCharacterised

What it costs. How long.

The economics of a governed decision.
Cost. Cents, not euros, per governed decision — measured, environment-relative. Full figures under NDA.
Latency. Structure over seconds — absolute timings are configuration-dependent; shared under NDA.
Runtime. ~75% reasoning; governance under a fifth.
03 / ENGINEERINGCharacterised

Faster, same verdict.

Where speed lives — without changing behaviour.
Headroom. ~⅓ of reasoning time recoverable by running reasoners in parallel. No behaviour change.
Instrumentation. Every stage timed and costed, passively — improvements quantify against this baseline.
04 / RELIABILITYIn development

Does governance predict quality?

The next baseline.
Under study. Whether measurable signals predict decision quality.
Independently coded. Gated on academic inter-rater validation.
Reported when validated, not before. Published as a commitment, not a claim.
The central finding
Composure, under scrutiny.

When a regulator, an auditor or the board asks about an AI decision, the answer is already written: the decision itself — measured, governed, recorded, replayable. That is what Mergetic buys the people accountable for AI — the ability to answer, calmly, with evidence. And it travels light: the binding veto adds cents, not euros, and under a fifth of runtime, with every record produced by execution itself. Next on the bench: divergence-based reliability signals — baseline 04, under independent academic validation. Reported when proven, not before.

How deep the evidence goes.

Four layers, one system — each step deeper, each step more gated. The disclosure discipline is itself part of the method.

Measured, not assumed.

Every figure here is captured by permanent telemetry during execution — not estimated after. Every decision record is hash-chained (SHA-256) and replayable: tamper-evident by construction. Most systems present capabilities. Mergetic presents evidence.

Book a walkthrough → Download the Executive Briefing (PDF)
Open the interactive demo → three illustrative governed records · runs in your browser