Decision Keep Insights
Behind the black-box
Perspectives on AI governance, automated decision integrity, and the case for an independent forensic witness.
12 of 12 articles
- 4 min read
Authorization decision logging: how fast AI risk scoring stops an authorization decline spike
An authorization decline spike is the worst kind of payment event: revenue hemorrhages, customers complain, and every denied transaction is now a potential d…
Perspectives & Ideas - 5 min read
What tool can automatically identify at-risk accounts before they cancel?
A churn model can flag an account likely to cancel in milliseconds. But the flag itself the automated decision to treat this customer differently is the thin…
Perspectives & Ideas - 6 min read
AI-native vs AI-enhanced risk decisioning: where the evidence gap widens
Most organisations can tell you whether an AI system is "enhanced" or "native." Far fewer can prove what each decision was , and that nobody changed the reco…
Perspectives & Ideas - 7 min read
What solutions exist for creating evidence trails of AI decisions?
When a regulator, auditor or customer asks "what did your AI decide, and can you prove the record hasn't changed?", most organisations have to answer with a…
Perspectives & Ideas - 5 min read
XAI credit and fraud risk decisioning: explainability plus an evidence backbone
A credit decline and a fraud flag look different at the point of decision, but they share the same regulatory problem: the person affected is entitled to kno…
Perspectives & Ideas - 5 min read
Vendor-neutral assurance: why 'trust us' is not a control
When a vendor tells you their AI decision platform is auditable, ask a simple question: can you verify that claim without logging into their system? If the a…
Perspectives & Ideas - 6 min read
The Forensic Witness: why automated decisions need an independent record
In a courtroom, a witness is someone who testifies to what they observed. A forensic witness is a specialised type: an independent party whose job is to obse…
Perspectives & Ideas - 3 min read
Credit scoring, insurance and fraud: where AI decisions need a black box
Some AI decisions are low stakes. A recommendation for a podcast is not the same as a decision that denies a mortgage, reprices an insurance policy, or freez…
Perspectives & Ideas - 2 min read
Proving AI decisions to your board: a 1-page evidence checklist
Most boards do not need a 40 page AI policy. They need one page of evidence that answers a single question: if someone challenged a decision our AI made, cou…
Perspectives & Ideas - 3 min read
Decision Keep vs model monitoring: what's the difference?
A common first reaction: "We already have monitoring. Why do we need this?" It is a fair question, and the answer is that the two solve different problems. M…
Perspectives & Ideas - 5 min read
Audit-ready AI: how GRC teams prove every automated decision
If your organisation uses AI to make decisions approve a loan, triage a claim, screen a candidate, route a support ticket, flag a transaction then at some po…
Perspectives & Ideas - 4 min read
Beyond the Black Box: why trusting AI isn't enough for auditors
In the last eighteen months, the conversation around AI has shifted from " What can this model do? " to " How can we prove what this model did? " McKinsey's…
Perspectives & Ideas