COMMAND DASHBOARD
Company snapshot: ~500+ employees; ~significant capital raised; Series C stage; 1,000+ enterprise customers globally (Lufthansa, Toyota, Bosch, Dell); North American expansion is the primary growth vector; conversational AI platform for omnichannel CX automation.
AI sales cycle length: Enterprise AI deals require 6–18 month sales cycles with multi-stakeholder alignment: CIO (infrastructure buy-in), CCO (outcome ownership), CFO (ROI justification), and Legal (data governance). Most enterprise AI vendors lose deals in the value justification phase, not the technical evaluation.
Technical-to-commercial translation gap: Cognigy's platform is technically sophisticated — its multi-agent orchestration and LLM-agnostic architecture are genuine differentiators. But translating those capabilities into boardroom-ready business outcomes (cost per call deflected, CSAT improvement, agent headcount avoided) is not yet systematized.
North America competitive intensity: Google CCAI, AWS Connect, Salesforce Einstein, and Genesys are all investing in the same conversational CX space. Cognigy's European leadership position does not automatically translate to North America where these incumbents have entrenched relationships and enterprise sales machines.
Repeatable GTM playbook deficit: Cognigy's North American wins have been driven largely by direct founder and technical team relationships. A repeatable enterprise GTM playbook — with standardized discovery, value engineering, and executive engagement — does not yet exist at the scale needed for the next growth phase.

Cognigy's path from its current European leadership to North American enterprise dominance requires someone who can simultaneously build the repeatable enterprise sales architecture from scratch, instrument the AI-powered ROI and value engineering systems that compress 18-month cycles to 9, and operate as the commercial bridge between Cognigy's deeply technical product and the CIO/CCO buyers who need outcomes, not architecture diagrams. Cognigy's existing North American revenue function was built for early-traction proof-of-concept wins — not for the systematic, multi-stakeholder enterprise expansion the market opportunity demands. Operating without this capability costs Cognigy an estimated – in addressable North American ACV per year in the enterprise segment alone.

Days 1–90Q1 — FOUNDATION
Days 91–180Q2 — BUILD
Days 181–270Q3 — SCALE
Days 271–365Q4 — OPTIMIZE
Conservative

Establishes net-new North American enterprise ACV; repeatable enterprise playbook operational; Cognigy's win rate in competitive bake-offs vs. Google CCAI and AWS Connect improved from baseline motion

Target

Establishes net-new North American ACV; average sales cycle materially shortened; expansion revenue from existing customers contributing benchmark+ of North American bookings motion

Stretch

Establishes North American ACV; vertical GTM programs in FS, Healthcare, and Retail each producing material enterprise revenue; segment-specific pipeline; Cognigy positioned as the enterprise AI CX leader in North America

Strategic Summary

Core Opportunity

Cognigy's path from European market leadership to North American enterprise dominance requires an AI-powered commercial engine that bridges technical depth and boardroom ROI — and the company has neither the repeatable playbook nor the operator to build it at the speed the market demands.

Execution Thesis

Deploy AI-powered ROI modeling, multi-stakeholder alignment infrastructure, and vertical-specific GTM programs to capture – in North American enterprise ACV while compressing the sales cycle from 18 months to 12.

Production systems, not theory. Revenue captured, not demos given.