Chad Corriveau · ThinkRoot
A technically superior product is not enough. The market has to learn how to evaluate it correctly. That is the work. If your product is ahead of its story, this is what closing that gap looks like at enterprise scale.
Three disciplines. One through-line. The principles below are not a methodology deck — they are what each of these cases required in order to work.
The narrative does not begin with the product. It begins with the thing the buyer is trying to believe but does not have language for. The product goes inside that frame, not the other way around.
AIOps and predictive intelligence were delivering real outcomes for enterprise IT. Measurable reduction in incident volume, faster MTTR, proactive anomaly detection. But the market had no vocabulary for what it was evaluating. Buyers were skeptical in a way that was hard to counter. They couldn't picture the capability in their environment because they'd never seen a credible reference for it.
The Gartner Magic Quadrant evaluation was the lever. Positioning in the MQ shapes buyer perception before RFPs go out. Missing the window meant giving competitors the credibility foundation instead.
A full analyst engagement program built as narrative architecture, not a briefing deck. Multi-touchpoint strategy structured around analyst decision criteria, with a competitive intelligence infrastructure that mapped how every major competitor was positioning their ML capabilities and where their narrative was vulnerable. The Forrester Wave strategy ran in parallel: different evaluation criteria, different analyst relationships, different proof point requirements.
ServiceNow Technology Workflows portfolio across ITSM, ITOM, AIOps, and predictive intelligence. The competitive intelligence program tracked 14 direct competitors across all major evaluation windows. Analyst briefing programs managed across Gartner, Forrester, IDC, and Omdia simultaneously. Field seller enablement cascaded to 3,000+ reps.
ServiceNow established as a credible AI leader in IT operations before enterprise buyers formed their own opinions. Gartner MQ positioning secured. Forrester Wave evaluated favorably. The competitive intelligence infrastructure created a permanent early-warning system for analyst cycle shifts that ran well past the initial engagement.
Chad has a unique strength to think outcomes first, and then layer in the technical requirements to meet those goals.
Matt Gowarty · Director, Product Marketing, IT Operations
Three years ago ownership was clear. DevOps owned deployments. Security owned vulnerabilities. IT Ops owned incidents. Each team had its tools, its tickets, its SLAs. The handoffs were messy but the ownership was never in question.
Then the AI agents arrived. Not as a strategy. As a series of individual decisions. Each agent was defensible in isolation. The complexity emerged in the seams.
One scenario every person in the room had lived: a critical vulnerability at 11pm on a Friday. The old world — three Slack channels, a war room call at midnight, four teams arguing about change windows, resolution in six hours. The Axiom Signal world — three agents under a unified governance policy. Security flagged the CVE. The policy engine evaluated blast radius, scheduled within an approved change window, notified the on-call chain, executed, validated, and closed the incident. Audit trail complete. One human checkpoint. Ninety seconds of observable orchestration.
The demo did not describe the product. It made the audience feel the gap between where they were and where they could be. That is the only demo that works at enterprise scale.
Fictional enterprise platform · TDCI demo environment · View full platform →
Every buying decision happens inside someone else's framework. An analyst's evaluation criteria, a CIO's risk calculus, a practitioner's prior experience. The work is to understand that framework before writing a word of messaging.
The GenAI category exploded faster than enterprise buyers could process it. Every major enterprise software vendor made the same credibility claim simultaneously. "AI-powered," "generative AI built in," "your workflows, now with AI." Differentiation was collapsing as the category accelerated.
ServiceNow's AI story had to work across multiple workflow domains simultaneously: DevOps, Security Operations, Risk & Compliance, IT Service Management, and AIOps. At the same time, the market shift toward distributed work had accelerated demand for native communications integrations across MS Teams, Zoom, and Slack, with CSDM providing the data architecture underneath it all. Each domain had distinct buyer personas, different objection sets, and different degrees of AI readiness. One platform narrative had to be true across all of it.
The cross-portfolio GenAI narrative for Now Assist. A unified positioning architecture that created coherent platform differentiation against a field where every competitor was racing toward identical claims. The counter-narrative was built around workflow specificity: not "AI that does more," but "AI that knows the context of your specific workflow and acts within it." Forrester Wave positioning strategy developed in parallel, with competitive intelligence tracking 11 direct competitors.
Full Technology Workflows portfolio spanning IT Service Management, DevOps, Security Operations, AIOps, Risk, and CSDM. Comms integration positioning covered MS Teams, Zoom, and Slack as native workflow surfaces at a moment when enterprise IT was rebuilding how distributed teams operated. Field enablement reached 3,000+ sellers across North America, EMEA, and APAC with role-specific narrative training. APAC coverage included Solution Consultant training in Tokyo for Japan Tobacco International and Japan Railways.
Platform differentiation held in a commoditizing market. Forrester Wave placement secured. Field confidence rebuilt after the category acceleration left sellers without a coherent competitive counter-narrative. The workflow specificity frame became the primary competitive positioning across the portfolio and the architecture competitors had to respond to.
He doesn't just know the platform inside and out; he understands what customers need to hear and see to truly get it.
Adam Armstead · Product Design Leader · ServiceNow
The TDCI measures exactly this — whether a demo script proves the claim or just describes the product. Score yours free in under a minute.
A demo that describes a product is forgettable. A demo that makes the audience feel the gap between where they are and where they could be is not. The narrative determines what the demo must prove, not the other way around.
The ServiceNow Knowledge mainstage is one of the largest enterprise software keynotes in the world. 20,000 attendees. IT practitioners, enterprise CIOs, platform architects, press, and analysts, all in the same room for a single 90-minute story. The narrative had to work for all of them simultaneously, which means it could not be optimized for any one of them specifically.
The deeper challenge across all three years was narrating a category that was still forming. The arc moved from Service Operations, the convergence of ITSM and ITOM into a unified operational model, toward Autonomous IT: a world where IT, OT, and Security agents work alongside humans, responding and resolving on human terms without requiring humans to orchestrate every step. Buyers had no mental model for the destination. The story had to build that model before it could put a product inside it.
The full keynote narrative architecture across three years: story structure, scene sequencing, live demo architecture, proof point selection, and the through-line that made the platform story coherent as the category evolved. Year one established the Service Operations convergence story. Knowledge24 built the GenAI and Now Assist layer on top of that operational model, with BT Group and Travelers as the enterprise customer proof points anchoring the IT keynote. Knowledge25 made the case for Autonomous IT, with Stellantis as the anchor customer: IT and OT agents operating in concert with Security, doing work at machine speed while remaining legible and controllable at human scale. The live demo was engineered to be technically credible to practitioners in row 3, comprehensible to an executive who has never seen the product, and generate press-worthy moments on a repeatable basis.
Full mainstage narrative from story brief to delivery across three years. Knowledge24 IT keynote: Service Operations convergence with the GenAI and Now Assist layer, anchored by BT Group and Travelers as enterprise customer proof points. Knowledge25 IT keynote: Autonomous IT with Stellantis, positioning IT and OT agents operating alongside Security at machine speed. Post-keynote field enablement cascaded the narrative to 3,000+ field sellers for the next 12 months each cycle.
Three consecutive Knowledge mainstages. 20,000+ attendees each year. The Autonomous IT category arc landed coherently across practitioners, executives, and press, moving from Service Operations convergence through GenAI to agentic automation where IT, OT, and Security agents work with humans on human terms. The narrative architecture built for each year became the competitive frame the field carried for the twelve months that followed.
He has helped me many, many times by translating complex technical concepts into clear messages that work for both technical and non-technical audiences.
Bruce Ward · Keynote Demos · DemoEasel Co-founder
Principle 04 · The Through-Line
Mainstage work is only complete when the platform story can be carried at individual rep level without the PMM in the room. Field enablement is not a follow-on task. It is the actual deliverable. The three cases above are not separate engagements. They are three phases of one continuous narrative system, and the system is what made each individual piece worth building.
North America, EMEA, and APAC. Solution Consultant training delivered in Tokyo for Japan Tobacco International and Japan Railways. Field narrative translated across language and cultural context without losing technical accuracy or competitive precision.
Analyst briefing programs across Gartner, Forrester, IDC, and Omdia. Competitive intelligence tracking 14 direct competitors. Mainstage narrative architecture for 20,000+ attendees. Post-keynote enablement cascaded to 3,000+ sellers and 12,000+ technical practitioners. One narrative system across all of it.
Next Step
The work above is three versions of the same underlying challenge: a technically superior product in a market that does not yet have the vocabulary to evaluate it correctly. If that is the situation you are in, that is where this work starts.
Fractional advisory engagements for technical founders, product marketing leaders, and enterprise GTM teams working through genuinely complex narrative architecture challenges.
Start the conversation →Keynotes, workshops, and breakout sessions for conferences and enterprise events where the audience is technically literate and demands a speaker who has actually done the work.
Speaking inquiry →Evaluating for a senior role? The work above is the case. LinkedIn and direct contact are both open.
