1-Day AI Sprint

Advisory — 1-Day AI Sprint

One day to find where AI really pays off.

For leadership teams with more AI ideas than results. You leave with decisions, not a list of use cases.

We start with

Team reality first.

How your teams really work, day to day. Not a technology looking for a problem.

You leave with

AI solution second.

The few AI workflows worth accelerating. Each with an owner and a GO / NO-GO.

The path to value

1 day to decide. 14 days to prove. Then we build.

  1. 01 · 1 day

    1-Day AI Sprint You start here

    Your team decides which workflows AI should accelerate.

    Standalone — can be booked on its own.

  2. 02 · 14 days

    Proof of Value

    With our technology partner, we prove the value on one priority workflow — with your data and your teams.

  3. 03 · Then

    Build & track

    If the value is proven, we build from A to Z and track the ROI of every workflow.

Launch your 1-Day AI Sprint

Tell us which team you have in mind. We reply within one business day with two slots for a 30-minute call.

Not ready yet?Read the white paper →

Paris · Casablanca · Riyadh

From Operational Reality to Board-Ready AI Decisions in 1 Day

Operational Truth First.
AI Investment Decisions Second.

1-Day Sprint Executive Outcomes
  • 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
Execution phase begins here
AUDIT & MAPPING STRATEGIC SCORING EXECUTION ROADMAP
1
Expose Operational Drag
  • Map core value streams & sources of operational drag
  • Surface manual bottlenecks, rework & hidden cost drivers
2
Prioritize by Financial Impact
  • Score initiatives by P&L upside, risk & feasibility
  • Select 2–3 initiatives with measurable business impact
  • Define success metrics, accountable owners & decision gates
ACCELERATE
Deployment & Scaling
(Post-Sprint Execution Phase)
  • Validate CAPEX, OPEX & expected P&L impact
  • Execute via structured deployment sprints (not workshops)
Implementation & scaling phase
1
Map operational drag
  • Map value streams, bottlenecks, rework & cost drivers
2
Score AI opportunities
  • Score initiatives by ROI, risk & feasibility
  • Select 2–3 execution-ready initiatives
  • Assign 1 accountable AI Owner per initiative
DEPLOY
Deployment sprints (implementation support)
(Optional – based on readiness & ambition)
  • 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

Our Consultants have led more than 50+ Workshops
with 99% Satisfaction Rate

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