Zaelab is heading to ServiceNow Knowledge 2026, May 5–7 at the Venetian Resort and Wynn in Las Vegas. We’re showing up this year with a full agenda of exclusive events, executive conversations, and hands-on CPQ expertise to the floor.
We're the only ServiceNow partner that treats CPQ as the starting point for full revenue transformation. It’s not just a quoting tool, but the front door to a connected system that ties configuration, pricing, CRM, order management, and fulfillment together on a single platform.
As a ServiceNow Ecosystem Ventures-backed partner, Logik.ai's first-ever Lightspeed partner, and a team that's deployed ServiceNow CPQ across some of the most complex B2B selling environments in the market, we bring a complete revenue framework with the implementation track record to back it up.
What Is ServiceNow Knowledge 2026?
ServiceNow Knowledge is the platform's flagship annual conference, bringing together enterprise technology leaders, developers, partners, and practitioners for three days of keynotes, breakout sessions, hands-on labs, and live demos.
Knowledge 2026 features over 1,000 sessions spanning AI, workflow automation, CRM, security, and enterprise operations. For revenue operations leaders, CIOs, and digital transformation executives at manufacturing and distribution companies, it's the single best place to see where ServiceNow is heading, pressure-test your roadmap against what's coming, and walk away with a clear plan to accelerate your CRM and CPQ initiatives.
Why CPQ Is the Conversation at Knowledge 2026
If you're attending Knowledge 2026 as a manufacturer or distributor, you already know: CPQ implementation is no longer a back-office project. It's a strategic initiative that determines how fast you can quote, how accurately you can price, and how seamlessly you move from configuration to cash.
What's changed is the scope of ambition. ServiceNow is positioning CPQ not as a standalone quoting tool, but as the front end of a unified quote-to-cash workflow — one that connects product configuration, pricing logic, approvals, order management, and fulfillment on a single platform. That's a fundamentally different proposition from the bolt-on CPQ tools most enterprises have been running.
The challenge is that CPQ implementation complexity is growing faster than most teams can manage:
- Product catalogs are getting deeper.
- Configuration rules are getting more intricate.
- Pricing models are layering in volume tiers, contract terms, regional adjustments, and channel-specific logic.
For manufacturers attending Knowledge 2026, the main question is how to scale configuration logic without adding admin headcount, and how to modernize without disrupting your operations.
That's the exact conversation we've been having with B2B enterprises for years, and it's what we'll be talking about on the floor in Las Vegas.
Agentic AI and CPQ — What ServiceNow Knowledge 2026 Will Reveal
ServiceNow has made agentic AI a centerpiece of its 2026 platform strategy, and the implications for CPQ are significant. Unlike traditional AI that answers questions or suggests next steps, agentic AI operates autonomously — diagnosing, planning, and executing multistep workflows to achieve specific outcomes. ServiceNow's AI Agent Studio, AI Agent Fabric, and AI Control Tower are all purpose-built to make this work at enterprise scale, with the governance and auditability that regulated industries require.
For CPQ specifically, agentic AI opens the door to capabilities that were theoretical even a year ago:
- Think autonomous quote generation, where an AI agent assembles a configured quote based on customer history, current pricing rules, and contract terms without a rep manually building it line by line.
- Think real-time pricing validation that flags margin risks or policy violations before a quote ever reaches an approver.
- Think guided selling experiences that adapt dynamically based on buyer behavior and product compatibility, without requiring a sales engineer to intervene.
We’re especially excited to share how ServiceNow's recently launched AI-powered CPQ sales tools and its expanded CRM AI Agents work in practice. Zaelab has been building CPQ on ServiceNow since the earliest days of the platform's CRM push. If you're attending Knowledge to figure out what agentic AI means for your quoting and selling workflows, come find us at Booth #5752.
ServiceNow CRM + CPQ: The Revenue Architecture Story
Here's the angle most Knowledge 2026 attendees haven't fully connected yet: ServiceNow CRM and CPQ aren't two separate products that happen to live on the same platform. Together, they form a revenue architecture — a unified system where account data, service history, configuration logic, pricing, order management, and fulfillment all share the same data model and workflow engine.
This matters enormously for manufacturers and distributors still running a Salesforce + legacy CPQ stack, which is a more common setup than most people realize. In that architecture, CRM lives in one system, CPQ in another, ERP in a third, and some combination of middleware and manual processes holds it all together. Every integration point is a potential failure point. Every data handoff introduces latency and error risk. And every time your product catalog changes, you're updating multiple systems.
ServiceNow's approach collapses that stack. CRM unifies account intelligence, customer engagement, and service history. CPQ sits at the front of the revenue workflow, handling configuration, pricing, and quoting. Together, they create a single thread from first customer interaction to fulfilled order with AI operating across the entire chain.
For organizations evaluating CPQ implementation or CRM modernization, this is the architecture conversation to be having at Knowledge 2026.
Instead of asking "which CPQ tool should we pick?", ask "how do we build a revenue system that doesn't require six integrations to generate an accurate quote?"
What Zaelab Is Bringing to ServiceNow Knowledge 2026
Zaelab is hosting a private Executive Suite at the Venetian for focused conversations about CRM, CPQ, and revenue transformation with VP-level and senior executives. We're also running a series of networking events throughout the week, including a CPQ Transformation Lunch, an Executive Dinner, and the Women of ServiceNow CRM Breakfast.
Here's why you should meet us — and what sets us apart from other ServiceNow implementation partners:
- ServiceNow Ecosystem Ventures-backed. ServiceNow invested in Zaelab through its Ecosystem Ventures program to accelerate CRM-driven enterprise modernization. That investment reflects a strategic alignment with Zaelab is building the practice and the tooling ServiceNow needs to scale CPQ adoption across manufacturing and technology.
- First-ever Logik.ai Lightspeed and Orbit Partner. Logik.ai powers the configuration engine inside ServiceNow CPQ, and Zaelab holds the distinction of being their first Lightspeed partner. Our LogiKit™ accelerator is built on a proprietary CPQ configuration library with AI-backed automated testing, designed to compress implementation timelines and reduce delivery risk.
- Real deployments with business impact. Organizations like Panduit, U.S. LBM, Lonza, CORT, Tuff Shed, and Miratech rely on Zaelab to design and implement scalable CRM and CPQ solutions that accelerate deal cycles, improve quoting accuracy, and unlock new revenue.
- Senior leadership on the ground, including CEO Evan Klein, COO Adam Menzies, CCO Alex Bell, and Director of Solution Engineering Sean McVay — ready for strategic conversations about CPQ roadmaps, revenue architecture, and where AI fits into your selling workflows. We're not just an implementation partner; we're a long-term advisory partner invested in helping you get the architecture right from the start.
The CPQ Questions We're Ready to Answer at Knowledge 2026
If you're heading to Knowledge and CPQ is on your agenda, here are the questions we hear most, and the ones we're best positioned to answer.
How long does a ServiceNow CPQ implementation actually take? It depends on complexity, but Zaelab's LogiKit™ accelerator significantly compresses timelines compared to building from scratch. For many manufacturers, we're talking months, not years, especially when configuration logic is well-documented upfront.
Can ServiceNow CPQ handle engineer-to-order product complexity? Yes, but the implementation approach matters. Logik.ai's configuration engine is purpose-built for deep product logic, and Zaelab has deployed it across industries with some of the most complex product catalogs in B2B — from building materials to electrical equipment to industrial manufacturing.
What's the real difference between ServiceNow CPQ and Salesforce CPQ? The short answer: architecture. Salesforce CPQ is a quoting layer bolted onto a CRM. ServiceNow CPQ is part of a unified platform that connects quoting to order management, fulfillment, and service — with a shared data model and AI layer across the entire workflow.
How does CPQ connect to our ERP without custom middleware? ServiceNow's Integration Hub and Workflow Data Fabric are designed to connect to ERP systems natively. Zaelab has built repeatable integration patterns for SAP, Oracle, and other major ERPs that reduce custom development and ongoing maintenance.
Is our current CPQ past the complexity threshold for modernization? If your sales team is working around the system instead of through it — manually adjusting quotes, escalating routine configurations, or maintaining pricing logic in spreadsheets — it's time. A CPQ maturity assessment is the fastest way to know for sure.
Come Find Us at ServiceNow Knowledge 2026
Zaelab will be at the Venetian throughout Knowledge 2026, May 5–7. Our Executive Suite is open for curated conversations with senior leaders, and our team will be available across the conference for meetings, demos, and informal discussions.
Book a Meeting with Zaelab at Knowledge 2026 →
Can't make it to Knowledge? We get it — Las Vegas in May isn't on everyone's calendar. If you're working through CPQ strategy, CRM modernization, or revenue architecture decisions and want to talk it through with a team that's done it before, we're here for that too.
