1-Day AI Sprint
Advisory — 1-Day AI Sprint
From operational reality
to board-ready AI decisions.
One working day with your team. Not a workshop, not an ideation session. A structured audit of how the work is actually done, scored against financial impact, and closed with two or three initiatives your board can fund.
Team reality first. AI solution second.
Why most AI programmes stall before the P&L
The common failure is not technical. Organisations select a technology, then look for a problem it might solve. Pilots multiply, adoption stays shallow, and nobody can attribute a euro of impact.
We invert the sequence. Before any discussion of models, agents or copilots, we map how a specific team creates value: what it does, how often, at what cost in effort, and what moves through each step. Technology is selected afterwards — and only where it earns its place.
What one day produces
-
10–20
Material operational inefficiencies mapped, quantified and ranked.
-
5–8
AI and automation opportunities scored on impact, feasibility and risk.
-
2–3
Execution roadmaps tied to a defined P&L or capacity effect.
-
1
Accountable owner named inside the business for each initiative.
The method
Three movements across a single day, from the widest view of the team's work to a short list of decisions with names attached.
-
Phase 1
Map the team reality
We break the function into its five to ten macro-activities, then decompose those into the tasks people actually perform — typically 100 or more. Each task is qualified by frequency and effort, and described as inputs, transformation and expected output.
Output — a complete operating picture of the team, in the team's own words.
-
Phase 2
Score by financial impact
Tasks are scored on concentration of effort, business criticality and technological feasibility, including whether the capability already sits inside your existing licences and platforms. High-scoring tasks are then reassembled into coherent end-to-end workflows rather than isolated features.
Output — a ranked shortlist, with the reasoning behind every position.
-
Phase 3
Close on an execution roadmap
For each retained workflow we fix the target solution, the CAPEX and OPEX envelope, the success metric, the decision gate and the internal owner. The day ends with a GO or NO-GO on each initiative, not with a list of ideas to be reviewed later.
Output — a sequenced roadmap that survives contact with a steering committee.
The funnel
Granularity is what makes prioritisation credible
macro-activities that describe the function
tasks and sub-tasks, scored on frequency and effort
workflows where technology creates disproportionate value
Ten generic use cases can be produced in an afternoon by anyone. Understanding a hundred real tasks is what tells you which three are worth funding.
How the day runs
Indicative sequence. Adapted to the function, its calendar and the seniority in the room.
- Opening
Framing with the sponsor: scope, constraints, what a good decision looks like at 17:00.
- Morning
Macro-activity mapping with the team, then task-level decomposition in working groups.
- Midday
Frequency and effort scoring. Identification of where the hours actually sit.
- Afternoon
Input–transformation–output analysis on the shortlisted tasks. Technology feasibility review against your existing stack.
- Late afternoon
Workflow reconstruction, prioritisation, owner assignment and cost envelope.
- Close
Readout to the sponsor. GO / NO-GO per initiative and first execution milestone scheduled.
How we hold ourselves to account
Decisioned
Share of identified initiatives leaving the day with a clear GO or NO-GO, an owner and a success metric.
Quantified
Share of prioritised initiatives carrying a financial impact — revenue, cost or risk — and a CAPEX/OPEX range.
Attributed
Share of approved initiatives with a named accountable owner, a timeline and a first execution milestone.
Who it is for
- A CEO, COO or functional executive accountable for a P&L or a cost base.
- A CIO, CTO or Chief AI Officer holding more candidate use cases than execution capacity.
- A team of 15 to 500 people in HR, Finance, Procurement, Operations, Legal, Sales or Engineering.
- An organisation that has run pilots and now needs attribution, not more experimentation.
What we ask of you
- One executive sponsor present at the opening and the closing readout.
- Six to twelve people who do the work, not only those who manage it.
- Visibility on the tooling already licensed and on the constraints that are non-negotiable.
- The authority in the room to say no on the day.
White paper — PDF, 10 pages
Team Reality First. AI Solution Second.
The full reasoning behind the Sprint: how the mapping is built, how tasks are scored, how workflows are reconstructed, and why the use case owner sits inside the business rather than in the AI team.
Read the white paperRequest the 1-Day AI Sprint brief
Tell us which function you have in mind. We send the detailed brief — scope, preparation, deliverables and terms — and propose a 30-minute call to confirm whether the Sprint is the right instrument for your situation.
Paris · Casablanca · Riyadh
Request received
We will come back to you within one business day with the brief and two proposed slots.
From Operational Reality to Board-Ready AI Decisions in 1 Day
Operational Truth First.
AI Investment Decisions Second.
- 10–20 material operational inefficiencies mapped & prioritized
- 5–8 AI investment opportunities scored by ROI, risk & feasibility
- 2–3 board-ready execution roadmaps tied to P&L impact
- 1 accountable AI Owner assigned per initiative
- Map core value streams & sources of operational drag
- Surface manual bottlenecks, rework & hidden cost drivers
- Score initiatives by P&L upside, risk & feasibility
- Select 2–3 initiatives with measurable business impact
- Define success metrics, accountable owners & decision gates
- Validate CAPEX, OPEX & expected P&L impact
- Execute via structured deployment sprints (not workshops)
- Map value streams, bottlenecks, rework & cost drivers
- Score initiatives by ROI, risk & feasibility
- Select 2–3 execution-ready initiatives
- Assign 1 accountable AI Owner per initiative
- Validate CAPEX/OPEX and expected P&L impact
- Execute step-by-step with internal / external resources
≥ 90% decisioned
% of identified initiatives that exit the sprint with a clear GO / NO-GO decision, owner, and success metric.
100% shortlisted
% of prioritized initiatives with quantified financial impact (revenue, cost, or risk) and CAPEX/OPEX range.
100% attributed
% of approved initiatives with a named accountable owner, timeline, and first execution milestone scheduled.
From AI Ambition to Measurable P&L Decisions, in 1 Day
We cut through AI noise to isolate where automation materially impacts your P&L.
In one day, we surface your highest-cost operational bottlenecks, score AI initiatives by ROI and execution risk, and deliver a board-ready roadmap your teams can actually execute.
Team-Specific AI Workshop
We start from your team’s real work and challenges — before introducing AI solutions.
1 - Analysis of Activities & Tasks
Understand how the team really works — activities, pain points, constraints.
Through our workshops, 20% of the identified tasks can be accelerated through non-AI technologies (e.g., RPA)
2 - AI & Business Assessment
Assess where AI truly makes sense based on team needs and business impact :
-
AI Potential
-
Business Value
3 - Selection of Priority Use Cases
Focus on the few use cases that create immediate and tangible value.
4 - Nomination of “AI Champions”
Appoint accountable internal leads to anchor AI within the team
5 - Concrete Action Plan
From team insights to execution-ready initiatives.
Supporting the AI Champions to execute their use cases with our Tech Partners.
The North Star AI Workshop
Define a strategic AI vision at the organizational level.
1 - Strategic Priorities
Align AI with the overall business strategy
2 - AI Value Drivers
Identify the most powerful impact levers
-
Efficiency
-
Growth
-
Differentiation
3 - AI North Star
Establish a prioritized roadmap.
Outcome :
-
Strategic Vision
-
AI Priorities
-
Red Lines
(what not to do) : De-Risking with our cross-industry Advisors
Strategic Vision
AI Priorities
Red Lines
(what not to do) : De-Risking with our cross-industry Advisors
Our Consultants have led more than 50+ Workshops
with 99% Satisfaction Rate
