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Explainers, platform comparisons and practical guides on process intelligence, AI agents and operational risk.
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- Enterprise AI agents compared: harness depth in 2026Wisp, SAP Joule and Palantir AIP checked against the harness features Claude Code and Codex made standard: tool search, skills, compaction, delegation, budgets, sandboxes, permissions and MCP. Vendor claims link to vendor docs.
- AI process modeling vs consultant workshops: the real advantageClassic BPM discovery depends on interviews, workshops, shadowing, and expert interpretation. AI-assisted modeling changes the capture surface: more sources, less lag, multilingual intake, and continuous model repair.
- Forrester Wave, Gartner Magic Quadrant, Everest PEAK Matrix: a process intelligence buyer guideHow enterprise buyers should read process intelligence analyst reports: what Gartner, Forrester, and Everest reward, and what to validate in a fit specification before buying.
- The process context layer: what enterprise AI needs before it actsGartner says weak semantics make AI agents inaccurate, expensive, and risky. The next enterprise AI layer has to connect data meaning with process state, ownership, controls, external signals, and governed action.
- Process intelligence for EU AI Act readinessThe EU AI Act turns AI governance into an operating question: which process uses AI, who oversees it, what data feeds it, what action can it take, and what evidence remains afterward?
- DORA and operational resilience: why process maps must stay liveDORA has applied since 17 January 2025. For financial entities, resilience evidence depends on live dependency maps, incident workflows, recovery playbooks, and audit trails.
- Process intelligence services: why consultants need a better delivery surfaceForrester's 2026 buyer guide puts funding, governance, provider differentiation, and accountability in focus. Consultants need a live surface that turns workshops into process models, evidence, governed AI action, and outcomes.
- Tariffs, ports, weather, sanctions: why process intelligence needs external signalsSupply-chain teams need more than shipment tracking. Process intelligence binds tariffs, port disruption, weather, sanctions, and logistics events to the shipment lifecycle, process owner, mitigation workflow, and audit trail.
- Closed-loop automation: what it actually meansMost automation is open-loop: fire and forget. Closed-loop automation observes outcomes and adjusts. Here is how the four stages work.
- Gartner 2026 Process Intelligence: the next fight is operational contextGartner's 2026 Magic Quadrant documents the market's move from process mining to process intelligence. The useful question now is who can turn context into governed action.
- Process intelligence needs a real-world data layerProcess intelligence has mastered the inside of the enterprise. The next layer binds processes to the live external world of geopolitics, trade, weather, and logistics that actually disrupts them.
- Process intelligence platforms compared (2026): Celonis, SAP Signavio, ARIS, Palantir, and GeistAn honest, source-cited comparison of process and enterprise intelligence platforms in 2026: where each one leads, and the gap Geist was built to fill.
- Why AI agents need process intelligence before they can safely actAgentic AI is moving into enterprise workflows, but Gartner's recent research points to the same blocker: agents need context, controls, and process state before they should execute.
- Why process intelligence, not process miningProcess mining shows you what happened. Process intelligence captures what's happening, models it live, and closes the loop. The distinction matters.
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