Industries
Choosing and governing AI assistants, agents and automation.
How to choose · AI assistants
Pick an assistant by the work it must do and the data it will touch, not by how impressive a demo feels. Check whether business plans keep your content out of model training, whether admins can manage seats and sign-in, which file and connector types are supported, how usage is capped, and how easily you could export your history and leave.
How to choose · AI agents
Judge an agent platform by how safely it can act, not by how clever it sounds. Check tool and permission scoping, human approval steps, logging of every action, the ability to test on realistic scenarios, failure handling, and how costs scale with task length. A narrow, well-bounded agent beats a general one that nobody can audit.
How to choose · Workflow automation
Choose by the apps you must connect, the complexity of logic you need, how failures are surfaced, and how pricing scales with volume. Connector coverage and error handling matter more than a polished builder. Also check credential security, team access controls and how easily workflows can be exported if you outgrow the platform.
How to choose · Enterprise AI tools
Select on governance fit and integration depth before model capability. Verify identity and permission inheritance, data residency and retention, admin visibility into usage, evaluation and guardrail tooling, connector breadth into your systems of record, support for multiple model choices, and a commercial model that stays predictable as adoption spreads beyond the first enthusiastic teams.
General chat assistants for work and personal use.
Systems that take actions across tools.
No-code and integration platforms.
Company-wide deployments and governance.
Drafting, editing and media generation.
Developer assistants and code generation.
Analysis, forecasting and search over company data.
Policies, privacy and vendor due diligence.