Custom AI Chatbots & Agents
AI assistants that actually know your business. We build chatbots and intelligent agents trained on your data, integrated with your tools, and designed to handle real work — not just generic responses.
Why Build a Custom AI Agent?
Off-the-shelf chatbots know nothing about your business. They hallucinate answers, send customers in circles, and erode trust. A custom AI agent is different — it is trained on your actual data, follows your business rules, and integrates with the tools your team already uses.
The technology behind these agents has matured rapidly. Retrieval-augmented generation (RAG) means the AI pulls real answers from your documents instead of making them up. Tool-use capabilities mean the agent can query your database, update your CRM, or trigger a workflow — not just talk. And modern LLMs like Claude and GPT-4 handle nuance, context, and multi-step reasoning at a level that was not possible even a year ago.
We handle the full stack: document processing, vector database setup, prompt engineering, tool integration, deployment, and monitoring. You get an agent that works reliably on day one and improves over time as you feed it more data and feedback.
What We Build
Customer Support Bots
AI chatbots embedded on your website or app that answer customer questions 24/7 using your documentation, FAQs, and product information. They handle the routine questions so your team can focus on the complex ones.
Internal Knowledge Assistants
Private AI assistants trained on your internal documents — SOPs, policies, training materials, project archives. Your team asks questions in natural language and gets accurate answers sourced from your own data.
Document Q&A Systems
Upload contracts, reports, research papers, or regulatory documents and ask questions across the entire collection. The AI retrieves the relevant passages and synthesizes an answer with citations back to the source material.
Multi-Step Research Agents
AI agents that go beyond Q&A to execute multi-step tasks: gathering data from multiple sources, cross-referencing findings, generating structured reports, and delivering results — all triggered by a single prompt.
Data Analysis Agents
Agents that connect to your database or spreadsheets and answer analytical questions conversationally. Ask "what were our top 10 customers by revenue last quarter" and get the answer without writing SQL.
Intake & Triage Bots
AI-powered intake forms that ask follow-up questions based on responses, classify submissions by type or urgency, extract structured data, and route the request to the right person or system automatically.
How We Build It
From scoping to deployment in 2–4 weeks, depending on complexity.
Scope & Data Review — 1-2 days
We define what the agent needs to do, what data it needs access to, and where it will live (website widget, Slack, internal tool, API). We review your existing documents and data sources to assess quality and coverage.
Knowledge Base Construction — 3-5 days
We process your documents and data into a structured knowledge base optimized for AI retrieval. This includes chunking, embedding, and indexing your content so the agent can find the right information quickly and accurately.
Agent Development & Tuning — 1-2 weeks
We build the agent, write the system prompts, configure tool integrations, and iteratively test against real questions. We tune for accuracy, tone, and edge-case handling until the agent performs reliably.
Deployment & Handoff — 2-3 days
We deploy the agent to your chosen platform, set up monitoring and logging, and provide documentation for your team. We include a 30-day support window to catch any issues that surface in production use.
Who Is This For?
Customer-Facing Businesses
E-commerce stores, SaaS products, service businesses, and hospitality operators who field the same customer questions repeatedly. An AI chatbot handles the volume while maintaining quality.
Knowledge-Heavy Organizations
Law firms, healthcare offices, consulting agencies, and government departments sitting on large document archives. An internal knowledge assistant makes that information instantly accessible to the whole team.
Teams Drowning in Data
If your team has the data but lacks the time or SQL skills to query it, a data analysis agent turns your database into a conversational interface anyone on the team can use.
Technology We Use
Ready to Build an AI Agent for Your Business?
Tell us what you need and we will scope it out. Whether it is a simple FAQ bot or a multi-step research agent, we will give you an honest assessment of what is feasible, what it costs, and how long it takes.
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