22%
of organisations have a defined AI strategy despite widespread adoption. The rest are experimenting without a plan.
Thomson Reuters, 2025
AI & Data
AI strategy that delivers, not just decks.
Most AI strategy ends as a presentation. We help leadership teams turn ambition into a roadmap your engineering team can actually execute, with prioritised use cases, clear architecture decisions, and a phased plan that shows progress quarter by quarter.
From AI ambition to a plan your team can run.
Most AI strategy ends as a deck. Beautiful slides, generic frameworks, no path to a working system. Six months later you have a presentation, not a product. We work differently. Our consultants are senior engineers who have shipped AI to production. The roadmap we hand you is not aspirational. It is buildable. Use cases prioritised by ROI and feasibility, architecture decisions grounded in your actual constraints, and a delivery plan with phases your team can own.
By the numbers
AI adoption is everywhere. Strategy is the missing piece.
Companies are investing heavily in AI. The ones that see returns are the ones that planned before they built.
88%
of AI projects get stuck at the pilot stage and never reach production at scale.
IDC, 2025
2×
revenue growth for organisations with a defined AI strategy versus those without one.
Thomson Reuters, 2025
What you get
A complete strategy package: assessment, prioritisation, architecture and a roadmap ready for engineering to build.
AI maturity assessment
Where you are today across data, talent, infrastructure and process. With the specific gaps you need to close before the first use case ships.
Prioritised use-case backlog
A ranked list of opportunities scored on ROI, technical feasibility and strategic fit. Backed by your data, not guesswork.
Architecture decisions made early
Build vs. buy, model selection, data residency, orchestration layer. The choices that lock in cost and capability, decided before the first line of code.
Data readiness audit
What data you have, what shape it is in, what is missing for the priority use cases. Honest gap analysis with a remediation plan.
Operating model and team design
How to staff, govern and run AI delivery. One central team, AI people embedded in each unit, or a mix of the two. Sized to your scale and the risk you are comfortable with.
A delivery roadmap your team can own
Phased plan with quarterly milestones, dependencies and clear go/no-go gates. Built so internal engineering can execute it without us in the room.
Selected work
Strategy engagements that produced working systems. Not just decks.
ZipZero
ZipZero lets users collect funds from their purchases to pay monthly household bills. Backed by AI that scans receipts and recognises products, it lets users earn from their own shopping data.
View Case Study
Recast
Recast is a platform that resets what it means to stream. Making access fairer, rewarding creators better, and connecting through content. Where Fans pay creators per view, rather than the platform per subscription.
View Case StudyWhy Codino
- Engineers, not just consultants. Every strategist on our team has shipped AI to production. The roadmap is grounded in what actually works at delivery time.
- Business-to-tech translation. We speak both languages. Leadership gets a clear business case. Engineering gets buildable specs. No information lost in between.
- Honest about what will not work. We kill bad ideas early. Better to say no in week two than to watch a project die in month nine.
- Vendor-independent. No partnerships with cloud providers or model vendors. We recommend what fits your problem, not what fits our quota.
- EU-based, GDPR by default. Data residency, compliance and governance designed in from day one. No retrofitting required.
- Speed to insight. First usable assessment in two weeks. First prioritised use case in four. No six-month discovery phases.
How we deliver
From kickoff to a roadmap your engineering team is ready to run. Usually 4–6 weeks.
- 01
Discover
Stakeholder interviews, process walk-throughs and data inventory. We map the business outcomes you care about and the systems that currently support them.
- 02
Assess
Maturity scoring across data, infrastructure, talent and governance. Honest gap analysis with the specific blockers ranked by cost to close.
- 03
Prioritise
Use-case workshop with leadership. Each candidate scored on ROI, feasibility, risk and strategic fit. You leave with a clear first project.
- 04
Roadmap
Quarterly phased plan with architecture decisions, team design, governance model and go/no-go gates. Handover to engineering with the docs and dashboards to run it.
What changes when strategy is buildable
Book a strategy workshopAI investment lands on use cases that affect the bottom line
Prioritisation grounded in ROI and feasibility. Not in what the loudest stakeholder wants to try this quarter.
Architecture decisions stop being rewritten every six months
Build vs. buy, model selection, data residency. Locked in early, with the rationale documented so the next CTO does not start from scratch.
Engineering knows what to build on Monday
The roadmap hands over with sequenced work, dependencies and acceptance criteria. Not a slide that says "transform the business".
Leadership has a credible answer to "where is AI value?"
Phased milestones tied to measurable outcomes. The board sees progress, not promises.
Where AI strategy lands first
High-volume, data-rich industries where the ROI of a well-chosen first use case is measurable in months, not years.
Financial services
- Risk and credit decisioning prioritisation
- Operations automation backlog
- Customer service AI roadmap
- Compliance and regulatory readiness
What Clients say about us
Marcin Walaszczyk
CTO
"The expertise of the leaders, coupled with the diverse skill sets of their teams, truly sets them apart. Their vast experience across a myriad of projects ensures that they can adeptly handle virtually any project you envision. Furthermore, their deep involvement in the process is palpable; it's as if they seamlessly integrate and become an intrinsic part of your in-house development team."
ZipZero
Pete Willcox
VP Product
"All members of the Codino team fit seamlessly into our delivery teams, building excellent relationships and always willing to go the extra mile to deliver on our Roadmap in a timely and efficient way. We have built extremely good relationships with them and they feel just like part of the team"
Recast
AI strategy, explained
We do not hand you a deck. Our consultants are senior engineers who have shipped AI to production, so the roadmap we produce is grounded in what works at delivery time, not in textbook abstractions. You get architecture decisions, code-level constraints, and a buildable phased plan.
Typically 4–6 weeks for a focused engagement: discovery, maturity assessment, use-case workshop, and a roadmap document. Larger transformations run longer; we keep them phased so each phase delivers value on its own.
Yes. Many clients take us through to delivery. But we design the roadmap so any competent engineering team can execute it. You are never locked into our delivery if you want to use internal teams or other partners.
It rarely is. Part of the engagement is an honest data readiness audit and a remediation plan. We sequence the roadmap so the first use case is achievable with the data you have, while parallel data investments unlock the bigger ones.
EU-region by default, GDPR-compliant frameworks, and an AI governance design that fits your sector, whether that is financial services, healthcare or otherwise. We help you stand up the model registry, evaluation discipline and access controls you will need before you scale.
Let's Talk About Your Project
Get In Touch
Maciej Roman|CEO & Co-founder