With the rise of ChatGPT, Gemini, and other Machine Learning (ML) systems, federal prime contractors are investing in AI for proposal development assistance. This briefing will provide federal contractors insight on the effective evaluation and utilization of Artificial Intelligence (AI) platforms for use in responding to Requests for Proposals (RFPs). This session is critical for business development, capture, and vendor proposal response teams in assessing AI systems to:
- Create a Compliance Matrix
- Assemble research to salient mission points
- Effectively convey your management approach
- Match evaluation criteria with past performance
- Protect your Intellectual Property (IP) from AI engines
- Improve the quality of your response
- Increase your PWIN (Probability of Win)
Join this session to leverage the sweeping impact of AI by understanding how AI can assist in the proposal development process and provide your company with a competitive edge by enhancing the quality of your proposal submission.
IMPORTANT: Federal Agencies are deploying AI to detect AI usage in RFP responses.
AI proposal engines can also be used to support White Paper creation, assemble CPARS Contractor Assessments and support your Capture team with relevant agency initiatives. Small businesses and Socio-Economically certified businesses can use this technology to effectively compete and expand their federal market share.
Recommended attending personnel:
Recommended attendees for this briefing include senior federal contractor leadership, business development, proposal writers, contract managers, and contract officers.
Business Categories:
Small businesses, SDVOSB, VOSB, WOSB, HUBZone, 8(a), Other than Small Business, Non-Profit.
Important: This briefing uses a Zoom-based communication connection via your network. This briefing will be accessible via phone if you are unable to connect online and recorded versions will be distributed with closed-caption for the hearing impaired. Instructions for login will be provided upon registration.
1 speaker on this recording.
