THE NG WORKSHOP BLOG

Where AI meets
real work

Practical guides, working patterns, and field notes on AI agents, business processes, and systems that make it to production.

Agentic AIProcessesProduction

Agentic AI Is Risky Without a Process

Why AI agents belong inside a measurable business process—and how to move from an impressive demo to dependable operations.

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Why AI Alone Won’t Fix Legacy Workflows

AI can speed up a task while the customer still waits. Lessons from Camunda’s NYC Roadshow, with a practical approach to redesigning the process around the outcome.

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Camunda vs Appian: Choosing a Process Platform for AI-Enabled Work

Camunda 8 and Appian both connect people, systems, and AI. Compare their process models, state, integrations, deployment, and governance before choosing a pilot.

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Camunda vs. IBM Business Automation Workflow: Which Process Platform Fits?

A fair comparison of Camunda 8 and IBM Business Automation Workflow across process modeling, human work, integration, deployment, and governance.

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Camunda vs. Power Automate and Logic Apps: Where Should the Process Live?

How Camunda 8 compares with Power Automate and Azure Logic Apps for human work, long-running state, integration, deployment, and governance.

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Camunda vs UiPath: Choosing an Orchestration Platform for Agentic Workflows

Camunda 8 and UiPath Maestro both orchestrate people, systems, automation, and AI. Compare the fit by process shape, governance, deployment, and integration.

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ProcessOS Adoption Guide: Is Your Organization Ready for a Pilot?

A practical readiness and pilot guide for CTOs and process owners evaluating Camunda ProcessOS, with clear evidence, governance, and criteria for moving forward.

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How to Test an AI Agent When Its Behavior Varies

Two valid agent runs can take different paths. Combine regression tests, output evaluation, and repeated trials to check both the result and the controls around it.

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5 Numbers From Camunda's 2026 Report Every Israeli CTO Should Know

73% of respondents report an agentic AI vision–reality gap. Five findings from Camunda’s 2026 survey, with their limits and implications for Israeli enterprises.

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Agent Islands: When Every Department Builds Its Own AI and No One Sees the Whole Picture

Separate AI pilots can leave ownership, data access, and handoffs unclear. What Camunda’s survey suggests, and why shared orchestration deserves attention before expansion.

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Can AI Design an Enterprise Process as Well as a Human?

In two Camunda examples, 21 of 25 compared design elements matched exactly. What that small experiment shows about AI drafting and the process owner’s role.

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MCP Without the Buzzwords: What Decision-Makers Need to Know

MCP gives AI applications a shared way to connect to tools and data. It can reduce custom integration work, but compatibility, permissions, and portability still need testing.

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The AI-Native Bank: Six Processes to Start With

Six banking processes worth evaluating for AI assistance, with evidence from published cases and clear boundaries for human review.

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ProcessOS Discovery: Mapping Processes from Existing Documentation

ProcessOS Discovery uses existing documentation to help map how a business works. Where it may save time, and why process owners still need to validate the result.

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Who Approved That? The Audit Trail Your AI Agents Are Missing

Camunda 8.9 adds a centralized audit log and A2A connectors. What they record, where configuration matters, and what to check before a regulated deployment.

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AI Agents Need More Than Capability: They Need Trust

Camunda reports agent use at 71% of surveyed organizations, but only 11% of agentic AI use cases reached production. Why trust and control deserve attention.

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What Camunda ProcessOS Means for Your 2027 Budget

Camunda presents ProcessOS as a way to make process redesign a continuous capability. What CTOs should evaluate when planning for 2027.

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Security and Privacy in Vibe Coding: A Pre-Production Guide

The app works — but is the data actually protected? A practical guide to secrets, permissions, personal data, and AI tools before you let real users in.

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Payments in Vibe Coding: From a Checkout That Works to a System You Can Trust

The charge went through, but the order still shows as unpaid — or the other way round. Here's how to build a secure, consistent payment flow that handles duplicate events in an AI-built application.

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More Than Hours Saved: 8 Metrics for Successful Process Orchestration

Cycle time, completion rate, exceptions, rework, SLA, and cost per case — the metrics that connect a process to a business outcome.

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A 90-Day Roadmap: From a Manual Process to an Orchestrated One

A focused plan for picking the right process, building an MVP, running a controlled pilot, and scaling process orchestration on evidence.

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Human-in-the-Loop Without the Bottleneck: Designing Human Oversight

How to place people at the right decision points, define risk thresholds, and keep useful decision records while retaining the benefits of automation.

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AI Agents Need a Conductor: Taking Agentic AI to Production

A clever model is not a business process. Here is how to orchestrate tools, permissions, exceptions, and people so AI agents can run safely.

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Point Automation and Process Orchestration: Why the Difference Matters

When a chain of automations becomes a tangle, and how an orchestration layer restores ownership, control, and end-to-end resilience.

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From AI Pilot to Production: Five Questions to Answer

The demo worked. Now it has to become a service people can trust—even under load, with missing information, or when an exception occurs.

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The Compass for a First AI Project: The Right Process

Not every process is a good candidate for a first AI project. Here is how to spot an opportunity that creates value and lets the organization learn quickly.

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Human-in-the-Loop Is a Product Decision

Human review should be designed around risk, context, and response time—not added as a generic safety checkbox.

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