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French AI funding application: budget, evidence and timeline

FRA9 FILE · Business & work

French AI funding application: budget, evidence and timeline

Turn an AI product into a fundable application: customer problem, technical risk, data, milestones, costs, co-funding and compliance.

TRLDépenses éligiblesRGPDPlan de financement

Turn an AI product into a fundable application: customer problem, technical risk, data, milestones, costs, co-funding and compliance.

01TRL02Dépenses éligibles03RGPD
01

An application funds uncertainty, not the word AI

Start with a verified customer problem and an obstacle the team cannot remove without further work. Describe the decision the model improves, the user, current alternative, measurable value and why AI is necessary. A generic chatbot, software subscription or marketing label proves neither innovation nor technical risk.

Key pointsTRLDépenses éligiblesRGPDPlan de financement
02

Map maturity and milestones

Place the product on evidence: accessible data, prototype, baseline performance, pilots, intellectual property and industrialisation capacity. Turn the roadmap into testable milestones—qualified dataset, prototype, robustness test, security audit, customer pilot, compliance and release. Every milestone needs an owner, date, cost and success criterion.

03

Build an eligible, traceable budget

Separate fully loaded payroll, subcontracting, compute, licences, data, trials, certification, intellectual property and depreciable equipment. Link each line to a work package and quote or calculation. Do not commit expenditure before the authorised date. Separate requested aid, own funds, debt, investor money and other public support; check cumulation rules and keep enough cash until payment.

04

Document data, model and compliance

State data origin, legal basis, reuse rights, location, retention and treatment of sensitive information. Describe the model, evaluation, bias, human oversight, cybersecurity, dependencies and fallback plan. Where the AI Act may apply, anticipate classification, technical records, logging and accountability without claiming that an ethics statement alone creates compliance.

05

Prove the team, market and ability to deliver

Reviewers must see who owns product, research, data, domain, sales and finance. Include relevant CVs, roles, committed time, partners and genuine pilot letters. Size the market through reachable customers, price, sales cycle and deployment cost rather than an arbitrary slice of a global headline. Explain what continues when the funded period ends.

06

Prepare submission and audit evidence

Use the official rules, finance annex and timetable. Cross-check figures, intellectual property, aid already received and signatures. Retain versions, invoices, time records, contracts, deliverables and payment evidence in an audit file. After award, report material budget, partner or timetable changes under the agreement; funding does not remove delivery and evidence obligations.