AI Strategy & Consulting
Grapefruit's AI consulting helps leadership teams decide where AI is worth funding. We find and rank use cases by value, effort, data readiness and EU AI Act risk, build the business case for the top ones, and turn them into a 90-day roadmap with owners, so pilots lead to production instead of stalling.
Use cases found through stakeholder interviews and process mapping, ranked by value, effort and risk.
What data the top use cases need, what you already have, and what must be fixed first.
Each use case mapped to AI Act risk levels and transparency duties, so compliance is designed in rather than retrofitted.
Costs, benefits and assumptions for the top use cases, in a form finance and procurement can review.
Sequenced initiatives with owners, decision gates, an AI usage policy outline and AI literacy steps for staff.
Our method
Stakeholder interviews, process mapping, data readiness and AI Act classification. Ends with a ranked backlog and a business case for the top 3.
The top use case is proven on your own data in a prototype sprint, measured against metrics agreed up front.
Use cases that pass the gate move to production, with governance, documentation and training for the teams involved.
Quarterly portfolio reviews: what is working, what to retire, and which use case to fund next.
Proof
We have not published a client case study for this capability yet. Here is the AI work we have shipped and can walk you through on a call.
Ways to start
What AI can realistically do in your industry this year, with examples from companies like yours.
See where your company stands on AI in 10 minutes, and what to fix first.
Find the 3 AI use cases worth funding in your business, with the numbers to defend them.
Align business, IT and legal on what to build first, in one focused session.
A 12 to 24-month plan your board can fund.
Industries
FAQ
Rank them on the same four criteria: business value, effort, data readiness and risk. The best first use case is usually valuable, narrow, and runs on data you already have, such as documents or tickets. The AI Opportunity Scan does this ranking with your stakeholders in 2 weeks.
Usually because nobody agreed how success would be measured, the data was not ready, security and legal were involved too late, or there was no owner for running it after launch. Our method puts metrics, data checks and governance at the start, with go/no-go gates between steps.
No. We classify use cases against the AI Act risk levels and design transparency and human oversight into what we build. Article 50 transparency duties have applied since 2 August 2026, and high-risk obligations are expected from 2 December 2027 under the Digital Omnibus. Your legal counsel should confirm formal positions.
No. We are model-agnostic and recommend models and platforms per use case, based on accuracy, cost, data residency and your existing cloud. That keeps our advice independent of any licence we might resell.
Consulting starts with fixed-scope steps, so you know the fee before we start. The main drivers are the number of business units, interviews and use cases in scope. A 2-week Opportunity Scan is the usual starting point, and we confirm its fee after a 30-minute call.
Yes. AI literacy for the staff who use AI systems has been an obligation under Article 4 of the AI Act since February 2025. We run practical sessions for leadership, marketing, digital and customer teams based on the tools and use cases they actually have.
Related
Find the 3 AI use cases worth funding in your business, with the numbers to defend them. 2 weeks, fixed scope, no obligation to continue.
We reply within 1 business day, usually the same day. Not ready to talk? Take the free AI assessment.
