Conga Wants to Help get Your Revenue in Line with New Commerce Orchestration Tools

For enterprise growth organizations, the "revenue engine" often feels more like a collection of separate machines. Marketing generates leads, Sales builds quotes, Legal reviews contracts, and Finance manages renewals—all using different tools, different data, and different timelines. As Conga CEO Dave Osborne puts it: “between CRM and ERP, is seemingly endless complexity.” For Chief Revenue Officers (CROs) and growth leaders, this fragmentation is one o the largest barriers to predictable, scalable success.

At the Conga Connect 2026 conference in Orlando, Conga announced a sweeping set of platform-wide advancements designed to solve this exact problem. By doubling down on "Connected Commerce," Conga is moving beyond contract management, CPQ, pricing and document automation to provide a unified, intelligent layer that aligns every stage of the commercial lifecycle. As part of a large scale rebrand, the company has changed its tagline to “Commerce, Lined Up” which speaks to this unification vision for revenue teams.

Here is a breakdown of what was announced and why it matters for those responsible for the bottom line.

AiMe: Conga’s New Agentic Fabric Creates “Commerce Chains”

The headline of the announcement is AiMe, Conga’s new unified agentic AI layer. While AI has become a buzzword in B2B tech, Conga’s approach is notably practical. Built directly into the Conga platform, AiMe is designed to be agentic and proactive for stakeholders across the “commerce chain” (think agents for sales, legal, admins, RevOps, etc.).

For a CRO, this is a pivot from descriptive analytics (what happened?) to prescriptive action (what should we do next?). AiMe works across the commerce chain to:

• Predict Next-Best Actions: Helping reps identify which deals are likely to stall and what terms are most likely to close.
• Automate Manual Tasks: In Contract Lifecycle Management (CLM), new AI agents can now discover insights, markup redlines, and even build clause libraries automatically.
• Optimize Pricing: Within the CPQ (Configure, Price, Quote) environment, AI agents can now assist with quote creation and price optimization at the point of sale.

For growth leaders, this means higher win rates and lower deal friction. When AI handles the "heavy lifting" of redlining and pricing calculations, your sales team can spend more time selling and less time navigating administrative hurdles. It is also important to note that the data and other information inside Conga’s platform is typically of higher quality than, say, a sales automation tool containing only opportunity data. The critical historical data contracts, pricing, product info, etc. can power very effective agentic flows - which can both drive exponentially more productive workers along the commerce chain, but also learn over time to even further optimize deals and contracts based on which closed with the lease friction in the past.

In addition to the debut of AiMe, Conga also announced a slew of new capabilities across its portfolio:

CPQ: New AI agents for quote creation and AI-driven price optimization at the point of sale.

POM: AI-powered decision support and closed-loop value measurement for delivering commercial excellence. Long-term deal negotiation with full profit and loss visibility across pricing and rebates.

CLM: Enterprise CLM, expanded integrations with Microsoft Dynamics and SAP, and new AI agents to discover insights, markup redlines, and build clause library.

Document Automation: Easier onboarding and AI tools to auto-configure and generate document templates.

Breaking the Ecosystem Silos: Microsoft Dynamics and Beyond

One of the most significant strategic shifts announced is Conga’s "platform-agnostic" approach. Conga revealed that its Advantage CPQ and CLM solutions are now available for early access on Microsoft Dynamics 365 and the Azure Marketplace. This is a massive win for organizations that operate outside the Salesforce ecosystem or maintain a multi-CRM environment. Historically, choosing a top-tier CPQ or CLM often meant being locked into a specific CRM. By expanding into Microsoft Dynamics and SAP, Conga is ensuring that revenue teams can use best-in-class tools within the workflows they already inhabit.

For a CRO, this simplifies the tech stack and accelerates time-to-value. It removes the "integration tax" that often kills the ROI of new software deployments.

Growth Leaders Need to Prioritize Orchestration

Why should this announcement be on the radar of every growth leader this year? Because revenue leakage usually happens in the "seams" between departments.

1. Shortening the "Quote-to-Cash" Cycle: The new enhancements to Price Optimization and Management (POM) offer full profit-and-loss visibility across pricing and rebates. When leaders can see the impact of a discount on the total deal margin in real-time, they can empower reps to make faster, smarter decisions without waiting for multiple levels of management approval.

2. Reducing Operational Blind Spots: According to Conga’s own research released alongside the event, 93% of companies struggle to close deals across Sales, Legal, and Finance. Conga’s focus on a "unified data" approach via the Advantage Platform ensures that everyone is looking at the same version of the truth. When the contract reflects the quote, and the invoice reflects the contract, the risk of disputes and revenue leakage drops significantly.

3. Scaling with Intelligence, Not Just Headcount:  In a "growth at all costs" era, companies scaled by hiring more people. In today’s "efficient growth" era, CROs must scale through productivity. Conga’s introduction of AI-driven document automation and auto-configuring templates allows a lean operations team to handle a much higher volume of transactions without a corresponding increase in overhead.

The Takeaway

The theme of Conga Connect 2026 was clear: outsmarting business complexity to “line up commerce.” For the modern CRO, the goal is no longer just "more leads" or "more reps." It is about creating a frictionless, connected experience for the buyer that is equally efficient for the seller. By integrating AI deeply into the workflow and expanding its reach across major software ecosystems, Conga is providing the infrastructure for the next era of connected commerce.

As organizations look toward 2027 and beyond, the winners will be those who turn commercial complexity into a competitive advantage. With these new platform advancements, Conga is making a strong case that they are the partner to help them do it.