Artificial intelligence
AI inside your existing software
AI inside existing software means adding AI features to the platforms, back offices and apps your business already runs, such as summaries, automatic classification, plain-language search and drafted text. It is for companies with custom software or their own platform who want to use AI without rebuilding what already works. Your team saves time on repetitive tasks and keeps making decisions on the same screen as always.
AI where your team already works
Open a separate AI tool, copy some text, paste the answer back: that is how many teams use AI today, with no rules and no record. Building AI into the software they already use changes that. The summary appears on the case, the suggested category on the request, the draft reply next to the customer's e-mail. Nobody switches screens, and the business knows what data left the system and where it went.
One task at a time
We don't start by "adding AI to everything". We start with one repetitive, measurable task: summarising a customer's history before a call, sorting support requests, suggesting replies to common questions. We build a prototype, test it on real data and measure the time saved. If it works, we build it in properly and move on to the next. If it doesn't, you find out early and for a small outlay.
Control, logging and transparency
Every AI feature has clear rules: what data it can read, never more than it needs, what it can suggest and what needs a person to confirm. AI-generated content is labelled, and every use is logged for audit. When a feature talks to customers, it identifies itself as an AI, as the AI Act has required since 2 August 2026.
When the system needs attention first
Sometimes the review shows the software carries technical debt that makes integration risky. In that case, a software and architecture audit or a project rescue comes first. If you don't have a platform of your own yet, a custom management platform can be built with these features from the start. The stages of the work are set out in how we work.
What you get
- Summaries of cases, requests, conversations or customer histories
- Automatic classification and routing of requests, e-mails or records
- Plain-language search over the data your system already holds
- Drafted replies, reports or descriptions, always reviewed by a person
- Clear labelling of AI-generated content, with every use logged
Best for
- Businesses with a custom management platform, CRM or back office
- Startups and SaaS companies that want AI features in their product
- Teams that spend the day reading, summarising and sorting requests
- Organisations that want to trial AI on one task before investing further
Typical features and modules
Integrations & automation
AI add-ons
- AI in the back office
- Smart search
- Document reading
- AI chat assistant
- AI transparency & logging
Compliance & security
- Security hardening
Hosting, e-mail & maintenance
- Monthly maintenance
How we deliver it
Talking to the people who use the software to find the most repetitive tasks
A technical review of the system, its available APIs and the data AI may read
A prototype of one feature, tested on real data with your team
Integration into the software, with permissions, logging and labelling of AI output
Monitoring how it's used and deciding on the next feature
Frequently asked questions
Does it work with software you didn't build?
In most cases, yes. We need access to the code, an API or the database, and we start by reviewing the system. If the software is closed with no API, we tell you straight away and suggest alternatives, such as a separate tool that reads exported data.
Do we need to rebuild the system?
No. AI comes in as a new feature inside what you already have, such as a "summarise" button on a case or a suggested category on a request. If the review uncovers deeper problems in the system, we explain them before going further.
Does the AI make decisions on its own?
Only if you decide it should, and we rarely recommend that at the start. Usually AI suggests and a person confirms, especially for decisions that affect customers.
Will customers know when they are dealing with an AI?
Yes. Since 2 August 2026, the EU AI Act requires people to be told when they are interacting with an AI system. If the new feature talks to your customers directly, such as an assistant in your portal, it identifies itself as an AI and lets them ask for a person.
How much does it cost?
Every project is quoted by hand from your requirements, so pricing is on request. The AI usage cost depends on request volume, and we explain it in the proposal. Request a quote
Shall we talk about your project?
Tell us what you have in mind and what you want to achieve.