Evidence
Every claim on this site links to where it came from.
No adjectives stand in for proof. Here are the artifacts you can open yourself.
Open any of these
Hadith benchmark · κ = 0.87
The weakest-link rule run against 575,060 scholar-graded chains. κ = 0.8714 (3-way; 1 = perfect, 0 = chance) — agreement with a rule-based convention (Ibn Hajar's 12 tiers), not ground truth. 5-way 0.8667, lenient 0.761, narrator-grade κ = 0.33, shuffled control ≈ 0 (-0.0066). 577,024 is the raw corpus of sanads — the benchmark N is 575,060.
Results in the repo →RAGTruth transfer · κ = 0.4345
1,800 responses from 6 models: 96.0% hallucination recall at 60.4% precision (recall ≠ precision), 70.3% accuracy against a 55.8% baseline. 96.8% parsed; the 3.2% that did not parse are scored fail-closed, not excluded.
Read case #0 →What evidence actually means
AI system inventory — every model, agent, and pipeline in use, versioned and located.
Risk classification — which systems are high-risk, under which framework, and why.
Decision and event logging — what the system did, when, and on what input.
Provenance and lineage — where each claim came from, through whom, and whether the chain holds.
Human-oversight evidence — who reviewed what, and the trail that proves it.
Technical documentation pack — the artifacts an auditor can actually open.
Deadlines are already set
Annex III high-risk obligations 2 December 2027; Annex I 2 August 2028 (moved by the Digital Omnibus, in force 27 July 2026).
Art. 50 transparency duties for deployers have applied since 2 August 2026.
Art. 12: record-keeping / logging capability · Art. 19: logs kept at least six months · Art. 18: documentation kept 10 years.
SDAIA published its AI Adoption Framework 12 September 2024 to encourage government entities, and a National AI Risk Management Framework on 14 July 2026.
UAE Central Bank: Guidance Note on the Consumer Protection and Responsible Adoption and Use of Artificial Intelligence and Machine Learning by Licensed Financial Institutions in the U.A.E. (issued 11 February 2026).
The delay is not relief. Evidence architecture takes months to build, and the technical standards are still being drafted. That gap is the work.
Open source, already running
ISNAD
What happened, through whom, and which link was weakest. Listed in LangChain's middleware integrations.
ISNAD →The way in
Free 30-minute call
For qualified teams.
We check the four-question filter and look at your pipeline. No deck, no pressure.
Book the call →Provenance Assessment
two weeks · one pipeline · $5,000 (first 2) · €7,500 after
A technical readiness review with a written report, signed evidence, and a coverage map.
See the process →Annual licence & ongoing
For teams that want it to keep running.
ISNAD in your pipeline, the evidence kept current, and me on call for the hard questions.
Let's talk →A technical readiness review — not an Article 43 conformity assessment and not a notified body.
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