AI Assistants & Chatbots for Businesses
Assistants grounded in your own catalog, documents and policies - answering from your data instead of guessing, with a clean handover to a human.
AI & Automation Scalable Secure Performance Reliable Long-Term Support
AI & Automation
An assistant is only as good as what it can look up. We build assistants that retrieve from your catalog, documentation, policies and business systems before answering, so the reply comes from your information rather than a model's general knowledge.
They sit where your users already are - your website, a customer portal, or the tools your staff work in - and hand the conversation to a person, with its history, when they should not answer it.
When an assistant is the right call
An assistant pays off when the same questions arrive constantly and the answers already exist in writing. It is a poor bet when they do not, or when nobody can afford them to be wrong.
Worth doing
The cases where an assistant earns its keep:
The same product, order, shipping, returns and warranty questions every day- Documentation that is good, but that nobody can find anything in
- A large catalog customers must be walked through before they can choose
- Employees losing time searching policies, procedures and technical docs
- Routine requests that end in an action - a ticket raised, a record updated
Not a fit
We will say so if you land here:
- The knowledge lives in people's heads and was never written down - that comes first
- Your documentation is out of date; an assistant will repeat the errors faster
- Every answer is binding and there is no room for a human check
- Too few conversations to justify grounding, testing and maintaining it
What you get
- An assistant grounded in your approved content, that says it does not know rather than inventing
- Retrieval that respects permissions - each user sees only what they are allowed to
- Handover to your support or sales team with the conversation history intact
- Actions as well as answers: raise a ticket, update a record, route a request
- Deployment on your website, portal, mobile app, Microsoft Teams or Slack
- Conversation analytics showing what people ask and what the documentation lacks
- The repository, the hosting and the model provider account - in your name, documented
What we connect it to
The answers worth having are the ones that need live data. We connect assistants to ERP and CRM systems, e-commerce platforms, PIM systems, support software, CMS platforms, document repositories, authentication providers and internal APIs - so the assistant can check stock, look up an order or open a ticket rather than describe how.
How we build it
- We start with the questions you actually get and where the answers live today
- Your documentation is organised and connected so retrieval is reliable, not lucky
- Retrieval, permissions, tone and refusal behaviour are settled before the chat window
- Tested on real questions, including the ones it should refuse or escalate
- Deployed on your channels, then improved as the analytics show what is missing
Frequently Asked Questions
What is the difference between an AI assistant and a traditional chatbot?
A traditional chatbot follows scripted flows. An assistant uses a language model with your business data, handling natural language and a far wider range of requests.
Can the AI answer questions using our own documents and product catalog?
Yes. We ground it in your documentation, catalog, knowledge base, policies and manuals, so answers come from content you approved.
Which file formats and data sources can be connected?
PDFs, Word documents, spreadsheets, websites, databases, APIs, CMS platforms, knowledge bases and cloud storage, among others.
Can the assistant integrate with our CRM, ERP, or e-commerce platform?
Yes - CRM, ERP, e-commerce platforms, support tools and custom applications, for live lookups and workflow actions.
How do you prevent the AI from providing inaccurate answers?
It retrieves from trusted sources before answering, and can be configured to say it lacks the information rather than guess.
Can conversations be transferred to a human support agent?
Yes. Routine requests are handled automatically; anything else goes to your team with the history preserved.
Can employees and customers have different access permissions?
Yes. Role-based access decides what each user can retrieve, so sensitive content stays with authorized users.
How is sensitive business data protected?
Through authentication, authorization, encrypted communication, secure integrations and controlled access to each data source.
Which AI models can be used?
Commercial models, open-source models or private deployments, depending on your goals, budget, privacy requirements and environment.
Can the assistant be improved as our business and documentation evolve?
Yes. As documentation changes and products are added, its knowledge is updated without a rebuild.
Discuss Your AI Assistant Project
Tell us what people keep asking and where those answers are written down today. You will be talking to the developer who would build it.
Start Your Project 
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