Before commitment
A proposed ai procurement, public performance claim, model release or new ai policy needs an initial reality check before reliance.
Select service →AI Governance, Model Risk & Evidence Assurance / Decision stages
Evidence-based decision support
A buying stage for every evidence decision
Can vendor AI assertions be traced to evidence that supports the buyer's decision?
Find your moment
A specific business event triggers research, but the size of the engagement follows the decision question. Begin with the shortest defensible review, and expand only when source gaps require it.
Establish identity
Confirm which organisation, asset, product or programme the records actually refer to.
Select service →Test important claims
Challenge the material statement and make adverse or missing evidence explicit.
Select service →Reconstruct sequence
Explain when events happened and what was contemporaneously documented.
Select service →Check dependencies
Trace the counterparties and material related parties within a tight lawful boundary.
Select service →Prepare decision
Provide a source-indexed board, adviser or procurement memo with reliance caveats.
Select service →Repeat at scale
Use a controlled batch programme when the same evidence question recurs.
Select service →Watch what changes
Specify records and a materiality threshold for paid updates after the initial review.
Select service →What changes between stages
- Source coverage is agreed before the first check.
- Each increased scope must answer a new material question, not repeat the original research.
- A source or record may be unavailable: the report names the gap rather than manufacturing certainty.
- Final professional or statutory decisions remain with the client and responsible regulated adviser.