How to use MCP and AI agents to supercharge your daily operations in professional services
With Agileday MCP (Model Context Protocol), your firm can securely expose real-time operational data as tools for your own AI ecosystem. That means AI clients like ChatGPT, Claude, or Gemini, and customer-built AI agents running in Slack, Teams, or custom apps, can work directly with live staffing, skills, projects, and utilization data — inside your own tenant, with your existing permissions and governance model.
Thursday, February 5th, 2026
3pm CET | 2pm GMT | 9am EST
In this 45-minute live session, you’ll see Agileday MCP running in a real production environment together with Coventures, a modern professional services firm using Agileday to operate day to day.
Inside the session:
- How to connect AI agents to your operational data securely through Agileday MCP
- How to use external clients such as Slack, Claude or ChatGPT as your extended UI for daily operations
- See the most value-adding use cases demonstrated in a real production environment
In practice, your people — and your AI agents — can access and act on operational data instantly, for example:
- “Which projects are ending in the next three months, and who will be available?”
- “Show senior data engineers on the bench in Q3 with experience in financial services.”
- “What’s our planned utilization for Q1 in the US and Nordics?”
- “Add this new certification to my profile and suggest matching openings.”
- “Fill-in my time card based on allocations and change Thursday to sick leave”
All of this is powered by Agileday MCP, a native service inside Agileday that respects GDPR, OAuth 2.0, and your existing access rights. No third-party AI accelerators acting as proxies for your core operational data.
In this live webinar, Agileday Co-Founder and Head of Product, Jaakko Hallavo, explains the design principles behind the MCP and how it connects agentic AI to day-to-day operations, while Coventures' Interim COO, Matias Koskinen, will demonstrate customer-built AI agents running live on top of real operational workflows
Why it matters:
This session shows what happens when AI agents are connected directly to operational data — securely, in production, and under your control. You’ll see how professional services firms are already using MCP-powered agents to answer real questions about staffing, utilization, skills, and delivery — and what it actually takes to enable this in your own environment.
