Abstract technology network background

Agentic SDLC Assessment

Is Your Engineering Organization Ready for Agentic SDLC?

AI coding tools are easy to adopt. Building an engineering system that can safely operate with increasingly autonomous AI agents is harder.

The Assessment

What Is the Agentic SDLC Assessment?

What is Agentic SDLC?

Agentic SDLC is an approach where AI agents participate across multiple stages of the software development lifecycle within defined permissions, verification processes and human oversight.

The Agentic SDLC Assessment evaluates your current engineering environment and identifies where AI can create meaningful leverage — and where additional controls are required.

Scope

What We Assess

Engineering Workflow

  • Planning
  • Development
  • Code review
  • Documentation

AI Adoption

  • Coding agents
  • Agent workflows
  • Context management
  • AI usage patterns

Quality

  • Testing
  • Verification
  • Regression
  • Quality gates

Architecture

  • System architecture
  • APIs
  • Service boundaries
  • Technical debt

DevOps

  • CI/CD
  • Deployment
  • Infrastructure
  • Observability

Security & Governance

  • Agent permissions
  • Secrets
  • Data access
  • Human approval
  • Auditability

Deliverable

What You Receive

Agentic SDLC Readiness Report

The assessment identifies:

  • Current maturity
  • Engineering bottlenecks
  • AI automation opportunities
  • Risk areas
  • Recommended architecture
  • Priority roadmap
  • Pilot recommendations

Process

The Assessment Process

01

Discover

Understand your engineering environment.

02

Evaluate

Assess AI readiness, workflow and engineering constraints.

03

Map

Identify opportunities and risk boundaries.

04

Recommend

Produce a prioritized AI-native engineering roadmap.

05

Pilot

Where appropriate, identify a focused implementation opportunity.

FAQ

Frequently Asked Questions

Who should take an Agentic SDLC Assessment?

CTOs, VP Engineering, Heads of Engineering and technology founders evaluating AI-assisted or agentic software development.

Do we need to already use AI coding agents?

No. The assessment can also help organizations determine where AI-assisted engineering could be introduced.

Does the assessment require replacing our engineering tools?

No. The objective is to understand the existing environment and determine where changes create meaningful value.

Explore

Request Your Assessment

Tell us about your engineering environment and where your process is becoming constrained.