AI strategy consulting from the team that builds the systems
Before you spend on a build, we work out with you where AI will pay for itself and whether your data is ready for it. Then we plan governance and set up the evaluation that shows the system works. The people giving the advice are engineers who ship AI systems, so everything on the roadmap is something we can build.
building software since 2012
projects shipped since 2012
AI systems running in production
clients in 45+ countries
on Clutch, from 33 verified reviews
9001:2015 certified delivery process
What AI strategy consulting delivers
- What is AI strategy consulting?
- AI strategy consulting helps a company decide which business problems AI should solve first, whether its data can support them, what the systems will cost and how they will be governed. The output is a costed roadmap and a build plan, plus the evaluation and governance rules that keep AI safe in production.
Most roadmaps start with RAG development or AI agent development.
AI strategy services
Strategy, integration, governance and evaluation, priced as fixed discovery sprints.
AI consulting
We select use cases and write a costed roadmap and build plan, as the team that will build it.
See AI consultingAI integration
We add AI to the systems you already run, such as CRMs, ERPs and support desks, through secure APIs.
See AI integrationAI governance and compliance
We set up policies, audit trails and controls for AI under GDPR, HIPAA and the EU AI Act.
See AI governance and complianceAI evaluation and observability
Test sets, evaluations and production monitoring show whether AI answers stay accurate.
See AI evaluation and observabilityAI governance for regulated industries
AI strategy consulting FAQs
Anything not covered here, ask on the call.
What do we get at the end of an AI strategy engagement?
A ranked list of AI use cases with expected cost and payback, a data readiness check, an architecture for the first build, governance rules and an evaluation plan. It is written so your board can approve it and an engineering team can build from it.
How long does an AI strategy engagement take?
Most run as a 1 to 2 week discovery sprint. Larger organisations with several business units may need longer, which we scope on the call.
How much does AI strategy consulting cost?
The discovery sprint is free. An AI proof of concept on your data starts from $4,999.
Do you also build what the strategy recommends?
Yes. The same team builds it, which keeps the strategy honest. You are free to take the plan to another team instead.
How do you handle AI governance and regulation?
We map each use case to the rules that apply, such as GDPR, HIPAA or the EU AI Act, then design access control, audit logs, human review and model documentation into the build.
Do we need clean data before we start?
No. Part of the strategy work is checking which data is good enough today and what needs fixing first, so you do not spend months cleaning data no use case needs.
One team, matched to your working hours
We schedule 4 to 6 hours of daily overlap with US time and a full working day with the UK and Europe, so reviews, demos and fixes happen during your working hours.
What sets ScalaCode apart is their technical AI expertise and an understanding of a client's organizational ethos.
Find out where AI pays off in your business
- A free 30-minute call
- What is realistic, what it costs and how long it takes
- No obligation to build with us afterwards
“Their approach, dedication and project execution played a critical role in TipStars' success.”
James Ellis, Founder, TipStars