Insights
Practical guidance for putting AI agents to work.
Field guides for enterprise teams choosing use cases, connecting systems, defining controls and moving from a promising pilot to an operated capability.
START HERE · 6 min read
A shared definition makes every later decision more precise, including scope, architecture, governance and measurement.
What is an AI agent? A practical guide for enterprise teams
A plain-English guide to what agents do, where they fit and what must be true before one is trusted with real work.
Read the guideLibrary
All guides
10 articles
What is an AI agent? A practical guide for enterprise teams
Understand the difference between an AI agent and a conventional application, then assess whether a job genuinely needs one.
Read guide →AI agents vs automation vs chatbots: choosing the right approach
Choose between deterministic automation, conversational assistance and an action-taking agent based on the job.
Read guide →How to identify a high-value AI agent use case
Find repeatable work with meaningful handling cost, bounded judgement and accessible systems.
Read guide →How to integrate AI agents with existing enterprise systems
Connect agents through governed interfaces without creating another isolated platform or uncontrolled data copy.
Read guide →AI agent governance: the controls to define before production
Turn governance from a policy exercise into controls that operate on every agent run.
Read guide →Human-in-the-loop AI agents: where review belongs
Design review around consequences, uncertainty and exceptions rather than asking people to inspect everything.
Read guide →From AI pilot to production: a four-week delivery framework
Organise discovery, connection, testing and release around one operational job.
Read guide →How to measure AI agent ROI without inventing the numbers
Build an evidence-based business case with a real baseline and costs that continue after launch.
Read guide →Reporting agents: turning dashboards into decisions
Add a governed interpretation layer over existing analytics and reporting systems.
Read guide →Build or buy an AI agent: a decision guide for enterprise teams
Choose based on differentiation, integration, control and operating ownership rather than feature lists.
Read guide →Have a job in mind? Test it against the guides, then bring it to us.
A 45-minute scoping call, with an engineer in the room. You leave with a written view of what an agent would do, what it connects to and what it would take to build.
What we will ask you