Custom GPT & RAG Chatbots
Chatbots trained on your own documents, website and data, so answers are accurate, on-brand and come with sources.
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AI Agent Development
What we build

Overview
AI agent development for businesses that want AI to do real work, not just answer questions. We build custom AI agents that complete multi-step tasks such as qualifying leads, booking meetings, updating your CRM, processing documents and sending follow-ups, connected securely to the tools you already use. We also build MCP servers that let assistants such as Claude and ChatGPT work with your own software and data. Every agent is planned around a real business process, with human approval on the steps that matter and clear reporting on what the agent did.
Learn more about AI agentic workflows, WordPress MCP servers and AI agents and automating business processes with AI.
We map the workflow first, then decide where an agent helps and where a simple automation is enough.
Approvals on the steps that matter, plus logs of every action the agent takes.
Agents connect to your CRM, email, calendar, sheets, databases and apps through secure APIs.
Secure connections, role-based access and no training of public models on your data.
What we offer
Pick the service you need, or combine them into one complete project.
How we work
A simple, transparent process so you always know what happens next.
We learn your goals, users and budget, then agree on scope, timeline and cost.
Wireframes and visual designs you can review and approve before any code is written.
Clean, secure and scalable code, shared with you in regular demos.
Every feature is tested on real devices so launch day goes smoothly.
We go live, monitor performance and keep improving after launch.
Cost estimate
Answer a few quick questions to get a ballpark price. No signup needed.
FAQ
An AI agent is software that understands a goal and completes several steps to reach it, such as reading an enquiry, qualifying the lead, updating your CRM and booking a call, instead of only answering a single question.
Common uses are lead qualification, appointment booking, customer support triage, document and email processing, report preparation and keeping data in sync across your tools.
A chatbot mainly answers questions. An AI agent takes actions across your systems, such as creating records, sending messages or scheduling meetings, often with human approval on key steps.
MCP (Model Context Protocol) is a standard way to let AI assistants such as Claude and ChatGPT use your own tools and data. We build MCP servers so these assistants can safely work with your software.
We work with OpenAI, Anthropic Claude and Google Gemini models, and choose based on the task, cost and privacy needs.
It depends on the workflow, the number of tools the agent connects to and how much human review is needed. Share your process and we send a fixed, itemized quote within 24 hours.
A focused agent for one workflow usually takes 2 to 6 weeks, including testing with real examples before launch.
Yes. We use secure API connections, role-based access and data minimization, can sign an NDA, and your data is not used to train public models.
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Have a project in mind?
Tell us what you want to build. We will reply with a clear plan, timeline and cost, usually within one business day.
Planning an AI Agent Development project?
Share a few details and get a clear plan and cost estimate for your AI Agent Development project within 24 hours.
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Our team will review your idea and get back to you with the next steps within one business day.
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