AI Services
AI Consultancy
Where will AI actually move the needle in your business — and where is it expensive theater? We give you honest answers with technical depth, not a slide deck of buzzwords.
- 6+ Years
- Building production software
- 130+
- Sectors advised across
- 95%
- Client satisfaction rate
- 24/7
- Global support coverage
Strategy that survives contact with your codebase
Most AI consulting stops at the roadmap. Ours is written by the same engineers who'd have to build it — so it's grounded in what your stack, data, and team can actually support.
AI readiness audit
A clear-eyed assessment of your data, infrastructure, and workflows — what's actually ready for AI, and what needs to be fixed first.
Opportunity mapping
We rank use cases by realistic impact and effort, not novelty, so your first bet is a good one.
Build vs. buy analysis
Honest guidance on when to integrate an existing model or vendor versus when custom development actually pays off.
Risk & governance review
Data privacy, model risk, and compliance considerations mapped before you're mid-build, not after.
Team enablement
We leave your engineers more capable, not more dependent — through pairing, documentation, and knowledge transfer.
Roadmap & business case
A phased plan with cost, timeline, and expected ROI your leadership can actually sign off on.
What's included
- AI readiness and data maturity assessment
- Prioritized opportunity backlog scored by impact and effort
- Build vs. buy vs. integrate recommendation per use case
- Architecture and vendor recommendations
- Risk, governance, and compliance considerations
- Phased roadmap with budget ranges and success metrics
Technology we reach for
From first call to shipped product
Discover
We scope the real problem and define success before writing a plan.
Design & Plan
Architecture, milestones, and estimates you can hold us to.
Build & Iterate
Short sprints, visible progress, direct access to engineers.
Ship & Support
We stay on post-launch for monitoring, fixes, and iteration.
Questions you might have
Yes — in fact that's the most common starting point. Part of the readiness audit is identifying what data work needs to happen before any model delivers reliable value, and we'll scope that honestly rather than skip past it.
No. A meaningful share of our recommendations are 'don't build this yet' or 'this doesn't need AI at all.' We're not paid on implementation hours from this engagement, so there's no incentive to inflate scope.
A focused readiness audit and roadmap usually runs 3–6 weeks depending on how many business units are in scope. Larger organization-wide assessments can run longer.
If you want us to, yes — through our AI-Native Product Development or AI Retrofitting services. But the roadmap is written to be actionable by any team, including yours.
Let's build
Ready to talk about AI Consultancy?
Book a free 30-minute call. We'll tell you honestly whether this is the right move.