Move your team from random AI usage to governed AI workflows.
Most companies are solving the wrong AI problem. They buy tools and train people, but never redesign the work. AI tools now have a blast radius.
Already enrolled? Log in to AI Builder Lab.AI adoption without workflow design creates invisible risk.
People are using copilots, agents, and MCP-connected tools inside live business processes. The question is no longer whether AI is being used. The question is whether the workflow has a baseline, reusable skills, permissions, review points, and a measurement loop.
Six-pillar operating model
Baseline, Skills, Agents, Guardrails, Schedule, Capture.
Business metrics first
Every advisory path starts with the current metric and 90-day target.
Guardrails by design
Human checkpoints, data boundaries, action limits, escalation, and security are mapped together.
Insured advisory practice
Professional liability and cyber coverage, with proof available on request.
Training for builders. Advisory for workflows.
AI Builder Lab gives individuals a guided practice environment. FORGE is the advisory path for redesigning real business processes around the six pillars.
AI Builder Lab Champion Seat
$199Training entry point for one builder who needs hands-on practice turning AI usage into safer repeatable workflows.
Start Champion SeatSkills / Prompt Audit
$1,500Convert ad-hoc prompts into 3-5 reusable Skills files and identify missing guardrails.
Submit IntakeFORGE Discovery Workshop
$2,500Map one priority workflow with your team and define the six FORGE pillars before adoption spreads.
Explore FORGEA six-pillar model for agent-ready work.
FORGE turns a real process into a governed workflow with a current-state metric, captured skills, controlled agent actions, review checkpoints, schedule rules, and a capture loop.
Baseline
The before number, owner, source system, and target.
Skills
Reusable prompts and instructions that capture expert work.
Agents
Workers assigned only where reliability and impact make sense.
Guardrails
Human approvals, data boundaries, action limits, escalation, and security.
Schedule
Triggers, cadence, dependencies, and failure handling.
Capture
Measurement, pruning, regression checks, and expansion.
Less strategy theater. More usable operating artifacts.
Train
AI Builder Lab gives people a safe place to practice workflow thinking before they touch production data.
Map
The intake and workshop force the process into concrete steps, owners, tools, review points, and failure modes.
Contain
Guardrails are designed as blast-radius controls, not vague policy language.
Measure
Every recommendation ties back to a business metric and a 90-day target.
Ready to make one workflow governable?
Start with the FORGE advisory intake if you have a real workflow. Start with the Lab if your team needs training before redesign.