IBM Uses Conga’s Open AI Platform to Modernize CPQ and CLM

IBM plugged in its own AI Platform, watsonx, to build virtual assistants that handle 74% of support requests, giving back hours to global sales force

Business Outcomes

74%

of seller support inquiries handled by virtual assistant

50K

automated quotes produced

37K

seller hours returned to revenue generating activities

30%

of quotes include automated recommendations

IBM - Customer Conversations Connect thumbnail

IBM – Customer Conversations

challenge

Challenge

IBM’s customers run some of the most complex and demanding IT environments. They rely on IBM servers, software, and storage to power their enterprise data centers. And it’s the job of IBM’s Technology Lifecycle Services team to ensure that salespeople receive the support they need.

Before Conga, IBM’s internal sales processes were manual and disjointed. “We had different systems around the world and different processes that had built up over time,” said Jessica Murillo, Chief Operating Officer of IBM Technology Lifecycle Services.

To continue meeting the demands of its customers with high-tech solutions required equally high-tech internal processes. “We support over 11,000 hardware and software offerings in 140 countries,” said Murillo. “We continue to service and handle over 2 million support cases from customers every year at a very high 98% first time fix.”

Staying at the forefront of technology means IBM doesn’t just build innovative solutions, but is equally demanding about the tools they use internally. So when it came time to modernize contract operations IBM turned to Conga. “Throughout our whole stack, even in the support space as well, we had a lot of modernization happening,” said Caryn Woodruff, Chief Digital Officer, IBM Infrastructure. “It was very iterative. We took a very agile approach.”

Conga helped IBM steadily advance the connected process that supports its broader commerce chain—from quoting to contracting to ongoing support.

Solution

Solution

First, IBM rolled out Conga CPQ to automate the configure price quote process. This followed with Conga Contract Lifecycle Management (CLM) to automate contract workflows. To ensure adoption, IBM created change management specialists and a seller council. “Having stakeholders that are real catalysts, kind of super users, was huge for us,” said Woodruff. 

Conga Works with Your Existing Technology Investments, Not Against Them

Next, IBM targeted renewals. Conga’s open architecture enabled the team to use IBM’s own AI solution, watsonx, alongside the Conga solutions, creating a virtual renewal assistant. “When it gets toward the end of the quarter, you can't slow down deals,” said Murillo. “By having this virtual assistant, it frees up the seller to work any time, from anywhere. They can do tasks like generating reports or requesting updates on their quotes or contracts.” 

  • Before, sellers were creating renewals manually with spreadsheets. Now, renewals are auto-generated six months in advance with upsell recommendations.
  • Sellers manage contacts and notifications through a Renewals Dashboard, while clients can respond directly from the email—streamlining communication. 
  • Intelligent reporting and dynamic pricing are integrated directly with Conga CPQ, giving a consolidated view of renewal and expansion opportunities.  
Results

Results

  • 74% deflection rate: The automated renewals assistant handled the majority of inquires, about 20,000 requests, in one year without human intervention.
  • 50,000 quotes created, saving 37,000 hours (YTD): The Renewals Dashboard has simplified quote creation, driving sales efficiency and productivity. 
  • Over 30% of quotes include automated recommendations: The data-driven upsell strategies received strong adoption across the sales team.   

What we've been able to create between IBM and Conga is really shared value creation, which is so key to developing that strong foundation that's lasted us eight or more years. Conga saw the value of having 10s of 1000s of items in your cart and helped us with our large part solution, and we're seeing the benefits of some of these customizations now making it into the Conga Advantage Platform, which we're so excited about moving to later this year.

Jessica Murillo headshot

Jessica Murillo

Chief Operating Officer @ IBM Technology Lifecycle Services

IBM’s most complex requirements didn’t just get solved, they helped shape Conga’s product roadmap. Eight years in, IBM and Conga are still building and the best of what they’ve created together is now becoming available to every customer that follows.

Conga is a critical piece of that end-to-end chain and has been a really terrific partner. All the automation we've put in place in terms of generation of renewals, optimal price, optimal quote, and auto notifications to clients gives hours back to our sellers so that they can go impact our bottom line.

Caryn Woodruff headshot

Caryn Woodruff

Chief Digital Officer, IBM Infrastructure

About the client:

User icon

IBM (International Business Machines Corporation)

Technology

Technology

Location icon

Armonk, New York

Products used:

Conga CPQ icon

Conga CPQ

CLM icon

Conga CLM

Advantage Platform

Conga Advantage Platform

IBM (NYSE: IBM) is an American multinational technology company with a presence in over 175 countries. IBM is recognized as the world’s largest industrial research organization, operating 19 research facilities across more than a dozen countries.

FAQs

  • Can Conga CPQ and CLM work with existing AI platforms?

    Yes. Conga CPQ and CLM are built on an open, platform-agnostic architecture, which means they connect with the AI tools and systems your teams already use without forcing a rip-and-replace of your existing tech stack. Out-of-the-box connectors and open APIs allow Conga to automate lifecycle processes across any CRM, any ERP, and any cloud, working alongside existing solutions without requiring an overhaul. 

    On the AI side, Conga's own purpose-built AI, AiMe, is embedded directly into the platform. AiMe connects data, predicts next-best actions, automates tasks, and adapts in real time, helping organizations eliminate operational blind spots, accelerate decision-making, and improve commercial performance. For CLM specifically, AI agents can discover insights, mark up redlines, and build clause libraries, while CPQ benefits from AI agents for quote creation and AI-driven price optimization at the point of sale.

  • How does Conga CPQ automate the renewal process?

    Conga CPQ removes the manual work from renewals by automating the creation of renewal opportunities and quotes before a subscription is due. Teams can automate the renewal process by creating opportunities and generating quotes before subscriptions are up for renewal, so reps aren’t scrambling to catch up when contract end dates arrive. 

    And, when integrated with Conga Contract Lifecycle Management (CLM), the process gets even tighter. By integrating CPQ with your other contract processes, teams can automate renewals based on preciously agreed-upon terms, eliminating the need to rebuild quotes or chase down old deal data. 

    Critical contract end dates are tracked automatically, with notifications sent when a contract is ending, giving sales teams the lead time they need to engage customers and protect revenue.

  • What are the benefits of integrating CPQ and CLM?

    Together, Conga CPQ and CLM connect two of the most critical steps in the commerce chain, keeping deals moving from configuration to executed contract without the gaps that cost time and margin. 

    When CPQ and CLM work together, the handoff from quote to contract stops being a friction point. Instead of copying deal terms across systems or waiting on legal to reconstruct what sales agreed to, the data flows automatically from the quote into the contract.

    Key benefits include:

    • Faster cycle times. Contracts are generated from quote data already in the system, cutting the time between close and signature.
    • Greater accuracy. Renewal quotes are automated based on previously agreed-upon pricing and terms, reducing errors that come from manual data entry.
    • Consistent terms and pricing. Sales and legal work from the same record, so negotiated terms don't get lost or overwritten in translation.
    • Fewer compliance risks. Pre-approved clause libraries and approval workflows in CLM give legal teams guardrails without slowing deals down.