Service

AI API integration

ChatGPT, Claude, Gemini: the power of generative AI, integrated directly into your business tools. Automate what was impossible yesterday.

Trusted by individuals and teams

AI is powerful. But copy-pasting into ChatGPT isn't a strategy.

It works. But it's slow, tedious, and not scalable.

What if AI worked directly in your tools, without manual intervention?

You know the power of ChatGPT or Claude. Your teams probably already use them:

We connect Generative AI to your business processes

We integrate the APIs of the best AI models directly into your existing applications and workflows:

AI processes your data automatically, no copy-pasting

Results arrive where you need them

Your teams save hours every week

Tasks that were impossible to automate yesterday become trivial

An e-commerce store receives 200 customer reviews per week. Before: no one had time to read them all. Now: every review is automatically analyzed by Claude (sentiment, themes, suggestions), insights are aggregated in a dashboard, and negative reviews trigger an alert to customer service with a summary and suggested response. Zero human intervention for processing, 100% coverage.

What AI can do
in your tools

Content Generation

Automatic product descriptions Technical sheet in → sales-optimized SEO description out. For hundreds of products, automatically.

Personalized emails at scale AI writes personalized emails for each prospect based on their profile, industry, and history.

Social media posts A blog post is published → AI automatically generates LinkedIn, Twitter, and Instagram posts adapted to each platform.

Translation and localization Your content translated and culturally adapted into dozens of languages, automatically.

Data analysis and processing

Sentiment analysis Customer reviews, social mentions, support tickets: AI analyzes sentiment and categorizes automatically.

Information extraction CVs, invoices, contracts, emails: AI extracts key information and structures it in your database.

Automatic summarization Long documents, reports, meeting transcripts: AI produces actionable summaries in seconds.

Classification and tagging Support tickets, leads, documents: AI categorizes and tags automatically according to your criteria.

Assistance and productivity

Custom AI assistants An assistant that knows your internal documentation, processes, and products. Accessible to your teams via Slack, Teams, or a dedicated interface.

Writing assistance AI suggests, corrects, and rephrases directly in your teams’ tools (email, CRM, documents).

Intelligent search Your teams ask questions in natural language, AI finds answers in your knowledge base.

Report generation AI analyzes your data and automatically generates narrative reports, not just tables.

Advanced automation

Intelligent workflows Automations that make contextual decisions, not just rigid if/then rules.

Intelligent routing Tickets, leads, requests: AI analyzes content and routes to the right person or process.

Anomaly detection AI monitors your data and alerts when something unusual happens.

Prediction and scoring Lead scoring, churn prediction, timeline estimation: AI analyzes patterns in your data.

How we deliver your data

We connect AI to your existing tools

We work with the most powerful automation platforms on the market, chosen based on your needs and budget.

CRM and sales:

Communication:

Productivity:

E-commerce:

Customer support:

Marketing:

Documents:

Databases:

And much more... If the tool has an API, we can integrate it.

What you
actually gain

Impossible tasks become trivial

Analyzing 1,000 documents, personalizing 10,000 emails, categorizing thousands of tickets: what took weeks now happens in minutes.

Augmented teams

Your employees focus on strategy and creativity. AI handles repetitive execution.

Competitive advantage

While your competitors copy-paste into ChatGPT, you have AI infrastructure integrated into your processes.

Clear vsibility

Every action is tracked. You know exactly what's happening, when, and why.

Instant reactivity

Your leads are processed in seconds, not hours. Your clients receive their documents instantly. Everything speeds up.

Clear visibility

Every action is tracked. You know exactly what's happening, when, and why.

Consistent quality at scale

AI produces the same quality level on the 1st and 10,000th processing. No fatigue, no variation.

Hidden insights revealed

AI finds patterns in your data that no one had time to look for.

How we integrate AI into your tools

Step 1

Use case identification

We analyze your processes to identify where AI can have the most impact: time savings, quality, new capabilities.

Step 2

Model and architecture selection

We select the right model for each task and design the optimal technical architecture.

Step 3

Development and prompting

We develop the integrations and refine prompts to get the best possible results.

Step 4

Testing and validation

We test with real cases, measure output quality, and adjust until satisfied.

Step 5

Deployment

The integration goes into production, connected to your tools, ready to run.

Step 6

Continuous optimization

We monitor performance, identify possible improvements, and evolve the system.

Frequently asked questions

Couldn’t find what you were looking for? write to us at :

contact@lesage.digital

Is my data sent to OpenAI/Anthropic?

By default, yes — APIs process your data on their servers. For sensitive data, we can use privately hosted models or "zero data retention" options. We advise the best approach for your context.

Does AI make mistakes?

Yes, it happens. That's why we design systems with guardrails: human validation for critical tasks, verification rules, fallbacks when in doubt. The goal is to augment your teams, not blindly replace them.

Can i switch models later?

Yes. We design modular architectures. If a new, more performant or cheaper model comes out, we can switch without rebuilding everything.

How long to deploy an integration?

A simple integration takes 1-2 weeks. A more complex system with multiple use cases takes 4-8 weeks.

What if AI doesn't deliver expected results?

We always start with a testing phase on a real sample. If results aren't up to par, we adjust prompts, change models, or honestly tell you if the use case isn't suited for AI.