Where Leading Brands Turn for AI, Digital Product, and Software Expertise
What it is: A custom AI system trained on your own winning proposals, case studies, and project records. It reads each incoming RFP, finds the most relevant past work, and assembles a structured, on-brand first draft for your team to refine.
Why it matters: When proposals take weeks, every bid costs more, fewer opportunities get pursued, and quality depends on who happens to be available. Most teams don't have a writing problem. They have a knowledge access problem, and that's what proposal automation fixes.
A Searchable Knowledge Base From Your Past Work
Historical proposals, project documents, case studies, and supporting materials are ingested and indexed into one structured knowledge base. Years of unstructured files become a usable asset.
Intelligent RFP/RFI Analysis
The system extracts key requirements from each incoming RFP/RFI, identifies signals like industry, scope, and capability match, and connects them to your most relevant past work. Nothing gets missed because someone didn't have time to search.
Automated First Drafts in Your Brand Voice
The engine is trained on your previous winning proposals and brand language. It assembles a structured draft, matches case studies to the brief, and surfaces the right visuals, ready for your team to refine.
Pricing and Estimate Support
Past project data can be connected to the response, so the people building estimates start from what similar work actually cost instead of rebuilding numbers by hand.
Human-in-the-Loop Review
Speed doesn't mean losing control. Marketing refines the narrative, technical teams validate the inputs, and nothing goes to a client without human review.
Integration With the Systems You Already Use
No rip-and-replace. The proposal engine connects to your existing drives, CRM, and project tools, and can grow into approvals, launch forms, and project lifecycle workflows once the foundation is in place.
Discovery call.
30 to 45 minutes on how proposals get produced today and where time is lost.
Process redesign.
The proposal workflow is mapped and redesigned before anything is automated, so AI isn't speeding up a broken process.
Knowledge ingestion.
Past proposals and project data are indexed into a searchable knowledge base.
Build and integration.
RFP analysis, draft generation, and brand alignment are built and connected to your systems.
Launch and expand.
A working system goes live in about 90 days. Once the data is structured, it can support other teams too.
Proposal Automation Results
• 30+ days to 1 to 2 days: proposal turnaround for a construction company with 20+ years of project history
• 3+ weeks to about 2 days: RFP turnaround at Exhibitus, at 78% lower cost per response
• 320+ hours a month recovered by one team
• 70% faster proposal preparation
• 90 days from kickoff to a working system
Off-the-shelf RFP tools store answers. They don't know which of your past projects best matches this brief, how your best proposals were written, or how your pricing works. A custom system is built on your own archive and connected to your own systems, so the draft reflects your strongest work instead of a generic answer library.
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