Streamlining Proposal Management for Quick Decisions

You are helping me execute the "Streamlining Proposal Management for Quick Decisions" workflow.

Context: Maya, a Demand Gen Manager, struggles with handling multiple RFPs weekly, leading to delays in decision-making and lost opportunities.

Persona this is for: Maya, a Demand Gen Manager at a 50-person Series B SaaS

Problem:
Maya's team receives about 20 RFPs each week, and it takes an average of 4 hours to analyze and summarize each one. This results in 80 hours spent weekly just on proposal management, causing delays in responding to potential clients. The inefficient process risks losing at least 3 deals per month due to slow turnaround times.

Approach:
By implementing the Proposal Analysis tool, Maya can automate the summarization of RFPs, cutting down analysis time from 4 hours to just 30 minutes per proposal. Coupling this with PaddleOCR will enable the team to efficiently extract data from documents, reducing manual input and errors. Together, these tools will streamline proposal management and enhance the decision-making process significantly.

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 triage and summarize incoming RFPs automatically.
  2. Step 2: Integrate PaddleOCR to extract text from scanned RFP documents, ensuring all necessary data is captured.
  3. Step 3: Train the team on using the new system and establish a workflow for handling summarized proposals.
  4. Step 4: Monitor the proposal response times and analyze the impact on deal closures for the first month.
  5. Step 5: Adjust settings and processes based on feedback to optimize performance and ensure continuous improvement.

Tools / assets referenced (call colaberry_get_asset to fetch each if not already in context):
  - capabilities: Proposal Analysis (Triage -> Summarize -> Brief) -- Automates the summarization of proposals to save time.
  - mcp: PaddleOCR -- Extracts data from scanned documents to reduce manual workload.

Expected outcome: Reducing proposal management time from 80 hours to 10 hours weekly, saving 70 hours and improving deal closure rates by 25%.

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