2025 Assessment Framework

Is your SDLC ready for
agentic AI?

The Agiler.ai SDLC Agentic AI Readiness Index is a structured framework for evaluating where your organization stands — and where the highest-return automation opportunities lie.

4.2x
Throughput gain
68%
Tasks automatable
8
SDLC phases scored
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Phase 01
Planning & Requirements
Phase 02
Architecture & Design
Phase 03
Development & Code Gen
Phase 04
Testing & QA
Phase 05
Security & Compliance
Phase 06
Build, CI/CD & Release
Phase 07
Deployment & Infra
Phase 08
Monitoring & Incident Resp.
What you receive

Four interconnected deliverables.
One complete picture.

01 —
🗺️
Phase Maturity Model
Defines 5 maturity levels across all 8 SDLC phases — giving your team a shared vocabulary for current state and target state.
02 —
🔍
Opportunity Assessment
Identifies the specific agentic automation opportunities in each phase, ranked by potential impact and implementation effort.
03 —
📊
Gap Analysis Scorecard
A structured scoring instrument that quantifies maturity gaps across 40+ capability dimensions with a normalized score and heat map.
04 —
🛣️
90-Day Roadmap
A prioritized transformation roadmap with effort/impact ratings and implementation guidance tailored to your organization's context.
Coverage

Every phase of your delivery pipeline

P1
Planning & Requirements
Story generation, backlog coherence, definition-of-ready automation
Highest ROI
P2
Architecture & Design
ADR generation, design standards enforcement, dependency impact analysis
High Impact
P3
Development & Code Generation
Spec-to-implementation, continuous refactoring, code review agents
High Impact
P4
Testing & Quality Assurance
Test suite generation, flaky test triage, regression impact analysis
Measurable ROI
P5
Security & Compliance
Continuous threat modeling, SAST/DAST interpretation, compliance evidence
High Risk/Reward
P6
Build, CI/CD & Release
Build failure diagnosis, pipeline optimization, release coordination
Quick Wins
P7
Deployment & Infrastructure
IaC generation, drift detection, capacity planning, cost optimization
Cost Savings
P8
Monitoring & Incident Response
Alert triage, root cause analysis, runbook execution, postmortem drafting
MTTR Reduction
Maturity Model

Where does your organization fall?

01
Manual
All phase activities performed by humans. No AI tooling. Output depends entirely on individual skill.
02
Assisted
AI tools used ad-hoc for specific sub-tasks. Human-initiated every time. No workflow integration.
03
Augmented
AI embedded in defined workflow steps as standard operating procedure. Human review at every output.
04
Agentic
Multi-step agentic workflows run autonomously. Human oversight at decision gates, not task level.
05
Self-Optimizing
Agents monitor their own performance and adapt. The SDLC improves itself continuously.
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