BUSINESS ADVISORY & ACCELERATION · PARIS

Your teams are trying AI. We make it operational.

Higher revenue, happier customers, lower costs, more effective people: AI can deliver all of it. Yet pilots succeed and margin stays flat. What is missing are executive decisions: what to do with freed-up capacity, which jobs to redesign, which rules to set. Winglet steers that transition with executive teams and business leaders.

Book a 30-minute conversation Read our conviction
95 % of generative AI pilots show no measurable P&L impact (MIT NANDA, 2025)
18 % of executives achieve most of their AI transformation goals (Bain, 2026)
90 days our horizon from an executive committee decision to a first measured gain
1 metric from the P&L, set before any tool is chosen and tracked through to production

Two measurements of the same fact: technology is not the bottleneck. Turning time saved into business gained is.

OUR CONVICTION

The question is no longer whether to adopt AI. It is deciding what it will change for you, and embedding it at the heart of your value chains.

When the cost of knowledge work falls, productivity is only the surface. What really shifts is how value is shared: between your functions, between you and your customers, between you and your competitors.

Most companies keep piling up pilots. Few decide what to do with the capacity they free up: lower their costs, serve more customers, change their offer or their pricing. Without that decision, AI remains a tooling topic.

Our role is to help you make those decisions at the right level, then make them stick across the organisation: processes, roles, skills, governance. Until the result shows in your numbers.

EXECUTIVE DECISIONS / 04

What AI forces an executive committee to decide.

None of these decisions can be delegated.

  1. 01

    Where is value created?

    Which processes see their unit cost collapse, which become a competitive edge, which come under threat.

  2. 02

    What to do with freed-up capacity?

    Cut, reallocate or grow: an executive decision, not a side effect of projects.

  3. 03

    How do jobs evolve?

    Roles, skills, management, hiring and employee relations: the organisation of work is being redrawn.

  4. 04

    How do you stay in control?

    Governance, data security, EU AI Act compliance, vendor dependency, reversibility.

WHAT WE DO

Three levels of engagement, one trajectory.

01 · Executive team

Strategic framing

Measure what AI changes in your business model and decide, with your executive committee, where to accelerate first.

  • Impact map by process and by function
  • Business case quantified lever by lever
  • Three priority initiatives agreed by the executive committee
  • 90-day roadmap and governance rules

Format: a first day of hands-on workshops

02 · Business functions

Functional deployment

Embed AI in a business function and redesign the work around it, through to real adoption measured on your KPIs.

  • AI harness: tools, agents, rules, security, roles
  • Redesigned processes and responsibilities
  • Change management and upskilling
  • Gains measured in production

IT, sales, marketing, customer relations, finance, HR, after-sales, operations

03 · Business teams

Product Builders

An AI-augmented builder scopes the need with your teams, builds the solution, takes it into production and keeps it evolving.

  • Needs scoped with users
  • Built in short increments
  • Secure production release
  • Ongoing maintenance and enhancements

Priced per delivered solution, then a maintenance subscription

Our principles, non-negotiable.

01

A metric before a tool

Every initiative starts from a line in the P&L. Never from a technology looking for a use.

02

Governance from day one

Data, security, compliance and accountability are set up front, not after the first incident.

03

Results are measured in production

A successful pilot is not a result. We stay until the gain shows in usage and in the numbers.

OUR APPROACH
Weeks 1 to 3 Immersion

Understand the business before talking AI

Leadership interviews, field observation, analysis of the data and of real pain points. Choice of the reference metric and measurement of its baseline.

Weeks 4 to 8 Prototype and pilot

Test fast, on a real scope

Short increments tested by users, governance rules applied from the pilot onwards, an explicit go or no-go decision on scaling.

Up to 90 days Go-live

Industrialise, measure, hand over

Production release, gain measured against the baseline metric, handover to your internal teams. You stay in control of what has been built.

Why Winglet.

On a hydrofoil as on an aircraft wing, lift comes from the wing. Stability comes from the winglet, the small piece at its tip that keeps you from stalling. AI gives companies a new kind of speed. Our job is to bring the stability that lets you sustain it.

Let's spend 30 minutes on what AI changes in your business.

Book a meeting contact@wingletpartners.com