AI Governance + Decision Provenance

You can only automate what you can clearly articulate.

SayFlight builds the decision architecture that governs AI participation in regulated operations without eroding human authority or judgment.

SERVING PART 91 · 91K · 135 · 145 (MRO) · FBO VENDOR-NEUTRAL GOVERNANCE BUILT FROM INSIDE THE OPERATION

01 / THE OPERATOR PROBLEM

AI does not arrive as one big decision.

It arrives through vendor updates, employee accounts, and tools already inside the operation. The exposure starts when the decision path changes without the operator deciding where AI belongs.

ENTRY POINT Records platforms AI search, compliance flags, and predictions arrive in a routine update
ENTRY POINT Planning tools AI chat, weather analysis, and NOTAM flagging enter the workflow
ENTRY POINT Employee accounts Personal AI use shapes operational decision-making

02 / ARCHITECTURE IN, PROVENANCE OUT

Operational Decision Architecture (ODA)

Define how the decision should be made. Capture how it actually was.

Five layers define the decision ahead of time; every live decision leaves its Operational Decision Provenance (ODP) record. Read the full Operational Decision Architecture framework.

The Architecture

Defined once, ahead of time

Signals, triggers, and the context that opened it
Inputs consulted and the constraints in force
Who decided, what AI did, and whether it stayed inside the boundary
Option taken, trade-offs weighed, judgment applied
Who, what, when, why; evidence, outcome, lessons

The Record

Captured every time it happens

Signals, triggers, and the context that opened it
Inputs consulted and the constraints in force
Who decided, what AI did, and whether it stayed inside the boundary
Option taken, trade-offs weighed, judgment applied
Who, what, when, why; evidence, outcome, lessons
Full Decision Provenance Record

every decision record improves the architecture

traceable · reviewable · linked · auditable

03 / WHERE TO START

Three doors in.

Start with the free Survey for a current-state read. Bring in the Sprint when you want the full picture articulated from inside your operation. The architecture engagement follows when you are ready to define the structure itself.

Self-serve diagnostic · Free

AI Readiness Survey

Ten minutes. Shows where AI exposure, authority gaps, and decision-capture risk already exist.

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Workshop engagement

Operational Decision Architecture

Your team builds the architecture with me: who has authority, where AI may participate, what gets captured as decisions are made. They extend it on their own. An optional retainer covers the rest.

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Testimonials

04 / ABOUT

Built from inside the operation.

Toby Benenson is the Founder of SayFlight and creator of Operational Decision Architecture and Operational Decision Provenance. Eighteen years inside aviation operations. COO of two Part 135 operators, holding operational control authority on the Ops Specs of two Part 135 certificates.

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Bring the messy part of the operation.

SayFlight helps clarify what is happening, who has authority, where AI can participate, and what needs to be captured.

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