Decision context
The claim is intended to support a three-year procurement decision, so a polished forecast is not enough.
Great answers aren't enough. Trust requires proof.
SyncLogic audits AI outputs so you know how a conclusion was reached, what supports it, where it can fail, and what it's safe to be used for.
Transform any AI output into an audited, evidence-based result with a clear level of reliance and a defined permitted use.
Looks beyond the answer to the reasoning behind it
Traces every claim to sources, data or assumptions
Tests alternatives, contradictions and edge cases
Finds the weakest link that limits reliability
Assigns a Reliance Class (RC 0–7) and states what it's safe for
Issues a Permission-to-Rely verdict for the intended use
The same disciplined method, applied to this claim type: define, decompose, register evidence, test admissibility, explore alternatives, find the weakest link, assign reliance, and issue a verdict.
Clarify the exact question, audience and intended use. Lock the scope to prevent drift.
What exactly is the output being asked to do?Break the output into explicit claims, sub-claims, assumptions and inferences.
What must be true for this output to hold?Identify and register all sources, data, examples and references used or implied.
What evidence supports each claim?Evaluate each source for relevance, authority, timeliness, transparency, methodology, jurisdiction and limitations.
Is each source fit for this claim and purpose?Identify credible alternative explanations and contradicting evidence. Test what would change the conclusion.
What else could explain this? What contradicts?Check causal or logical links. Flag hidden assumptions, generalizations and unstated premises.
Which links or assumptions are most fragile?Locate the claim, assumption or data gap that most limits the reliability of the entire output.
Where could this output break first?Rate overall reliability based on evidence strength, uncertainty, dependency depth and sensitivity.
How much reliance is justified?State what the output can be used for—and at what level (explore, inform, decide, act).
What is this safe to be used for, right now?Produce a transparent audit record others can inspect, challenge and reproduce.
Can others see, test and reproduce this audit?SyncLogic tests the reasoning, not just the tone.
Every source is checked for existence and admissibility.
Scope Lock and decomposition keep conclusions in bounds.
Fork First forces consideration of real alternatives.
We quantify uncertainty and identify the weakest link.
Reliance Class + Permission-to-Rely define safe use.
Transparent records make the output inspectable and repeatable.
AI can generate answers in seconds. SyncLogic delivers assurance in depth. We turn fluent text into trustworthy, auditable, decision-grade results.
This is an illustrative method example, not a completed client audit or an independently validated finding.
The claim is intended to support a three-year procurement decision, so a polished forecast is not enough.
Separate the statement into adoption feasibility, cost baseline, expected saving, implementation period, service quality and supplier capability claims.
Register the supplier model, internal cost data, pilot evidence, integration assumptions and any independent benchmarks.
Compare a limited pilot, process redesign, another supplier and no-change scenario using the same criteria.
The forecast depends on an untested assumption that automation rates from another organisation will transfer to this organisation.
Suitable for a controlled pilot proposal; not yet suitable for organisation-wide procurement or a guaranteed savings claim.