01
AI readiness assessment
An honest look at your data, systems, people and processes. We tell you what's ready, what isn't, and what has to change first.
AI Transformation
Find where AI actually pays off, before you spend a dollar.
Most AI budgets go to tools nobody needed. We start with your business, map how it really runs, and rank the opportunities by the value they return, then hand you a plan you can execute.
Why start here
Strategy is deciding what not to build.
AI is arriving in every business through a side door: someone buys a tool, a team runs a pilot, a demo impresses a board. Six months later nobody can say whether anything improved. That's not a technology failure. It's a prioritisation failure.
We map your systems, data and workflows, then rank opportunities by impact, complexity, cost and risk. The output is a short list of things worth building, the order to build them in, and a clear view of what to leave alone. No AI for the sake of it.
What we do
Transformation, in five concrete steps.
Each one produces something you can act on, not a slide deck.
02
Workflow analysis
We follow the work as it actually happens, including the manual steps, workarounds and exceptions nobody documented.
03
AI opportunity mapping
Every candidate use case, scored on business impact, technical complexity, cost and risk. Ranked, not listed.
04
AI roadmap
A sequenced plan: quick wins to prove value, foundational work to make the bigger bets possible, and realistic timelines.
05
AI adoption strategy
How the change lands with your team, training, ownership, guardrails and the metrics that tell you it's working.
06
Build, buy or wait
For each opportunity we say plainly whether to build it, buy it, or wait. Sometimes the answer is that AI isn't the right tool yet.
What you walk away with.
A two-week engagement that leaves you with everything needed to make decisions and budget with confidence.
- A ranked map of AI opportunities across the business
- A prioritised AI roadmap with phases and dependencies
- Impact, complexity, cost and risk for each opportunity
- Recommended build, buy or wait decisions
- Data readiness and integration constraints
- Security, privacy and human-oversight requirements
- Success metrics for every initiative
- An adoption plan your team can own
How it runs
The same five steps, every time.
You always know what's happening, what it costs, and what it's expected to change.
- 01
Discover
We map how the business actually runs, systems, data, workflows and the people inside them.
- 02
Identify
We surface the high-value opportunities where AI and automation change the outcome.
- 03
Prioritize
Impact, complexity, cost and risk, ranked, so you build the right thing first.
- 04
Build
We design and ship the agents, automation and software that deliver it.
- 05
Improve
We measure what changed and continuously improve the system in production.
Proof
Where this has already worked.
Real engagements, real outcomes, described honestly.
We migrated the application to a Next.js and Node.js architecture on AWS, rebuilt the database layer and shipped a companion mobile app.
Faster page loads, materially stronger organic search performance, and a platform the team can keep extending.
FAQ
Questions, answered honestly.
No sales spin. This is what people ask before they start working with us.
Not sure where to start?
Begin with an AI Opportunity Audit. Two weeks, a ranked plan, and an honest answer about what's worth building.