Commercial comparisons
AI receptionist versus answering service, call center, chatbot, or narrow voice agent—compared through actions, system access, handoff, and failure behavior.
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Editorial
Operating AI in the real world.
Practical analysis of AI operations, governance, security, workflow architecture, implementation, and the human decisions that remain essential.
AI Security · June 2026
Your AI quoted one patient’s chart to another. Nobody was hacked.
How cached context and session bleed can turn one customer’s information into another customer’s response—and what isolation must accomplish.
Read article → AI Governance · May 2026Shadow AI workflows
Why approved tools can still create workflows governance cannot see.
Read article → AI Operations · April 2026Stopping machine-scale alert cascades
Designing ownership and controls when automated work reaches operations queues.
Read article → AI Infrastructure · March 2026Observability is not a green dashboard
Why uptime monitoring cannot tell you whether an AI workflow made the right decision.
Read article → AI Operations · February 2026AI cost attribution by workflow
Connecting model and infrastructure cost to the operational workflow that created it.
Read article → Evaluation · January 2026When production data gets real
Why evaluation performance can collapse after a seemingly successful launch.
Read article → AI OrchestrationFrom AI agents to agentic workflows
Why answering a question and completing coordinated work are different product problems.
Read article → Healthcare ROIThe healthcare ROI reality check
How to separate defensible operational value from broad automation promises.
Read article → Platform StrategyThe orchestration platform era
What changes when organizations move from isolated agents to governed workflow systems.
Read article → Human + AIThe conductor operating model
Designing work so people retain judgment while AI handles repetitive coordination.
Read article → ArchitectureModel Context Protocol
How interoperable tools and context can support orchestration architectures.
Read article → ImplementationFrom pilot to production
A practical view of the controls, ownership, and workflow design required to operate AI.
Read article →Original evidence
Editorial connects to Claire Research.
The blog interprets operational problems and implementation choices. Claire Research publishes citation-ready studies with methods, sources, and limitations. Both should help buyers understand the work before they evaluate the platform.
Editorial standard
Articles should answer a real operating question.
Claire editorial content is organized around the decisions operators and buyers are already trying to make: whether to automate a workflow, where a human must remain involved, how to connect systems without inventing integration claims, how to test production behavior, and how to measure operational outcomes rather than model activity.
Each article should separate product capability from market evidence, link to the relevant industry and workflow cluster, identify the author and update date, and provide enough operational detail that a reader learns more than they would from a renamed generic AI article.
Workflow operations
Dispatch, intake, maintenance coordination, check calls, track and trace, FNOL, follow-up, approvals, and exception queues in the language of the people doing the work.
Governance and quality
Human control, evaluation, data boundaries, observability, incident handling, audit evidence, and the limits of automated decisions.
Original research
Methodology, sources, sample context, limitations, update dates, and clear separation between measured evidence and product interpretation.
Commercial clusters guide publication: an operational article should connect to the relevant industry hub, workflow page, implementation question, and demonstration. Pages without a distinct reader question or original contribution should be improved, consolidated, or left unpublished.
Authors should use the language of the operation—load, consignee, no heat, work order, FNOL, off-rent, referral—not generic substitutions. Original diagrams should show the customer, Claire, connected system, and human owner. Update dates and source notes help readers distinguish current evidence from enduring implementation guidance.
Editorial content should help a reader make or improve an operating decision. If an article cannot do that, it should not be published merely to increase page count.