AI Agents & Assistants
AI agents that do not just answer questions — they take actions. From processing customer refunds to scoring leads and drafting outreach, our agents are embedded directly into your operations.
What we build
We build AI agents using Claude, GPT-4.5, and Gemini — selecting the model that performs best for each specific task. Agents connect to your live systems via API, which means they can read data, take actions, and update records in real time.
Unlike a chatbot that reads from a static knowledge base, our agents have access to live context: order history, CRM records, inventory levels, account status. They can make decisions based on real data, not just scripted answers.
Every agent includes guardrails, monitoring, and a human escalation path. We test thoroughly before deployment and continue monitoring performance once live.
Common use cases
- Customer support agents that process refunds, re-ships, and order updates
- Sales assistants that score inbound leads and draft personalised outreach
- Internal knowledge agents that answer staff questions using your documentation
- Booking agents that qualify prospects and schedule meetings automatically
- Compliance agents that review documents against rules and flag exceptions
- Operations assistants that handle routine requests and route complex ones
Typical results
Built with
We select the best model for each task.
Common questions
What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An AI agent takes actions. Our agents can process refunds, update CRM records, send emails, book meetings, and escalate to a human when the situation calls for it. They operate within defined boundaries but make real decisions within those boundaries.
Which AI models do you use?
We build with Claude (Anthropic), GPT-4.5 (OpenAI), and Gemini (Google) depending on the use case. Most of our agents use Claude for its reliability and nuanced reasoning, but we always select the model that performs best for the specific task.
How do you ensure the agent does not say something it should not?
Every agent is built with guardrails — defined boundaries around what it can and cannot do or say. We test extensively before deployment, and every agent has a human escalation path for edge cases. We also monitor agent conversations so you can spot and fix issues early.
Can the agent hand off to a human mid-conversation?
Yes. Every agent we build has a handoff mechanism — it can pass the conversation to a human rep with full context, including the conversation history and a summary of what has been discussed. The handoff is seamless from the customer's perspective.
Ready to future-proof your business?
Book a free discovery call. We'll map your highest-ROI automation opportunities in under 30 minutes.