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Comment les entreprises doivent-elles mener des projets de validation de concept (PoC) avec des startups ?

Comment les entreprises doivent-elles mener des projets de validation de concept (PoC) avec des startups ?

Murat Peksavaş – Consultant principal en gestion de l'innovation

Une preuve de concept (PoC) est une expérimentation à petite échelle qui teste la viabilité d'une idée ou d'une technologie d'une startup en situation réelle d'entreprise. Dans le cadre de l'innovation ouverte et de la collaboration entre startups, les projets PoC constituent un moyen peu risqué de valider la faisabilité, la valeur commerciale et l'adéquation technique avant un déploiement à grande échelle ou un investissement. Cet article explique ce qu'est une PoC, en quoi elle diffère d'un prototype, pourquoi elle crée de la valeur stratégique pour les entreprises et comment concevoir un processus PoC pratique et adapté aux startups, qui accélère l'apprentissage sans alourdir les procédures administratives.

What is a Proof of Concept (PoC) in corporate–startup collaboration?


In corporate innovation, a Proof of Concept (PoC) is a simple but focused experiment designed to show whether a new idea or technology can work in practice. Instead of immediately buying a startup’s product or launching a full deployment, the company uses a PoC to test the solution in its own facilities, processes, or data environment. The goal is not to polish every detail, but to answer a few critical questions: Does this really function under our real-world constraints? Does it generate measurable value? Can we scale it if it works?


Startups also use PoCs as signals of credibility toward investors and future customers. Running a PoC with a serious corporate partner shows that their solution is more than a slide deck or demo; it has been tested in a demanding environment. For both sides, a well-designed PoC creates shared learning: the startup better understands corporate processes and expectations, while the company gains insight into new technologies, business models, and ways of working it could not easily explore alone.


How is a PoC different from a prototype?


PoC and prototype are often confused, but they serve different purposes. A PoC focuses on feasibility: can this idea or technology work at all, at a basic level, in a realistic context? It is deliberately simple, fast, and limited in scope. It does not aim to simulate the final product; it aims to verify whether the core principle holds. Because of this, PoCs are typically used before major investment decisions—helping leaders decide whether to proceed, pivot, or stop.


A prototype, by contrast, is a more advanced and realistic version of a future product or system. It tries to approximate the final user experience, design, and functionality, and is often used for user testing, ergonomics, and refinement of features. Prototypes are usually built after a positive decision has already been taken to invest more seriously in development. In short: PoC answers “Can this work at all?” while a prototype answers “How will the final product look, feel, and operate?” Confusing the two can lead to over-engineering early experiments or, inversely, under-preparing for full-scale rollout.


Why do PoCs create value for companies?


PoC projects allow companies to test new solutions at small scale, with controlled risk and cost. Instead of committing large budgets and reputational capital to an unproven initiative, leaders can experiment in a limited environment—one production line, one branch, one customer segment—and quickly see where the technology delivers and where it fails. This early detection of problems reduces the likelihood of expensive failures at the prototype or rollout stage and helps refine requirements before major contracts are signed.


PoCs also support data-driven decision making. Rather than relying on optimistic business cases or vendor promises, companies collect concrete performance indicators: impact on productivity, error rates, energy consumption, customer satisfaction, or cycle times. Over time, consistently using PoCs turns innovation into a portfolio of learning experiments, not a gamble. The organisation becomes an early adopter of promising technologies, building a reputation as a partner of choice for startups and gaining a sustained competitive edge. Even when PoCs fail, they generate valuable experience: teams learn about new markets, processes, and technical constraints that inform future projects and strategic choices.


How should companies prepare for a PoC with startups?


Successful PoCs do not start with technology; they start with clarity. Before launching any PoC, the company should define which problem it wants to solve, which innovation objectives the project supports, and what kind of value the PoC is expected to demonstrate. Doing PoCs just to “hit a target of five or ten per year” is a mistake; each PoC should be linked to a meaningful outcome such as new revenue, cost reduction, improved customer experience, or strategic learning.


Preparation also means adapting internal processes to startup realities. Traditional procurement rules—long forms, heavy risk clauses, complex approval chains—are rarely compatible with early-stage companies that need decisions in weeks, not months. Legal departments should therefore design simplified, startup-specific contracts and NDAs, focusing on what is essential rather than transplanting full-scale supplier agreements. Corporate leaders must also accept that not every PoC will succeed and build a culture that values learning over fear of failure. If managers are punished for unsuccessful PoCs, they will avoid taking any risk, and open innovation will remain a slogan rather than a practice.


Choosing the right startup is equally critical. The innovation sponsor should have candid discussions from the beginning, clearly explaining expectations, success criteria, and constraints. They should research the startup’s team, product, and references beyond what appears in online profiles, to ensure the partner truly has the vision and capabilities required.


What does a practical PoC management process look like?


A robust PoC process can be organised into a few clear steps that repeat across projects:

  1. Define PoC needs – The innovation team works with business units to identify where PoCs could support strategic goals, based on real operational challenges and innovation focus areas.

  2. Select and evaluate startups – Potential partners are sourced through online platforms, innovation networks, and ecosystem scouting. Evaluation focuses on problem–solution fit, technical feasibility, and alignment with      corporate priorities.

  3. Handle legal and confidentiality – Innovation and legal jointly prepare streamlined NDAs and PoC agreements tailored to startups, clarifying IP, liability, and data usage in simple, accessible language.

  4. Plan the project and allocate resources – A concrete project plan is created with timing, budget, success metrics, and responsible      teams. Business units commit resources and agree on decision gates.

  5. Ensure security and data protection – IT and legal validate that the PoC respects security standards and data protection rules, especially when real customer or operational data is involved.

  6. Launch and monitor the PoC – The PoC is implemented with regular check-ins between the startup and corporate teams. Issues, learnings, and adaptations are documented as they arise.

  7. Collect feedback and report – During the PoC, structured feedback is gathered from users and stakeholders, and synthesised into concise reports for management.

  8. Evaluate results against success criteria – The innovation team and business owner analyse outcomes against agreed KPIs and decide whether to scale, iterate, or stop.

  9. Prepare legal and commercial next steps – For successful PoCs, legal and business teams design partnership, supplier, or investment agreements that support long-term collaboration.

  10. Scale and embed the solution – Rollout plans are defined with relevant business units, including training, change management, and operational integration.

Repeating this process across multiple PoCs builds organisational muscle: every project becomes faster, clearer, and more predictable for both the company and its startup partners.


Key takeaways


  • A PoC is a small-scale test of feasibility and value, distinct from a prototype, which simulates the near-final product.

  • PoCs reduce risk by revealing technical and business issues early, before large investments  and full-scale rollouts.

  • The purpose of PoC activity is not hitting numerical targets; each PoC should serve a real business or strategic objective.

  • Corporate processes (especially legal and procurement) must be simplified for startups, with tailored contracts and realistic timelines.

  • Cultural support from top management is essential; PoC failure should be treated as learning, not as a career-threatening risk.

  • A clear, repeatable PoC process—from need identification to scaling—turns startup collaboration into a disciplined innovation engine.


FAQ


Is every startup project required to go through a PoC?
No. Some mature solutions with strong references may move directly to pilot or rollout, but for most early-stage technologies, a PoC is a prudent first step.


How long should a PoC last?
There is no universal rule, but many effective PoCs are designed to run for a few weeks to a few months—long enough to collect meaningful data, short enough to maintain momentum.


Who should own the PoC inside the company?
Ownership is usually shared: innovation teams coordinate the process, while a specific business unit acts as sponsor and “home” for implementation and, if successful, scaling.


References


  • Henry Chesbrough, Open Innovation: The New Imperative for Creating and Profiting from Technology,      Harvard Business School Press.

  • OECD, reports on experimentation and innovation management in firms.

  • European Commission, guidance on corporate–startup collaboration and pilot projects.

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