We enterprises that run on AI.
Most enterprises bolted AI onto old workflows. We rebuild the workflow itself, embedding AI across the full lifecycle so platforms ship faster, modernise sooner, and adapt continuously.
Backed by real outcomes
Behind every number is a real problem we solve: a legacy system holding teams back, a platform that can't scale, a process no one can follow. The technology is never the hard part. Knowing where to apply it is.
A complete suite, built for the enterprise.
Four pillars. Select one to see everything it covers.
Know exactly where AI creates value before you invest, then get there on a roadmap that survives contact with reality.
Collapse dozens of disconnected systems into one platform teams want to use, built to change as fast as you do.
Modernise the systems buckling under load so they hold up on your busiest day and cost less the rest.
A dedicated engineering team that runs like your own, scales the moment you need it, and stays for good.
Know exactly where AI creates value before you invest, then get there on a roadmap that survives contact with reality.
AI/Greenlight — our governed AI delivery engine.
AI velocity. Human greenlight. Proof at every step.
Speed is never the problem. Control is. AI/Greenlight keeps the pace of AI-assisted development while restoring control, with a human go-ahead at every hand-off.
See it run the lifecycleLeft unchecked, AI leaps straight from a loose story to code — dragging along missing context, invented assumptions, and regressions no one sees until they ship.
AI/Greenlight closes it — three layers we own between the story and the code, with a human greenlight at every hand-off.
Context
The enterprise integration bridge. Retrieves approved, source-linked project truth: stories, docs, designs and code.
“What is the real project context and which systems should AI use?”
Prevents: copy-pasted prompts and hallucinations caused by missing context.
Blueprint
The engineering discipline layer. Runs a controlled progression (specify, clarify, plan, tasks, analyse) anchored in a project Constitution.
“How should this requirement become a controlled plan?”
Prevents: the jump from a loose story straight to generated code, and AI-invented assumptions.
Map
The engineering intelligence layer. A living dependency map across code, APIs, data, UI, tests and docs, updated at every stage.
“What else could this change affect?”
Prevents: unseen regressions and blast-radius surprises discovered only after shipping.
From client intent to production learning.
The lifecycle is closed-loop: it starts before the user story and continues after release — with a human greenlight, sized to the risk, at every stage.
Discover
Before the story.
GREENLIGHTMeetings, transcripts, emails, RFP/SOW, client docs, Figma and production feedback become the raw intake — captured, not lost.
Structure
Noise into artifacts.
GREENLIGHTAI-assisted extraction turns intake into BRD/FRD, stories, acceptance criteria, RAID and open questions — every item source-linked.
Approve
Human validation.
GREENLIGHTPeople validate the drafts: Definition of Ready, backlog baselining and scope governance before anything is engineering-ready.
Context
Approved truth.
GREENLIGHTMCP retrieves approved ADO items, documents, repo, design and Map context — read-first, least-privilege, fully provenanced.
Blueprint
Specify before code.
GREENLIGHTSpecify, clarify, plan, tasks and analyse — a controlled progression anchored in the project Constitution before any code is generated.
Map
See the blast radius.
GREENLIGHTBaseline, feature-impact, PR-review and release knowledge updates across code, APIs, data, UI, tests and docs.
Build & Verify
Governed delivery.
GREENLIGHTTask-scoped AI assistance with tests, security scans, PR evidence and human review — quality and security run as rails, not afterthoughts.
Release & Learn
Close the loop.
GREENLIGHTImmutable promotion, release approval, observability and incident feedback — production evidence flows back into specs, tests and the backlog.
Discover — Before the story.
Greenlight: Requirement approvalMeetings, transcripts, emails, RFP/SOW, client docs, Figma and production feedback become the raw intake — captured, not lost.
Teams · SharePoint · Power Automate
BA · PM · Product
Requirement approval
The loop closes — production evidence from Release & Learn flows back into Discovery. AI/Greenlight is how we deliver today, and the governed spine our agentic platform builds on: governed acceleration first, greater autonomy later. Never the reverse.
Copilot and Cursor stay the hands — AI/Greenlight is the brain. Works with Azure DevOps · SharePoint · Figma.
Enterprise outcomes, quantified.
Every engagement is measured by the business result — not the technology. Here’s what that looks like in practice.
INDUSTRIAL SUPPLY
Reduction in API errors
Learn how Blackwoods streamlined product discovery across 200,000 SKUs without disrupting operations.
Read the case study
QSR
Reduction in IT operating costs
Learn how smarter systems helped Hungry Jack’s scale operations and performance across locations.
Read the case study
FASHION RETAIL
Increase in repeat purchases
How Oroton used smarter systems to turn a fragmented digital experience into a seamless one.
Read the case study
AUTOMOTIVE AUCTIONS
Increase in conversions
How Pickles rebuilt its auction platform to handle peak bidding traffic and automate auction operations.
Read the case studyYour Industry. Our Edge.
Explore IndustriesTrusted by Industry Leaders
Partners in Progress
“Softobiz is a company that can take any vision of mine and make it into reality”
“Softobiz, literally, not only leads but they drive success in our tech partner integration function”
“We’ve got more done in the last 12 months than in the last 3 or 4 years.”
Clarity. Care. Collaboration.
We show up for each other the same way we show up for our clients; with clarity, compassion, and commitment.
Across locations and roles, we collaborate with respect and a shared sense of purpose.
Our strength isn’t just in what we know — it’s in how we care. For the work. For the process. And for each other.