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The Trillion Dollar Agentic Workflow Opportunity Is Here
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The Trillion Dollar Agentic Workflow Opportunity Is Here

The Future of AI Agents and Finance

Overview of the Implementation Challenge

  • The implementation challenge for agents is not just about agents; it reflects a shift in finance regarding software models and the search for value in AI.
  • Private equity (PE) firms have historically viewed SaaS companies as similar, but recent challenges have emerged due to AI's impact on these businesses.
  • SaaS growth metrics have deteriorated, prompting PE firms to reconsider their investments in companies that are struggling to adapt to AI technologies.

Pressure on Private Equity Firms

  • Many PE firms with funds from 2026 onwards face difficulties selling previously healthy SaaS companies now at risk due to AI advancements.
  • Hyperscalers are realizing they need hands-on engineers who can work directly with customers rather than relying solely on theoretical discussions about AI.

New Business Models and Partnerships

  • Hyperscalers like OpenAI and Anthropic are seeking partnerships and capital to support their new business models focused on practical implementations of AI.
  • There is a growing recognition among Fortune 500 companies that understanding the difference between chatbots and agents is crucial for leveraging AI effectively.

Value Creation through Agent Workflows

  • Companies are eager to implement agent workflows but lack expertise, recognizing the potential trillions of dollars in value from fully automated processes.
  • Achieving complete automation across workflows is a new capability emerging in 2026, which many organizations want to capitalize on.

The Role of Consulting Firms

Demand for Expertise

  • Companies are turning to established players like OpenAI and Anthropic for assistance in implementing agent workflows amid uncertainty about vendor reliability.
  • Major consulting firms are shifting focus towards product offerings, embedding themselves within accounts where hyperscalers operate.

Market Dynamics

  • The market currently favors completed workflows over standalone products, leading private equity firms to invest heavily in joint ventures with leading AI labs.

Understanding Implementation Layers

Key Components of Implementation

  • Discussions around services versus software highlight the importance of understanding where value lies within workflow versus harnessing data or permissions.
  • Companies must navigate complex relationships with vendors while ensuring they derive real value from their chosen solutions.

Pressures Affecting Agentic Workflows

  • Four axes of pressure influence how agentic workflows function: movement down stack by labs, consultancies moving up stack, systems of record opening APIs, and private equity acting as distribution channels.

Strategic Considerations for Builders

Building Effective Solutions

  • Builders should focus on creating specific action layers tied closely to business objects rather than generic intelligence solutions that lack context.
  • Understanding how implementation layers shape value will be critical as buyers evaluate different vendors' claims regarding their offerings.

Navigating Choice Paralysis

  • With significant competition converging around valuable agentic workflows, discerning true value becomes increasingly challenging for buyers.

Conclusion: Importance of Customization

Emphasizing Customization Over Generic Solutions

  • The current landscape necessitates customization within agentic workflows; generic solutions no longer suffice given the complexity involved.
Video description

Full article w/ Prompts: https://natesnewsletter.substack.com/p/saas-agent-license-renewal?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________________________ What's really happening inside the AI agent implementation war? The common story is that the AI agent battle is between OpenAI and Anthropic on raw model quality — but the reality is that private equity, hyperscalers, consultancies, and systems of record are all converging on the implementation layer where trillions of dollars actually live. In this video, I share the inside scoop on why generic enterprise AI is getting squeezed from four directions at once: • Why frontier labs are moving down the stack into deployment • How private equity became a distribution channel for AI agents • What the implementation layer actually contains for AI agents • Where the real defensibility lives in agentic workflows Builders, buyers, and PE all need to get specific about workflow design, data access, authority, evals, and audit trails — generic AI wrappers will not survive the squeeze that is now hitting enterprise agentic workflows. CHAPTERS 0:00 Why finance, hyperscalers, and companies are converging 2:30 The trillion dollar agentic workflow opportunity 4:55 Anthropic and OpenAI stand up deployment companies 7:00 Reframing data, model, workflow, and harness value 9:30 Axis one: frontier labs moving down the stack 12:00 Axis two: consultancies moving up the stack 13:05 Axis three: systems of record exposing agent interfaces 14:28 Axis four: private equity as a distribution channel 16:00 What this means if you are a builder 19:00 Defining the implementation layer component by component 22:00 Why PE financing is reshaping the SaaS playbook 24:00 Sit closer to the business object: support and sales examples Subscribe for daily AI strategy and news. For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Listen to this video as a podcast. - Spotify: https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4 - Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372