Agilis embeds a senior engineer in your teams. They learn your business, work in your codebase under your rules, and carry the work through to production. The code, the tests and the tooling stay with you.
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AgilisMap of engagements
Contour lines and hillshading, lit from the northwest
Where are you starting from?
Anthropic and Mistral AI have forward deployed engineers: engineers who work with their customers' teams to put AI applications into production, built on their employer's models. Agilis applies this way of working to your projects without being tied to any vendor. It deploys the AI model that best fits your need, your sovereignty constraints and your budget.
A contract developer also works on your premises. So what is the difference?
A contract developer works through the tasks you assign and is billed by the day. A forward deployed engineer starts from a business problem. They watch how users work, propose what to build, build it with your teams and put it into production. They answer for the result, not for the time spent.
| Criterion | Contract developer | Consulting firm | Fixed-price IT services firm | Forward deployed engineer |
|---|---|---|---|---|
| Starting point | The tasks you assign | A question from management | A specification written upfront | A business problem, observed with the users |
| Who decides what to build | You | You, based on its recommendations | The specification, fixed before work starts | You and the engineer, based on what they observe in the field |
| Where the work happens | On your premises, directed by your teams | In interviews and workshops, then at the firm | In the supplier's team | In your repository, with your developers and your users |
| What you get | Development time, billed by the day | A report and recommendations, delivery comes later | A deliverable that matches the specification | Software in production, and a record of the decisions behind it |
Agilis works with IT departments, domain experts and founders, owners of small and medium-sized businesses, startups, software vendors and mid-sized companies. Each profile has its own starting point. If you recognise yourself in one of them, a first 30-minute call is enough to check.
Start: legacy application
Start: prototype
Start: business tasks
Start: technical leadership
Your situation isn't on this list? Book a 30-minute call to talk it through.
The starting point depends on your situation. In every case, the engagement ends when your team can carry on alone.
Agilis sets up an agentic software factory: AI agents rewrite the code module by module, checked by tests built from the current behaviour. A human reviews the code and makes the calls.
Format: a few weeks of scoping with a costed plan, then replacement module by module.
Architecture, security, data, hosting, continuous integration and deployment, monitoring, backups. Your team learns as the work happens.
Format: fixed-price assessment, then production rollout priced per project.
The starting point is how your teams actually work: prospecting and follow-ups, handling calls and messages, task tracking.
Format: fixed price per automated process.
Settle architecture choices, evolve the product and oversee operations, without hiring a full-time CTO.
Format: monthly subscription, from 4 days a month.
All four routes follow the same steps. The work happens with your teams, in your code, and every decision stays visible to you.
Time with the people who use the system and those who maintain it, and a survey of what exists as it really is: code, data, tools, constraints.
You receive a prioritised, costed plan. You decide what comes next knowing the cost and the steps.
Dedicated branch, pull requests, reviews with your teams. The code is structured so AI agents write it right: modules with clear boundaries, tests that act as a contract, continuous integration that blocks whatever fails. Every change is reviewed.
Gradual rollout, monitoring, documentation. Your team takes over with the tests and tooling in place.
Agilis delivers the software, and also the system that produces it: tests, continuous integration, architecture rules, configured agents. Everything stays in your name, along with the code, the hosting accounts and the data. Your team keeps using it after the engagement.
Before the first line of code, the AI models allowed to read the code and where they are hosted are chosen with your CISO. The agents' permissions, their data access and their isolation are defined at the same time. The real data used for testing stays in your environment.
A software consulting and engineering company based in the Paris region. Every engagement follows the same landmarks, like the legend of a map.
Legend
The same engineer from scoping to production, with no handoff between a pre-sales team and a delivery team.
The work starts from your system as it is, with its constraints, its data and its history.
Security, budget, governance: they shape the terrain and guide every technical choice.
Agilis is not tied to any vendor. The model is chosen for each need through evaluations on your real cases, according to your sovereignty constraints and cost. When they are enough, a local model or a small classifier takes the place of a large model.
Every decision is documented in your repository. Your team, or another supplier, can take over at any time.
The engagement ends when your team can carry on alone, with the tests and tooling in place.
Agilis's founder, Cyrille Bally, is also CTO of two AI products used in real conditions.
Founder's profile on LinkedIn.
Can't find your question? Ask it during a 30-minute call.
An engineer who works directly with a client organisation to understand its business need and turn it into software, in its real environment. They cover the whole cycle, from need to production, and stay accountable for the result until the software works. Anthropic and Mistral AI have forward deployed engineers who put AI applications into production for their customers.
Both work on your premises, with your teams. A contract developer works through the tasks you assign and is billed by the day: you decide what to build. A forward deployed engineer starts from the business problem. They watch how users work, propose what to build, build it in your repository and put it into production. At Agilis, engagements are billed at a fixed price, per project or by subscription.
A consulting firm delivers an analysis and recommendations, and delivery comes later. A fixed-price IT services firm builds to a specification written upfront, inside its own team. Agilis starts by understanding your business and your constraints, then works in your repository, under your rules, until the software runs. Knowledge transfer happens during the engagement, at every code review.
IT departments that need to replace an old application, domain experts and non-technical founders who want to take an AI-built application to production, small business owners who want to automate repetitive tasks, and startups, SaaS vendors and mid-sized companies that need a fractional CTO or a one-off technical opinion. A first 30-minute call is enough to check whether your situation fits.
No. The forward deployed engineers at Anthropic or Mistral AI deploy their employer's models. Agilis is not tied to any vendor: it deploys the AI model that best fits the need, the sovereignty constraints and the budget. The choice rests on evaluations built from your real cases. When a task allows it, a local model or a small classifier replaces a large model, which lowers the cost and keeps the data with you.
It is the first question to settle, before any line of code. The AI models allowed to read the code and where they are hosted are chosen with your CISO, according to your security policy. We also define what each agent may read and modify, and isolate it from the rest of your system. The real data used for testing stays in your environment.
All the work happens in your repository: the code, the tests, the documentation and the decision history in the pull requests. Your team, or another supplier, can take over at any time. That is also why Agilis works with your developers rather than instead of them.
Yes, entirely. Code, tests, pipeline, hosting accounts and data stay in your name. The agentic software factory set up during the engagement stays with you and keeps serving afterwards.
Scoping a legacy replacement and assessing a prototype are sold at a fixed price. Taking a prototype to production is priced per project, automation per automated process. The fractional CTO role is a monthly subscription, from 4 days a month.
Both. Agilis is based in the Paris region. Scoping almost always happens on site, with the people who use the system and those who maintain it. The rest follows your usual ways of working.
A software production line in which AI agents write most of the code, inside a setup that checks the result: tests that act as a contract, continuous integration, security scans and human review. For an old application, it makes it possible to rewrite the system module by module, keeping the old one running until the switchover.
By working in a codebase structured for them. Modules have clear boundaries, tests act as a contract and continuous integration blocks whatever fails. When an agent picks up a bad habit, we fix the architecture to prevent it, not just the code it produced. Every change is still reviewed by a human.
Through the test harness, built before any rewrite. It records the system's current behaviour on real data, including behaviour nobody documented. The new code must produce the same results on the same inputs, or it does not go to production. During the switchover, the old and new systems run side by side, which makes it possible to compare in real conditions and to roll back.
It depends on the size of the system and the state of what exists. Scoping, which produces the map of business rules and the costed replacement plan, takes a few weeks. Replacement then happens module by module, and each module switched over serves your users without waiting for the end of the programme.
Yes. Many domain experts now build a first version of their application with AI, without writing the code themselves. This is called vibe coding. The result proves the idea, but it lacks the architecture, security, data management and reliable deployment a product requires. Every technical decision is explained in terms of its impact on your business.
The repetitive tasks that take up your teams' time: prospecting and follow-ups, handling calls and messages, task tracking. The work starts from how you actually operate, and the tools put in place stay in your name.
A technical director who works a few days a month instead of holding a full-time position. They settle architecture choices, evolve the product and oversee operations. At Agilis, it is a monthly subscription, from 4 days a month.
Meeting point
Pick a 30-minute slot directly in Agilis's calendar.