Understand the real system
Map the existing workflow, data sources, dependencies, and failure points before prescribing new technology.
Output / A baseline with clear priorities
The practice / How we work
Understand the system. Define its boundaries. Build in small verified stages. Leave your team with something they can operate.
Discuss your system ↗A four-stage practice
Map the existing workflow, data sources, dependencies, and failure points before prescribing new technology.
Output / A baseline with clear priorities
Decide what the system may read, change, or execute. Keep consequential permissions and approvals in the connected tools—not in prompts alone.
Output / Permission boundaries and phase gates
Establish reliable data access, validate retrieval and decisions, then test proposed actions in shadow mode before granting limited autonomy.
Output / Working increments with pass/fail checks
Document decisions, log consequential actions, and hand over repeatable operating procedures so the system does not depend on one person.
Output / Runbooks, ownership, and audit trail
Free decision map / no email required
Pick a situation. See how we'd investigate it and where to start.
01 / What's happening in your business?
02 / What we would check
03 / Best starting point
Agent Authority Review
Scoped review of actual agent and account permissions; not included in the code-only Surface Scan.
A guide to the right conversation—not a scan of your systems or a risk score.
Prefer the free Readiness Brief? ↗High-stakes actions are rehearsed and reviewed before they run live. Reads are scoped, writes are gated, and outcomes are logged. The exact checks depend on the system—not on a generic AI checklist.
Request Surface Scan — $1,297 ↗Surface Scan reviews code and repository evidence. A live permission audit requires separate scope.
Client perspective / 001
What stood out most was Brandon’s judgment. He approached AI as eyes, hands, memory, and guardrails, not as a novelty.
Dom Bookman
Co-Founder & CEO, The Happy Camper
LinkedIn recommendation · September 23, 2026 · excerpt