ChatGPT and LLM integration
Smart chat, content generation and customer support, right inside your apps.
Artificial intelligence
AI plugged in exactly where it saves you time.
Internal assistants, request triage and summaries, content generation, data analysis: I integrate AI into your existing tools or your app, while keeping your data under control.
- 2 to 8 weeks
- Prototype before rollout
- Team trained
Book a 30-minute call from $2,300 (€2,000)excl. VAT
In short
AI integration means connecting artificial intelligence models (ChatGPT, Claude, Mistral…) to your tools and your data to automate specific tasks: triaging requests, summarizing documents, drafting replies, analyzing figures. I always start with a one-week audit and a prototype, from $2,300 (€2,000)excl. VAT, with human approval kept in the loop.
What AI can do for you
Automation
Repetitive tasks taken care of: sorting, filing, follow-ups, data entry.
Data analysis
Summaries, alerts and recommendations based on your own data.
Business assistant
An assistant that knows your procedures, your offers and your vocabulary.
Who is it for?
Teams drowning in requests
Emails, forms, tickets: AI sorts, summarizes and prepares a reply that you approve.
Document-heavy businesses
Procedures, contracts, product sheets: an internal assistant finds the right information in seconds.
Managers who want clarity
Automatic summaries and alerts from your figures, without rebuilding a pivot table every week.
Those who don’t know where to start
The audit pinpoints the two or three use cases that really pay off, before you invest.
What’s included
Included
- Use-case audit and roadmap
- Prototype your team can test
- Choice of model and provider (with you)
- Integration into your tools or your app
- Safeguards: human approval, limiting the data sent
- Team training and adjustments
Optional or not included
- AI provider API costs (billed by usage, often a few euros to a few tens of euros a month)
- Training a proprietary model
- Maintenance after the follow-up phase
Technologies: OpenAI · Anthropic · Mistral · Supabase · Node.js
Real example
O’GYM’s AI coach
In O’GYM, an AI coach supports members and sessions adapt to their goals, alongside the club’s human coaches.
See the project →
How we work
- 011 week
AI audit
Identifying the tasks where AI brings a real gain.
- AI roadmap
- 022 to 3 weeks
Prototype
A first priority use case your team can test.
- Working demo
- 034 to 8 weeks
Development
Full integration into your tools and systems.
- Solution deployed
- 04Ongoing
Training and follow-up
Handover to your team and adjustments as usage evolves.
- Self-sufficient team
Further reading
Frequently asked questions
Where do I start with AI?
With the audit: one week to identify the two or three tasks where AI saves the most time, then a prototype on the most promising one before going further.
How much does AI integration cost?
From $2,300 (€2,000)excl. VAT for a first use case. On top of that comes the usage cost of the AI providers' APIs, usually modest for a small business and billed directly by the provider.
What happens to my data?
Only the necessary data is sent, through professional APIs. The choice of provider and privacy settings is made with you, taking GDPR into account.
Can AI make mistakes?
Yes, which is why I keep human approval on important decisions and limit AI to tasks where a mistake is easy to spot and fix.
Do I need a custom app to use AI?
No. AI can plug into your existing tools (email, CRM, spreadsheets). A dedicated app becomes worthwhile when usage becomes widespread.
Which AI model do you use?
Whichever suits the use case: models from OpenAI, Anthropic or Mistral, depending on quality, cost and data location requirements.
Let’s talk about your project.
30 minutes to review what you need. Free, no commitment.