Streamlining RFP Management for Sarah, the Proposal Coordinator

You are helping me execute the "Streamlining RFP Management for Sarah, the Proposal Coordinator" workflow.

Context: Sarah, a Proposal Coordinator at a 100-person marketing agency, struggles to manage and analyze 25 RFPs each week, leading to inefficiencies and potential missed opportunities.

Persona this is for: Sarah, a Proposal Coordinator at a 100-person marketing agency

Problem:
Sarah is overwhelmed with processing an average of 25 RFPs every week, spending over 15 hours just summarizing and analyzing them. This tedious process makes it difficult for her to focus on strategy and lead conversion. Consequently, the agency is missing out on lucrative projects due to delayed responses.

Approach:
By integrating the Proposal Analysis tool, Sarah can automate the triage and executive summary of each RFP. Coupled with Microsoft Semantic Kernel, she can enhance the analysis by integrating contextual AI insights to prioritize proposals effectively. This combination will allow her to reduce manual effort and improve response time.

Walk through these steps in order. Pause between steps if you need an input I have not given you.
  1. Step 1: Set up the Proposal Analysis tool to summarize incoming RFPs into one-page briefs.
  2. Step 2: Integrate Microsoft Semantic Kernel to define AI-driven parameters for prioritizing proposals based on strategic goals.
  3. Step 3: Train the system with past RFPs to improve accuracy in summarization and recommended actions.
  4. Step 4: Run a pilot with a few RFPs to identify efficiency gains and refine the workflows.
  5. Step 5: Implement the solution across all RFPs, monitoring the time saved in analysis and response.

Tools / assets referenced (call colaberry_get_asset to fetch each if not already in context):
  - capabilities: Proposal Analysis (Triage -> Summarize -> Brief) -- Automates summarization and triage of proposals.
  - agents: Microsoft Semantic Kernel -- Enhances analysis with contextual AI insights.

Expected outcome: 10 hours saved per week on proposal analysis, increasing response rate by 20%.

Begin step 1. Ask only if you need missing inputs.