Digital & data strategy
What to build first, what it costs, and what is not worth building yet.
The challenge
Every team is building — toward different pictures
Products, data and AI each have their own plans, vendors and definitions of done. Money gets committed before direction is set, and the estate grows by accident — especially after a merger leaves you with two of everything. The cost isn't only duplicate systems. It's every project pulling in its own direction.
Our approach
One roadmap the board can fund
We map where the value is, what to build first and what to consolidate — one sequenced plan across products, data and AI, costed and prioritized by the value each step unlocks. Early wins fund the later stages, and every team builds toward the same picture — from post-M&A consolidation to data-driven decisioning.
Results
Aligned before the money is committed
Sunk cost on dead-end tools and duplicate systems comes down, and delivery compresses from years to quarters — because every team is building toward the same picture.
What we do
One sequenced plan across products, platform, data and AI — costed, prioritized by the value each step unlocks, defendable to the board.
- Initiatives costed and prioritized by the value each one unlocks
- Sequenced so early wins fund the later stages
- Owned jointly with your leadership — not a binder that ships and dies
The deal closed; now there are two of everything. We assess both estates, decide what survives on evidence — cost, risk, capability — and sequence the consolidation so the business never stops reporting or selling.
- Both estates assessed on evidence — cost, risk, capability
- Survivors chosen per domain; migration sequenced around business continuity
- Synergy numbers tracked against the deal case
Reference architecture for the whole technology estate — applications, integrations, data platform, AI — so every project builds toward the same picture.
- One reference design across applications, integrations, data and AI
- Every new project builds toward the same picture
- Written for your team's size and skills, not a vendor's diagram
Roles, responsibilities and decision rights between business, IT, product and data teams — designed for your size, not a Fortune-500 template.
- Decision rights between business, IT, product and data — made explicit
- Designed for your size, not a Fortune-500 template
- Rolled out with the teams, not announced to them
Where to build, where to use a vendor SaaS, where to push back on incumbent stacks. Tied to total cost, lock-in and team capacity — honest assessment of what you have today included. Numbers, not vibes.
- Options priced on total cost, lock-in and team capacity
- Honest assessment of the estate you already have
- A recommendation with numbers attached, not vibes
Consultancy in changing how decisions get made, not just what informs them. We find the calls still made on habit and gut, redesign the process around evidence — who decides, on what number, with what feedback loop — and help the organisation actually adopt it.
- The calls still made on habit and gut — found and redesigned around evidence
- Who decides, on what number, with what feedback loop: made explicit
- Adoption coached until the new way is the habit
Most businesses have digitized the storefront and left the rest of the chain on phone calls and spreadsheets. We map how you buy, make, sell and serve — and find the steps where a digital channel changes the economics. The build then goes to Product Engineering.
- The whole chain mapped — buy, make, sell, serve — not just the storefront
- The steps found where a digital channel changes the economics
- The build handed to Product Engineering with the case already made
Proven in production
Data
Arnarlax — Iceland's largest farmer and producer of Atlantic salmon
Iceland's largest Atlantic salmon producer replaced its source systems and its data platform at once — migrated to Microsoft Fabric without the business losing a reporting week.
AI & Data
Sýn — An AI-native data platform
Iceland's telco and media group replaced a legacy warehouse estate with a self-running Databricks lakehouse — AI on both sides of the platform, and roughly half the run-rate.
Web
Straumur — A payment facilitator built from an empty repository
Onboarding, processing, settlement, portals and APIs written from an empty repository — kick-off to live money in about seven months, and 50M+ transactions in the first eighteen.