New Features and Updates

What’s New in AutogenAI

Discover what new features and improvements are helping teams move faster, stay aligned, and submit higher-scoring, compliant proposals with confidence.

Introducing

A New AutogenAI Experience is Here.

We have redesigned the AutogenAI to make proposal work simpler, faster and more connected. Three changes your team will notice immediately:
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1. One Connected Workflow

Opportunity search, strategy, collaboration, writing, review and submission now happen inside one connected project, replacing fragmented workflows and disconnected tools.

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2. One Unified Editor

Research, ideation and writing now happen inside a single workspace, with project knowledge and organisational content available alongside every writer.

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3. One Source of Truth

A new homepage gives every user a clear starting point, with their work always just one click away and the right next action surfaced at the right time.

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The Complete Microsoft Word Integration

No switching tools. No broken flow. Just faster, stronger proposals inside the document you are already working in.
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Draft in minutes using only approved content

Pull in relevant case studies, statistics and best answers in a click

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Apply Proposal Specific AI Tools in Word

AI capabilities built specifically for proposal writing, not general business writing

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Built-in Score Optimization with Gamma Review

Boost your proposal success with Gamma Review. Optimised writing and a streamlined review process

Your full knowledge base and proposal-specific AI tools, all inside a Word side panel. No switching platforms. No new tools to learn. Just faster, stronger proposals where your team already writes. Simple for writers. Easy for IT. Just add it like any other Word add-in.

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Highspot Integration

Your trusted content, grounded in every answer

AutogenAI now integrates with Highspot, enabling you to include your Highspot content libraries in AI generations and searches. When you ask a question, the AI can search Highspot alongside your other selected sources, including AutogenAI Library, Datasets, and Web Search.

 

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