Value creation
Join market leaders in using AI for proposals and RFPs
AI is transforming all businesses processes, and preparing proposals and RFPs is no exception. The benefits of AI in this area are numerous and can be quantified (sources: Forrester Group, Gartner, IDC).
- Reduction in time completion
- Up to 40%
- Increase in success rates
- Up to 20%
- Reduction in number of errors
- Up to 30%
- Tasks that can be automated
- Up to 80%
AI-powered proposal & RFP assistant
Use case 1: build the credential section using information from past projects
Build a search engine with all your past projects, and retrieve the most fitted projects for the new project. Let a Large Language Model (LLM) write the credentials section. Help your marketing team be 10x more efficient.
- Transcribe your sales calls -
- Use OpenAI's Whisper or Deepgram to transcribe your sales calls and store them in a vector store.
- Setup your Large Language Model -
- Let an LLM extract the right quotes from the vector store for the proposal.
- Integrate the results in your workflow -
- Generate a list of quotes for your marketing team to use in the proposal.
AI-powered proposal & RFP assistant
Use case 2: Transcribe sales calls and find the right quotes
Leverage the power of OpenAI's Whisper or Deepgram to transcribe your sales calls. Use a Large Language Model (LLM) to find the most relevant quotes to the client's needs.
- Build a knowledge base
- Connect your databases to Stack AI and generate embeddings. Use these embeddings to search through your knowledge base and find the most relevant projects to the client's needs.
- Setup your Large Language Model
- Write a prompt to generate the credentials section of the proposal. Use the embeddings of the projects found in the previous step to generate the most relevant credentials.
- Export your results
- Export the results in your favorite format (Word, PDF, HTML, etc.) and integrate them in your workflow.
AI-powered proposal & RFP assistant
Use case 3: Find the perfect team and generate the proposal
Upload your team's resumes and let a Large Language Model (LLM) find the best team for the project.
- Build a knowledge base with your resumes
- Upload your team's resumes and vectorize them. Use these embeddings to search through your knowledge base and find the most relevant projects to the client's needs.
- Setup your Large Language Model
- Write a prompt to find the right team members to win the proposal. Get a list of the most relevant team members for the project along with a rationales and a matching grade.
- Export your results
- Export the results in your favorite format (Word, PDF, HTML, etc.) and integrate them in your workflow.
"At ForgeFX, we specialize in simulation training, stepping beyond with Stack AI to develop internal AI tools and explore new AI research. This progression is seamless, free from detailed implementation issues, enhanced by outstanding support from the Stack AI developers."
