Inventive AI

Win More RFPs With AI Agents

Contact for Pricing

Description

Inventive AI is designed to streamline the Request for Proposal (RFP), Request for Information (RFI), and security questionnaire response processes for businesses. It utilizes proprietary AI technology and AI agents to significantly speed up the creation of first drafts, aiming for accuracy by grounding responses in the user's provided knowledge sources. The platform features a centralized knowledge hub where users can consolidate information from previous RFPs, documents, integrated systems like Google Drive and SharePoint, legacy Q&A data, and websites.

The system includes an AI content manager to help maintain the relevance and consistency of information by identifying conflicting or stale content within the knowledge base. Inventive AI also facilitates team collaboration, allowing users to share projects, manage permissions, assign tasks, and leave comments within the platform. It provides transparency by showing the source of generated responses and automatically flags inconsistencies within proposals to ensure cohesion. Integration capabilities allow connection with existing tools such as CRMs and collaboration platforms.

Key Features

AI Responses: Generates accurate first drafts up to 10 times faster, based on user knowledge sources.
Unified Knowledge Hub: Centralizes information from documents, integrations (Google Drive, SharePoint, Notion, etc.), legacy data, and websites.
AI Content Management: Proactively flags conflicting or stale content within the knowledge base.
AI Agents Hub: Provides specialized AI agents for tasks like competitor research and brainstorming.
Integrations: Connects with tools like Jira, Notion, Confluence, Google Drive, Slack, Salesforce, and Hubspot.
Automated Answers: Imports RFPs and generates draft responses quickly.
Share & Collaborate: Enables team collaboration with customizable permissions, task assignments, and comments.
View Sources: Tracks the origin of generated text passages for transparency and compliance verification.
In-Proposal Conflicts: Automatically identifies and flags inconsistent answers within a single proposal.

Use Cases

Automating responses to RFPs (Request for Proposals)
Generating answers for RFIs (Request for Information)
Completing Security Questionnaires efficiently
Improving proposal team productivity and collaboration
Managing and maintaining proposal content accuracy
Conducting competitor analysis for proposals
Streamlining sales and revenue operations workflows

Frequently Asked Questions

What is RFP AI software?

RFP AI refers to artificial intelligence technology used to automate the RFP (Request for Proposal) process. With an RFP AI platform like Inventive AI, companies can create, manage, and respond to RFPs faster by using intelligent automation, saving time and increasing win rates.

How is Inventive AI different from tools like Loopio or Responsive?

Unlike legacy RFP automation tools, Inventive AI goes beyond basic content retrieval. Its AI Agents dynamically learn from past responses and knowledge sources (Google Drive, OneDrive, SharePoint, web pages) to generate highly accurate, context-aware answers. This deep automation aims to ensure responses are tailored and strategic. It also allows storing competitor insights and integrates seamlessly with knowledge sources for faster implementation.

Can Inventive AI integrate with my existing tech stack?

Yes, Inventive AI integrates with popular CRM platforms (like Hubspot), collaboration tools (like Slack), Google Drive, SharePoint, Notion, and more.

How secure is my data with Inventive AI?

Inventive AI uses end-to-end encryption, is SOC 2 compliant, and employs role-based access controls. Data is not shared with third parties, and the platform adheres to GDPR and CCPA standards.

How accurate are the AI-generated responses?

The AI RFP response software reportedly achieves over 90% accuracy by leveraging historical RFP data, approved content libraries, and real-time feedback. It provides AI-powered confidence ratings to help users identify potential gaps. Safeguards are in place against AI hallucinations; if information is missing from the content library, the AI flags the gap instead of fabricating a response.