DevClarity - AI Development Upskilling for the SDLC

DevClarity provides a structured approach to AI transformation for PE-backed engineering organizations. We help teams move from scattered AI experimentation to measurable adoption and impact - delivering results within 30 days.

Our professional services are delivered in relation to eligible AWS Marketplace products and AWS Services, including Amazon Q, GitHub Copilot (available on AWS Marketplace), Claude via Amazon Bedrock, Amazon Kiro, and AWS developer tools across the SDLC.

The Challenge

AI tools are spreading fast, but real engineering leverage requires more than individual experiments. Companies struggle to translate early AI adoption into tangible, sustainable impact. Without a clear roadmap, measurable KPIs, and the ability to operationalize AI across the SDLC, organizations get stuck with random acts of AI instead of compounding productivity gains.

Our Approach

Everything we do drives either Adoption (raising your team's baseline capability) or Impact (accelerating specific business bottlenecks). Our framework includes:

• AI-SDLC Maturity Model: Defines the path from fully manual to fully autonomous development across seven SDLC phases, giving your organization a shared language and clear destination. Explore the model at devclarity.ai/resources/ai-sdlc-maturity-model
• AI-SDLC Metrics Framework: Provides objective ways to evaluate current maturity and track progress, establishing measurement infrastructure to prove ROI
• Structured Engagements: Assess, Train, Apply, and Sustain cycles tailored to your team

Engagement System

1. Foundations (Assess): Maturity scoring across all seven SDLC phases, tool-agnostic metrics baseline, and a prioritized transformation roadmap

2. Level-Ups (Train and Apply): 8-10 week engagements covering engineering, QA, product, and professional services. Includes foundational training, environmental setup, and Directed Efforts that build reusable skills and workflows

3. Embedded AI Transformation (Sustain): Ongoing measurement, leadership calls, team training, office hours, and co-owned transformation roadmaps

Prerequisites and Scope

DevClarity engagements focus on software development lifecycle workflows. Buyers should have an active engineering team working with modern development tooling. Teams must be willing to allocate time for training sessions, Directed Efforts, and leadership check-ins. DevClarity does not cover infrastructure provisioning, hiring, or non-SDLC business workflows. Engagements are tool-agnostic and work across tech stacks, but teams must have access to or be willing to adopt supported AI coding tools available on AWS Marketplace or AWS Services.

Security and Data Handling

DevClarity engagements are conducted within the customer's own development environment. Consultants work under standard NDAs and security agreements. Customer source code is not stored or transmitted to external systems. DevClarity maintains security compliance practices designed for PE-backed companies with board-level IP protection requirements.

Results

Development teams properly adopting AI-assisted coding see a 50% reduction in most development tasks, 34% increased capacity without adding developers, and up to 90% cost savings compared to expanding the team. AllTrails scaled AI coding adoption to over 90%, and Dental Intelligence accelerated integration work by 44%.

Get Started

Book a discovery call to begin with a Foundations maturity assessment. Visit devclarity.ai to schedule your structured intake session and see how your team scores across the AI-SDLC Maturity Model.

Join other PE-backed companies accelerating release cycles and increasing valuation with AI-assisted development across AWS Services and AWS Marketplace products.