01 / AI IMPLEMENTATION FOR BUSINESS

Less routine.
More possibilities.

We implement AI for businesses of every size — from sole traders to large organisations. From a simple improvement to a solution integrated with your systems.

Let’s talk about AI See examples

A simple start

An assistant for everyday work, organising messages or a first automation. One objective and a limited scope.

FOR INDIVIDUALS AND SMALL TEAMS

Team processes

Knowledge search, document workflows and customer support. Shared rules, roles and training.

FOR GROWING BUSINESSES

Business integrations

Connections to CRM, ERP, your shop and other applications. Access control, testing, monitoring and a phased launch.

FOR COMPLEX ENVIRONMENTS

02 / EXAMPLE APPLICATIONS

What could AI do for your business?

These are examples of possible implementations, not completed client projects.

Company knowledge base

An assistant searches approved documents and identifies its sources. It only sees materials the current user is allowed to access.

Email and requests

Message classification, summaries and draft replies. A team member can approve sending or changing data in the CRM.

Documents and forms

Extracting data from invoices or forms and preparing a system entry. Amounts, fields and exceptions go through validation.

E-commerce support

Help answering questions and preparing descriptions using your catalogue. Content is reviewed before publication.

Notes and tasks

Meeting summaries and suggested next steps. Recording scope, permissions and retention rules are agreed before launch.

Reports and analysis

Combining data and explaining results. Verified code performs the calculations; AI helps interpret the report.

03 / BENEFITS WE VERIFY

Results matter more than the “AI” label.

We compare performance before and after a pilot. Savings need to be measured.

Less repetitive work

Less manual copying and organising. We measure task handling time, including corrections.

Faster access to knowledge

Information closer to the people who need it. We check answer relevance and source accuracy.

More effective support

Helping your team handle more requests. We track quality, cost and escalation rates.

HOW WE WORK

From discovery to everyday use.

01. Discovery

We explore the process, data and constraints. We agree the objective, acceptance criteria and an initial cost.

02. Pilot

We test one scenario on a controlled sample, comparing quality and effort.

03. Implementation

We connect systems and test permissions and exceptions. We prepare instructions and a rollback plan.

04. Maintenance

We monitor agreed metrics, costs and errors. Further development follows a clear business need.

04 / RISKS AND LIMITS

AI creates opportunities. It needs oversight.

We address risks across the whole solution. A prompt alone cannot replace safeguards.

Incorrect answers

AI can produce convincing false information. We use sources, tests, validation and an “I don’t know” path.

Data confidentiality

An unsuitable tool or access setting can expose data. We agree information scope, retention and permissions.

Unwanted actions

Malicious content can influence the model. We limit permitted actions; important changes require approval.

Costs and dependencies

Increasing use, price changes and provider outages affect the service. We agree limits, alerts and a fallback mode.

Quality and freshness

Incomplete data and bias can distort results. We verify materials and test scenarios.

Overreliance

An automated suggestion is not an independent expert decision. We define responsibility, oversight and training.

GOOD TO KNOW

Before we begin.

Do we need to replace our systems?

Not by default. We first review APIs, integration options, licences and data quality. Only then do we propose changes.

Where will data be processed?

We agree this before implementation. We compare external services, private environments and local solutions, including their limitations.

What makes up the cost?

We specify analysis, implementation, model usage, infrastructure and maintenance separately. The pilot budget and criteria for continuing are agreed in advance.

LET’S START WITH ONE PROCESS

Show us what takes up your time.

Describe a repetitive task and the systems you use. We will assess whether to start with AI, an integration or a better process.

Discuss your implementation