MISSION & DATA AI SOLUTION BUSINESS
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AI consulting · Automation · Data

AI for your business.
Practical solutions.

Mission & Data helps business leaders and their teams put artificial intelligence to work. We connect your data and tools to build AI agents, automate repetitive tasks and support decisions. Every project starts with an assessment of your workflows, data and constraints.

Start with a diagnostic → See our approach

Useful data. Teams that stay in control.

From assessment to rollout, Mission & Data builds AI copilots and automations around your processes, with measurable objectives and human approval for sensitive decisions.
The AI-native company

Bring AI into
your teams’ everyday work.

What is an AI-native company?

An AI-native company builds artificial intelligence into its work processes. It connects its knowledge, teams and tools to find information, prepare decisions and automate suitable tasks, with clear rules for data access and human approval.

People set the strategy. Each agent’s autonomy depends on the task, the sensitivity of the data and the controls agreed with your teams.

Strategic framework & rigour

AI consulting,
from assessment to rollout.

Three steps to scope a use case, test a solution with your data and support adoption. The scope and controls are agreed before deployment.

  1. Step 01

    AI readiness and data assessment

    We map your data sources, tasks and tools. The assessment compares use cases by value, feasibility and risk, then defines success criteria for the prototype.

    01
    Scoped initial audit
  2. AI models tailored to your business
    02
    Step 02

    AI agent design and prototyping

    We build a prototype connected to your sources and test answer quality. Where appropriate, retrieval-augmented generation (RAG) lets the AI look up information in your documents before answering.

  3. Step 03

    Integration and team training

    We integrate the solution with your tools and train users. Documentation, performance tracking and adjustments to operating rules support rollout and help your teams use the system.

    03
    Teams’ autonomy as the goal
Business outcomes

What AI can bring to your business.

The assessment sets priorities. Improvements are evaluated against a baseline for your processes, using indicators agreed with you.

02

Digital risk prevention

Clarify access to sensitive data, approvals and responsibilities before automating a task.

AccessSensitive dataApprovals
Built-in governance
Assess your digital risks
03

Budget optimisation

Automate management control, compare scenarios and cut spending thanks to better-consolidated data.

Spendingcost changes in the selected categories
Discuss your budget
04

Company visibility

Structure your content, understand your audience better and multiply useful touchpoints.

Audiencequalified visits and contact enquiries
Explore business visibility support
05

Workflow automation and time saved

Automate repetitive tasks so teams can refocus on decisions and customer relationships.

Time savedprocessing time measured before and after
Explore tasks you could automate
Strategy & security

Deploy AI while staying in control.

An AI copilot should be useful, understandable and controlled. We scope access rights, hosting and human approval around the sensitivity of your data. These choices are agreed during the assessment and tested before a workflow is automated.

Build your roadmap →
Executive copilotTrust framework
01
AI transformation strategyExplicit goals and responsibilities
Ready
02
Data protectionAccess, hosting and logging
Active
03
Cyber preventionControls before automation
Active
04
Human validationEscalation on sensitive decisions
Required
Local roots

Your AI consulting partner
in Cergy, France.

Mission & Data is based at La Turbine, 32 boulevard du Port, 95000 Cergy, in the Val-d’Oise area of France. We support businesses in France with AI, automation and projects that put their data to work.

Network & ecosystem

A company connected to its region.

01 Go to website ↗ 03 Go to website ↗ 04 Go to website ↗
Frequently asked questions

Your questions about an AI project.

Services, data, human oversight and budget: what to clarify before choosing your first use case.

What does Mission & Data do for businesses?

Mission & Data provides AI consulting and implementation support for businesses. Our approach covers workflow and data assessment, the design of AI agents and automations, then deployment, team training and performance tracking. The scope is built around the processes and constraints identified with your teams.

What is the difference between an AI copilot and an AI agent?

An AI copilot helps a person find information, summarise content or prepare an answer for review. An AI agent can carry out a sequence of actions in connected tools under defined rules. Its autonomy and human approval steps depend on the use case and the risks.

Which AI use case should we start with?

Start with a frequent, measurable and documented task: information retrieval, lead qualification, summarisation or reporting. The assessment compares its value, available data and risks before choosing a prototype. The aim is to test one specific use case before expanding the scope.

Do we need to move all our data to use AI?

No. A solution can connect to your existing sources and respect their access rights. Hosting and data transfers depend on data sensitivity and the use case. These decisions are scoped before the prototype; not all of your data needs to be used.

Can we keep a human in the loop?

Yes. A copilot can prepare an answer or recommendation for your team to review. An agent’s sensitive actions can also require approval. Rules, responsibilities and intervention thresholds are agreed before deployment and adjusted in response to testing. The level of autonomy depends on the task.

How do we measure the results of an AI project?

Measure the baseline first, then compare prototype results: processing time, error rate, answer quality and team adoption. We choose indicators with you according to the process being studied. An improvement claimed without a measurement is not a demonstrated result; the comparison needs a clearly defined scope.

How much does AI consulting and implementation cost?

Cost depends on the use case, data sources, connections to your tools and the level of control required. Training and ongoing support also affect the scope. An initial conversation helps clarify your needs before the engagement and its budget are defined.

First call · 30 minutes

Let’s identify the first use case really worth building.

Bring a process, a pain point or a dataset. You leave with a first reading of the opportunities and the points to watch.

Write to Mission & Data →