A client asks which source really supports a recommendation. A partner wants to know whether an analyst inspected the AI-prioritised claims or simply accepted them. A new team starts a similar engagement six months later and rebuilds the same evidence base from scratch.
Your method remains the method. Epistamate provides a governed workspace around it so evidence, review decisions, contradictions and gaps underneath the deliverable stay inspectable and reusable.
A reference list is not enough. The relevant question is whether the cited material supports the exact proposition, under the conditions in which the recommendation was made.
Ten articles can still trace back to one underlying study. Epistamate's target is provenance-aware corroboration, not counting URLs or model agreement.
AI can prioritise attention. A reviewer should still be able to distinguish a model suggestion from a human inspection, disposition and authorisation.
Institutional knowledge should carry provenance, review history, applicability and recency — not merely old slides retrieved into another model context.
Consequential assertions remain addressable below the report level, with source identity, evidence posture, qualifications, contradictions and gaps available for inspection.
AI triage and challenge can compress the workload, but explicit researcher actions are recorded separately. A senior reviewer can see what the system proposed and what the analyst actually reviewed.
Gaps and contradictions survive synthesis rather than being rewritten into smooth prose. That gives the engagement team a defensible boundary around what the current evidence does and does not warrant.
The target Knowledge layer carries prior evidence and review state forward, then checks applicability, recency and contradiction before reuse. The next engagement should start informed without inheriting yesterday's conclusion as automatic truth.
Evidence landscapes where secondary sources, vendor claims and primary research have to be distinguished rather than flattened into one narrative.
Claims about market, regulatory or operational risk that may need to be reconstructed months after the deal file closes.
Work where authority class, jurisdiction, applicability and effective date matter as much as topical relevance.
Teams that repeatedly research adjacent questions and want prior validated evidence to become a governed asset rather than an archive.
We are looking for evidence-intensive professional workflows to test the product against.
Explore the advisory method →