Internal copilots
Give every team an assistant that can pull data, draft documents and complete routine tasks across your stack.
AI teammates that take action, not just answer
AI Agents
AI agents that don't just answer questions — they complete tasks and take actions across your systems, like adding capacity without adding headcount.
Overview
What AI Agents means for your business
A chatbot tells you where to find the answer. An AI agent goes and does the work. The difference matters: agents can look up an order, update a record, draft and send a reply, book a meeting or kick off a workflow — completing the task end to end while staying inside the rules and permissions you define.
We design AI agents that behave like reliable teammates. They know your business, they have access to the right tools, and they escalate to a human the moment something needs judgement. The result is more work completed without more hires.
At a glance
10x
Faster resolution on routine tasks
24/7
Always-on task completion
100%
Actions logged and auditable
0
Extra headcount to scale output
An AI agent is a system that can reason about a goal, choose the right tools to reach it, and take real actions in your software — then check its own work and hand off when needed. Modern agents combine a language model for understanding and planning with a defined set of tools (your CRM, ticketing system, database, calendar, internal APIs) and a set of guardrails that constrain what they are allowed to do. We build agents using production-grade frameworks such as LangGraph and the Model Context Protocol, connected to Claude and OpenAI models, so behaviour is observable, testable and controllable rather than a black box. Crucially, we scope agents narrowly: a support-resolution agent, an internal knowledge agent, an onboarding agent. Narrow scope is what makes agents dependable in production. Each one is grounded in your own documentation and data so answers are accurate and cite their sources, and each one logs every action it takes so you always have a complete audit trail. Agents are deployed with permission boundaries, rate limits and human approval steps for any high-stakes action, which means you get the leverage of autonomous software without giving up oversight.
Capabilities
What we deliver
The building blocks of our ai agents practice — combined and tailored to your business.
Knowledge assistants
Agents grounded in your policies, docs and product data that answer staff and customer questions accurately, with sources.
Task-completing agents
Agents that update records, trigger workflows, schedule and process requests — not just suggest, but do.
Tool & system integration
Secure connections to your CRM, ERP, helpdesk, database and internal APIs through a governed tool layer.
Guardrails & permissions
Fine-grained control over what each agent can see and do, with approval steps for anything high-stakes.
Full observability
Every decision and action logged and traceable, so you can audit, debug and continuously improve behaviour.
How we deliver
A clear path from idea to impact
Define the job
We scope a single, valuable job for the agent, its success criteria, and the actions it is and is not allowed to take.
Ground & connect
We connect the agent to your knowledge and tools through a secure, permissioned layer and ground it in your data.
Evaluate rigorously
We test against real scenarios and edge cases, tuning prompts, tools and guardrails until behaviour is reliable.
Deploy & supervise
We launch with logging, human hand-off and monitoring, then expand the agent's remit as trust is earned.
Use cases
Where it delivers
- A support agent that resolves common tickets end to end and escalates the rest with full context.
- An internal ops agent that pulls figures, updates systems and prepares reports on request.
- An onboarding agent that walks new customers or staff through setup and completes the steps for them.
- A research agent that gathers, summarises and files information across your knowledge sources.
Not sure where to start?
Book a free assessment and we will identify the single highest-return place to begin — and the results to expect.
Book free assessmentQuestions
AI Agents — frequently asked questions
A chatbot responds with text. An agent can take actions — call tools, update systems, complete a multi-step task — and verify the outcome. Agents are built to finish jobs, not just talk about them.
Through scope, permissions and guardrails. Each agent can only access the specific tools and data it needs, high-stakes actions require human approval, and every action is logged. We test extensively against edge cases before anything goes live.
We build with production frameworks such as LangGraph and the Model Context Protocol, connected to leading models including Claude and OpenAI. We select the model per task based on accuracy, cost and latency rather than defaulting to one.
Yes. We ground agents in your own documentation and systems using secure retrieval, and can deploy entirely within your cloud so sensitive data never leaves your control.
We define success metrics up front — tasks completed, time saved, resolution rate — and report against them. Agents ship with dashboards so the impact is visible, not assumed.
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Book your free AI automation assessment
Tell us where your team loses the most time — support, sales, admin or operations — and we will show you exactly what AI can automate first, and the results to expect.