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This is an illustrative training example, not a named client engagement.

Situation

A 150-person advisory firm believes proposal production is too slow. Leadership asks whether generative AI can write proposals automatically.

Diagnostic scope

Start: qualified opportunity requiring a formal proposal. End: approved proposal ready for client submission.

Stakeholders

Sales lead, bid/proposal manager, delivery subject-matter expert, commercial reviewer, senior partner and operations/knowledge owner.

Evidence

AI-led interviews show that different teams describe the process differently. Consent-based screen observation with a bid manager reveals significant time searching shared drives, copying information between documents and revisiting drafts after missing inputs are discovered.

Findings

  1. The largest delay is collecting missing inputs and waiting for review, not first-draft writing.
  2. Reusable case studies and biographies are poorly organised.
  3. Commercial review detects missing scope assumptions late.
  4. Subject-matter experts answer similar questions repeatedly.
  5. Drafting is a credible AI-assistance opportunity once inputs are standardised.

Opportunity backlog

  • proposal intake checklist;
  • approved reusable content library;
  • AI-assisted first draft with consultant review;
  • earlier, targeted review routing.

Prioritisation

The consultant recommends intake standardisation and an approved content library as prerequisites, then an AI-assisted drafting pilot.

Business case

The consultant models proposal volume, drafting time, search time, rework and approval delay outside Iris. Win-rate uplift is treated separately rather than assumed.

Report Composer

The current-state map, evidence-backed findings, opportunity sequence and consultant-created business case are assembled into the final report using Iris Report Composer.

Executive recommendation

Fix the information and review workflow first, then introduce AI-assisted drafting against approved content. That sequence addresses the dominant delays while keeping commercial judgment with the consulting team.