Look for profit pockets
Systematically examine costs, friction, risks, bottlenecks and untapped revenue.
Identify AI use cases
Identify AI use cases that deliver business value.
The search starts with profit pockets: costs, bottlenecks, risks and untapped revenue that current AI capabilities can measurably change.
The real task
A good use case describes a valuable problem, a measurable outcome and a realistic connection to the technology.
Connect top-down and bottom-up
Existing processes provide quick wins. Outcome-driven discovery ensures that opportunities go beyond small optimizations.
Be prepared to stop early
The problem is too small, AI is unnecessary, data requirements are disproportionate or adoption is unlikely: good discovery filters rigorously.
What you receive
AI Opportunity Sprint
Identify, assess and develop the most relevant, practical AI opportunities to support decisions.
Top 10 Opportunities
Prioritized opportunities with a transparent value rationale, a business owner and a clearly defined outcome.
Value Logic & Scoring
Make expected impact, feasibility, risk, data availability and organizational prerequisites comparable.
5 Solution Concepts
For the most valuable opportunities, define the target state, users, AI capabilities, system boundaries and validation approach.
Recommended First Moves
A clear recommendation on which opportunities to validate, explore further, buy, build in-house or stop.
Case Studies
More business value. Fewer ideas.
Automotive industry · Opportunity Discovery
> $400,000Business potential from relevant AI opportunities, identified and assessed in a one-day working session.
Media company · Portfolio
270 → 7AI-suitable ideas were distilled into seven priority opportunities with more than $1 million in combined annual potential.
Choose the AI Opportunity Sprint when
- You want to know where AI can actually generate revenue, save money or reduce significant risks
- A workshop produced many ideas but no well-founded selection
- You need prioritized opportunities for budget or portfolio decisions
- Business and technology teams need a shared view of how to assess opportunities
What you will have afterward
- Identified AI opportunities with a transparent value rationale
- A prioritized shortlist instead of an unstructured list of ideas
- Decision-ready opportunities for budget and portfolio planning
- A shared evaluation model for business and technology
Our methodology
Proven frameworks for AI opportunities with business value.
Profit Pockets
Finds costs, bottlenecks, risks and untapped revenue with meaningful improvement potential.
Outcome-Driven AI Discovery
Starts with a valuable outcome and derives suitable AI opportunities from it.
10K Threshold
Filters out ideas whose expected contribution falls below the minimum impact.
Outputs vs. Outcomes
Translates AI outputs into the business outcome they are meant to change.
Use Case Factsheet
Brings together the outcome, users, data, solution concept, risks and prerequisites to support a decision.
AI Capabilities × Needs
Matches current AI capabilities to actual business requirements.
Frequently asked questions
Quick answers.
How many ideas will we get?
The search is broad enough to avoid overlooking relevant opportunities. The result focuses on the options with the strongest balance of impact, feasibility and risk.
Do our processes need to be documented already?
Existing documentation speeds up the work. Relevant process and outcome information can also be gathered in a focused way during the sprint.
What happens to the best opportunity?
Simple, scoped opportunities can be validated or implemented directly. More complex initiatives are broken into phases, requirements and decisions in the Roadmapping Sprint.
Get in touch
Identify the AI opportunities with the strongest value rationale.
Briefly describe the business area, key outcomes and current ideas. We will recommend the right scope for discovery.