AI SOLUTIONS
AI Solutions
Let AI take the repetitive work, and keep your people on the decisions.
Services included
AI is worth adopting when it goes into a real process, not when it adds another chat window. We help you adopt AI customer service, process automation and RAG knowledge bases: repetitive, time-consuming manual work moves to the system, and common questions are answered from a knowledge base built on your own documents. Before anything is adopted, we map the operational bottlenecks and the state of your data to judge which steps suit AI.
WHO IT IS FOR
When this applies
These are the situations we see most often in the work we take on. If one of them matches where you are, it is usually a good time to talk.
“The same questions get answered dozens of times a day”
Opening hours, specifications, pricing rules — questions with a standard answer take up most of the support team's time, and outside office hours no one replies at all.
“Product manuals and pricing rules are scattered”
The answer is written down somewhere, but new staff do not know where to look, and experienced staff still page through file after file.
“The same set of documents eats several days every month”
Reports and standard documents are assembled by hand and copied between systems — repetitive, slow and easy to get wrong.
“You want to adopt AI but are unsure where it fits”
You know you want it, but not which steps should go to AI, or whether your current data is good enough to support it.
WHAT WE DO
What this service covers
Assessment
Adoption Assessment
We map the operational bottlenecks and the state of your data, to judge which steps suit AI.
Chatbot
AI Customer Service
Common questions answered around the clock; anything it cannot find is handed to a person.
Automation
AI Process Automation
Documents and reports generated automatically, systems connected, notifications scheduled.
RAG
RAG Knowledge Base
Answers drawn from your own documents, with the source cited; an update means replacing a file.
SCOPE & TIMELINE
Project size and schedule
Settle the scale first, then the details. The actual scope and quote always follow the requirements interview and the agreed function list; we do not sell fixed packages.
- Adoption assessment (AI process audit)
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Schedule
The schedule depends on how many departments and how many processes are covered; it is set out when the scope of the assessment is confirmed
How it is priced
The process audit defines the scope first, and pricing then follows the steps actually adopted
- AI customer service and RAG knowledge base build
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Schedule
The schedule depends on how many documents there are, how well organized the data is, and which support channels are connected; it is set out once the knowledge base scope is confirmed
How it is priced
The build is priced by document volume and the channels connected; model usage is billed on actual calls and is listed separately in the quote
What it covers
We map the operational bottlenecks and the state of your data, say which steps suit AI and which do not, and only then decide whether to go further. This can be taken on by itself; you do not have to choose what to adopt beforehand.
What it covers
A knowledge base built on your own documents, able to cite its sources. When it cannot find an answer it replies that it is not sure and hands the conversation to a person, and after launch it keeps growing from the conversation logs. The knowledge base can sit on a server you nominate.
The schedule and pricing notes on this page are for planning purposes. The formal quote is issued in writing, based on the scope agreed in the requirements interview.
WHEN NOT TO BUILD
If a build is not warranted, we say so
Not every request is worth building. In the situations below we will suggest holding off, or handling it a less expensive way, and explain why.
- Where AI does not fit, we will not force it in
- If the assessment shows that a step is not suited to AI, we say so and explain why. We do not adopt AI for its own sake.
- Judgments about money and entitlements stay with people
- AI can still get things wrong, so answers are restricted to the knowledge base you provide. When it cannot find an answer it replies that it is not sure and hands over to a person, which is far safer than letting it guess.
FAQ
Frequently Asked Questions
Can AI customer service give wrong answers?
Yes, which is why we restrict its answers to the knowledge base you provide rather than letting it improvise. When it cannot find the data it replies that it is not sure and hands the conversation to a person, which is far safer than letting it guess. After launch, the conversation logs show what it answered wrongly or could not answer at all, so the knowledge base keeps growing and accuracy improves month by month.
How does a RAG knowledge base differ from ordinary AI customer service?
The difference is where the answer comes from. Ordinary AI customer service answers from what the general model already knows, which can produce statements that have nothing to do with your company. RAG first finds the relevant passages in your product manuals, pricing rules and FAQs, answers from those passages, and can cite the source. When the information changes you replace the document; there is no need to retrain the model.
Is it safe to put internal company data into AI?
The risk is controlled through how it is deployed. The knowledge base sits in your own database or on a server you nominate, we restrict which data it can reach, and queries are logged. If external models are a concern, you can move to an enterprise plan that states plainly it will not train on your input, or consider running an open-source model on your own server.
SELECTED WORK
Other case studies
INSIGHTS
More articles
Read more about how we work
MORE SERVICES
Other services
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Custom Software Development
Software that fits your process, not a process bent to fit the software. -
Digital Marketing
Systems first, marketing to spread the word — so your content appears where customers look for answers. -
Mobile App Development
Put your service on the screen your customers already open every day. -
Corporate Network Planning
The groundwork your systems need to run reliably, planned in one pass.
LET'S TALK
Let's write your next system in the future tense.
Not sure which one to start with? Tell us where the work gets stuck today, and we will propose how to tackle it and what the scope should be, before we talk price.