AI adoption with defensible results.
We don't sell hype. We prepare the data, define the rules and build the agents that solve real processes — without failed pilots.
AI succeeds or fails depending on prepared data, known limits and clear operating rules.
Process diagnostic
Data preparation
Rules & governance
Agents in production
AI adoption is now a competitive advantage, not an option.
Companies that operate AI correctly gain productivity and keep their edge. Those that skip data preparation and governance are left with pilots that never reach production. The difference isn't the technology — it's the way of operating.
In January–February 2026, 43% of American workers were using generative AI at work, versus a 32% average in Europe — and the gap is widening. Almost the entire gap comes down to one thing: whether the company actively encourages its people to use AI and gives them the tools and the framework to do it.
Workers using generative AI at work (2026)
Source: Bick, Blandin, Deming, Fuchs-Schündeln & Jessen (2026), "Mind the Gap: AI Adoption in Europe and the US", CEPR DP 21337.
AI doesn't fail because it's weak.
It fails on dirty data, ignored limits and unmapped processes. We treat exactly these causes.
Incomplete or dirty data
We prepare and structure the data before any agent.
Ignored model limits
We design workflows with validations, rules and control points.
Unmapped process
We start with the process diagnostic, not with the technology.
Missing governance and audit
We define operating rules and leave a decision trail.
How we grow AI adoption at your company.
From strategy to agents in production, in five stages. Most clients start with the diagnostic and advance as trust and results grow.
AI adoption diagnostic
We map processes and assess data: where AI helps, where the ROI is, where the risk is.
See the serviceData preparation
We structure and clean the data so agents can use it.
See the serviceGovernance and operating rules
Methodologies and rules for using AI agents across the company.
See the serviceAgent design and implementation
We design, build and integrate agents on your processes.
See the serviceAdoption and scaling
Training, measurement and iteration, so adoption takes root.
See the serviceSolutions portfolio
We don't just advise. We build. These solutions are the proof that our methodology works in real regulated processes.
Compliance — importers
CBAM Manager
Demo availableAutomation for collecting, validating and preparing data required in CBAM processes.
- Supplier data collection
- Validation and emissions calculation
- Quarterly report preparation
EUDR Manager
Demo availableSupport for EUDR processes, document traceability and organizing compliance data.
- Supply chain traceability
- Compliance document validation
- Data organization and centralization
Public procurement — contracting authorities
ePaap
Demo availablePlatform for public institutions dedicated to managing the workflow of completing and validating procurement documents, building acquisition files, collecting needs and generating / updating PAAP.
- Document completion and validation workflow
- Acquisition file with required documents
- Needs collection and PAAP generation
Public procurement — bidders
TenderCraft
Demo availableBid generation for public procurement procedures — design and/or execution. It extracts the requirements from the documentation and builds the bid.
- Requirement extraction from tender documentation
- Bid structuring based on requirements
- Technical proposal drafting
FindEquip
Demo availableSolution for economic operators participating in public procurement procedures who need to identify equipment compliant with requirements.
- Equipment search by technical specifications
- Option filtering and comparison
- AI-generated compliance arguments
Internal operations
Retail Reconciliation
Demo availableAutomation for internal document reconciliation and exception handling.
- Configurable matching rules
- Exception handling and escalation
- Decision journal and audit trail
Why AI adoption with us is defensible.
ISO/IEC 42001 expertise
Applied knowledge of the AI management system standard's requirements.
Harvard training
AI Strategy for Business Leaders: From Hype to Impact — Harvard program on AI strategy and adoption.
Regulated processes
Experience with regulated processes: CBAM, EUDR, public procurement.
Let's map the process you want to automate.
We start with your process, documents and data. From there we define the strategy, the rules and the implementation steps.
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