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AI assistants and coworkers: removing interface friction

Plain language access: No SQL knowledge, training sessions, or new systems to learn

  • Deep system integration: Beyond Microsoft Copilot's capabilities with custom business logic and direct ERP, CRM, and database connections

  • EU data sovereignty: Built-in compliance through our Bonzai platform

  • Action-oriented assistance: AI that doesn't just answer questions but actively completes tasks

  • Action-oriented assistance: AI that doesn't just answer questions but actively completes tasks

Our AI assistant and coworker services

Natural language access to ERP and CRM

We build AI systems that interpret questions, execute queries, and present answers in clear language. Your team gets the information they need without SQL knowledge, reporting delays or data team requests.

AI assistants built for your business processes

Generic chatbots don't understand your product catalogue, customer data, or internal procedures. We build assistants that incorporate your specific business logic, ensuring responses align with how your team works.

EU-hosted AI via Bonzai platform

Deploy AI assistants using our Bonzai platform, keeping all data processing and model inference within EU data centres.

MCP integration architecture

Build on the Model Context Protocol standard to create AI assistants that can securely access and act on your business systems.

Central skill registry

Develop and maintain a library of reusable AI capabilities that can be combined and deployed across different assistant implementations.

Action-oriented AI capabilities

Move beyond information retrieval to AI assistants that can execute transactions, update records, and trigger workflows on behalf of users.

Let's discuss your AI assistant needs

Joeri Timmermans

Joeri Timmermans

Business director Technology​

Our approach to AI assistants and coworkers

We start by identifying which systems consume your team's time not because tasks are complex, but because interfaces make execution unnecessarily difficult. That friction becomes our starting point for building assistants that integrate deeply with how your team already works.

Beyond standard productivity tools

Microsoft Copilot and similar tools excel within their ecosystems but often stop at the edge of your Microsoft environment. We build assistants that integrate directly with SAP, custom ERP systems, and undocumented business logic that determines how your organisation actually operates.

MCP as integration foundation

The Model Context Protocol connects existing data sources to AI assistants without infrastructure rebuilds. Adding new data sources means implementing one MCP server, not repeatedly launching custom integration projects.

Skill development and governance

AI assistant capabilities build from reusable skills; versioned components that encapsulate specific business tasks. Our central skill registry makes these available organisation-wide, enabling composition rather than rebuilding for each new assistant.

Why work with iO for AI assistants?

Deep system integration, not surface connections

We build assistants that work with complex, undocumented business logic that large organisations depend on. This requires understanding both technical systems and business domains.

From search assistance to operational action

Most AI assistants function as advanced search engines. We build systems that complete tasks: updating CRM records, retrieving documents, initiating processes. The difference between answering and helping.

EU data sovereignty through Bonzai

For organisations requiring EU data processing, our Bonzai platform provides compliant, model-agnostic deployment. Compliance becomes an architectural decision, not a constraint.

Production-ready development

Assistants that work in demos but fail with real user questions provide no value. We guide the complete journey from prototype evaluation to continuous improvement based on actual usage data.

Ready to reduce interface friction?