What Our AI Agents Do

What Our AI Agents Actually Do for SMEs (Examples Included) These are some of the agent workflows we build. The point isn’t “automation for its own sake”. The point is this: An agent doesn’t just answer. It runs a process.It watches inputs, makes decisions using your rules, uses tools, escalates when needed, and logs what … Read more

Discovery to Delivery

Discovery Sprint → Implementation Sprint → Managed Ops How we take AI from “interesting” to “operational” Most “AI projects” fail for one of three reasons: vague goals, messy reality, or a charming lack of guardrails.Our service is built to avoid all three. You choose the level you need: Discovery Sprint A short, paid engagement where … Read more

Case Studies

Real-World AI Agent Case Studies (Anonymised) Most businesses don’t need “AI.” They need fewer dropped enquiries, faster resolution, fewer mistakes, and a clear audit trail when something goes wrong. The examples below are anonymised. They include only information we are allowed to share and are deliberately written at a level that protects client identity, internal … Read more

AI Chatbot vs AI Agent

AI Chatbot vs AI Agent: Same Buzzword Family, Very Different Personalities People keep using chatbot and agent as if they’re interchangeable. They’re not. That’s like calling a waiter and a head chef “the same thing because both involve food”. An AI chatbot mostly talks.An AI agent does things (often across multiple steps, sometimes across multiple … Read more

Short Demo

What an AI Agent Looks Like in Practice (Short Demo) What you’re seeingThis is a short walkthrough of our Reference Triage Agent — a demonstration of how an AI agent can classify messy inbound messages, identify missing information, draft a safe reply using approved templates, and escalate risk cases with an audit trail. ImportantThis demo … Read more

AI Agents

Agents are only useful when they behave like operational systems: scope, guardrails, escalation, and logs. What an AI agent is An AI agent is a workflow worker: it takes input, follows your rules, produces controlled output, and escalates when it should. What makes our agents reliable What we will not promise Reliability

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