Understand where AI fits

A clear view of where AI can support decisions, automate work, improve service, or strengthen operations, and where it is unlikely to create meaningful value.

Focus on high-impact opportunities

A structured way to identify and prioritize use cases based on business value, feasibility, readiness, and time to impact, so the most relevant opportunities stand out.

Build on real data readiness

Early understanding of data quality, accessibility, ownership, and integration constraints creates a stronger basis for deciding what is realistic now and what requires preparation first.

Reduce execution risk

Early visibility into governance, trust, process maturity, system constraints, and organizational readiness helps avoid costly missteps and low-value AI initiatives.

"Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across industries, largely through productivity gains and new use cases."
A
Analysis

We start by understanding the business in context. This includes reviewing goals, current challenges, and where improvements would have the most impact.

We also look at how the business operates today, including key processes, decision points, and constraints. This ensures the work starts with business value, not technology for its own sake.

C
Capability mapping

We review relevant AI tools and what they can realistically do. This includes understanding their strengths, limitations, data requirements, governance implications, and the level of trust needed for adoption.

The goal is to connect these capabilities to the business context. This helps clarify where AI fits, where it does not, and what conditions need to be in place for success.

S
Selection

We identify and shape a focused set of use cases based on the business context, available capabilities, data readiness, and implementation effort. Each option should address a clear need and be feasible within existing constraints.

Instead of creating a long list, we narrow down to the most relevant opportunities. This makes it easier to move forward with clarity, confidence, and a stronger chance of real impact.

E
Execution planning

We prioritize the selected use cases based on value, effort, readiness, trust, and risk. This helps define what should be tested first, what needs preparation, and what can follow later.

The result is a clear plan for how to validate and implement the chosen initiatives, including next steps, dependencies, and a realistic path from pilot to operational value.

Outcomes
Turn AI potential into clear, actionable outcomes
Understand where AI fits, identify where it creates real value, and move forward with a clearer basis for prioritization and execution.
Clear AI priorities

A focused set of use cases worth pursuing, supported by a clearer understanding of business value, feasibility, and where AI genuinely fits your operations.

Faster path to execution

A defined starting point with clear next steps, reducing time from idea to validation and creating a stronger path from pilot to real business value.

Stronger data and readiness insight

Clear visibility into data gaps, system limitations, ownership, and governance needs, making it easier to prepare for implementation and scale with fewer surprises.

More confident investment decisions

A solid foundation for choosing what to build now, what to prepare for later, and what to avoid altogether, reducing wasted time and budget on low-value AI initiatives.

Adapted to your needs
AI opportunity discovery can be delivered as a custom workshop designed around your business, or as ongoing advisory support. All services are available in Swedish and English.
Workshop

A focused, fixed-price workshop designed to quickly understand your business, identify where AI fits, and define a small set of high-impact use cases worth exploring.

Ongoing engagement

Continuous advisory support to help you evaluate opportunities, refine use cases, and move from ideas to implementation tied to clear ROI goals .

Put AI to work
Put AI to work