An AI cockpit for your business.
We connect AI to all your systems — website, CRM, files, calendar, internal databases — and build the cockpit your team uses to operate everything via natural language. We build the agents; you keep configuring them — no vendor lock-in.
The problem
AI is here. But it doesn't know you.
AI tools run in isolation
ChatGPT, Copilot, Claude — they don't know your customers, sales, or content. Every question requires you to re-explain everything before you get an answer.
Every system has its own interface
CRM here, accounting there, calendar somewhere else, website different again. Nobody knows all tools — and nobody wants to learn them all.
Growth means more tools, not fewer
Every new function means a new system. People become the living interface between everything — instead of focusing on the actual business.
What we build
An AI cockpit that understands your company.
Six building blocks for integrating AI into your business — we build the agents, you keep configuring them yourself.
Central AI cockpit
One surface where your team can talk to the entire company — web app, chat interface, or embedded in existing tools.
System integrations
We connect AI to your systems — CRM, accounting, calendar, files, website, internal databases — via APIs and Model Context Protocol (MCP).
Natural language control
Commands in plain language trigger real actions across your systems — book appointments, check invoices, change content, generate reports. Chat by default, voice optional.
Self-service automation via AI
Your team describes new workflows in words — the AI builds them. No more external agency for every small adjustment.
Internal knowledge base
The AI has access to your documentation, processes, contracts, customer history — and answers questions with your knowledge, not generic web knowledge.
Custom AI agents
Specialised agents for recurring tasks — sales assistant, HR research, operations monitor. We build the foundation, you extend it continuously.
Process
From audit to live cockpit in 4 steps
Audit & use cases
We analyse your system landscape and identify with you the five use cases where an AI cockpit has the biggest lever.
Design & architecture
We design the cockpit — which commands, which integrations, which permissions, which data-protection architecture. Before a line of code is written.
Build & integration
We build the agents, connect your systems via APIs and MCP, and set up the cockpit as the central surface — modular, so you can extend it yourself later.
Training & handover
We train your team — and hand over the keys. You can configure agents further, add new commands, let the system grow.
Examples from practice
Two AI cockpits, anonymised.
AI-powered website editor
For a business client we layered an AI surface over the existing website. Content changes no longer happen through the CMS interface but as natural-language commands to an agent — which makes the changes directly and presents them for approval.
Content changes ran through a technical CMS interface. Marketing staff had to wait until someone with CMS knowledge had time. Small typos often stayed up for days.
"Make the hero title shorter and add a reviews section" — done. Changes in minutes, every team member can do it themselves, every change is automatically documented.
AI CRM assistant for the sales team
For a sales team we built an agent with full CRM access. Instead of clicking through filters and reports, the team asks questions in natural language — and gets answers in seconds, including sources and drill-down options.
A question like "who showed interest in product X last week" meant 20-30 minutes of click-research in the CRM — and usually an incomplete answer.
Type the question into chat, get an answer in seconds — with the list of contacts, latest activities, and a suggestion for the next step. Sales team gains hours per week.
Industries and use cases deliberately anonymised. We build AI cockpits for sensitive data in Swiss-hosted architecture too.
FAQ
Questions about AI Integration
The most important answers around setup, data protection, models, and your independence after handover.
Automation runs in the background without your involvement — we build the workflows, they do their job. AI Integration builds the layer your team actively uses to talk to your systems: you ask, give commands, let the AI build new automations. Both complement each other — many clients use both in parallel.
Practically all modern systems with an API — CRM (HubSpot, Salesforce, Pipedrive, Bexio), accounting (Bexio, einzly, KLARA), calendar (Google Workspace, Microsoft 365), files (Drive, OneDrive, Dropbox), websites (any modern CMS), internal databases. Anything without an open API: usually doable via Model Context Protocol (MCP) or a custom connector.
We pick the best model per use case — Claude for complex tasks, GPT for others, open-source models for sensitive data that should stay local. Multi-model setups where useful. No lock-in to a single provider.
On request fully Swiss-hosted, with models running in the EU or locally. Sensitive data never goes to external AI providers — we architect setups so you keep full control and stay compliant with Swiss FADP / GDPR.
No. We deliberately build agents so you can configure them yourself — add new commands, adjust prompts, connect more tools. You get full documentation and training. We stay available for larger extensions, but day-to-day operations sit with you.
Which tool annoys you most right now?
Show us your five most important systems — we'll sketch what a central AI cockpit for your business could look like.