Smarter Decisions. Faster Execution. Connected Commerce.
90+ AiMe tools, 19 skills, and a new MCP Server
AI-powered redlining, search, and compliance monitoring come to Conga CLM
Time Series Forecasting moves pricing from looking back to predicting ahead
Deal-level pricing controls and Quote Comparison help protect CPQ margins
Every organization is looking for ways to move faster without increasing risk. But as commercial operations become more complex, critical processes like pricing, quoting, contracting, and document generation often remain disconnected across systems and teams.
This release is about changing that.
Across the Conga Advantage Platform, we're introducing new intelligence, deeper connectivity, and easier ways to work. From bringing Conga data into the AI assistants your teams already use, to helping legal teams reduce risk, pricing teams make better decisions, and sales teams protect margins, every innovation supports a common goal: creating a more connected Commerce Chain where information, decisions, and actions flow seamlessly across the business.
AiMe and Model Context Protocol (MCP)
Bringing Commercial Intelligence into the Flow of Work
AI is becoming part of how modern businesses operate, but business leaders shouldn't have to learn another application to benefit from it.
This release expands AiMe across the Conga Advantage Platform while introducing the new Conga MCP Server. Together, they give organizations two complementary capabilities: deeper intelligence inside Conga and the ability to bring Conga data into the AI assistants employees already use.
Using Microsoft Copilot, Claude, and other MCP-compatible assistants, teams can access contracts, quotes, obligations, approvals, and other business information through natural language while continuing to work within their preferred AI experience. At the same time, AiMe continues to expand intelligent workflows across the Commerce Chain with more than 90 tools and 19 skills like Redline, Search, Compliance, Clause Library Builder, Time Series Forecasting, Quoting, Template Builder and more, that help users find information, automate tasks, and take action faster.
The result is simple: organizations can access commercial intelligence wherever work happens, instead of forcing users to jump between systems.
Read more about recent AI innovation: AiMe: AI Built for Commercial Operations | Conga
Contract Lifecycle Management (CLM)
Making Contracting Faster, Smarter, and More Connected
Contracting sits at the center of many commercial processes, making it one of the areas where AI can have the greatest impact.
This release introduces significant new capabilities across Conga CLM, including AI-powered redlining, enhanced contract search, compliance monitoring, automated clause library creation, and the new MCP server and MCP tools. Legal and contracting teams can find information faster, identify risk earlier, and streamline negotiations without sacrificing governance or control.
We’re also continuing to simplify contracting operations with streamlined workflows, easier setup experiences, enhanced amendment management, and new integrations that connect contracting more closely with procurement processes. New Supplier Portal capabilities extend contract visibility to suppliers, while SAP Ariba integration helps procurement and legal teams stay aligned throughout the sourcing and contracting lifecycle.
Through our new partnership with GC AI, the legal artificial intelligence (AI) platform built by in-house lawyers for in-house lawyers, purpose-built legal AI now works directly inside Conga CLM. GC AI drafts, reviews, and analyzes legal documents, and Conga CLM carries that intelligence through the rest of the agreement lifecycle. Legal teams get a faster path from first draft to signed agreement, plus the foundation to manage what comes after. Learn more about Conga and GC AI.
Read more about recent contracting enhancements: https://conga.com/products/conga-clm
Price Optimization and Management (POM)
From Predicting Change to Acting on It
Commercial leaders need more than visibility into what has already happened. They need confidence in what is likely to happen next.
New innovations in Conga Price Optimization and Management help organizations move beyond historical reporting and toward predictive decision-making. Time Series Forecasting introduces the ability to project demand, costs, revenue, utilization, and capacity using an organization’s own historical business data, helping teams identify trends and potential disruptions.
This release also expands Price Book Management and strengthens connections between pricing, rebates, agreements, and document automation. By connecting these processes more closely, organizations can improve pricing governance, operationalize complex pricing strategies, and create a more consistent path from commercial planning to execution.
For pricing and revenue leaders, this can provide greater visibility into their organization’s future business conditions and a stronger ability to act on those insights.
Read more about recent pricing innovation: https://conga.com/platform/price-optimization-management
Document Automation
Making Powerful Automation Easier to Use
Document generation is one of the most common business processes, yet building and maintaining document automation solutions often requires significant effort and technical expertise.
This release focuses on changing that.
The new AiMe Template Generator uses AI to convert existing Word documents and business data into reusable templates, dramatically reducing the manual effort traditionally required to build document automation solutions. New Document Merge experiences, guided solution deployment capabilities, and event-driven API enhancements help organizations deploy solutions faster and scale them more easily.
Together, these innovations lower the barrier to document automation while helping customers accelerate time to value.
Read more about new document automation features and capabilities: Conga Composer October 2026 Release: AI Templates & More | Conga
Configure Price Quote (CPQ)
Protecting Margins While Accelerating Revenue
Growth remains important, but profitable growth matters more.
This release introduces several CPQ enhancements designed to help sales, pricing, and revenue teams improve deal quality while keeping business moving. New deal-level pricing controls help organizations govern pricing beyond the individual line item, ensuring larger and more complex opportunities remain aligned with corporate pricing policies.
It brings tighter integration between Smart CPQ, Rebate Management, and Agreements, creating a more connected commercial workflow. Sellers can see applicable incentives during quoting, understand how rebates affect deal economics, and create or link rebates directly within the quote-to-agreement process.
The result is greater transparency into profitability before a deal is approved and less reliance on manual calculations, disconnected systems, and downstream reconciliation. By connecting pricing, incentives, and agreements into a single workflow, organizations can negotiate with greater confidence while protecting margins and improving commercial execution.
Deal-level pricing guidance extends governance beyond individual products and into the economics of the entire agreement. Rather than evaluating discounts one line at a time, organizations can apply pricing policies across the full quote, helping ensure large and complex deals remain aligned with margin objectives and approval processes. New AI-assisted quoting experiences further simplify quote creation and help sales teams deliver more consistent outcomes.
The release also introduces Quote Comparison, allowing sellers and buyers to evaluate multiple quote scenarios side by side and arrive at the right commercial outcome faster. Together, these enhancements help sales, revenue operations, pricing, and finance teams align around more consistent and profitable deal execution.
These innovations bring pricing discipline, profitability, and quoting efficiency together in a single workflow, helping organizations improve both revenue performance and customer experience.
Read more about new features within CPQ: Conga October 2026 Release: Pricing and Rebate Updates| Conga
One Commerce Chain. One Connected Future.
While these innovations span multiple products, they are connected by a common vision.
We're helping organizations move beyond disconnected processes and isolated decisions toward a connected Commerce Chain where pricing, quoting, contracting, rebates, and document automation work together as a unified commercial system. Through intelligence, ease of use, and connectivity, this release gives organizations the tools to make better decisions, move faster, reduce risk, and deliver better experiences for both employees and customers.
I'm looking forward to seeing how our customers put these innovations to work, finding new ways to simplify complexity, accelerate growth, and unlock more value across their Commerce Chain.
Frequently Asked Questions
-
What’s new in Conga’s October 2026 release?
The October 2026 release brings new intelligence, deeper connectivity, and easier ways to work across the Conga Advantage Platform. The release includes:
- The new Conga MCP Server and expanded AiMe capabilities
- AI-powered contracting in Conga CLM
- Time Series Forecasting in Conga Price Optimization and Management
- The AiMe Template Generator for Document Automation
- Deal-level pricing controls and Quote Comparison in Conga CPQ
-
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. With Microsoft Copilot, Claude, and other MCP-compatible assistants, you can use natural language to pull up contracts, quotes, obligations, approvals, and other business information. You get answers without leaving the AI assistant you already work in.
-
How is AiMe different from the Conga MCP Server?
The two work together. AiMe adds intelligence inside Conga, with more than 90 tools and 19 skills, including Redline, Search, Compliance, Clause Library Builder, Time Series Forecasting, Quoting, and Template Builder. The Conga MCP Server brings Conga data out to the AI assistants your employees already use. With both, commercial intelligence is available wherever work happens.
-
What’s new in Conga CLM?
Conga CLM adds AI-powered redlining, better contract search, compliance monitoring, automated clause library creation, and new MCP tools. The release also brings simpler workflows, easier setup, improved amendment management, and new Supplier Portal capabilities that give suppliers visibility into their contracts. SAP Ariba integration keeps procurement and legal teams aligned from sourcing through contracting.
-
How does Time Series Forecasting help pricing and revenue teams?
Time Series Forecasting uses your historical business data to project demand, costs, revenue, utilization, and capacity. Your teams can spot trends and potential disruptions earlier, so you can move from looking back at past reports to planning ahead.
-
What does the AiMe Template Generator do?
The AiMe Template Generator uses AI to turn your existing Word documents and business data into reusable templates. That cuts most of the manual effort it takes to build document automation solutions. New Document Merge experiences, guided solution deployment, and event-driven API enhancements help you deploy faster and scale more easily.
-
How do deal-level pricing controls protect margins?
Deal-level pricing controls apply your pricing policies to the full quote instead of reviewing discounts one line at a time. Large, complex deals stay aligned with your margin objectives and approval processes, so you can see profitability before a deal is approved.
-
How does Conga CPQ connect quoting, rebates, and agreements?
This release tightens the integration between Smart CPQ, Rebate Management, and Agreements. While quoting, sellers can see the incentives that apply, understand how rebates affect deal economics, and create or link rebates directly within the quote-to-agreement process. That means fewer manual calculations and less cleanup after the deal closes.
-
What is Quote Comparison?
Quote Comparison lets sellers and buyers review multiple quote scenarios side by side. Both sides reach the right commercial outcome faster, with more consistent deals.