AurValdSenior architecture, AI and FinOps leadership — without a full-time hire.
AurVald helps mid-market organisations in Estonia, Romania and the Baltics bring cloud and AI costs under control, choose the right data platform and move AI from pilot to production — with senior expertise, part-time, for as long as you need it.
You may need AurVald if…
- Your cloud or AI bill is growing faster than the business — and nobody can say exactly why.FinOps →
- You can't state what it costs to serve one customer, transaction or AI request.FinOps →
- You're choosing or re-platforming a data platform — Microsoft Fabric, Databricks, Snowflake — and want an independent view.Data architecture →
- Your AI pilots work in demos but haven't reached production.AI architecture →
- You use AI in hiring, credit or pricing decisions and aren't sure what the EU AI Act now requires.EU AI Act →
- You need senior leadership in one of these areas, but not a full-time hire.How we work →
Three specialisms. One integrated view.
Most organisations treat cost, data and AI as separate projects with separate advisors. We work across all three, so the platform you choose, the AI you build on it and what it all costs are decided together.
FinOps & Cloud Economics
Visibility, ownership and optimisation of cloud and AI spend — from a first baseline to a FinOps operating model that runs without us.
Commercial outcome: a cloud and AI bill you can explain, forecast and defend to the board.
See FinOps services →Data & Microsoft Fabric Architecture
Independent data platform and Microsoft Fabric architecture: platform choice, medallion design, governance and a roadmap your team can build against.
Commercial outcome: a data platform decision you won't have to reverse in 18 months.
See Data & Fabric services →AI Architecture & FDE
Use-case prioritisation, AI solution architecture and hands-on prototyping (forward-deployed engineering) to take AI from pilot to production.
Commercial outcome: AI investment focused on use cases with a measurable return — and a running cost you know before you build.
See AI & FDE services →Using AI in hiring, credit scoring or insurance pricing? The EU AI Act deadlines for high-risk systems moved in 2026. See what changed and what to do now.
Three lenses, one conversation.
An architecture decision is also an AI decision and a cost decision. AI usage is metered, so every design choice changes the bill — and every budget limit constrains what the architecture can do.
Specialists who look at only one of these leave the trade-offs for you to discover later. We put a single recommendation on the table, with the trade-offs between architecture, AI and cost made explicit.
How we work →The 2-week Rapid Review
A fixed-scope diagnostic on one area. You get a written report, a read-out with your leadership team and a 90-day action plan — with no obligation to continue.
Fixed fee, agreed before we startTwo weeksAround three days of senior time
FinOps Rapid Assessment
Best if cloud or AI spend is rising faster than the business.
- Baseline of spend, with an allocation map and top cost drivers
- Savings opportunities, each quantified with effort and owner
- Recommended allocation model and AI cost guardrails
Data Platform Review
Best before a platform decision or when trust in the numbers is low.
- Current-state assessment of your data platform
- One-page target architecture (Microsoft Fabric or alternative)
- Top risks, quick wins and dependencies
AI Opportunity Assessment
Best when AI pilots have stalled or the board wants a plan.
- Prioritised use cases scored on value, feasibility and cost
- Target architecture and prototype plan for the top use case
- Cost estimate at pilot and production scale, plus EU AI Act risk class
Senior-led advice that carries through to delivery.
Senior-led, start to finish
Engagements are led by AurVald's founder, who stays accountable for the design from the first workshop to sign-off. AurVald takes on a small number of clients at a time, so every engagement gets senior attention.
Independent design authority
We are not paid by build hours, so build hours don't shape our advice. AurVald holds the design; where you need implementation capacity, our London-based delivery partner builds against it under our oversight.
Deliverables you can act on
Every output ends in a decision you can take next week: the recommendation, the trade-offs, and the alternatives we rejected and why.
Vipan Bij
Vipan is a data, AI and FinOps architect who previously worked at Deloitte and KPMG. He designed and built a multi-domain Microsoft Fabric medallion platform serving nine business functions and has led AI automation programmes in an enterprise environment — so the patterns AurVald recommends are patterns he has delivered.
Start with a 30-minute conversation.
Tell us what's on your desk. If we're not the right fit, we'll say so.