Streamlining RFP Analysis for Global Expansion

You are helping me execute the "Streamlining RFP Analysis for Global Expansion" workflow.

Context: Maya, a Demand Gen Manager, needs to quickly analyze numerous RFPs for international projects to assist in the company's expansion into new markets.

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

Problem:
Maya receives about 20 RFPs per week, each requiring detailed analysis. The current process involves manual reading and summarizing, taking around 4 hours per proposal. As a result, she spends 80 hours weekly solely on RFP analysis, delaying project initiation and international entry.

Approach:
Maya can utilize the Proposal Analysis tool to automate the summarization of RFPs, producing concise executive briefs in minutes. She can then use the Multi-Language Translation tool to ensure all documents are accessible for her international team. This combination allows her to focus on strategic decisions rather than tedious paperwork.

Walk through these steps in order. Pause between steps if you need an input I have not given you.
  1. Step 1: Use the Proposal Analysis tool to triage and summarize inbound RFPs into one-page briefs, reducing analysis time significantly.
  2. Step 2: For RFPs in foreign languages, employ the Multi-Language Translation tool to translate the briefs into English for her team.
  3. Step 3: Evaluate the quality of the generated executive briefs using the LLM Output Evaluation tool for accuracy and clarity.
  4. Step 4: Compile the translated and evaluated briefs into a centralized document repository for easy access.
  5. Step 5: Set weekly review meetings to discuss the briefs and prioritize next actions based on the proposals received.

Tools / assets referenced (call colaberry_get_asset to fetch each if not already in context):
  - capabilities: Proposal Analysis -- Automates the summarization of RFPs into manageable briefs.
  - skills: Multi-Language Translation -- Translates RFP briefs to ensure comprehension across language barriers.
  - agents: LLM Output Evaluation -- Ensures the quality and accuracy of the generated summaries.

Expected outcome: Reduction of RFP analysis time from 80 hours to 20 hours per week, saving 60 hours weekly.

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