Decision Keep Insights
Behind the black-box
Perspectives on AI governance, automated decision integrity, and the case for an independent forensic witness.
16 of 16 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 - 5 min read
Adding a Forensic Witness to your AI stack: an engineering guide
Most engineering teams adopt AI for its speed, not its paperwork. The model infers, the API responds, the business moves on. Then audit or compliance asks fo…
Engineering - 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 - 4 min read
What legal and compliance teams need to know about AI decision records
Legal and data protection officers are often caught between two demands: regulators want proof that automated decisions are explainable, and data subjects wa…
Policy Updates - 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 - 2 min read
Introducing Decision Keep: the Forensic Witness for Automated Decisions
Most organisations can describe what their AI decided. Very few can prove it. If an auditor, regulator, or your own risk committee asked you tomorrow "what d…
Product Updates - 3 min read
AI decision logging in Australia: meeting APP 1.7–1.9
From 10 December 2026 , Australia's Privacy and Other Legislation Amendment Act 2024 brings automated decision making transparency into the Privacy Act 1988…
Policy Updates - 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