02 — Automate · AI Agents
An agent is software that can decide which steps to take to reach a goal — searching, calling APIs, reading documents, updating records. Built well, agents take on whole workflows. Built badly, they are unpredictable. We build them well.
In this service
The problem
Generic agents with broad permissions are hard to predict, hard to debug and risky with real customer data. Businesses need agents that are narrow, observable and accountable.
Our approach
Each agent we build has a defined goal, a limited set of tools with scoped permissions, evaluation scenarios and a complete trace of every step. High-impact actions require approval; everything else is logged and reviewable.
Capabilities
Gather and summarise information on companies, markets or topics.
Enrich enquiries, ask follow-up questions and score fit.
Resolve common requests using your policies and systems.
Clean, reconcile and categorise records at scale.
Carry multi-step tasks across CRM, email, calendars and internal tools.
Answer staff questions from policies, wikis and past work, with sources.
How it works
Goal, boundaries, tools, success criteria and escalation rules.
Scoped, permissioned tool interfaces to your systems.
Scenario suites covering common, edge and adversarial cases.
Tracing, approvals, cost controls and ongoing tuning.
See it working
Interactive demo
See an AI workflow step by step
Every enquiry answered, qualified and routed to sales in minutes.
Step 1 of 7
Website Visitor
A visitor lands on a service page from search and opens the assistant.
// example data (illustrative)
page: "/services/seo"
source: "organic"
intent: "pricing question"Technology
Use cases
Every enquiry researched, qualified and routed with a summary for sales.
Order status, bookings and policy questions answered around the clock.
Staff ask questions and trigger routine tasks in plain language.
Benefits
Agents respond in seconds, at any hour.
Same policies and quality on every interaction.
A full trace of every decision and action.
Least-privilege tools and approvals for high-impact actions.
Work
Illustrative scenario: an AI agent researches every inbound enquiry, scores fit and gives sales a briefing before the first call.
FAQ
A chatbot answers questions. An agent can also take actions — looking up records, updating systems, sending messages — to complete a task. That is why scope and permissions matter so much.
Only where you decide it should. Low-risk actions can be automatic; anything with financial, legal or customer impact can require approval.
With scenario-based evaluations run before every release, plus production metrics such as resolution rate, escalation rate and review outcomes.
Works well with
Next step
Tell us about your goals. We'll reply with clear next steps — no obligation.