Navigate
the AI hype
AI adoption with positive ROI with Intelligent Revenue Framework
Avoid the enterprise AI failure reason #1:
AI solutions designed and implemented without understanding the actual data readiness, software environment and process landscape.
Core challenges we solve
Triple expertise
Deep understanding of diverse ERP environments across vendors (including legacy landscapes), complex data structures and system integrations.
A track record of delivering production AI solutions in real customer environments — beyond demos and prototypes, these are live systems generating measurable ROI.
Enterprise process expertise across industries - a deep understanding of how core business processes operate in reality, gained through years of implementing and optimizing them in complex enterprise environments.
Intelligent Revenue Framework
The Intelligent Revenue Framework is CLARITY’s structured approach to implementing AI into enterprise revenue operations.
Many organizations operate with fragmented systems where data, processes, and financial flows lack transparency, leading to inefficiencies, revenue leakage, and unreliable forecasting. Sales, pricing, quoting, subscriptions, and financial reporting all live in separate systems, managed by separate teams, producing data that no one fully understands, while leadership makes strategic decisions based on forecasts that everyone quietly doubts.
The framework provides a clear path to move from this non-transparent reality to a fully visible, connected business environment ready for intelligent automation.
Built around the Discover – Design – Deliver methodology, the framework helps companies identify revenue blind spots, design the right AI use cases, and implement solutions that create measurable business value. It provides a practical way to adopt AI for intelligent revenue operations, turning disconnected processes into transparent, data-driven systems. The approach focuses on fast, targeted implementations — tailored to specific processes and business cases, rather than large-scale transformation projects, enabling organizations to adopt AI quickly, cost-effectively, and with clear ROI.
Discover
The Discover phase focuses on understanding the current state of the business. Through your stakeholder interviews (commercial, operational and technical), business process analysis, and technical assessment, we identify key process groups, pain points, and data readiness. The goal is to create a clear picture of how revenue processes operate today and where transparency, automation and AI could bring the most value.
Design
In the Design phase, potential AI opportunities are mapped and translated into concrete use cases. Together with the you, we evaluate industry best practices, prioritize initiatives using impact criteria, design the future architecture and customer journeys and calculate initial ROI projections using our CLARITY IMPACT framework. The result is a validated concept and a selected pilot case ready for implementation.
Deliver
The Deliver phase turns the designed concept into a working solution. A pilot is implemented, tested, and refined through feedback loops, while success metrics and business impact are measured. Based on the results, the solution is scaled and integrated into your longer-term roadmap for AI-driven revenue growth.
What companies need to do for a successful AI adoption?
Watch the video where Max Jegorovcev, CEO of CLARITY, shares a practical perspective on how AI actually works in real business environments — moving beyond hype, buzzwords, and unrealistic promises. He explains why many AI startups struggle to survive, why up to 95% of GenAI startups fail according to MIT research, and what companies must do differently to achieve measurable business value from AI.
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