RFP Intelligence: RFP Requirements Become Substantiated Proposals

You receive complex tenders as a package of continuous text, tables, drawings and attachments, with requirements that cannot be compared automatically or at a glance. Sales, engineering, product management and legal teams repeatedly assess the same questions because previous decisions are not documented in a structured way. Reviews take time, no-go criteria emerge late and each team reaches a different assessment. The result is resource-intensive RFP processes and proposals that, in case of doubt, rely on vague decisions.

A 120-page tender includes the requirement “IP68 at a submersion depth of 26m” in an appendix. No one can immediately determine whether the product meets it or whether an assessment already exists.

Structured Output From the RFP Intelligence Agent:

1. Identification: The AI agent identifies the requirement in the attachment and links it to the relevant page and section.
2. Structuring: It derives the protection class, the 26-metre limit and the operating condition as individual parameters.
3. Assessment: The AI agent compares the value against the documented product limit, identifies an exceedance and sets the status to at risk.
4. Routing: It recommends a known risk mitigation measure from a previous project, assigns Engineering as the owner and places the case in the review queue.

In the review board, the team sees a source-linked requirement with its classification, assessment, owner, proposed risk mitigation and residual risk, then confirms or corrects the decision with a single click.

Illustrative example generated from RFP and CRM data.