Start with the business responsibility, desired outcome and current way of working.
AI for Proposals and Quotations
Improve opportunity research, scope development, professional wording, completeness checks and follow-up communication.
What this training can help your people do.
Delegates work through relevant examples using the organisation’s approved or best-fit AI platform. They learn transferable methods—not dependence on a particular provider.
- ✓Research the prospect, industry, opportunity and relevant customer priorities using reliable sources
- ✓Turn briefs, meeting notes and approved correspondence into structured requirements and clarification questions
- ✓Develop the solution approach, scope, deliverables, assumptions, exclusions, responsibilities and timelines
- ✓Draft professional, customer-specific proposal, quotation and presentation content
- ✓Compare versions and check pricing, calculations, dates, commitments and internal consistency
- ✓Use Universal Prompts and a reusable Project or work environment to retain approved company information and tone
- ✓Create a repeatable proposal workflow or basic assistant for research, drafting, quality checks and follow-up
- ✓Protect confidential information and retain commercial, technical and management approval before submission
From a useful example to repeatable business capability.
Training combines ordinary-language instruction, Streamline Intel Universal Prompts, guided exercises, reusable Projects, configured AI work environments, basic AI assistants or agents, and repeatable workflow methods. Delegates learn how to provide context, use approved information, define the required output, review the result and improve the method for future use. Configuration and available features depend on the approved platform, programme scope, subscriptions and permissions.
Use clear prompts, relevant files and guided practical exercises.
Check facts, figures, permissions, assumptions and professional quality.
Turn successful work into an adaptable prompt, Project or repeatable workflow.
No coding or previous AI expertise is required. Important outputs remain subject to human review, organisational policy, privacy requirements and professional approval.
