The New vs. Old

Autonomy leads. B2B Commerce changes forever.

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The Transformation of B2B Commerce

Automation is digital convenience. Autonomous Commerce is commercial intelligence.

For years, we added tools, dashboards, and “digital transformation”, hoping to make business more efficient. It added a high degree of IT complexity. Digital transformation created more interfaces, instead of speed. Systems multiplied, data scattered, and teams got stuck managing instead of moving revenue faster. Growth slowed while complexity grew.

Autonomous Commerce collapses complexity instead of scaling it. Systems now act on intent, not instruction. Revenue flows across functions without waiting for people to push it forward.

The Transformation Beyond Automation

Disconnected systems and delayed outcomes


Information lived in silos. Work waited for approvals, handoffs, and human oversight.

Unified flow across every system


Data, decisions, and actions move together in real time across ERP, CRM, and channels.

Automation without intelligence


Automation ran the process, but humans still made every judgment call.

Autonomous execution with intelligence


Systems understand intent, decide with context, and act instantly and accurately.

Endless orchestration and maintenance
Teams spent more time managing tools than creating business value.

Capacity focused on growth, not management


Workflows run themselves so teams can focus on strategy, customers, and value creation.

Linear growth

More revenue meant more people, more cost, and slower scaling.

Decoupled growth from cost
Autonomy scales revenue without adding headcount or complexity.

The New Leadership Demand Faster Execution

The New Leadership Demand Faster Execution

With Autonomous Commerce, leadership looks different.

Executives manage business outcomes, not agents. They steer outcomes with clarity, precision, and foresight. Work happens in real time, and decisions execute autonomously.

Discover the true value whether you are interested in Topline Growth & Margin Management, Efficiency Gains, and Customer Experience.

Autonomous Commerce vs. Traditional Methods

68 %

revenue handled autonomously

137 K

hours released

79 %

tacit knowledge digitized

33 %

Increase in OTIF

The non-negotiables for executive leadership

What’s the difference between automation and autonomous execution?

Automation still relies on people to interpret, decide, and correct. Autonomous execution understands intent, applies context, and completes the entire workflow instantly, removing delays and human dependency from revenue movement.

Why has the old digital-transformation model reached its limit?

Enterprises digitized tasks but never eliminated manual judgment. Systems got faster, not smarter. Autonomous Commerce overcomes this ceiling by connecting intelligence directly to execution, not just wrapping complexity in new tools.

How does Autonomous Commerce reduce the cost of scaling?

Traditional growth requires more people to process increasing volume of transactions and customer requests. Autonomous Commerce lets AI handle repetitive commercial work, enabling teams to manage more revenue with the same workforce and unlock significant cost leverage.

What makes the Autonomous Execution Fabric different from automation tools?

Automation handles isolated tasks. The Execution Fabric handles full commercial workflows across quoting, ordering, and validation with embedded intelligence, making decisions that previously required experts and eliminating process friction end to end.

How does autonomy improve speed, margin, and customer experience together?

Old systems forced trade-offs: speed meant risk, efficiency meant rigidity, quality meant slowness. Autonomous Commerce aligns all three by executing decisions with context, reducing errors, accelerating cycle time, and delivering consistent, high-quality responses.

Can Autonomous Commerce work with my existing ERP and CRM?

Yes. The platform connects systems to various ERP and CRM systems like SAP or Salesforce and enhances them by enriching master data, resolving inconsistencies, and executing transactions accurately, creating a smarter, faster order-to-cash process without replacing your stack.

What real results do companies see after moving from old to new?

Enterprises report faster order-to-cash cycles, 50–90% fewer manual touches, higher accuracy, and measurable margin gains. The shift replaces friction and waiting with clarity, speed, and confidence in every autonomous transaction. 

Voice of the Customer

We couldn't really see that we could scale. There is definitely a direct correlation between customer satisfaction and revenue. We know that by fact.

Anders Pettersson Liechti

CIO, Nilfisk

Anders Pettersson Liechti

AI is really in the future. We can respond to our customers faster, so it's a business critical solution.

Carlos García

Head of Digital Business, Danfoss

Carlos García

We would have loved to introduce Autonomous Commerce earlier, but there wasn't a solution out there. It's very important in our business that we get back to the customers as quickly as possible.

Paul Thompson

Chief Executive Officer, Aerospheres

Paul Thompson

Each time we added 1 million or 2 in euros, we had to add another operator. From a cost perspective that's an unsustainable way of operating a business. The pace of data exchange is rapidly increasing.

Mikkel Diness Vindeløv

Vice President – Hempel

Mikkel Diness Vindeløv

The customers… they try to manage their supply chains. Speed is becoming so much more important.

Fredrik Sölscher

EVP IT & Digitalization, Nefab Group

Fredrik Sölscher

Chosen by the Ones Who Win

Don’t take our word for it

Chosen by the Ones Who Win

Don’t take our word for it