Camunda

The Great Process Re-Engineering

  • Turn isolated AI agents into end-to-end outcomes
  • Build guardrails, approvals, and audit trails into every process
  • Work across any LLM, cloud, or system—without lock-in

AI changed the workforce.Now change the workflow.

See how it works

  • Barclays
  • Intuit
  • T-Mobile
  • BT
  • 24 Hour Fitness
  • Atlassian

Your AI agents are ready. Your processes aren’t.

Most enterprise processes were built before AI. That’s why every process is legacy. The result is an AI process gap: 71% of organizations use AI agents, but only 11% of agentic AI use cases reached production in the past year.*

Adding agents one task at a time creates isolated capabilities—and often more handoffs, exceptions, and operational risk.

That’s the automation ceiling: AI investment keeps growing while business outcomes stagnate.

Breaking through that ceiling means re-engineering your processes for the AI era.

* Source: Camunda research, 2025

Stacks of work rising toward a line labelled “Automation ceiling”, with the work above it left undone

Re-engineer the process⁠—not just the task

The Great Process Re-Engineering is the shift from adding AI to existing workflows to redesigning complete processes around what AI can now accomplish.

Agentic orchestration is the enterprise coordination layer that makes this shift possible. It brings AI agents, people, and systems together across complete business processes—applying deterministic automation, AI reasoning, and human judgment where each delivers the most value.

Agents, people and systems coordinated on a single agentic orchestration layer
“ProcessOS tackles the real reason AI adoption stalls in large enterprises: we can’t build tomorrow’s processes using only what we know today. Transformation starts with a bold vision of the future—and ProcessOS turns that vision into a practical path forward.”
BarclaysLily Wang, Managing Director Barclays

Re-engineering changes the economics

A 2026 ProcessOS pilot with a leading Nordic bank shows what can happen when migration becomes re-engineering.

  • 96%

    faster; 94% cheaper

    Discovery, design, and build took ~71 hours over nine days with ProcessOS, compared with 1,215–1,260+ hours over 11 weeks using a traditional approach. Cost fell from €102–103K to €6,090.

    Leading Nordic bank
  • ~€23M

    program savings

    Projected across a ~200-process migration at the pilot’s demonstrated rate, discounted ~20% for the bank’s own stakeholder time.

  • 83

    touchpoints

    A re-engineered process reduced touchpoints from 100 to 83, creating fewer handoffs, fewer points of failure, and a faster path to outcomes.

    Leading Canadian bank

Put AI to work without losing control

Camunda provides the orchestration layer for re-engineering mission-critical processes around AI.

  • Deliver outcomes, not tasks

    Coordinate agents, people, and systems across the complete process—from initial request to final result.

  • Give AI authority. Keep control.

    Built-in guardrails, human approvals, escalation paths, and a complete audit trail.

  • Modernize without ripping anything out.

    Work across any LLM, cloud, or system while keeping your process logic portable.

  • Combine rules and reasoning.

    Use deterministic automation where the path is clear, agent reasoning where judgment is needed, and human oversight where it matters. Dial autonomy up as trust grows.

The proof is in the production

See what enterprises achieve when they orchestrate mission-critical processes with Camunda.

  • 600%

    faster transfers

    Cut money transfers from 54s to 9s, with 50% fewer errors.

    Halkbank
  • 35%

    faster claims

    Increased processing speed while lowering the cost per claim by 30%.

    Norfolk & Dedham Group
  • 6M

    tasks per week

    Now processing 300+ transactions per second.

    Goldman Sachs
  • 2,500%

    more workflows

    Significantly scaled up operations compared to its previous platform.

    Intuit
  • 90×

    faster loan decisions

    Cut loan approval time from 4 days to 17 minutes.

    Harmoney

The Leader in Agentic Orchestration

  • Gartner

    Named a Visionary in the Gartner® BOAT Magic Quadrant™ 2026

    Learn more

  • Forrester

    Camunda is named a Leader in The Forrester Wave™ for Adaptive Process Orchestration, Q3 2026

    Learn more

  • Camunda

    Trusted by 750+ enterprises, including 9 of the top 10 US banks

    Learn more

You don’t need to transform your enterprise all at once

Start with one critical process. Begin where disconnected systems, manual handoffs, or isolated AI experiments are holding back a measurable business outcome.

We’ll help you determine where automation, AI reasoning, and human judgment belong—then orchestrate a governed path to production.

The winners won’t have the most agents. They’ll be the ones that orchestrate them best.

Get better outcomes from what you already run.

See how it works

One critical process lifted out of an isometric grid and traced through to a business outcome

Turn AI ambition into action

Explore the vision, research, technology, and real-world lessons that help enterprises put agentic orchestration into production.

View all resources

Frequently asked questions

  • How should an enterprise begin re-engineering its processes?
    Start with a critical process tied to a measurable outcome. Identify where rules can automate work, where AI can add judgment, and where people need to remain involved.
  • Can we modernize without replacing our core systems?
    Yes. Camunda coordinates the agents, applications, and systems you already use, allowing you to modernize incrementally.
  • How does The Great Process Re-Engineering relate to agentic orchestration?
    The Great Process Re-Engineering is focused on redesigning processes around AI. Agentic orchestration puts that strategy into operation by coordinating agents, people, and systems from end to end.

Every isolated experiment delays your results

Give your AI pilots a place to land. Pick one critical process now and let’s get it into production.