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ChatBot Services

Building a chatbot is only part of the story. The real value comes from connecting it to the right data, the right workflows, and the right intelligence. We offer a full suite of services to take your chatbot from a simple question-and-answer tool to a powerful, fully integrated part of your business.


More Than Just a Bot

Most chatbots fail not because the AI is wrong, but because the chatbot has no access to the information it needs, no understanding of your processes, and no way to take meaningful action on a user's behalf. Our services are designed to solve exactly that. Whether you need a lightweight FAQ bot or a fully autonomous customer-facing agent, we build the full stack around it — databases, workflows, knowledge bases, and intelligent reasoning — so the bot can actually do its job.

What We Build

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Database Integration

A chatbot that cannot reach your data is little more than a script. We integrate your chatbot directly with your existing databases — whether that's a customer database, a product catalogue, an order management system, or a bespoke internal store — so it can look up real information and give accurate, live answers.

We work with a wide range of database technologies including:

  • SQL Server, PostgreSQL, MySQL, and SQLite for relational data
  • Azure Cosmos DB and MongoDB for document and NoSQL workloads
  • REST APIs and OData endpoints for third-party system integration
  • Secure, read-only connections where write access is not required

All database access is designed with security in mind — scoped permissions, encrypted connections, and audit-ready query patterns are built in from the start, not bolted on afterwards.

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Workflow Design & Implementation

The most powerful chatbots don't just answer questions — they take action. We design and implement the workflows that sit behind your chatbot, allowing it to carry out multi-step tasks automatically in response to user requests.

Examples of workflows we design and build include:

  • Booking and scheduling — checking availability and confirming appointments
  • Lead capture and qualification — gathering information and routing to your CRM
  • Order status lookup and exception handling
  • Internal approval and notification chains triggered by user input
  • Escalation workflows — seamlessly handing over to a human agent when needed

Every workflow is designed collaboratively with you before a single line of code is written, ensuring it maps precisely to how your business actually operates — not a generic approximation of it.

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AI Agents Design & Implementation

Traditional chatbots follow fixed rules. AI agents are different — they reason, plan, and decide what steps to take in order to fulfil a user's request. We design and implement autonomous AI agents that can handle complex, multi-turn tasks that would otherwise require a human to manage end to end.

Our AI agent implementations typically include:

  • Tool use — the agent can call external APIs, run database queries, and trigger workflows as part of its reasoning process
  • Memory — the agent maintains context across a conversation and, where appropriate, across sessions
  • Planner-executor patterns — for complex tasks the agent breaks the problem down, executes steps in order, and self-corrects when a step doesn't go to plan
  • Guardrails & safety — clearly defined boundaries on what the agent can and cannot do, with full audit logging of every decision

The result is a chatbot that genuinely works for your business — capable of handling end-to-end requests without constant human oversight.

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Document Store Implementation

For chatbots that need to answer questions based on your own documentation — policy documents, product manuals, legal agreements, internal procedures, or training materials — we implement a dedicated document store using Retrieval-Augmented Generation (RAG). This gives the chatbot a structured, searchable knowledge base it can consult in real time.

Our document store solutions cover:

  • Document ingestion — uploading and processing your existing files (PDFs, Word documents, web pages, spreadsheets) into a structured store
  • Vector search — using semantic similarity to find the most relevant content for any user question, not just keyword matching
  • Knowledge base maintenance — processes and tooling to keep the document store current as your documentation changes
  • Grounded responses — the chatbot cites its sources, reducing hallucination and giving users confidence in the answers they receive
  • Access control — where needed, different user roles see different subsets of the knowledge base

Whether it's a customer-facing FAQ bot or an internal staff assistant, a well-built document store is what separates a genuinely useful chatbot from one that makes things up.

How It All Fits Together

These services are not standalone products — they are layers of capability that we combine and tailor to your specific requirements. A typical engagement might involve designing an AI agent that uses a document store as its knowledge source, a database to look up live customer data, and a set of workflows to take action on what it learns.

The combination you need depends entirely on what your chatbot is trying to achieve. That's why every engagement starts with a design session — so we can identify exactly which services apply to your situation and build a solution that genuinely fits, rather than one that's been forced into a template.

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Let's Talk About Your Chatbot

Not sure which services you need? Get in touch and we'll help you work it out — starting with a free initial consultation.

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