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AI SDLC consulting · Sydney & Australia-wide

AI writes the code. We rebuild the lifecycle around it.

Coding agents made writing code the cheap part of software. The bottlenecks moved to triage, review, verification and release. We audit your AI SDLC and fix what surrounds the agent.

Let's chat What we audit

Seen from behind, a person works at the middle of three monitors, framed from the waist up. The outer monitors angle towards them. The left shows a team chat, the middle a coding editor, and the right a browser with charts. Six agent icons gently hover in an arc above the desk, blinking independently as a soft light passes across them while they work. Small pulses connect the agents to the person and to one another. They finish one at a time: the finished agent comes forward with a prominent speech bubble explaining its result, and the person turns their head towards it.

What we do

Our AI Software Development Lifecycle audit

Our own custom AI SDLC audit was built from the ground up, based on 3 years experience immersed in improving SDLCs for Atlassian customers by understanding their bottlenecks and building enterprise grade AI solutions. We provide a full audit of how AI flows through your development lifecycle. Every input, every hand-off, every human checkpoint. You get a prioritised plan for what to automate, what to fix and what to leave alone.

The software development lifecycle

One lifecycle. AI at every stage.

AI at the centre of the software development lifecycleA continuous figure-eight flows through plan, code, review, build, test, release, deploy, operate and monitor, with AI at the intersection. Amber markers indicate potential bottlenecks, not confirmed problems: plan: unclear requirements; code: missing context; review: pr queues; build: slow ci pipelines; test: gaps in verification; release: risky releases; deploy: manual hand-offs; operate: reactive fixes; monitor: missed signals.DEVELOPMENTShape & verifyOPERATIONSDeliver & learnPlan: Unclear requirementsPlanUnclear requirementsCode: Missing contextCodeMissing contextReview: PR queuesReviewPR queuesBuild: Slow CI pipelinesBuildSlow CI pipelinesTest: Gaps in verificationTestGaps in verificationRelease: Risky releasesReleaseRisky releasesDeploy: Manual hand-offsDeployManual hand-offsOperate: Reactive fixesOperateReactive fixesMonitor: Missed signalsMonitorMissed signalsAI supports the entire lifecycle, with people in controlAIAT THE CORE
Potential bottleneckHuman judgement. AI throughout.

Inputs

Signals & triage

Logs, metrics, support tickets, user feedback, security scans. Which inputs are automated, and do they stop at triage or reach merged code?

Planning

Specs agents can act on

PRDs with user stories, acceptance criteria and success metrics that are actually instrumented, so agents start from something buildable.

Review

Review, CI & merge

AI code review, auto-merge workflows, agents that read CI failures and fix them. Is review still your bottleneck?

Quality

How AI verifies itself

Unit, integration and e2e tests, coding standards, AGENTS.md. What checks the agent's work before a human sees it?

Release

Post-deploy automation

Docs and release notes, monitoring, alerting, rollback, stakeholder comms, and what percentage of changes you're feature-flagging.

Measurement

Spend & ROI

What you're paying for AI tools, whether you're measuring the return, and whether you're measuring the right things to find the real bottleneck.

Why us

Most AI consultants install tools other people built. We spent three years leading the teams that build them.

AtlassianJira Coding Agent & Rovo Dev CLIDeep knowledge comes from hands on experience. We built an agent harness and a cloud agent platform for Atlassian customers.
Atlassian scale5,000+ engineersAI workflows built for a real engineering org, working with internal teams to hand their repetitive tasks to agents.
On stageAI SDLC talks, globallyWe Are Developers World Congress (Berlin), TEAM (Anaheim) and Team on Tour (Hong Kong).
15+ yearsEvery company sizeStartups, small and mid-size companies and large enterprises. We've seen the challenges at each stage of growth.

How we work

Start with a free chat

Start with the call. Everything after that has a defined scope before it begins, and each step produces something useful whether or not we keep working together.

Initial call

Thirty minutes on your SDLC and where the friction is. You'll leave with at least one idea you can use, whether or not we work together.

Free30 minutes

AI SDLC audit

The audit above, applied to your org: every stage reviewed, bottlenecks found, and a prioritised roadmap for what to automate next.

Fixed scopeagreed up front

Implementation

Optional: we help you put the roadmap in place. Agent workflows, verification, guardrails and the enablement to make it stick.

Scopedafter the audit

A note from the founder

Matt Colman

I'm Matt Colman. For the last three years I led the Atlassian teams behind Rovo Dev CLI and the Jira Coding Agent, building AI workflows that hand repetitive work to agents across a 5,000+ engineer organisation.

I've recently spoken about AI SDLC solutions at We Are Developers World Congress in Berlin, TEAM in Anaheim and Team on Tour in Hong Kong. Over a 15+ year career I've worked in startups, small companies and large enterprises. I've seen the challenges at each stage of growth, and I'm applying that to help you scale AI adoption.

Matt Colman, Founder

mattcolman.com

Talk to us

Find the bottlenecks in your Software Development Lifecycle

Tell us where AI is working, where it isn't, and what's worth fixing first. We'll reply within a couple of days.

Business size *

or email matt@mattcolman.com directly