Agileday Raises €6.4M Series A for AI PSA

A fresh funding milestone for services-focused AI

Agileday, a Finland-based technology company building an AI-powered operating platform for professional services teams, has secured €6.4 million in a Series A round. This funding moment matters because professional services firms—consultancies, IT services providers, and delivery-led teams—are under constant pressure to grow revenue while keeping delivery quality, utilization, and margins predictable, and the industry is actively looking for systems that reduce chaos between sales, staffing, delivery, and finance.

From the perspective of the ai world organisation, this raise is another signal that “AI in the enterprise” is no longer just about chat interfaces or standalone copilots—it’s increasingly about operating platforms that connect real business workflows end-to-end. The same theme comes up repeatedly in the ai world organisation events ecosystem and in conversations that typically shape stages like the ai world summit, where leaders want practical AI that ties directly to outcomes such as forecasting accuracy, delivery speed, and decision-making clarity.

In other words, this is not merely a funding headline; it’s a snapshot of where enterprise AI adoption is heading: toward connected data, fewer silos, and systems that help teams execute faster without adding layers of process friction. That shift is exactly why stories like Agileday’s belong on the radar for people who follow ai conferences by ai world and track what’s next for modern work, services transformation, and AI-first operations.

Who backed the round and why it matters

The Series A was led by Newion, with participation from Specialist VC, Vendep Capital, and Business Finland. In early-stage B2B software, the identity of the lead investor often provides a clue about the “go-to-market bet” being made, and here the message is clear: Agileday is being positioned for scale, not just product refinement.

Newion is an Amsterdam-based venture capital firm focused on early-stage B2B software companies across regions including Benelux, DACH, and the Nordics, and it is known for investing in B2B cloud/SaaS and software businesses. That background aligns neatly with Agileday’s category—professional services automation with an AI layer—because PSA platforms tend to win when they combine product depth with disciplined expansion into repeatable customer segments.

The presence of multiple investors in the round also reinforces the idea that the market for modern PSA is heating up as services businesses try to “run on real-time,” rather than on delayed reports and disconnected spreadsheets. For the ai world organisation audience, this is the kind of funding event that often becomes a talking point at the ai world summit—especially in sessions about AI strategy, enterprise transformation, and the operational side of adopting AI beyond experimentation.

What Agileday is building for professional services teams

Agileday was founded in 2022 by Jaakko Hartikainen, Mikko Virtanen, Jaakko Hallavo, and Hannu Kärkkäinen. The company develops a professional services automation (PSA) platform that brings together talent management, resource allocation, timesheets, and project financials inside one operating system designed for services firms. In practical terms, this “single system” approach aims to reduce the typical fragmentation where sales teams track pipeline in one tool, delivery managers handle staffing in another, consultants log time elsewhere, and finance tries to reconcile everything after the fact.

Agileday is positioned between CRM and financial systems, connecting sales pipeline, project delivery, and financial data in real time, with AI supporting coordination across functions. That positioning is important because professional services leaders frequently struggle with the same recurring problem: by the time reports show a margin dip or a delivery risk, it’s already too late to fix without cost. A connected system can turn decision-making from reactive to proactive, especially when the data is live and consistently structured across departments.

Agileday’s own framing emphasizes unifying business data with people data—skills and interests—so the organization can grow while still supporting a better day-to-day experience for teams. In a statement cited in the coverage, co-founder and co-CEO Jaakko Hartikainen described the idea as unifying sales, project, and financial data together with people’s skills and interests into “one transparent platform,” with the aim of helping companies grow faster while creating “the work-life people deserve.” That combination—performance plus people experience—is increasingly a competitive differentiator, especially when service delivery quality depends on keeping skilled teams engaged and retained.

Agileday reports working with more than 70 service companies globally, spanning fast-growing consultancies through publicly listed enterprises. This kind of customer spread typically suggests that the platform is not being built for one narrow niche, but for the broader professional services market where different maturity levels coexist—some firms are scaling quickly and need structure, while others are large and need modernization without breaking existing operating rhythms.

For the ai world organisation community, Agileday is a strong example of “enterprise AI where it counts”: embedded into operational systems that sit close to revenue, delivery execution, and forecasting. It’s also a reminder that the next wave of AI transformation is often invisible on the surface—less about flashy demos and more about the quiet redesign of how businesses coordinate work across functions, a topic that fits naturally into ai world summit 2025 / 2026 conversations.

Where the €6.4M will go: expansion and platform scale-up

The stated plan for the new capital is to scale the technology platform and accelerate growth across Europe and North America. That geographical focus is a common next step for Nordic B2B SaaS companies once they establish early traction: prove product-market fit at home, build repeatability in nearby markets, then expand into North America where budgets can be larger but competition is intense.

From a platform standpoint, “scaling” in PSA typically means more than adding features. It often includes hard problems such as improving integrations, supporting more complex organizational structures, strengthening reporting consistency, expanding role-based experiences, and ensuring that AI-driven coordination works reliably across messy real-world data. Agileday’s broader positioning—real-time visibility across sales, delivery, and finance—also implies that accuracy and trust are non-negotiable, because leaders will only act on recommendations if they believe the underlying numbers and logic.

The funding headline also lands at a time when professional services firms are rethinking how work gets planned and priced in an AI-influenced market. As automation increases and client expectations rise, services businesses are being pushed to deliver faster, forecast better, and prove value more clearly—all while keeping teams staffed intelligently. Agileday’s focus on unifying operational data speaks to that pressure, and it’s exactly the kind of change leaders explore at the ai world summit and other ai conferences by ai world, where the practical question is always, “How do we operationalize AI without losing control of delivery?”

For the ai world organisation, stories like this are useful not only as news coverage, but as real-world evidence of where investment is flowing—toward platforms that modernize core operations rather than isolated point tools. In the context of ai world organisation events, it’s also a signal that the “operating system layer” for industries like consulting, IT services, and digital agencies is becoming a battleground category where AI is increasingly expected by default.

What this signals for the market—and why it fits AI World Summit discussions

Agileday’s raise is a reminder that professional services is a prime environment for applied AI because the domain has clear inputs (pipeline, staffing, time, delivery progress, margins) and high consequences when planning breaks down. When these inputs sit in different systems, leaders spend energy reconciling instead of improving execution; when they connect, organizations can respond earlier to risks and opportunities.

The bigger strategic takeaway is that “enterprise AI” is steadily moving into operational layers where decisions get made daily: who staffs what, when to hire, how to allocate scarce specialists, how to protect margins, and how to deliver consistently across multiple accounts. Agileday’s approach—connecting sales pipeline, delivery execution, and financial data in real time with AI support—fits directly into this trend. It’s the same pattern visible across many categories right now: AI becomes more valuable as the system’s context becomes richer, and richer context usually requires integration, governance, and workflow design.

That is why, at the ai world organisation, this story is not just a “startup funding” item—it’s a practical case study for future programming at the ai world summit. Whether the discussion is framed as “AI + Finance,” “AI + Operations,” “AI + Workforce,” or “AI + Delivery,” the common thread is orchestration: connecting the right data to the right decisions, at the right time, without drowning teams in administration.

It also reinforces a useful planning lens for organizations evaluating similar tools: the goal is not to “add AI,” but to reduce friction in how teams coordinate work. AI can accelerate tasks, but the real unlock often comes from aligning systems so that staffing, delivery, and finance stop behaving like separate worlds. For audiences that follow ai conferences by ai world, this is the kind of operational story that complements the bigger strategic narratives and makes AI adoption feel tangible, measurable, and worth investing in.

Finally, for readers tracking ai world summit 2025 / 2026 themes, Agileday’s momentum adds weight to the idea that the next competitive advantage in services will come from better operating models—models that treat people as more than resources, connect skills to demand, and make forecasting a living system instead of a monthly ritual. That’s a conversation worth bringing into the ai world organisation events calendar, because it sits right at the intersection of AI, productivity, and the future of professional work.