14 Agentic AI Agents. 5 Buying Personas. 3 Languages. One GTM Engine.
A sports media and BetTech infrastructure provider needed to accelerate lead generation and sales enablement across a complex, multi-stakeholder buying committee, in a regulated industry where compliance guardrails slow every content decision. The solution: a 14-agent agentic AI orchestration system built on Gemini Enterprise Plus, producing persona-specific GTM assets at scale across three languages.
What 14 specialist agents coordinated by one orchestrator can do
Specialist AI Agents
each with a distinct capability
Buying Personas
CEO, Commercial, Tech, Media, Legal
Languages
English, Spanish, Portuguese
Content Velocity
vs. manual production
Review Cycle Reduction
via compliance pre-screening
GTM Asset Types
briefs, collateral, campaigns
The Challenge
A technology and data-driven sports media network and BetTech infrastructure provider was building a B2B2C growth engine to support new-logo acquisition across a complex, multi-stakeholder buying committee. The challenge was threefold.
First, the buying committee for enterprise sports media and BetTech deals involves five distinct stakeholder types, each with different priorities, objections, and decision criteria. A message that resonates with the CEO/MD is irrelevant to the Compliance/Legal stakeholder, and vice versa. Generic GTM content was failing to move deals through the pipeline.
Second, the regulated nature of the industry meant every piece of market-facing content required legal and compliance review, creating a bottleneck that slowed campaign activation and sales collateral production to a fraction of the speed required to support an aggressive new-logo acquisition target.
Third, the business needed to operate across three language markets (English, Spanish, Portuguese) without proportionally scaling the content team, requiring a system that could produce genuinely localised, compliance-screened content at scale, not just translated copy.
Key Constraints
One Orchestrator. 14 Specialist Agents. Infinite Scale.
The solution was a central orchestrator built on Gemini Enterprise Plus that coordinates 14 specialist AI agents, each with a distinct capability and operating within defined compliance guardrails. The orchestrator decides which agents to activate, in what sequence, and with what inputs, adapting dynamically to pipeline priorities and compliance requirements.
The compliance-checking agent is integrated into the production pipeline, not bolted on at the end. Every piece of content passes through compliance pre-screening before it reaches human review, dramatically reducing revision cycles and accelerating time-to-market without increasing regulatory risk.
The multilingual localisation agent works in conjunction with the content production agents to produce genuinely market-adapted content in English, Spanish, and Portuguese, adjusting tone, regulatory references, and market-specific examples, not just translating words.
14 Specialist Agents
Five Stakeholders. Five Different Conversations.
Enterprise deals in regulated industries are won or lost in the buying committee. Each stakeholder needs a different message, different proof, and different objection handling, delivered at the right moment in the deal cycle.
CEO / MD
Needs to understand the commercial opportunity, competitive differentiation, and board-level narrative. Responds to market positioning, growth potential, and proof of scalability.
Commercial Director
Focused on partner acquisition, revenue forecasting, and deal structure. Needs clear commercial terms, pipeline mechanics, and evidence of partner success.
Product / Technical Lead
Evaluates technical feasibility, API architecture, data infrastructure, and integration complexity. Needs technical documentation, sandbox access, and engineering support.
Head of Media / Growth
Assesses audience reach, content distribution capabilities, and growth mechanics. Needs media kit data, audience demographics, and distribution case studies.
Compliance / Legal
Evaluates regulatory compliance, data handling, contractual safeguards, and jurisdictional risk. Needs compliance documentation, DPA templates, and regulatory certifications.
The Results
The agentic AI GTM engine transformed the operational capacity of the marketing function. Content production velocity increased by more than 70% compared to manual production, with the team able to produce account briefs, persona-specific sales collateral, and multilingual GTM assets at a scale previously requiring a significantly larger team.
The compliance pre-screening capability reduced the average content review cycle by approximately 60%, allowing faster campaign activation and sales collateral deployment without increasing regulatory risk. The compliance team now receives pre-screened content that requires fewer revision rounds.
Pipeline visibility improved significantly through automated CRM enrichment and account scoring. The buying committee mapping capability, producing persona-specific briefs for all five stakeholder types within hours of a new account entering the pipeline, has materially improved the quality and relevance of first-contact outreach.
The system is now the operational backbone of the GTM function, continuously learning from pipeline data and improving the quality of its outputs across all 14 agent capabilities.
"In a regulated industry, the bottleneck isn't creativity, it's compliance. By building the compliance agent into the production pipeline rather than bolting it on at the end, we turned a 5-day review cycle into a same-day pre-screen. That's not just faster, it's a fundamentally different way of operating."
Technology Stack
Services Used in This Engagement
About the Strategist
Modi Elnadi is a Director of Marketing and AI Growth currently leading global B2B2C growth marketing and GTM strategy for a technology and data-driven sports media network and BetTech infrastructure provider. He built the 14-agent agentic AI orchestration system described in this case study from the ground up, integrating Gemini Enterprise Plus, Attio CRM, Apollo, and Gamma AI into a single, compliance-aware GTM engine.
With 16+ years of experience across regulated industries (sports media, BetTech, financial services, pharma), enterprise SaaS, FMCG, and luxury travel, Modi brings a rare combination of strategic marketing depth and hands-on AI engineering capability, building systems that are both commercially effective and operationally sustainable.
Through Integrated.Social, he helps ambitious B2B and B2C brands build their own agentic AI growth engines, combining the science of data-driven automation with the art of persona-led strategy.
Credentials
Frequently Asked Questions
What makes agentic AI orchestration different from standard marketing automation?+
Why is agentic AI particularly valuable in a regulated industry?+
How were the five buying personas identified and activated?+
How does the multilingual content capability work across three languages?+
What CRM and technology stack was used?+
What were the measurable outcomes of the agentic AI GTM engine?+
Ready to Build Your Agentic AI GTM Engine?
Whether you're in a regulated industry or a fast-moving SaaS market, the principles are the same: identify your buying committee, build persona-specific systems, and let AI handle the scale. The humans focus on strategy and relationships.