IT / AI Strategy

Align Technology
with Business Vision

Transform your IT landscape into a strategic asset. Unclear AI roadmaps, high spend without ROI, siloed data — I turn all of it into a clear, actionable plan.

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Approach & Key Benefits

IT & AI Roadmap — align people, processes and technology

Strategic alignment

I translate your business strategy into an actionable IT & AI roadmap so each initiative supports measurable goals.

AI readiness & maturity

I assess current capabilities and design the path toward predictive, data-driven operations.

Actionable roadmaps

From concept to execution — roadmaps that balance innovation, cost-efficiency and scalability.

Business value first

I focus on measurable KPIs: efficiency, cost reduction and smarter decision-making.

Vendor-neutral advisory

Independent guidance — I recommend the best solution for your needs, not for commissions.

Fast delivery model

My Accelerator Model speeds delivery while keeping quality, evolvability and security high.

Use cases

Strategy workshops, assessments and roadmaps

Predictive operations monitoring

Batch failures and integration outages surface before users hit them — real-time monitoring in production at Ragn-Sells: 8 dashboards over 20+ external systems on Azure.

Data strategy for decision intelligence

At Boksit Group, data mining on 130K+ transactions (RFM2DM) feeds decision models into the ERP — one unified data model across production, transport and maintenance.

Legacy system transition

Drina Insurance moved a legacy insurance system to a web ERP — 20–30% to 100% functionality in two years, zero business interruption (first web-based ERP in insurance in RS, based on available records).

Every figure above is from a named engagement — case studies.

Ready to build your IT & AI strategy?

Turn your vision into a clear, actionable roadmap and start delivering measurable results. 25+ years of ICT experience in strategy, software and transformation.

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Before you reach out

Questions about IT and AI strategy

What does a strategy engagement produce?

A written plan with measurable goals, a sequence, and the owner for each part. It comes out of your own operation, not a template: the processes you run, the systems they sit on, and the numbers that would prove progress. An AI roadmap that cannot be measured is a wish list.

How do you decide where AI fits - and where it does not?

By the work, not by the trend. The useful AI in a plant or an office sits where the data is already structured and the decision repeats: quality checks on shop-floor data, forecasting, triage of incoming requests. Where the data is fragmented, the honest recommendation is to fix that first, and I say so in the plan.

Do you work with our existing IT team or replace it?

With them, and the plan says who does what. The Accelerator Model I run is built to hand over: a documented architecture, a documented product where one exists, and your team able to run it. 19 delivery projects finished on time, within scope and on budget is the record, and handover is part of the scope, not an extra.