Your Blueprint for Enterprise 5.0

The frameworks 200+ AI-native companies used to move from pilots to enterprise value — built for operators, not theorists.

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1. New Operating Model

AI cannot simply be bolted on. Workflows must be redesigned around what machines can do, what humans should do, and where the combination creates value.

Value-pool first

3. Sovereignty

Organizations must preserve choice and control over data, architecture, cost, and strategic dependency as digital labor and intelligence becomes core to workflows and operations.

Control + Choice

Three Forces Define the AI-Native Enterprise

The winners will move beyond isolated AI adoption and build operating systems for intelligence.

2. Democratization

Enterprise AI will be hybrid: large, small, proprietary, open-source, edge, and specialized applications selected by business need. Models are purpose-fit for the use case and workflow.

Hybrid architecture

About the Playbook

Our insights come from working directly with 200+ AI-native companies and $2B+ in ecosystem value creation. No theory — just proven strategies that scale.

Aggregated signals from 200+ AI-native companies, validated by operators and investors across the ecosystem.

Frameworks built from the enterprises and AI-native companies actually capturing ROI from AI — not theory.

Synergies across enterprise buyers, strategic investors, and technology partners leveraged through a qualified practitioner network.

From readiness assessments to deployment guidance—bridge the gap between strategy and execution.

Our Playbook Numbers

200+

Companies Tracked

6000+

AI Practitioners

$2B

Network Companies Value

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  • "Enterprise 5.0 marks the dawn of the Human-Centric Agentic Era — where intelligent agents become trusted collaborators for human workers. The next wave of value creation at the application layer will come from harnessing these models' utility to amplify human judgment, creativity, and productivity at scale."

    Yash Hemaraj, General Partner, BGV

  • "AI is not simply another technology cycle. It requires organizations to rethink how they create value, make decisions, and operate. The companies that recognize this early will defi ne the next generati on of industry leaders."

    Anik Bose, Co-Founder & Managing Partner, BGV

  • “The true power of AI lies in identifying high-impact workflows where agentic systems can drive meaningful business outcomes. AI native startups should focus on use cases that streamline operations, refactor inefficient processes, and integrate seamlessly with existing enterprise systems—enhancing human decision-making rather than replacing it.”

    Tobias Yergin, Chairman of the Board, Human AI Advisory Council

  • “For enterprises to adopt AI at scale, measuring ROI is non-negotiable. AI isn’t just about cost savings—it’s about augmenting productivity, enhancing decision-making, and unlocking new revenue streams.”

    Erik Brynjolfsson, Founder, WorkHelix Professor, Stanford University

  • "Tech companies are realizing they can't solely rely on seat-based subscriptions. They're exploring usage-based pricing, success fees, charging based on units of work delivered, credit- or token-based models, and increasingly creative hybrid approaches."

    Kyle Poyar, Growth Unhinged

  • "The future of go-to-market isn't about selling better AI. It's about embedding intelligence into mission-critical workflows, earning trust by design, and reaching customers through the ecosystems where they already buy."

    Rekha Ravindra, Fractional Commercial Head, R2 Acceleration

  • “The challenge for you to sell into the enterprise is not a technological one. It really comes down to how you, as a human entrepreneur, treat your human customers and how you interface with the human users and their human process in order to establish your software as part of that enterprise.”

    Patrick Bangert, VP and Chief of AI at Occidental Petroleum

  • “Enterprises don’t just need AI—they need AI they can trust. Full-stack deployable solutions require robust monitoring, explainability, and security at every layer. AI native startups must think beyond the model and focus on transparency, compliance, and seamless integration to drive real adoption in Enterprise 5.0.”

    Krishna Gade, Founder & Chief Executive Officer, Fiddler AI

  • “Optimizing AI infrastructure costs isn’t just about better hardware utilization — it’s about strategic freedom. By leveraging open-source models and avoiding vendor lock-in, we preserve flexibility, control, and cost efficiency, ensuring our AI roadmap is driven by innovation, not contract terms.”

    Kim Hales, Chief Data & AI Officer, NRG Energy

  • “Scaling an AI native startup means weaving AI into every strand of the business — from writing code to generating demand to driving customer success. Unlike AI-enhanced businesses that retrofit AI into existing models, AI native companies design around it from day one, unlocking compounding advantages in speed, efficiency, and customer impact.”

    Siva Surendr, Founder & CEO, Lyzr AI

  • "Artificial intelligence is reshaping the meaning of talent. Competitive advantage will no longer come from simply attracting exceptional people, but from designing organizations where human judgment, intelligent systems, and new ways of working amplify one another. The future belongs to organizations that build capability, not just headcount."

    Val Rupp, HR Executive

  • “Investments towards making AI more powerful are hundreds of times larger than investments into making it controllable, aligned, and safe. The incentives for making AI more trustworthy and reliable among the few players in control, are just not there.”

    Anna Felländer, Co-Founder and President of Asenion

  • “Every major technology wave has rewarded organizations that learned faster than their competitors. AI will be no different. Technology creates opportunity, but leadership determines who captures it."

    Eric Benhamou, Managing Partner, BGV