AI-Powered GTM: Iris CRO on Guardrails, Stakeholders, and the DEA Playbook

Summary

AI is transforming go-to-market, but without the right guardrails and operators, it creates more noise than revenue.

Paul Quintal, Chief Revenue Officer at Iris, a global identity and cyber protection provider, shares how he builds a compliant, AI-enabled GTM engine while keeping the human edge.

With 20+ years leading revenue at companies from startup to IPO/acquisition, Paul explains where AI delivers real value today—signal gathering, knowledge-base assisted support, and hyper-personalized outreach—and where interoperability still lags. He walks through Iris’s vertical market strategy (TAM/SAM/SOM), the compliance hurdles of tools like ZoomInfo across US and GDPR, and how to map the true buying committee beyond the CISO to Product and Finance.

Paul also details his operating frameworks—DEA (Discipline, Execution, Accountability) and DOORS (Deliver on time, on budget, with referencable clients)—plus practical tactics for standing out in an AI-saturated inbox: permission-based, six-sentence emails, and yes, picking up the phone.

Expect candid, operator-level advice on turning AI signals into pipeline without abandoning the fundamentals.

Timestamps

[00:21] – Paul’s background: from dot-com sales to CRO/operator across IPOs and acquisitions

[02:00] – AI in GTM: real use cases, limits, and why guardrails/interoperability matter

[07:20] – When breaches hit: AI-assisted knowledge bases to stabilize call centers and NPS

[08:50] – Personalization at scale: custom outreach that clears spam and earns replies

[11:46] – Building a compliant GTM engine: ZoomInfo, GDPR hurdles, and vertical TAM/SAM/SOM

[15:23] – The DEA playbook: discipline, execution, accountability—and why the phone still wins

[16:42] – Find the right “pew”: mapping decision makers across CISO, Product, and Finance

[22:38] – DOORS framework: deliver on time, on budget, with referencable clients

Takeaways

- Establish AI guardrails and integrations across CRM and support tools to turn signals into workflows.

- Build vertical hunt lists with TAM/SAM/SOM; use AI for sequencing, but drive outcomes with live calling.

- Personalize outreach: ask permission, keep emails to six sentences, and avoid generic LinkedIn requests.

- Multi-thread deals: include CISO/CIO, Product (API integration), and Finance (revenue impact) in the buying group.

- Prepare for breach-driven volume spikes with AI-assisted knowledge bases to protect NPS and response times.

- Operationalize with frameworks: enforce DEA and DOORS to align activity, quality, and credibility at scale.