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totuba.ai
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Our Approach

Focus on Adoption and Results

New culture, technology, and processes that are not adopted by your people, organization, and vendor partners waste time.


Our approach begins with a CEO/CXO Human/AI Revenue Management Strategy Discovery Session to determine your organization's need and willingness for action.


It is followed by a Human/AI Revenue Management Readiness Assessment. To determine where your organization is, where it can be, and when it can achieve mastery of Human/AI Revenue Management.


Ideally, along the organizational adoption process, the CEO and CXOs are coached frequently - e.g., monthly on strategy, process, technology, and organizational change adoption and - most importantly, improved performance results.


Emphasis lies on Revenue Management Team co-ideation and Human/AI Revenue Management design and implementation through continuous agile sprints, along which we will take your organization on a progressive learning path.

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You are the CEO of a company with a B2B sales organization seeking to build a next-generation, AI-powered revenue management ecosystem?


With us, you can aim at building a self-perpetuating revenue management engine that seamlessly blends human expertise with AI-driven insights, accelerating growth, scaling vendor partner co-selling, and driving continuous innovation among your people.

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PROGRAM Elements

CEO/CXO Human/AI Revenue Management Strategy Discovery Session

Complimentary two 2-hour discovery sessions to explore your business scope, current market share, growth aspiration, high-level customer journey, high-level customer experience, high-level sales leader/rep experience, willingness to make great leaps, Human/AI commercial strategy, and available time, resources, and budget.

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Human/AI Revenue Management Readiness Assessment

A focused, 2-week engagement that assesses your current Revenue Management performance, identifies friction and opportunity areas and delivers a strategic roadmap to build your Unified, AI-enabled revenue engine.

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CEO/CXO Human/AI Revenue Management Strategy and Performance Coaching

A regular, 1:1 or 1:2 CEO/CXO Human/AI Revenue Management Strategy Performance Coaching to support the adoption program top-down, focusing on reviewing Human/AI Strategy, establishing 90-180-360-day plans and routines, reviewing and addressing progress, reviewing and addressing performance, reviewing and addressing challenges, and defining next steps.

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Revenue Management Team Human/AI Strategy Learn & Ideate Session

A Revenue Management/Go-To-Market Team Human/AI Commercial Strategy Learn & Ideate Session/Bootcamp of 2-3 days to develop and support the Human/AI Revenue Management adoption program bottom-up. The bootcamp includes customer segmentation, current Customer Journey, current Customer Experience, future-state (Key) Account Structure, future-state (Key) Account Value Curve, future-state (Key) Account Journey, future-state (Key) Account Perception Map, current (Key) Account Satisfaction, future-state revenue management team structure, AI-Agent Adoption Plan, AI-Agent Solution Map, Implementation Roadmap, and defining Roles & responsibilities.

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AI Revenue Management Automation Design & Implementation

A series of AI Sales Automation, Data, and Analytics Technology Design & Implementation in continuous agile sprints, including identifying and adapting technology, planning implementation agile, implementing technology, supporting bottom-up adoption, testing, adjusting evolving needs, and reporting tool use performance.

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Revenue Management Team Human/AI Strategy Implement, Learn & Adopt Sessions

A series of Revenue Management Team Human/AI Commercial Strategy Implement, Learn & Adopt Sessions of 1-2 days every 2-3 months to support the actualization of objectives and performance goals, including conveying and confirming objectives, defining and tracking target metrics, defining and tracking project plan, defining and tracking risks, driving stakeholder engagement, driving employee engagement, engaging selected tech vendor(s), utilizing agile sprint program approach, addressing leader, employee concerns, and training, and reinforcing AI platform use.

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