Requirements from mixed sources
Turn transcripts, notes and existing documents into traceable requirements, decisions and acceptance criteria.
AGENTIC SOFTWARE DEVELOPMENT LIFECYCLE
Give every agent the right artifact—and every person a clear decision.
The Agentic SDLC connects planning, design, development, testing, deployment and maintenance. The goal is not more AI activity. It is reliable delivery with better context, evidence and handoffs.
THE PRINCIPLEAgents create and check artifacts.
People approve intent, risk, release and learning.
THE CONNECTED JOURNEY
Six stages. One evidence chain.
01
Plan
Evidence becomes reviewed requirements and acceptance criteria.
02
Design
Journeys, interfaces and constraints become a reviewable solution.
03
Build
An approved specification guides bounded AI-assisted development.
04
Test
Risk-led automated and exploratory checks produce visible evidence.
05
Deploy
Identified artifacts move through quality and human approval gates.
06
Maintain
Logs, support reports and incidents return as traceable work.
HUMAN IN THE LOOP
Approve the requirement · approve the solution · review the change · authorize the release
WHAT TEAMS PRACTISE
Capability that follows the work.
Sessions combine explanation, guided practice, team exercises and evidence review using approved repositories and tools.
Reviewable specifications
Describe the problem, solution, boundaries, edge cases and verification plan before implementation starts.
Bounded agent-assisted changes
Prepare repository context, use reusable skills and work in short implementation and inspection cycles.
Intent and blast-radius checks
Compare the exact patch with the approved specification, affected boundaries and executed evidence.
AI-assisted QA with human decisions
Generate useful checks, explore risks, record defects and make an explicit recommendation on the correct build.
Production learning returns to work
Translate logs, incidents and support reports into traceable bug specifications, retests and knowledge updates.
PROGRAM SHAPE
Adapt the route after discovery.
A typical engagement uses a six-week starting structure within a four-to-eight-week range. The actual sequence depends on roles, stack and current maturity.
- Two-to-four-hour coached sessions and labs
- Exercises and independent practice between sessions
- Role-specific participation across development, QA, PM and operations
- Repository and workflow preparation alongside individual capability
- Capability evidence reviewed without unsupported productivity claims
START WITH EVIDENCE
Bring one real workflow. Leave with a repeatable method.
Start with the work already moving through your organization. We will help you see the gaps and decide the next practical step.