The Faithfulness Gap: The Hidden Tax on Your AI ROI
The faithfulness gap is the hidden tax on your AI ROI. Scott Hebner’s recent post on the 74% faithfulness gap surfacing in Carnegie Mellon University research is a wake-up call for the enterprise: when an AI agent explains its decision, it is effectively hallucinating that rationale three out of four times. It reaches a conclusion first, then backfills a logical-sounding story to justify it. In the boardroom, that’s a liability. In the audit room, it’s a disaster.
At Bastion One, we don’t believe in post-hoc stories. We believe in ground-truth lineage. Our control plane goes beyond simple observability to solve this governance trap head-on.
Closing the gap
- In-flight correction. We don’t wait for the agent to finish its story. The system operates in-band, watching the Directed Acyclic Graph (DAG) stream to intercept and quarantine agents mid-stream the instant an anomaly is detected.
- Overcoming evidence resistance. CMU found that large models often ignore new data (RAG) in favor of internal weights. Our active fence acts as a deterministic “hard stop,” preventing the agent from committing a transaction to the system of record (SOR) if it deviates from the evidence.
- 100% monetization of agentic work. As Craig Cook (formerly of Google/SAP) noted, the big software vendors lack a meter for agent work. By counting Lineage Tags (LTs) and Data Unique Tags (DUTs), we provide the auditability needed for true outcome-based pricing.
The bottom line
If 74% of your AI’s reasoning is fabricated, you don’t have an autonomous worker — you have a high-risk storyteller. It’s time to shift from post-hoc explanations to real-time, in-flight integrity.
Scott Hebner’s original post: on LinkedIn.
