A Process Harness for Uplifting Legacy Workflows to Agentic BPM: Design and Realization in CUGA FLO
arXiv:2606.27188v1 Announce Type: new Abstract: We introduce the process harness, a new mechanism for uplifting legacy workflows into Agentic Business Process Management (Agentic BPM) without replacing the underlying workflow engine. A process harness places a policy-governed agentic layer around a deterministic workflow engine, intercepting designated control points to contribute reasoning, adaptation, and oversight while the engine retains structural authority over the process. To define the process harness rigorously, we develop the Task-Decision-Flow (TDF) model, specifying both its data s
The rapid advancement in AI agent capabilities is driving the need for practical methods to integrate these agents into existing enterprise IT infrastructures without costly rip-and-replace strategies.
This development offers a pragmatic pathway for businesses to leverage AI's reasoning and adaptive capabilities within their established operational frameworks, accelerating the adoption of agentic systems.
Legacy workflow engines can now be augmented with AI agents to introduce adaptive reasoning and oversight, transforming deterministic processes into more intelligent and flexible systems without fundamental re-engineering.
- · Enterprise software companies
- · Businesses with significant legacy IT infrastructure
- · AI agent developers
- · BPM providers
- · Consulting firms specializing in full-scale legacy system replacement
- · Companies slow to adopt agentic technologies
Legacy business processes become more dynamic and intelligent through the integration of AI agents as an overlay.
Increased efficiency and adaptability in operational workflows lead to higher productivity and competitiveness for early adopters.
The widespread adoption of process harnesses could accelerate the displacement of certain white-collar tasks by agentic systems, shifting the labor landscape.
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Read at arXiv cs.AI