AI Can Write a Grant Proposal. But Can It Build a Winning Innovation Case?

Artificial intelligence is changing the way companies prepare applications for European innovation funding. From analysing calls to drafting proposal sections, AI can make the process faster and more efficient.

But can it actually replace the expertise behind a successful application?

A new paper from the European Association of Innovation Consultants (EAIC), Artificial Intelligence in European Innovation Funding: Automated proposal generation, applicant protection and the value of domain expertise, argues that it cannot.

Writing is only part of the equation

AI can help structure information, improve drafts and automate repetitive tasks. However, a competitive funding application requires much more than well-written text.

The real work lies in developing a strong project and business case, gathering evidence, validating the market opportunity, building credible financial projections and making the right strategic decisions.

This distinction is particularly important in highly competitive programmes. At the October 2025 EIC Accelerator cut-off, 923 companies submitted full proposals, but only 61 were ultimately funded — a success rate of around 7%.

Producing proposals faster does not necessarily mean producing more fundable projects.

AI also brings new risks

The EAIC paper highlights another issue: transparency.

Many AI-powered grant-writing platforms promote their ability to improve funding success rates or claim to be trained on successful proposals and evaluator reports. EAIC calls for greater transparency around these claims, including the evidence behind reported success rates and the origin of the data used to train AI systems.

Confidentiality is another concern. Innovation proposals can contain sensitive information about technologies, intellectual property, business models and financial projections. Companies therefore need to understand how this information is handled before uploading it to an external AI platform.

Applicants also remain responsible for the content they submit. AI-generated references, market figures or technical claims still need to be checked and validated.

The future: AI as a tool, not a substitute for expertise

The emergence of AI does not mean companies should avoid using it for funding applications. Used appropriately, it can save time, improve efficiency and support teams throughout the proposal process.

But the competitive advantage remains in knowing what to write, why it matters and whether the evidence supports it.

As AI makes the production of proposal text increasingly accessible, strategic judgement, domain expertise and credible evidence become even more important.

The question is therefore not whether AI will replace human expertise in European innovation funding, but how effectively companies can combine AI with the expertise needed to build a genuinely competitive application.

EAIC’s latest paper provides an important contribution to that conversation.