Core AI Skills for Bid Teams
€ 600
What you'll learn
This course shows bid teams how to use AI confidently, safely and effectively across capture, qualification, drafting, compliance and submission. You direct in plain English. AI handles the heavy lifting.
You will move from occasional experimenter to confident practitioner, with prompt patterns you can apply to live tenders the same week.
- Stop starting every bid response from a blank page and start from a working draft
- Turn tender questions, SME interviews and case studies into compliant responses in minutes
- Research competitors, client strategy and historical procurement using your own data and public sources
- Build reusable capture-to-submission workflows that work across ChatGPT, Claude, Copilot and Gemini
- Know where to trust the output and where your bid judgement is non-negotiable
Who it's for
Bid professionals who want AI handling the repetitive drafting, research and compliance checking that eats into strategy and win planning. No technical background needed.
Course structure
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Each session builds on the last, moving from safe setup through applied skills to real-world use. All exercises use real or synthesised bid scenarios and run in the session, not as homework.
Session 1 · 23 September, 1pm - 2pm
Setup, safety and first prompts
Get set up across ChatGPT, Claude, Copilot or Gemini. Learn what can and cannot safely go into AI tools, including confidential tender material, client data under NDA and commercially sensitive pricing. Structured prompting turns vague asks into output you can send to a bid director for sign-off. You convert your first tender question into a structured response outline before the session ends.
Session 2 · 30 September, 1pm - 3pm
Turn briefs into bid responses and evidence win themes
Use AI to convert tender questions, capture intelligence and SME inputs into clear, on brand response drafts. Turn SME interview notes into draft answers in your firm’s voice. Pull case studies and capability statements into draft responses and sense-check answers against the question being asked. Analyse the tender, client strategy and historica lprocurement to identify competitor positioning and evidence win themes backed by data, not assumption. Every task uses real or synthesised bid data and runs in the session.
Session 3 · 30 September, 1pm - 3pm
Repeatable bid workflows and knowledge bases
Build reusable prompt patterns for the operational side of bid management: standardise capture and qualification questions, set up repeatable drafting, review and approval sequences, run compliance checks on long documents consistently. Create a searchable knowledge base from your case study library, method statements, capability statements and past responses so AI works with your sources, not the open web. Use voice input to capture SME interviews and convert long-form transcripts into tightly written respons esections. Reduce duplicated effort across simultaneous tenders.
Session 4 · 7 October, 1pm - 3pm
Hackathon
No new teaching. You bring one real task from your current workload and tackle it with AI. Facilitator-led support, peer learning across bid management, proposal writing, capture and pre-construction. Everyone leaves with at least one high-value output they can use on Monday morning.
Go further with the AI Institute
Agent build
This course is where it starts, not where it ends. For teams ready to go further, the AI Institute works directly with bid functions to build automations: capture-to-submission pipelines, compliance-check sequences, case study assembly workflows, SME interview to-response engines. We hand them back through targeted training so your team can run and maintain them without depending on outside support.
About the instructor
Emma Marlow
AI for Marketing specialist
Emma Marlow is a marketing professional with over 20 years' experience and a strong focus on making AI easy to understand. As a skilled prompt engineer, she shows beginners how to use AI tools with confidence and start seeing results quickly.
Frequently asked questions
None at all. Our courses are specifically designed for working professionals, executives, and design teams who want practical AI skills, not a computer science lecture.
- If you are taking a Copilot course, basic familiarity with standard Microsoft 365 apps (Word, Excel, Outlook) is all you need.
- For Claude Code, Claude handles the actual coding while you direct it using plain English.
- For visual or industry-specific paths like Nano Banana or Built Environment, we focus entirely on practical workflows, layout options, and project management—never complex programming.
Yes, absolutely. Security and confidentiality are our highest priorities, especially for our AEC and Finance cohorts:
- Data Privacy: Microsoft Copilot and Claude enterprise plans respect your existing corporate IT permissions. The AI only sees data you are already authorized to access, and your inputs are never used to train public models.
- Course Work: Live workshop sessions use anonymized dummy data so you can focus entirely on mastering techniques in a safe environment. You will then be given clear frameworks to confidently apply those exact same prompts to your live, proprietary project files between modules.
The market is flooded with generic "how to write prompts" videos. Our edge is entirely different:
- Live, Expert Facilitation: You are learning in real-time alongside an executive-level peer group, guided by practitioners from companies actively deploying AI in the real world.
- Always Up-to-Date: The second an AI model drops a new feature, we rebuild our exercises. You are getting a cutting-edge playground, not stale theory.
- Workflow Integration: We don't just teach tools in a vacuum; we show you exactly how they talk to your existing ecosystem - whether that’s integrating Claude with Microsoft 365 or feeding Nano Banana concepts downstream into Revit, Rhino, and Photoshop.
