Introduction

For many organisations, the Request for Proposal (RFP) process is a critical yet grueling part of winning new business. Whether you are a consultancy or a legal firm, the manual effort required to digest complex requirements, track down subject matter expertise, and draft high-quality responses often leads to information overload and missed deadlines.

During a recent webinar, Jake Harvey, Automation Lead at Advania UK, shared how organizations can leverage the Microsoft Copilot product family to transform this process from a manual burden into an automated competitive advantage.

The Challenge: Why RFPs Are Difficult

The standard RFP journey involves receiving documentation, understanding customer needs, leveraging internal knowledge, and delegating tasks to Subject Matter Experts (SMEs). However, several persistent challenges remain:

• Knowledge Retention: When key employees leave, their niche expertise often leaves with them, making it difficult to access successful past responses.
• SME Availability: Finding the time for experts to contribute under tight deadlines is a constant challenge.
• Manual Reviews: Conducting a holistic review to ensure a response fully aligns with the original request is an exhausting and highly manual process.

Stop Buying Apps, Start Building Ecosystems

Harvey notes a growing trend in which organizations are moving away from “off-the-shelf” RFP software. Instead of “portal hopping” between disconnected third-party platforms, businesses want to work where their content already lives: Microsoft 365.

By treating automation as a series of “Lego blocks,” organizations can build maturity over time. This strategy focuses on three categories:

1. Personal Automation: Helping individuals use tools like Copilot to answer questions faster.
2. Defined Automation: Using simple workflows to handle task allocation and delegation.
3. Intelligent Automation: Allowing technology to autonomously perform deep research and complex reasoning.

Four Paths to RFP Automation

There is no “one-size-fits-all” solution. Instead, Harvey highlights four distinct ways to utilize the Microsoft stack:

1. M365 Copilot (The Accelerator)

Use Copilot to intelligently retrieve company knowledge from SharePoint and draft initial versions of responses. It can also help validate drafts against original RFP criteria and ensure responses meet specific word counts.

2. SharePoint Agents (The Focused Expert)

Generic AI can sometimes be too broad. By creating SharePoint Agents focused on specific libraries — such as case studies or social value commitments — organizations can ensure the AI queries only high-quality, relevant data, significantly reducing the risk of hallucinations.

3. Copilot Studio (The Process Guide)

For more complex scenarios, organizations can build custom agents that act as “Technical Architects.” These agents can ingest licensing guides and project data to create structured technical proposals automatically.

4. Azure & Microsoft Foundry (The Custom Gold Standard)

For organizations where winning bids is fundamental to the sales pipeline, a custom solution built in Azure may be necessary. This approach enables the extraction of individual questions from complex documents and matches them with “exemplar” responses stored in SharePoint.

The Goal: Document Refiner, Not Document Author

The ultimate objective of RFP automation is to shift the human role from “document author” to “document refiner.” By allowing AI to handle the heavy lifting of knowledge retrieval and initial drafting, teams can focus on the strategic messaging and nuanced tailoring that ultimately win deals.

However, technology cannot solve a “garbage in, garbage out” problem. Harvey emphasizes that data quality is the number one reason these projects fail. If internal knowledge is disorganized, duplicated, or outdated, even the most advanced AI solutions will struggle to deliver meaningful value.