AI in SDLC: Free 2-Hour Session

www.agreeya.com

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Book 2-hour free session

Limited slots available this month

AI is transforming application and product development. Are you ready to lead?

With the power of AI, development becomes faster and smarter. But identifying where and how to apply AI can be a challenge. That is why we are offering an AI discovery & rapid prototyping session. In just two hours, you will see where Generative AI (GenAI) can accelerate the SDLC end-to-end. We will traverse the entire path from requirements, design, AI code generation, AI test generation to release notes. The session will deliver a clear, near-term plan to act.

What you will get in the free session

In this no-cost engagement where you will learn about:

Top 3 AI bets mapped by impact and feasibility for your organization
Live GenAI in SDLC demo showing real acceleration
Prototype storyline for one priority scenario
30-day action plan with quick wins, success metrics, and suggested guardrails
Risk and governance snapshot covering security, compliance, and quality controls

This session is meant for app and product leaders, engineering managers, IT managers, CTOs, and heads of modernization. It is a great opportunity to validate ideas fast and make a business case for AI without any guesswork.

Why AgreeYa?

25+ years

Application & Product Development expertise

400+

App and product development projects delivered

Strong partnerships

Microsoft Solutions Partner and ServiceNow Partner

Certified processes

ISO 9001 & SOC 2 Type II certified practices

GenAI toolkit

Faster and safer app and product development

Limited spots are available

We are offering a limited number of free 2 hour session slots this month. Reserve your spot now to see how AI in SDLC can solve pressing challenges.

Reserve your spot now!

Frequently Asked Questions (FAQ)

AI speeds requirements-to-release by turning requirements into user stories, suggesting designs, generating/refactoring code, auto-creating tests, triaging defects, and drafting release notes. AI reduces cycle time while improving coverage and consistency.

No. AI augments teams by automating repeatable work (stories, scaffolds, tests) while humans own design, reviews, security, and production readiness.

AI delivers quick wins in backlog acceleration, code scaffolding/refactors, AI test generation, and release documentation. The impact of AI should be measured by cycle time, change failure rate, and defect escapes.

Adopt human-in-the-loop QA to generate unit/integration/edge tests, prioritize risk, summarize failures, stabilize flaky suites. Leverage human expertise for reviews, coverage thresholds, and CI checks.

Organizations should use guardrails such as policy-based prompts, secrets scanning, SAST/DAST, SBOM + license checks, model-use policies, and mandatory code review to keep AI-assisted development secure and compliant.