AI Explainability
Get the expertise you need to explain AI answers in RFP work. Learn TRACE Score, source citations, and why reviewers have to see where a draft came from before they accept it.
Build your AI explainability expertise
TRACE Score
Five dimensions of trust on each AI-generated response, including explainability.
Prevent AI hallucinations
Explainability starts with retrieval against approved content.
SRM versus generic LLMs
Generic models cannot show a reviewer the paragraph they used.
Responsive AI
Citations and human verification as the explainability path.
How AI helps RFP responses
The retrieve-then-draft sequence reviewers can inspect.
LookUp
Show the same vetted source the draft was built from.
Watch and learn
Beyond the RFP: Streamline Security Questionnaires
Automation patterns for security and SIG questionnaires.
2025 State of Strategic Response Management: Leading in the AI Era
Trust and AI leadership themes from the SRM report.
Mining for Gold: Knowledge Management for the AI Era
Knowledge hygiene as a prerequisite for governed AI.
Customer stories
How Tenable wins with Responsive
AI responses with controlled draft acceleration.
How JAGGAER wins with Responsive
Enterprise SRM with AI under adoption pressure.
How Qualtrics wins with Responsive
Accuracy at scale for response programs.
How Microsoft wins with Responsive
Content management discipline behind automation.
How Netsmart wins with Responsive
Library-backed AI answers instead of freeform generation.
How Akamai wins with Responsive
Stable RFP automation through organizational change.
