Start with the work
Understand the decisions, relationships, constraints, and routines before proposing an intervention.
About Decipher
Turn ambiguity into practical action.
Decipher was formed around a simple observation: the hardest part of AI adoption is rarely access to the technology. It is preparing an organization to use it well.
Our purpose
Help organizations absorb a powerful technology thoughtfully.
AI changes more than task execution. It changes what people need to understand, where judgment belongs, how work moves, what leaders reinforce, and which practices earn trust.
Decipher helps make those changes visible and workable. We connect technical capability to human execution through facilitation, learning, workflow design, organizational change, and practical experimentation.
Operating philosophy
Clarity is a method.
Useful adoption emerges when people can connect a new capability to their real work, exercise judgment, and learn within clear boundaries.
Make complexity usable
Translate technical possibility into language and practices that leaders and teams can act on.
Practice before scale
Use bounded experimentation and reflection to learn what fits before making adoption repeatable.
Treat trust as operational
Build clarity around judgment, accountability, governance, and the conditions for responsible use.
The founders
Complementary by design.
Rachael Wilson — CEO & Co-founder
Operations, relationships & execution
Adrien Broussard — Co-founder
Education, facilitation & strategy
Work with Decipher
Thoughtful support for the organizational side of AI.
If your challenge sits between technical possibility and human execution, we would welcome a conversation.
Start a conversation