Camunda

McKinsey & Company published a very useful AI study. The key finding is in a single chart. ⠀ They surveyed 701 executives and sorted companies by how they use AI. ⠀ - Enablers: Give employees AI tools (57%) - Automators: Use AI to automate existing workflows (30%) - Reinventors: Redesign how the work gets done (13%) ⠀ Then they ranked which parts of the operating model each group is strongest at. For reinventors, processes rank second, right after technology. For the other groups, processes don’t make the top six. ⠀ And the value follows. In McKinsey earlier research using the same three groups, 13% of enablers reported meaningful enterprise value from AI. Automators, 24%. Reinventors, 48%. ⠀ So the groups that automate the workflows they already have report 24% against 13% for enablers. The groups that redesign them report 48%. That is a correlation, not proof of cause. ⠀ Automators are where most companies I talk to are right now. And it makes sense. Their processes were designed for a world before AI. Automating a legacy process gives you a faster legacy process, not a different one. ⠀ What reinventors do differently, according to McKinsey, is redesign end-to-end domains instead of chasing disconnected use cases. And they standardize, so it’s clear where each decision sits and where human judgment or oversight is required. That second point gets more important, not less, as agents take on more of the work. ⠀ I like this example of an AI customer service agent. Yes, the choice of model matters, but the bigger differentiator is how well the agent is integrated into the workflow and connected to company data. Pick whichever model works best. The process around it decides whether it creates value. ⠀ One caveat we’re saying out loud. The reinventor group is 53 companies, so I would not treat the exact numbers as gospel. But the direction matches our own research. 78% of the 1,000 process leaders we surveyed told us they need to fundamentally redesign their processes rather than layer AI on top. ⠀ Someone has to run the redesigned process across people, systems and agents, with approvals and human handover built in. That software is what we build at @Camunda. ⠀ CIOs, which of your AI projects are automating a process nobody has rethought? ⠀ You can access the McKinsey report here: https://lnkd.in/d7mWgmVX

High costs and dependence on specialized skills can make change harder than it should be. Explore an open approach to orchestrating people, systems, and AI agents with Camunda.

Your next platform should give you more flexibility, visibility, and control. Explore how to move from legacy automation to open orchestration, one process at a time.

When processes change, your platform needs to keep up. Explore how open orchestration can help you connect what you have and build what comes next.

Leaving your legacy platform doesn’t mean starting over. Keep the systems you need & modernize on your terms. Explore licensing credit and migration support to help make the switch.

Moving beyond legacy automation takes more than replacing software. Get practical guidance on migration, modernization, and re-engineering processes for an AI-driven future.