Design & tender5/5 AI-assisted stepsIntermediate

Tender search and response

Spot relevant tenders, quickly extract the key information needed to decide whether to bid, then prepare a structured response and the required administrative documents.

Without AI

  • Search tender sources manually1 h 15
  • Read the tender documents2 h 30
  • Assess bid/no-bid and list requirements1 h
  • Reuse and rewrite the response3 h
  • Collect and verify administrative documents1 h 30

Environ 9 h 15

With AI

  • Filter relevant tenders25 min
  • Extract deadlines, criteria and deliverables1 h
  • Review a bid/no-bid summary30 min
  • Draft a structured response from approved content1 h 15
  • Check the submission package manually45 min

Environ 3 h 55

Why this use case

Pour une agence d’architecture, la veille et l’analyse des appels d’offres mobilisent rapidement plusieurs heures, souvent au détriment du travail de conception et du suivi des projets. Une première lecture structurée permet d’identifier plus vite les marchés réellement compatibles avec les références, les compétences, les délais et la capacité de l’équipe.

La préparation de la réponse bénéficie également d’un cadre reproductible : les informations de l’agence, les références, les méthodologies et les pièces administratives peuvent être retrouvées et adaptées sans repartir de documents dispersés. L’IA accélère la recherche et la mise en forme, mais la décision de candidater et la validation finale des pièces restent sous la responsabilité de l’équipe.

Process steps

1

Identify relevant tender opportunities

AI-assisted20 à 30 minutes

Search the tender sources available to the practice and retain only opportunities matching the agency’s geography, building types, mission scope, team capacity and submission deadlines.

2

Extract the consultation requirements

AI-assisted45 à 60 minutes

Provide the tender notice, consultation rules and technical documents to the AI, then produce a structured summary of eligibility criteria, evaluation criteria, required deliverables, file formats, contacts, questions and deadlines.

3

Make the bid/no-bid decision

AI-assisted25 à 35 minutes

Turn the extracted information into a decision matrix covering eligibility, strategic fit, available references, workload, partners, schedule and risks. The architect or practice director validates the recommendation.

4

Prepare the structured response

AI-assisted1 à 1 h 30

Retrieve approved agency information, project references and recurring methodology sections, then adapt them to the consultation’s evaluation criteria without inventing experience, team members or commitments.

5

Assemble and verify the submission package

AI-assisted40 à 60 minutes

Use the extracted requirements as a submission checklist, collect the administrative documents and perform a final human review of completeness, dates, signatures, file names, formats and consistency across the response.

Prompts

Tools used

Perplexity

Step 1

Tender monitoring and initial web search

Key takeaway : Limit the search to the sources and geographic areas relevant to the practice, then verify every retained opportunity on the original publication.

ChatGPT

Steps 2 and 3 and 4 and 5

Document analysis and response drafting

Key takeaway : Provide the source documents and the agency’s approved content separately, and require the model to flag missing or uncertain information.

Notion

Steps 4 and 5

Approved content and submission checklist

Key takeaway : Maintain dated versions of references, team biographies, standard sections and administrative documents rather than relying on untracked copies.

Limitations

1

No legal or contractual interpretation

The AI can locate and summarise clauses, but it cannot determine the legal effect of an ambiguity or replace advice from the contracting authority or a qualified adviser.

2

No reliable eligibility decision without validation

A recommendation to bid may miss a condition, a date or an implicit requirement. The original consultation documents remain the reference for the final decision.

3

No creation of missing evidence

The AI must not fabricate references, certifications, staff experience, technical commitments, signatures or administrative documents that the practice does not possess.

4

No final submission control

File completeness, validity dates, signatures, upload formats and actual submission remain the responsibility of an authorised team member.

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