AiMe: The Intelligence Layer for Modern Commerce
tools and 19 skills run through one agent, AiMe
assistants, Copilot and Claude, reach Conga through MCP
Clause libraries are now built in hours, not weeks
Deal-level pricing guidance protects margins on complex CPQ quotes
Every software company is talking about AI. The real question is whether AI helps people do their jobs better.
For commercial teams, value doesn't come from asking a chatbot a question, or splitting work across multiple disperse agents. It comes from helping legal teams negotiate agreements faster, giving pricing teams better insight into future business conditions, enabling sellers to build more profitable deals, and allowing operations teams to automate work that used to require hours of manual effort.
That's exactly why we built AiMe, and as part of our October 2026 platform release, we’re launching our latest AI capabilities.
AiMe is Conga's AI intelligence layer, embedded across the Conga Advantage Platform and designed specifically for the complex workflows that drive revenue. Rather than acting as another standalone AI application, AiMe works across the Commerce Chain, helping organizations find information, automate decisions, reduce risk, and take action across contracts, pricing, quoting, rebates, and document automation. More than 90 tools and 19 skills now power intelligent experiences throughout the platform, through a single agent - AiMe. Read on to learn more about what’s coming.
AI That Understands Commercial Operations
Most AI solutions are built around productivity tasks. AiMe is built around commercial processes.
Organizations don't need help writing another email. They need help understanding contractual risk, forecasting demand, protecting margins, creating accurate proposals, and ensuring commercial commitments align across pricing, sales, legal, and operations.
By combining AI with the operational data that already exists inside Conga, AiMe helps teams move from searching for information to acting on it.
Transforming Contract Lifecycle Management
Nowhere is that more obvious than in Contract Lifecycle Management (CLM).
Legal and contracting teams spend countless hours reviewing agreements, searching contracts, managing clause libraries, and validating compliance requirements. AiMe helps automate each of those activities.
Redline AI reviews negotiated language against approved playbooks, identifies favorable and unfavorable changes, and helps organizations understand how negotiated language differs from their preferred standards. Contract Search allows users to ask questions in natural language, receive AI-generated summaries, compare contract language, and refine searches through conversational follow-up questions. Compliance capabilities review agreements for regulatory concerns and sanctions exposure before contracts are signed, helping teams identify risk earlier in the process. Meanwhile, Clause Library Builder transforms existing contract templates into searchable clause libraries in hours rather than weeks.
The result is a contracting process that is faster, more consistent, and better informed.
Helping Commercial Teams Make Better Decisions
Intelligence isn't only valuable in contracts.
Across pricing, revenue management, and planning, organizations face constant uncertainty. Demand shifts. Costs change. Market conditions evolve.
AiMe now powers forecasting capabilities that help organizations anticipate what may happen next rather than relying solely on historical reporting. Commercial teams can forecast demand, costs, revenue, capacity, utilization, and other business drivers to identify trends, detect anomalies, and make more proactive decisions.
This ability to combine historical data with predictive intelligence helps move businesses from reacting to change toward planning for it.
Bringing Intelligence into Every Deal
For sales, revenue operations, and pricing teams, AiMe is helping improve both deal quality and deal velocity.
In CPQ, intelligence is being embedded directly into the quoting process. Sellers can receive guidance that applies pricing policies at the deal level, not just the product level, helping ensure margin protection even on large and complex opportunities. Rebate visibility gives teams a clearer view of how incentives affect profitability before agreements are finalized, while intelligent quote experiences make it easier to configure accurate solutions and generate better outcomes.
Instead of forcing users to manually reconcile pricing policies, incentives, agreements, and profitability calculations, AiMe helps connect these decisions into a single workflow.
Making Document Automation More Accessible
Document generation remains a foundational business process, but creating and maintaining document automation solutions has traditionally required significant manual effort.
AiMe changes that — with intelligent template generation.
The new AiMe Template Generator can analyze existing Word documents and business data, automatically identifying relationships and creating reusable templates with merge fields already configured. What previously required extensive manual mapping can now be completed in a fraction of the time.
This makes document automation more accessible to more users while accelerating implementation and time to value.
Extending Intelligence Beyond the Conga Application
Perhaps most importantly, AiMe is no longer confined to a single application experience.
With the introduction of the Conga Model Context Protocol (MCP) Server, organizations can access Conga intelligence through AI assistants they already use, including Microsoft Copilot and Claude. Teams can find contracts, review obligations, check quote status, explore contract changes, and interact with Conga data without leaving their preferred AI environment. At the same time, AiMe continues to provide the deep commercial skills and workflows that generic AI assistants cannot deliver on their own.
As we often describe it, AiMe is the intelligence. MCP is the reach.
The Future of Connected Commercial Intelligence
The future of AI isn't about adding another assistant to your technology stack.
It's about embedding intelligence directly into the work that drives your business.
That's the vision behind AiMe. Whether helping a legal team negotiate contracts, enabling a pricing manager to forecast demand, supporting a seller through a complex quote, or automating the creation of business-critical documents, AiMe delivers intelligence where users work.
And as AiMe continues to expand across the Commerce Chain, organizations gain something more valuable than productivity alone: the ability to make smarter decisions, move faster, reduce risk, and operate as a truly connected business.
Frequently Asked Questions
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What's new with AiMe in Conga's October 2026 release?
The October 2026 release extends AiMe across the Conga Advantage Platform and brings it into the AI assistants your teams already use. The release includes:
- More than 90 tools and 19 skills powered by a single agent, AiMe
- AI-powered redlining, search, compliance, and clause library creation in Conga CLM
- Time Series Forecasting in Conga Price Optimization and Management
- Deal-level pricing guidance and rebate visibility in Conga CPQ
- The AiMe Template Generator for Document Automation
- The new Conga MCP Server
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What is AiMe?
AiMe is Conga's AI intelligence layer, built into the Conga Advantage Platform. It's designed for the workflows that drive revenue, helping your teams find information, automate decisions, reduce risk, and take action across contracts, pricing, quoting, rebates, and documents.
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How is AiMe different from other AI assistants?
Most AI tools are built for general productivity tasks. AiMe is built for commercial processes. It works with the data already inside Conga, so your teams can act on contract risk, forecasts, deal margins, and proposals instead of just searching for information.
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How does AiMe help legal and contracting teams?
Redline AI reviews negotiated language against your approved playbooks and flags favorable and unfavorable changes. Contract Search lets you ask questions in natural language, get AI-generated summaries, and compare contract language. Compliance capabilities flag regulatory and sanctions concerns before signature, and Clause Library Builder turns existing templates into searchable clause libraries in hours instead of weeks.
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How does Time Series Forecasting help pricing and revenue teams?
Time Series Forecasting uses your historical business data to project demand, costs, revenue, capacity, and utilization. Your teams can spot trends and anomalies earlier, so you can move from looking back at past reports to planning ahead.
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How does AiMe help sellers build more profitable deals?
In Conga CPQ, AiMe applies your pricing policies at the deal level, not just the product level, so large and complex deals protect margins. Rebate visibility shows how incentives affect profitability before agreements are final, cutting the manual work of reconciling pricing, incentives, and agreements.
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What does the AiMe Template Generator do?
The AiMe Template Generator analyzes your existing Word documents and business data, then creates reusable templates with merge fields already configured. That cuts most of the manual mapping it takes to build document automation solutions, so more users can create templates and reach value faster.
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What is the Conga MCP Server, and which AI assistants does it work with?
The Conga MCP (Model Context Protocol) Server brings your Conga data into the AI assistants your teams already use, including Microsoft Copilot and Claude. Your teams can find contracts, review obligations, check quote status, and explore contract changes without leaving their AI assistant.
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How is AiMe different from the Conga MCP Server?
The two work together. AiMe delivers deep commercial skills and workflows inside Conga, while the Conga MCP Server extends Conga data to the AI assistants your employees already use. AiMe is the intelligence. MCP is the reach.