Agileday raises €6.4M to scale an AI-driven operating platform for professional services
Agileday secured a €6.4 million Series A led by Newion, with Specialist VC, Vendep Capital, and Business Finland participating. The company is building a people-first operating layer that connects CRM, delivery, resources, and finance into one real-time system for professional services firms.
The goal is simple: remove silos, improve visibility, and make decisions based on live data instead of spreadsheets and gut feel. For product teams, this is the kind of platform that turns pipeline-to-cash into an end-to-end flow you can monitor and optimize.
What the product actually does
Agileday is a professional services automation (PSA) platform that unifies sales pipeline, project execution, resource planning, timesheets, and financials. It sits between your CRM and finance tools, syncing data across teams without manual handoffs.
AI is embedded at the core to surface capacity risks, speed up planning, and feed your teams with context they usually dig for. Think real-time staffing recommendations, forecast accuracy improvements, and faster quote-to-delivery cycles.
If you're new to PSA as a category, here's a quick primer: Professional services automation.
Signals that matter to product development
- Single source of truth: sales, delivery, and finance aligned on one dataset-clean inputs for your roadmap, pricing, and capacity calls.
- Real-time forecasting: dynamic resourcing and margin visibility without exporting CSVs every Friday.
- AI in the loop: suggestions for allocations and timelines that reduce fire drills and context switching.
- Operational guardrails: scenario planning, utilization targets, and early risk flags you can wire into process and permissions.
Traction and who's betting on it
Agileday serves 70+ services companies, from fast-growing consultancies to listed enterprises, with strong demand in Europe and North America. Customers include Apply Digital, Propeller, The Electric Factory, Knowit, Siili Solutions, and Eficode.
The company reports 3x year-over-year growth and a 100% win rate in client evaluations, according to the team. As co-CEO Mikko Virtanen put it, Nordic values like trust and radical transparency translate into faster delivery and better results when processes serve people.
Why they built it
Founders Jaakko Hartikainen, Mikko Virtanen, Jaakko Hallavo, and Hannu Kärkkäinen-alumni of Tieto-saw the same problems across services businesses: fragmented systems, reactive decisions, and people treated like line items. That shaped a product focused on transparency, human-centric leadership, and data-driven operations.
"Professional services firms don't fail for lack of talent," says co-CEO Jaakko Hartikainen. "They fail because information is fragmented and decision-making is reactive. We built Agileday to change that."
What's next with the new funding
The €6.4M will go to product development, deeper AI capabilities, and expansion across Europe and North America. Demand is rising as firms rethink how work is sold, delivered, and managed in an AI-driven market.
Newion's Anton Keller points to strong product-market fit and international growth, noting that the team has lived the operational pain points they're solving. That experience shows in a platform tuned for real, messy service operations-not slideware.
Implementation checklist for product and engineering leaders
- Data model: map pipeline, projects, skills, rates, and revenue recognition to a unified structure. Define ownership and SLAs per field.
- Integrations: connect CRM, HRIS, finance, and time tracking via API. Kill duplicate entries and shadow spreadsheets.
- Forecasting: set targets for forecast accuracy, utilization bands, and delivery lead times. Review weekly, automate alerts.
- AI guardrails: document how AI suggestions are used (staffing, estimates, pricing ranges). Keep a human in control with audit trails.
- Change management: start with one pilot business unit, then scale. Train leads on scenario planning and backlog-to-capacity alignment.
- Compliance: ensure role-based access, PII handling, and regional requirements are locked in before rollout.
What to watch
- Deeper AI features: capacity and pricing recommendations, risk scoring, and variance explanations that product can measure, not just admire.
- Enterprise scale: performance under large multi-geo orgs, complex rate cards, and advanced rev-rec rules.
- Ecosystem fit: ease of integrating with your CRM/ERP stack without heavy custom work.
Why this matters
Services businesses run on people, time, and timing. If your data is fragmented, product decisions get slower, margins shrink, and teams burn out.
A unified operating layer gives you leverage: cleaner signals, faster iterations, and fewer surprises. That's the difference between hitting plan and running hot every quarter.
Level up your team
If you're building or adopting AI-enabled ops, upskilling the team pays off fast. Browse practical options by role here: AI courses by job.
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