Strategic AI consulting
We identify integration opportunities, assess your technological maturity and build a tailored adoption strategy to maximize return on investment.
AI integration for operations
Useful AI agents, integrated into real work.
AI agents integrated into your operations, not just added to your tools.
AI becomes useful when it connects to your real workflows.
Services
From strategy to implementation, complete AI support.
AI roadmap design
We design a clear roadmap to guide your transformation: objectives, key milestones and performance indicators to secure your AI initiatives.
Team coaching
We coach your teams to build the skills needed for successful AI projects, fostering a culture of innovation and continuous learning.
Implementation support
We support you from technology selection to integration with your existing systems, for a smooth and controlled transition.
Agent examples
AI assistants organized by business process.
The first useful agents are specialized. They attach to a specific process, with clear data, boundaries and human validation.
Client meeting preparation
Summarizes exchanges, CRM notes, open opportunities and the next questions to ask.
Possible ROI: less preparation time and stronger commercial follow-ups.
Incoming request qualification
Classifies requests, extracts context, proposes priority and drafts a response for validation.
Possible ROI: faster responses and fewer unnecessary escalations.
Internal policy navigation
Helps employees find the right information and escalates sensitive cases to HR.
Possible ROI: fewer repetitive questions and easier policy access.
Preliminary variance analysis
Flags changes to verify, prepares hypotheses and structures questions for the finance team.
Possible ROI: shorter review cycles and earlier anomaly detection.
Post-meeting follow-ups
Turns notes and transcripts into decisions, owners, deadlines and follow-up messages.
Possible ROI: fewer forgotten actions and stronger decision execution.
Weekly executive synthesis
Prepares a view of priorities, blockers, risks and decisions from authorized sources.
Possible ROI: faster trade-offs and better visibility on risks.
Method
A progressive path with measurement and continuous improvement.
- DiagnosticChoose the right process.
- DesignDefine the agents and their limits.
- IntegrationConnect AI to the real workflow.
- TrainingInstall the right habits.
- IterationMeasure, correct and expand.
Speaking
AI conferences for executive teams, managers and employees.
Nicolas Bonnafous speaks on AI adoption, AI agents, governance, productivity and the transformation of work in organizations.
FAQ
What leaders usually want to clarify before starting.
Do we need an AI strategy before starting?
No. A useful starting point is to identify a concrete process where time is lost, work is repeated or information is hard to find.
How much autonomy should an AI agent have?
Start with assistance, recommendations and preparation. Sensitive actions should remain under human validation.
What data should not go into public AI tools?
Sensitive personal data, confidential client information, contracts, financial data, HR data, trade secrets and source code require approved tools and controls.
Next step
Book a diagnostic call.
We will clarify your processes, friction points and where AI agents could create a concrete effect in the next few weeks.