Gatien
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Gatien
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Decision
The right AI partner depends on the level of uncertainty. For a first prototype, a targeted integration, or a precise automation, a technical freelancer can be more direct. For a broad, multi-team, or heavily regulated program, an agency or an internal team can become a better fit.
What can be built
Every project starts from a real workflow, real examples, and an output the team can check.
Prototype, targeted workflow, LLM integration, limited RAG, or an internal tool to deliver quickly.
Broad transformation, multi-department support, change management, or a long program.
Critical product, highly sensitive data, ongoing maintenance, and permanent technical ownership.
A freelancer to prototype, then an internal team or agency to industrialize based on the result.
Use cases
These examples are a starting point. The right scope depends on your data, your users, and the business risk.
A freelancer can help you learn quickly without launching a large project machine.
A developer profile can work directly in the code and the APIs.
An agency can help if the need goes beyond development and includes change management.
Internal ownership matters when the AI capability needs to stay at the core of the company.
How a mission runs
Clarify the business problem, the users, the available data, the constraints, and the expected result.
Build a first testable version on real examples, without overbuilding the architecture.
Check answers, errors, edge cases, permissions, and how much human review is needed.
Connect the tool to existing systems: internal app, CRM, Slack, Teams, email, document store, or API.
Hand over a maintainable base: code, configuration, known limits, success criteria, and next steps.
Stack
Deliverables
Scope
FAQ
Torn between freelancer and agency? Describe the scope, the risks, and how urgent the project is.
Contact GatienYes for a targeted scope. For a broad transformation, you often also need product, security, data, change management, or an internal team.
Ask for documentation, access to the code, simple technical choices, a clear handoff, and known limits.
When the project involves several teams, many workshops, a lot of governance, or a broad organizational rollout.
Read next
Go from an AI idea to a concrete tool, wired into the company’s real workflows.
A page so you know what to expect before handing over an AI project.
A first useful version that turns a hunch into a product or operations decision.