AI Automation & Assistants
We bring practical AI into your daily operations: assistants that answer questions from your own data, models that read and classify documents, and voice or chat interfaces that let employees work faster. Always connected to your systems and always under your control.
Where companies typically struggle
Knowledge is hard to find
Answers are buried in manuals, emails, tickets and shared drives.
Repetitive text work
Teams spend hours writing summaries, replies, offers and reports.
Unstructured inputs
Emails, PDFs and photos must be read and sorted manually before anything happens.
AI pilots that never reach production
Experiments with chatbots stay isolated from real data, systems and security rules.
What we build
Internal AI assistant
A chat assistant that answers from your documents, products and processes, with source links.
Email and ticket triage
Incoming messages are classified, prioritised and routed, with draft replies prepared.
Summaries and drafting
Automatic meeting notes, report summaries, offers and customer replies for human review.
Voice-enabled workflows
Field and warehouse staff can create records and update jobs by voice.
Classification and extraction
AI reads free text and turns it into structured data for your systems.
Secure AI architecture
Role-based access, EU hosting options, logging and no training on your data.
How we deliver
Process audit
We map the current process, count manual steps and identify where time and errors are lost.
Automation design
We define triggers, rules, exceptions, approvals and the systems involved.
Pilot
One process goes live first, so you can see measurable savings within weeks.
Rollout
We extend the automation to more teams, processes and systems in stages.
Monitoring and tuning
Every run is logged; we monitor errors, adjust rules and keep improving.
Systems we typically integrate
We connect this solution with the systems you already run.
Business value you can expect
Frequently asked questions
Is our data safe?+
Yes. We use enterprise AI providers with contractual data protection, EU hosting where required and no use of your data for model training.
Will AI make decisions on its own?+
Only where you allow it. For important steps we design a human-in-the-loop review.
Which AI models do you use?+
We choose per use case — OpenAI, Google Gemini, Anthropic or open-source models — based on quality, cost and data requirements.
How do we measure the benefit?+
We define metrics up front, such as handling time, response time or error rate, and track them after launch.
Can we start small?+
Yes. A focused pilot on one use case typically takes 4–8 weeks.
Related services
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Let's look at what is slowing your business down
A short introductory call to review your current process, the main challenges and possible directions. No technical sales pitch, no commitment.
Tell us about your project
About two minutes to complete. We respond within one business day.