AI Assistants and Smart Systems for Your Business
We build AI assistants that answer customer questions, gather information before a sale and make it easier for your employees to reach company knowledge. We connect the assistants to your knowledge sources and to the business systems they need.
AI assistants are software that answer your customers' and employees' questions from your company's own information, collect details when needed and start actions in connected systems. We build AI assistants for your website, WhatsApp, phone and internal channels, connected to your product, service and process information and to the business systems you already use.
On this page you will find what AI assistants are, how they work, where they help, and what needs to be clear before a project starts. Each sub-service has its own detailed page, linked from the cards below.
What is an AI assistant?
An AI assistant is a system built on large language models (LLMs) that understands a written or spoken question and answers in natural language. Three things set a business assistant apart from general-purpose chat tools: it bases its answers on sources the company has approved, its tasks and limits are defined in advance, and it hands the conversation to a person when it is not sure.
Chatbots, AI assistants and AI agents: the difference
| Rule-based chatbot | AI assistant | AI agent | |
|---|---|---|---|
| How it answers | Pre-written menus and scripts | Understands the question and answers from your knowledge sources | Answers and also acts through defined tools |
| Flexibility | Gets stuck outside the script | Understands questions phrased in different ways | Can carry out several steps in order |
| Typical use | Simple routing and menus | Information, support, pre-qualification | Creating records, appointments, order lookups |
| Control | Entirely script-bound | Sources, rules and handover steps | Permissions, approval steps and action logs |
Most projects combine all three: steps with a clear answer follow rules, open questions go to the AI, and steps that change data in a system run as approved actions. We cover assistants that take actions on the AI agents page.
How do AI assistants work?
- The knowledge sources are prepared. Product and service information, FAQs, procedures and documents are gathered, and outdated content is removed.
- The question is matched with the right sources. The assistant searches your knowledge sources for the passages that best fit the question. This method is known as retrieval-augmented generation (RAG).
- The answer is written within rules. The language model writes the answer from what it found; tone, scope and topics to avoid are defined in advance.
- An action or a handover follows when needed. Steps such as creating a record or sending an appointment request go to connected systems; when the assistant is not sure, the conversation passes to the right employee.
- Conversations are reviewed and improved. Unanswered questions and misunderstood phrasing are reviewed, and the knowledge sources are updated accordingly.
A ready-made tool or a company-specific AI system?
Ready-made chat tools that can be set up quickly are often enough for simple needs. If the assistant has to connect to several systems, show different information depending on user permissions, follow your own processes step by step, or meet specific requirements about where data is processed, a company-specific AI assistant is the better fit. In the needs assessment we look at both options and recommend the simplest solution that does the job.
Where do AI assistants help?
- Answering recurring customer questions whose answers are in your documents (customer support assistant)
- Collecting needs, timing and contact preferences before a sale (sales assistant)
- Helping employees find procedures, product documents and training material (internal knowledge assistant)
- Pointing website visitors to the right service and collecting enquiries (website chat assistant)
- Greeting callers, giving basic information and routing calls (voice AI assistant)
There are also cases where it is not the right tool. On legal, medical or financial decisions the assistant should only give general information and refer to an expert. If your knowledge sources are scattered or out of date, they need to be organised first. AI answers are not error-free in every case, so human oversight and regular reviews are part of every project.
Data protection
At the start of the project we define which information the assistant can access, which users can see what, and how conversation logs are stored. When choosing the AI provider we review together whether data is used for model training and where it is processed, and we take the guidance published by data protection authorities on generative AI and chatbots into account. This work does not replace legal advice; we recommend working with your legal adviser on privacy notices and consent.
Before you start an AI assistant project
- Decide on the first problem the assistant should solve and how you will measure success.
- Gather the documents, FAQs and current product information the answers will rely on.
- Choose the channels: your website, WhatsApp and other messaging channels, phone or internal tools.
- List the systems to connect, for example your CRM, booking or order system.
- Agree who takes over conversations and the rules for handing them over.
If these steps are not ready yet, that is fine; we can work through them together in the needs assessment.
Who are AI assistants for?
For businesses that struggle to keep up with recurring customer questions, want to organise how information is gathered before a sale, or want employees to reach internal knowledge more easily. To begin, we compile the product, service and process information the answers will rely on together.
Our AI assistant services
Start with the service you need, and we will develop the system together as your business grows.
Company-specific AI assistants
We prepare assistants that provide information about your products, services and ways of working. Together we define the sources the answers rely on, the assistant's tasks and the rules for handing over to staff.
Read more →Website chat assistants
We set up chat assistants that answer visitors' questions, point them to the right service and collect contact requests. We build flows that pass the conversation to the relevant employee when needed.
Read more →Sales and pre-qualification assistants
We build assistants that collect the customer's need, the service they are interested in and the details required for a meeting. We make sure this information reaches your sales team or CRM in an orderly way.
Read more →Customer support assistants
We set up AI-supported flows for frequently asked questions, usage guidance and support requests. Requests that cannot be resolved are routed to the relevant team together with a conversation summary.
Read more →Internal knowledge and document assistants
We make it easier for employees to reach procedures, product documents, training content and internal resources. Access to information is arranged according to user permissions.
Read more →Assistants that take actions in your systems
Depending on the scope and what the connected systems allow, we connect actions such as creating records, submitting appointment requests or checking order status to the assistant. We add user or employee approval where a step requires it.
Read more →Voice AI and virtual reception
We develop phone scenarios for greeting callers, giving basic information, routing calls and collecting appointment requests. The solution is planned around your phone infrastructure and how your business operates.
Read more →How could it work in your business?
The scenarios below are examples of how the service can be used; they do not describe completed client projects.
Pre-appointment information for a clinic
A healthcare practice uses a website assistant to answer general questions about its treatment process and to collect the details needed for an appointment request, which are then passed to staff.
Product catalogue advisor
A manufacturer answers dealers' questions about product specifications and technical documents with an assistant based on its catalogue; requests that need a quote are passed to the sales team.
Internal procedures assistant
An HR team handles employee questions about leave, expenses and onboarding procedures with a knowledge assistant whose access follows user permissions.
How do we work?
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01
Needs and current-state analysis
We review your goals, current tools and workflow together.
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02
Scope and implementation plan
We put the scope, responsibilities and implementation steps in writing, based on your priorities.
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03
Setup or development
We set up or build the planned solution and share the interim stages with you.
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04
Testing and approvals
We test the solution against real usage scenarios and obtain the necessary approvals before going live.
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05
Training and handover
We train your team and hand over access and documentation.
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06
Maintenance and improvement, by agreement
Where agreed, we monitor the system and plan improvements based on usage results.
What is delivered?
The delivery scope is agreed after the needs assessment. Depending on your project, it can include:
- Configured AI assistant
- Knowledge sources and answer rules
- Staff handover flow
- Test scenarios and results
- Usage and administration documentation
Scope and usage costs
Preparing the knowledge sources, testing with sample conversations, staff handover and usage tracking are planned as part of the project. The AI provider and usage costs are stated separately in the proposal.
Common questions about AI assistants
Related work
A support assistant that resolves two thirds of tickets alone
Four thousand supplier invoices a month, read by software
A receptionist that never puts a patient on hold
Let's define what you need together.
Tell us about your current setup and goals, and we will define the scope and implementation plan together.