⚡ Breaking - Why AI Pilots Fail and How Banks Can Fix It

📰 BREAKING

Three major Australian banks just shelved AI pilots worth $47M combined after 18-month runs. The pattern is identical across all three: passed proof-of-concept, cleared budget approvals, then stalled at production gates.

The failure point? None had designed for APRA CPS 230 accountability mapping at architecture level. When operational risk teams asked "who owns this decision when the model drifts?" and "how do we audit agent-to-agent handoffs?", the answer was "we'll figure that out in production."

At QikAI, we see this weekly. Banks build pilots in governance vacuums, then discover their architecture can't support the accountability frameworks regulators actually enforce. The fix isn't adding compliance later—it's building with CPS 230, CDR and Privacy Act requirements baked into your agent orchestration layer from day one.

Production readiness in regulated industries means your Chief Risk Officer can answer an APRA inquiry without calling the vendor. Most pilots never get there.

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