AI and automation
MCP stands for Model Context Protocol. In practical terms, an MCP server gives an AI agent a catalogue of information and actions it is allowed to use. Instead of only suggesting what to do, the agent can request a defined operation in your system.
Create a lead, look up a record, prepare a customer reply or trigger an internal step. We define tools around your workflows and the access your existing systems actually provide.
The protocol makes it easier to connect compatible agents. It does not make your data public or give every AI system full access. Authentication, client or user permissions and parameter validation remain essential.
Reading, creating and changing records involve different risks. Sensitive actions may need approval, additional checks or a dry run. Operations should be traceable, with duplicate prevention where needed.
A first server can expose a small set of useful actions and expand after validation. Compatibility depends on the agent, supported protocol and business systems involved.
Integration map
Every exposed action is named, limited and logged. Pick a use case to see which actions the agent can request, and which need approval.
What comes in
AI agent
Rules, limits and audit log
MCP server
Your tools
Service company, installer
Each web request is qualified, recorded and followed by a meeting proposal.
Reads the request: need, location, urgency, stated budget.
Applies your criteria: service area, type of job, duplicates.
Creates the lead in the CRM with a summary and a priority.
Suggests open slots from the team calendar.
Sales takes over for any quote or unusual request.
Autonomy levelRecorded automatically, quotes by a person
Illustrative scenarios: every setup is scoped to your tools, your access rights and your rules.
No. We start with business actions: who should be allowed to do what, in which system and with which approval.
No. Only compatible clients that are authenticated and authorised within the agreed scope can use the exposed tools.
No. It provides controlled access to selected CRM or other system functions without replacing their business logic.
A sending action can be defined, but it needs explicit permission and human approval where appropriate.
Use limited permissions, server-side checks, input validation, approval gates and audit logs. The protocol alone does not guarantee security.
AI agents, document processing, custom MCP servers and AgendIA. Practical ways to embed AI in business workflows with the controls they need.
PDF and email processing, data extraction, validation and content generation. Custom AI agents working within your business processes and review rules.
CRM, invoicing, customer records and integrations. ArkiPay designs software around your workflows to reduce duplicate entry and support follow-up.
A quote scoped to your needs — remote across Belgium, on site when useful.
