Candidate activities
Identify activities where an agent could act.
- Assist a practitioner
- Prepare a recommendation
- Execute a defined task
- Validate a condition
- Orchestrate tools
- Complete a bounded workflow
Agentic Engineering Readiness Assessment
Find where agents can create value — and where they should not act alone.
The first question is not which agent to deploy. It is which engineering activities are suitable for agent assistance or autonomous execution, under what conditions, and with what controls.
Human only
AI-assisted
Agent proposes / human decides
Agent executes with checkpoint
Agent executes autonomously within bounds
Overview
Start from the work, not from the tool.
The assessment evaluates selected engineering processes, activities, decisions, tools, and assurance requirements to identify viable agent use cases and the prerequisites for responsible implementation.
Objective
Build a prioritized view of Agentic Engineering opportunities based on value, feasibility, process context, and risk.
Assessment dimensions
Six dimensions per candidate workflow.
Human-only decisions
Identify decisions that should remain with accountable people.
- Engineering judgment
- Risk acceptance
- Safety responsibility
- Independent approval
- Organizational authority
Process maturity
Assess whether the relevant process is defined clearly enough to provide an agent with usable context.
Regulatory and assurance constraints
Identify the requirements that bound autonomy.
- Autonomy
- Independence
- Traceability
- Verification
- Validation
- Approval
- Retained evidence
Tool and integration readiness
Assess whether the required data, tools, APIs, repositories, permissions, and execution interfaces are available.
Risk and value
Compare expected value with the consequence of incorrect or uncontrolled execution.
How the service works
Five steps from candidate workflows to a roadmap.
Select candidate workflows
Choose representative engineering processes or activities.
Decompose the work
Separate tasks, decisions, tools, inputs, outputs, controls, and human interactions.
Classify agent opportunity
For each activity, determine the appropriate candidate mode — from human only to autonomous within defined bounds.
Identify prerequisites
Highlight process, data, tool, integration, control, or assurance gaps that need to be resolved.
Prioritize use cases
Create a roadmap based on value, feasibility, risk, and organizational readiness.
Example
A defect-resolution workflow, decomposed.
The agent can analyse, implement, test, and update traceability. The safety-impact decision and final approval remain human.
- Defect analysisautonomous
- Code modificationautonomous
- Test executionautonomous
- Traceability updateautonomous
- Safety-impact decisionhuman only
- Approvalhuman checkpoint
Deliverables
- Candidate-agent workflow inventory
- Activity-level opportunity assessment
- Autonomy classification
- Human-only decision points
- Regulatory and assurance constraints
- Integration prerequisites
- Key risks
- Prioritized pilot candidates
- Readiness roadmap
What usually comes next
Agent Operating Model Design
Give the prioritized use case a defined role, ownership, and escalation path in the operating model.
Agent Pilot Implementation
Take the top pilot candidate into controlled execution and validate the surrounding controls.