Decisions Included in Forrester Adaptive Process Orchestration Landscape
Forrester's formalisation of APO governance criteria may inform how APS procurement teams evaluate agentic workflow vendors.
Key points
- Forrester's Q2 2026 Adaptive Process Orchestration landscape covers 35 vendors using AI agents in automated workflows.
- Forrester's APO criteria emphasise governance, auditability, and human-in-the-loop controls for nondeterministic AI agents.
- This is a vendor PR announcement about analyst inclusion - limited direct signal for APS procurement decisions.
Implications for Australian agencies
- Monitor Procurement and governance teams assessing agentic workflow or process automation tools may want to monitor Forrester's APO criteria as a reference frame for vendor evaluation.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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Weekly digest, 11 May 2026
"Decisions Included in Forrester Adaptive Process Orchestration Landscape"
Source: Let's Data Science – AI Governance
Published: 14 May 2026
URL: https://letsdatascience.com/news/decisions-included-in-forrester-adaptive-process-orchestrati-94573b6d
Forrester Research has published an Adaptive Process Orchestration (APO) Software Landscape for Q2 2026, covering 35 vendors that combine AI agents with deterministic and nondeterministic automation. The report's vendor criteria highlight governance, auditability, hybrid execution models, and human-in-the-loop decisioning as key requirements when deploying agentic AI in operational workflows. The immediate trigger for this coverage is a PR announcement by Decisions + ProcessMaker on their inclusion in the landscape. For APS practitioners, the more useful signal is Forrester's category definition and evaluation criteria rather than the vendor announcement itself.
Implications for Australian agencies:
- [Monitor] Procurement and governance teams assessing agentic workflow or process automation tools may want to monitor Forrester's APO criteria as a reference frame for vendor evaluation.
Retrieved from SIMS, 18 July 2026.