Insights
Clarity for the next decision.
Substantive guidance without invented numbers, written for people accountable for real industrial processes.
AI discovery
AI process discovery: selecting the right first workflow
A decision framework for businesses that want to begin with a measurable, controllable process rather than a fashionable tool.
Read article →Delivery
From AI pilot to production with forward-deployed engineering
Why integration, evaluation, process ownership and user enablement are the real work between a demo and dependable operation.
Read article →AI co-work
Designing a human–agent co-work operating model
How shared cases, knowledge, approvals and corrections let agents take on work while people retain meaningful control.
Read article →Managed agents
Managed or self-hosted agents? Positioning OpenClaw and Hermes
A neutral comparison of self-operated and managed agent frameworks focused on permissions, updates, isolation and accountability.
Read article →Agent platforms
When an integrated, governed agent platform makes sense
Which requirements extend beyond one agent and when orchestration, knowledge, connectors, governance and evaluation need a platform.
Read article →Governance
Agent governance: approvals, data boundaries and evaluation
A practical control model for agentic systems covering accountability, tool permissions, traceable actions and fixed quality tests.
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