AI & Automation
AI Receptionists & Voice Agents
Answer every call, qualify enquiries and book appointments around the clock.
Explore Service : AI Receptionists & Voice AgentsAI & Automation
Custom AI agents combine a language model with access to your tools — email, CRM, documents, spreadsheets, APIs — so they can research, decide and act across several steps. We design clear boundaries, approval points and logging so you stay in control.

Overview
AI agents are the next step beyond chat: software that can pursue a goal by reading information, deciding on next steps and using tools such as your CRM, inbox, spreadsheets and internal APIs. Used well, they take on research, preparation and coordination work that currently consumes hours of skilled time each week.
The difference between a useful agent and a risky one is design. We scope each agent to a clear job, give it only the permissions it needs, add human approval for anything consequential and log every action. We evaluate agents against realistic test cases before launch, and we measure accuracy and time saved afterwards so you know exactly what the agent is worth.
Custom AI Agents
Use cases
Research leads, draft personalised outreach and update the CRM for review.
Process documents, reconcile records and prepare reports on a schedule.
Investigate tickets across systems and propose resolutions to your team.
Process
We pick one well-defined workflow and agree what success, failure and escalation look like.
We expose only the actions the agent needs, using scoped credentials and approval steps.
We build a test set of real scenarios and iterate until the agent performs reliably.
We monitor runs, review logs and widen the agent's scope only when the data supports it.
FAQ
A chatbot answers questions. An agent can take actions in your tools — within the permissions and approval rules you set.
Yes, so we design approvals for anything consequential, test against realistic scenarios and log every action for review.
We choose the model per task based on quality, cost and data requirements, and keep the architecture portable.
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