Identify the right starting point for AI-enabled software delivery.

Explore how your organisation can begin adopting AI across the software development lifecycle. In an introductory session with Seven Peaks, we will share our approach to AI SDLC adoption, discuss how to identify a suitable team or product for an initial pilot, and explore which delivery processes to prioritise.

Thank you for your interest.

We've received your request. A member of our team will be in touch to arrange an introductory AI SDLC discussion.

What we'll cover in the first session

An initial discussion to align stakeholders, introduce our approach, and explore where AI can create meaningful improvements in software delivery.

A product owner moving a sticky note into the next column on a glass wall

Understanding AI SDLC

A practical overview of how AI can support the software development lifecycle, from requirements and design through engineering, testing and release.

Two engineers reviewing a code change on a monitor and a checklist on a tablet

Our approach to getting started

How to identify a suitable team, product or project for an initial pilot, and the considerations that make a strong starting point.

A delivery lead answering an executive's question in a meeting room

Identifying priority processes

A discussion about your current delivery practices, challenges and opportunities to focus on the workflows where AI can add the most value.

Start focused. Measure what matters.

AI SDLC adoption does not need to begin with an organisation-wide transformation. Start with one suitable team, one priority workflow and a clear measure of success.

One suitable projectA practical starting point
Measurable outcomesQuality, efficiency and predictability

Focus the first step, measure the result, then decide how to expand.

Bring the right stakeholders into the conversation

AI SDLC adoption involves more than engineering alone.

Product owner or managerProvides product context, priorities and business objectives

Engineering / delivery leadShares current practices, team structure and delivery challenges

QA / testing leadHighlights testing practices, quality requirements and improvement areas

Architecture / securityProvides technical standards, governance and security context

Technology leadershipAligns the initiative with organisational priorities

Let's identify where to begin.

If you are exploring AI SDLC adoption, an initial conversation can help establish a practical starting point for your organisation.

Request a session