Chatbots & Conversational UIs
I build conversational interfaces that are backed by real agentic systems — not just a language model with a text box. These are chat-based front ends connected to agents that can query databases, trigger workflows, search documents, and take actions on behalf of users.
More than a chatbot
A good conversational UI is the simplest possible interface to a powerful back-end system.
The value of a conversational interface isn't the chat window itself — it's what's behind it. When a user types a question and gets an answer that pulls from your CRM, checks your inventory system, and references your internal documentation, that's not a chatbot. That's an agent with a chat interface.
I build these systems end-to-end: the conversational front end, the agent logic that interprets requests and orchestrates actions, the MCP integrations that connect to your systems, and the guardrails that keep the agent within its defined scope. The result is a natural language interface to your business operations.
What I build
Conversational interfaces for different audiences and use cases.
Internal tools with chat access
Chat interfaces that let your team query internal systems using natural language. Ask questions about sales data, look up customer records, check project statuses, or search documentation — without needing to know which system holds the answer.
Customer-facing assistants
Polished conversational interfaces for your customers — support assistants that can look up orders, answer product questions, and route complex issues to human agents. Built with your brand voice, with clear boundaries on what the assistant can and cannot do.
Agent query interfaces
Interfaces for querying and interacting with back-end AI agents. Check on the status of automated processes, ask agents to explain their reasoning, review and approve pending actions, or trigger agent workflows through conversation.
Back-end agent integration
The conversational UI is just the front end. Behind it, I build the full agent stack — tool selection, context management, memory, MCP integrations, and the orchestration logic that turns a user message into a series of actions and a coherent response.
Customisation and branding
Conversational UIs styled to match your brand — colours, fonts, tone of voice, and personality. Whether it's embedded in your website, deployed as a standalone app, or integrated into Slack, Teams, or another messaging platform, it feels like yours.
Guardrails and safety
Every conversational system I build includes scope boundaries, input validation, output filtering, and fallback behaviour. The agent knows what it can talk about, what it should refuse, and when to escalate to a human. No uncontrolled hallucination or off-topic drift.
Want a chat interface that actually does things?
Tell me what your users need to access through conversation. I'll build the interface and the agent behind it.