MappingMapping is the Third Ledger.
Money has the books. People have the org chart.
Automation created the third.
WHAT IS IT?
The Authority Blueprint.
A record of every decision your automations are allowed to make.
Together, we set that authority. This matters, when a machine makes a decision, someone has to own it.
It shows where a decision starts, where it ends, where it escalates and where the line between human and machine holds.
The third ledger becomes as standard as accounting.
We build yours and we keep it current. It is the document your team runs for years.
The method
Authority Map sorts the work into four kinds.
Decisions that stay with a person, because they carry judgment or risk a machine has no business holding.
Conditions a system should watch and flag. It monitors. It never acts alone.
Work a system can run start to finish, on its own, inside limits it does not get to set.
Work a system can draft or propose, but never send or act on without a person's approval.
Sort those four before you automate, and the automation holds. Every decision has an owner. Every boundary is drawn. That is why the systems we build run in production and keep running, doing the work they were mapped to do.
Built for regulated industries
Deploy faster, even under a regulator.
If you answer to a regulator, the map clears their bar from the first session, so you put AI to work sooner instead of stalling in review. Banking and financial services to current federal model risk guidance and third-party expectations. Healthcare to HIPAA and the patient-safety and oversight rules that govern clinical AI. Insurance to the NAIC standard your examiner now applies. Public sector and regulated manufacturing in a form the regulator recognizes and the institution can defend. The point is not to pass an audit. It is to move at full speed with the authority already drawn.
Five ways in
Each engagement answers a different question.
Five engagements. Each answers a different question.
Where does AI belong across our whole company?
For founders, CEOs, and boards
What AI is already running inside our company, and who governs it?
For CFOs, CISOs, and compliance officers
How is this one decision made, and who owns it?
For COOs and heads of decision-heavy operations
What is the technical architecture of how this company decides?
For CTOs, CIOs, and security leadership
We are about to deploy AI. How should authority be set before we go live?
For companies on the edge of a major deployment, and PE portfolio companies rolling AI into an operating thesis
Three Layers
One map, three layers.
Every engagement delivers the same map in three layers, from one source. A board layer in the language your board speaks and can ratify. An operational layer your teams run on. A developer layer engineering builds to. The three agree because they are the same map, so what your board approves is exactly what your engineers build.
The Command Canvass
Hours, not weeks, of executive time.
We call this mechanic the Command Canvass. Every participant in the map, from the CEO to the frontline manager whose queue actually holds the process, receives one instrument by email: a structured set of questions about the decisions, escalations, and judgment calls they own, built to be answered in under 40 minutes, no meeting required. Participants have one week to complete it, so an organization of any size is fully heard from before a single meeting is scheduled. Their answers converge into a single Command Map with three views: what the executive team needs to see, what the technical team needs to build against, and the complete record underneath both. Once every instrument is in, we bring the executive team together for one working session, 40 to 90 minutes, the length set by how many findings need live resolution rather than by the size of the room. A clean map closes in 40. A map with real authority conflicts to resolve runs the full 90. Either way, it ends with the map tested against the business as it actually runs and signed off as ground truth.