
DeepModel
Go AI Native. Win Your Category

DeepModel is an AI Strategy & Implementation Experts platform that offers expertise, playbook, and tooling to help ambitious companies go AI-Native. They provide workshops, TEL Analysis™ for prioritizing AI opportunities, and pre-built agent templates for faster deployment. The platform focuses on turning AI vision into reality responsibly and at scale, guiding companies through AI strategy planning and execution.
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Features
- Tailored workshops for leadership alignment on AI opportunities
- Proprietary TEL Analysis™ for prioritizing high-impact AI initiatives
- Pre-built agent templates for faster deployment and scaling
- Comprehensive AI playbook for strategic guidance
- Integrated platforms (Orbit, Spark, Beacon) for AI strategy execution and governance
Advantages
- Expert guidance from AI Strategy & Implementation Experts
- Structured approach to AI strategy planning and execution
- Focus on responsible and scalable AI implementation
- Proprietary methods for identifying high-impact AI opportunities
- Integrated platforms for comprehensive AI strategy execution and governance
Disadvantages
- Requires commitment to follow structured AI strategy process
- May be overwhelming for companies new to AI implementation
- Dependence on platform tools for AI strategy execution
Frequently Asked Questions
-
Q:What does it mean to be an 'AI-Native' company?
A:AI-Native companies use AI as the primary digital worker in all instances possible, reorganizing core processes with AI as a fundamental component. -
Q:How is the 'AI-Native' approach different from just giving my team access to AI tools?
A:The AI-Native approach involves a comprehensive blueprint aligning the entire organization around a quantified plan, focusing on redesigning end-to-end business processes with AI. -
Q:How do you actually measure the ROI of an AI strategy?
A:The ROI model includes Optimization ROI for cost savings and Opportunity ROI for new revenue opportunities, tracking both defensive and offensive plays. -
Q:What is the first practical step to building a real AI roadmap?
A:The first step is to build a workflow catalog, documenting key operations and classifying tasks as Operate, Create, or Innovate to understand the value of work being done. -
Q:How do we decide which workflows to automate first?
A:Prioritization is based on TEL Analysis™, considering Toil, Effort, and Lift for each workflow to identify projects with the best inverse relationship between Lift/Toil and Effort.
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