From AI Caution To Leadership
In partnership with Templay
When the AI boom hit full stride, Laurent Ledoux of Equis and Yannick Bollati of Templay kept noticing the same split-screen:
In the U.S., leadership teams treated AI as a growth engine—reimagining products, processes, and business models.
In much of Europe, across small businesses and large organizations alike, public or private, too many executives viewed AI as a threat to be contained—or as something to "experiment with later."
After 15 years of knowing and challenging each other, Laurent and Yannick decided to act: combine their strengths to help European organizations turn AI from anxiety into advantage.
Their partnership is deliberately pragmatic:
Yannick brings a builder's mindset—mapping high-friction workflows, capturing the few digital processes that create most of the value, and turning expert know-how into AI playbooks the teams actually use.
Laurent brings a collaborative governance’s mindset which helps to anchor the cultural shift of “AI Strategic Pilot Projects” : making informal know-how explicit, creating the transparency people need to trust each other—and to trust the copilots working alongside them.
The results are actionable and stick:
Clients move past demo theater and into outcomes, armed with a shared digital backbone that keeps getting smarter each quarter.
Clients start where value is provable—customer experience, sales enablement, operations—and pair it with leadership rituals that stick.
Here are a few, non-exhaustive, examples of the services Templay & Equis can provide:
AI Readiness Assessment & Strategic Roadmapping: Diagnose where AI can create genuine value in your organization—not where vendors tell you it should.
Custom AI Copilot Development & Deployment: Move beyond generic ChatGPT experiments to bespoke AI systems that respect your security boundaries and deliver measurable business outcomes.
AI Governance & Risk Management Frameworks: Design decision-making structures that enable AI innovation while managing legal, ethical, reputational, and operational risks.
Knowledge Codification & Organizational Learning Systems: Transform informal expertise into structured knowledge that AI can leverage while humans retain ownership.
AI Strategy for Mission-Driven Organizations: Maintain values while improving efficiency, serve vulnerable populations without algorithmic harm, and demonstrate public benefit in automation decisions.
Executive Coaching for AI Leadership: One-on-one guidance for leaders navigating the personal and strategic challenges of AI adoption.
Our approach:
Beyond Demo Theater to Delivered Outcomes
-
We don't begin with "AI strategy" as abstraction. We identify the specific workflows—customer experience, sales enablement, operations—where AI delivers measurable ROI in your first quarter.
-
Yannick ships working systems; Laurent installs the decision forums, KPIs tracking impact and risk, peer learning sessions, and psychological safety protocols that make adoption stick.
-
We don't create consulting annuities. We transfer skills—training your teams to prompt effectively, evaluate AI outputs critically, iterate independently—so you own the capability.
-
We right-size ambition to your change capacity—fast enough to capture opportunity before competitors, deliberate enough to build genuine organizational buy-in and capability.
-
We reject false choices between innovation and integrity, efficiency and equity, speed and safety. Our frameworks help you move fast with values intact.
Example: AI Strategic roadmapping in 4 steps
-
Step 1: Workflow Value Mapping
Yannick identifies the 20% of processes creating 80% of friction—customer onboarding bottlenecks, sales proposal generation cycles, compliance documentation burden—where AI delivers measurable ROI, not just efficiency theater.
-
Step 2. Tacit Knowledge Audit
Laurent facilitates sessions surfacing the informal expertise that makes your organization actually work—the judgment calls, the pattern recognition, the relationship intelligence—assessing what can be codified, what requires human oversight, and what creates competitive advantage when augmented.
-
Step 3. Governance Design for AI Adoption
Drawing on Laurent's experience implementing participatory governance across 15+ organizations, we design decision frameworks addressing: Who decides which AI use cases proceed? How do we balance innovation speed with risk management? How do we ensure front-line expertise shapes AI deployment, not just IT mandates?
-
Step 4: Technology Stack Assessment
Yannick evaluates your current infrastructure, security requirements, and talent capabilities to recommend whether to build on OpenAI, Anthropic, Google, Mistral, open-source models, or hybrid approaches—optimizing for your risk tolerance, budget constraints, and strategic control needs.
Why Equis + Templay?
European leaders don't lack talent—they lack a credible, de-risked path to move fast with integrity. Too many consultancies sell strategy decks without shipping code. Too many technology firms deploy systems without building organizational capability. Too many AI initiatives stall between pilot and production because leadership rituals don't match technological ambition.
We provide the missing integration: Yannick's builder mindset (mapping workflows, capturing expertise, assembling bespoke copilots) welded to Laurent's transformation leadership (governance rituals, change management, capability building). Strategy and execution. Technology and culture. Innovation and integrity.
Fewer slide decks, more shipped workflows. Fewer fears, more proof. If you're ready to treat AI as an opportunity—not just a compliance topic—let's explore what the first meaningful step looks like for you.