Our methodology
The Agentic Development Lifecycle (ADLC)
Most AI adoption advice stops at "use more AI tools." The Agentic Development Lifecycle is our framework for businesses ready to go further: safely putting AI to work on real tasks, with the guardrails to do it responsibly — no engineering team required. It's how we take a business from an honest AI readiness assessment to actually running with AI, safely and with confidence.
Five building blocks
Perception
Understanding the full picture of your business — data, workflows, and goals — before recommending any action.
Action
Actually putting AI to work on real tasks — not just generating suggestions your team still has to execute by hand.
Planning
Breaking a goal into concrete, doable steps — and adjusting the plan as you learn what’s working.
Memory
Tracking what’s already been tried, and building on that history instead of starting over each time.
Safety
Clear boundaries on what AI is allowed to do, who reviews its work, and when a human has to sign off.
Four phases
- 1
Foundation
Get the basics right — who owns what, what data AI can access, and what tools you need — before anything goes live.
- 2
Pilot
A small, low-risk pilot on a task that won’t hurt the business if it needs adjusting, with results tracked from day one.
- 3
Scale
Expand AI automation to more of the business, with more independence in the areas that have proven themselves — not blanket trust everywhere.
- 4
Govern
Real guardrails and a clear record of what AI has done, with your team confidently overseeing AI as a normal part of how work gets done.
Where does your organization stand today?
The Agentic Development Lifecycle is the "how." The free assessment tells you if you're ready to start.