Build AI suited to your data and tools.

From scoping to prototyping and integration: business assistants, RAG, agents, automation and AI applications. Scope and validation criteria are agreed before development.

Explore my project

Quoted for your needs

The right solution for the work to be done

Proofs of concept and prototypes

Test an application idea within a limited scope. Define what must work, which examples to evaluate and the conditions to continue or stop.

Business assistants and RAG

Query a document collection instead of searching every file manually. RAG supplies sources for answers; relevance, permissions and accuracy still need testing.

Agents and automation

Organise steps and tools: read a document, prepare an action or connect applications. Sensitive actions can remain subject to human approval.

AI applications and integration

A business interface, APIs and a language model connected to your environment. MCP can standardise tool connections where useful; it does not replace permission management.

Data, access and hosting: make the choices explicit

Which data may be sent to a provider? Who can access documents? Where should the solution run? These questions shape the architecture. Security or sovereignty claims cannot replace checking the actual scope.

AI projects we actually build

Start with the need. Test. Build. Verify.

  1. Scope

    The task, users, data, tools and success criterion.

  2. Test

    A limited scope and representative examples before going further.

  3. Build

    The agreed solution and integrations, with their usage rules.

  4. Verify

    Operation, answers, access and adoption before expanding.

How long does an AI prototype take to build?

There is no universal timeframe. A prototype for one task with accessible data differs from a tool connected to several systems. IAfluence defines scope, access requirements, tests and the schedule before committing to a deadline.

There is no single price. Cost depends on scope, data, access and integrations. The first discussion defines what must be demonstrated before a quote is prepared.

Let’s discuss the work you want AI to help with.

Your context, what you have tried and what you want to test: start with a free 30-minute conversation.