AI Opportunity Discovery

Discover, assess, and prioritize AI opportunities — and create a plan for how to move the strongest ones forward.

AI Opportunity Discovery answers two questions: where can AI create value in the business — and which of it is worth taking forward?

The opportunities are mapped and assessed — the result is a clear priority order along with well-defined use cases.

When opportunity discovery is useful

The work delivers well-defined opportunities in a clear priority order. It can be useful when:

You want to know where AI could create value in the business, but the opportunities are not yet on paper.
Ideas are many and scattered — and leadership needs a shared view of which deserve attention.
One business area faces a clear challenge and wants to know whether — and how — AI can help.
The AI strategy is in place, and selected areas of focus need to be translated into use cases and solutions.

How opportunities are developed

We begin by exploring where AI could improve work, support better decisions, create new capabilities, or enable new products and services.

The use cases are assessed and prioritized against the company's goals — looking at value, feasibility, data readiness, and risk.

A well-defined use case clarifies
The business opportunity or problem
The people and workflows involved
The role AI would play
The expected value
The main requirements, risks, and dependencies

From possibilities to a path forward

01
Explore the opportunities

Where AI could improve work, support better decisions, create new capabilities, or enable new products and services.

02
Develop use cases

The strongest opportunities are shaped into clear use cases: what they should deliver and how the value will be measured.

03
Assess and prioritize

Use cases are compared on value, feasibility, and risk.

04
Prepare for implementation

For the selected opportunities, we outline what the solution could look like and what it takes to put it into practice — requirements, dependencies, ownership, and decisions.

You leave with:

The findings are brought together in a document leadership can work with:

The outcome
01A complete picture of the organization's opportunities with AI
02A set of well-defined use cases — what each should deliver and how the value will be measured
03A prioritized portfolio — what to pursue first, what to explore later, and what not to progress
04A worked-out solution for each selected opportunity — and clear next steps

Where is the best place to start?

AI Opportunity Discovery can begin as soon as the objectives and scope are clear. AI Strategy is the better starting point when leadership first needs to decide what AI means for the organization.

The two engagements can also work together: AI Strategy sets the direction and decision principles; AI Opportunity Discovery applies them to concrete opportunities and use cases. Neither is automatically required before the other.

Moving toward implementation

The engagement develops selected opportunities far enough for leadership, internal teams, or specialist partners to make informed implementation decisions. Detailed architecture, engineering, integration, and production delivery remain with the organization's technical teams or implementation partners.

Anna Gardarsdottir

Start with a conversation.

Contact
Other ways to work with me AI Strategy → Readiness Assessment →