Skan AI Calls for New Era of Enterprise AI with Agentic Process Automation Manifesto

As co-founder of Skan AI, I've watched countless companies struggle with the same problem. They want AI agents that can do real work, not just answer questions or write reports. But here's what I've learned: most AI agents fail because they don't understand how humans actually get things done.

The Missing Piece

We're entering a phase where every large enterprise wants AI to not only reason, but act. The challenge is simple: AI agents do not know how humans carry out business processes within enterprises today. What's missing is a living system of record for execution.

Think about it this way. When you train a new employee, you don't just hand them a manual and hope for the best. You show them how the work really happens. You walk them through the exceptions, the shortcuts, and the judgment calls that make the difference between getting stuck and getting results.

But when we build AI agents, we do exactly what we'd never do with humans. We feed them documents, policy manuals, and clean data that doesn't reflect the messy reality of how work actually gets done.

Our Solution: From Observation to Agent

That's why we built our Observation-to-Agent (O2A) platform and today announced our Agentic Process Automation Manifesto. It captures real-time human work telemetry and transforms it into AI agents. This gives us the context, accuracy, and governance to bridge the gap between human insight and agentic execution.

Instead of guessing how work should happen, we watch how it actually happens. We see the real steps, the real decisions, and the real variations that make each business process unique.

The Six Principles Guiding Our Work

We've learned that successful AI agents need more than just good training data. They need to be built on principles that reflect how real businesses actually operate. That's why we created our Agentic Process Automation Manifesto with six core principles:

1. Telemetry over Guesswork - We capture how work actually gets done, not how we think it should be done.
2. Action over Analytics - We move from passive reporting to active execution. Pretty dashboards don't pay the bills.
3. Governance over Black Boxes - Trust, transparency, and auditability by design. You need to know what your AI is doing and why.
4. Open and Modular - Flexible platforms that adapt to your business, not the other way around.
5. Impact over Activity - We measure success through business value delivered, not tasks completed.
6. Partnership over Isolation - Autonomy comes through collective action and trust between humans and AI.

Read the full manifesto here.

Why This Matters Now

The gap between what AI can do and what businesses need is getting smaller every day. But there's still one big problem: most AI agents are trained on incomplete information.

They know what the documentation says should happen. But they don't know about the exception that happens every Tuesday. They don't know why Sarah in accounting always checks that one field twice. They don't know the subtle signs that indicate when a process is about to go wrong.

Our O2A platform solves this by grounding AI agents in real human intelligence. This unlocks faster cycle times, stronger compliance, and better customer experiences.

An Open Invitation

This Manifesto is more than a statement of intent. It's an open invitation to enterprises, partners, and innovators to shape the next era of work with us.

We believe the future belongs to companies that can combine human judgment with AI execution. Companies that understand that the best automation doesn't replace human intelligence—it captures it and scales it.

Together, we can build the agile, resilient, and autonomous enterprise. But it starts with understanding how work really happens, not how we wish it would happen.