AI & automation
We design and implement AI agents, automation and MCP integrations that connect securely to your existing systems and take repetitive work off your teams.
What we implement
Assistants that complete entire tasks: they look up information, fill in documents, update systems and hand over to a colleague when needed.
We build Model Context Protocol servers that give AI assistants secure access to your company’s applications and data.
Automated workflows between applications: order intake, invoicing, reporting, notifications and data sync between CRM, ERP and your online store.
Assistants that answer from your internal documents — procedures, contracts, manuals — with source citations, using semantic search (RAG).
Automatic extraction of data from invoices, contracts, forms and emails, validated and entered into your existing systems.
Automated support on your website, in your app or on WhatsApp, connected to orders, stock and bookings, with hand-over to a human agent.
Model Context Protocol
The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources. Introduced by Anthropic in 2024 and now governed by the Agentic AI Foundation under the Linux Foundation, MCP is supported by the major AI platforms.
For a business, it means one integration that works with several AI assistants, with clear permissions and audited access. We build MCP servers for your internal applications so your team can work with company data directly from their AI assistant of choice.
Read the full article on MCP →AI assistants
ClaudeChatGPTGeminiCopilotCustom agentsCompany systems
CRMERPDatabaseDocumentsEmailAI & automation
We connect AI models to your company’s data and applications — CRM, ERP, documents, email — through agents, automation and MCP servers. Processes get faster, errors get rarer, and your team focuses on the work that truly matters.
Use cases
Lead qualification, automatic CRM updates and personalised proposal generation.
Order intake, stock checks, delivery planning and automated daily reports.
Invoice intake from e-invoicing systems and email, reconciliations and mismatch alerts.
Instant answers to common questions, ticket creation and prioritisation.
Onboarding, answers about internal procedures and employee document management.
Natural-language questions over company data and on-demand reports.
How we work
We identify repetitive processes and estimate the time and cost that can be saved.
We automate a single process with clear goals in 2–4 weeks and measure real results.
We integrate the solution into your existing systems, with permissions, monitoring and team training.
We extend to other processes and continuously optimise model cost and performance.
Security & compliance
FAQ
We choose the model based on the task, cost and privacy requirements — Claude, GPT, Gemini or privately hosted open-source models. The architecture lets you switch providers without rebuilding the integration.
Yes. We use enterprise APIs that do not train on your data, can process data within the EU and apply strict permissions. For highly sensitive data, we offer models hosted on your own infrastructure.
An MCP server exposes an application’s data and functions to AI assistants in a controlled way. Your team can query the CRM, ERP or documents directly from Claude, ChatGPT or Copilot — no copy-paste and no unrestricted access.
In most cases, yes. We connect through APIs, databases, email or files. Where no API exists, we build a dedicated integration layer.
We recommend starting with a pilot on a single process with measurable goals. From the start, we present both the implementation cost and the estimated monthly running cost.
Book a 30-minute call. Together we identify the first processes that can be automated and their estimated impact.
Book a call