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Crediamo che il rapporto con le nostre persone si fondi su fiducia, chiarezza degli obiettivi e piena autonomia nel raggiungerli. Grazie al supporto dell'AI, dedichiamo più tempo alle attività che generano valore: pensare, creare, innovare e prendere decisioni. Qui il valore del lavoro si misura sulla qualità del contributo, sui risultati raggiunti e sulla responsabilità di ciascuno. È proprio questa visione, costruita nel tempo, ad aver reso naturale la nostra settimana lavorativa di 4 giorni: un giorno in più ogni settimana da dedicare a ciò che conta per te.
Patente B, necessaria per spostamenti e trasferte legate alle attività del ruolo
TeamSystem provides business software for professionals and small to mid-sized enterprises, including accounting, payroll, and enterprise resource planning (ERP), with a strong emphasis on cloud-based solutions. Its product suite helps users manage financials, HR, and operations from one integrated platform. The company has grown from a local software provider into a European tech player through a sequence of acquisitions and strategic investments, shifting focus from on‑premises tools to cloud services and scalable subscriptions. Its differentiators include a long track record of expansion via partnerships with leading private equity firms and investors, and a deliberate push into cloud-based offerings that enable scalable, subscription-based delivery. The overarching goal is to become a dominant force in European business software by providing integrated, cloud-enabled solutions that help professionals and small businesses run their operations more efficiently and remotely.
Company Size
1,001-5,000
Company Stage
Debt Financing
Total Funding
$770M
Headquarters
Pesaro, Italy
Founded
1979
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Wolters Kluwer enhances Genya Expert AI: automated bank reconciliation for Italian accounting firms. Wolters Kluwer launches Genya Riconciliazione Estratti Conto on October 15, 2026: AI-powered bank statement reconciliation for Italian studi professionali. Impact analysis. Wolters Kluwer Tax & Accounting Italia announced on October 15, 2026 two new Expert AI capabilities in its Genya cloud suite for Italian accounting firms (studi professionali): a natural language conversational interface and Genya Riconciliazione Estratti Conto, an automated bank reconciliation module that interprets transactions and suggests invoice-to-supplier matches (ChannelTech.it, October 15, 2026). Both capabilities extend the group's Expert AI strategy, which combines generative, agentic, and domain-specific AI across its vertical product lines. Stocker en ligne A mature market held back by a persistent manual task. Italy's studi professionali market - accounting firms, tax advisors, and business consultants - is among Europe's most advanced in digital compliance. Since the mandatory e-invoicing requirement via the SDI system came into force in 2019, these firms have built operational expertise that few European markets can match. Yet bank reconciliation has remained one of the last major time-consuming manual tasks: line-by-line comparison of bank statements against accounting records, identification of unmatched transactions, and reclassification of ambiguous transaction descriptions. For a firm managing several SME clients, this is repetitive work that consumes accountant time on low-value-added tasks. Wolters Kluwer is drawing on more than ten years of AI investment for this release (ChannelTech.it). Adoption evidence already exists on the same platform: Genya Dichiarativi Expert AI, launched in March 2026, was adopted by approximately 2,500 studi professionali in its first 60 days, generating nearly 50,000 queries (ibid.). That figure signals genuine demand among Italian firms for AI capabilities embedded directly in their practice management tools. Practical impact for accounting firms and their SME clients. Two features, two distinct productivity gains. The conversational interface lets practitioners query their accounting data in natural language without leaving their workflow in Genya. Rather than navigating between screens to find a client balance or check a payment deadline, the professional asks a question and receives a contextualised answer. For a firm handling dozens of files simultaneously, this directly reduces navigation time on routine lookup tasks. Genya Riconciliazione Estratti Conto goes further: the module interprets bank transactions along with associated data (clients, suppliers, amounts, invoices, due dates) to automatically suggest matches within Genya. Sergio Liscia, VP and General Manager of Wolters Kluwer Tax & Accounting Italia, summarises the ambition: "AI becomes truly useful when it stops being perceived as a separate technology and integrates naturally into professionals' daily work" (ChannelTech.it). For a CFO or accounting manager processing bank statements in volume, the operational value is clear: automating transaction matching frees time for variance analysis, supplier dispute resolution, and higher-value advisory work. Human oversight remains necessary - the module proposes, the accountant validates. In the competitive studi professionali market, this announcement positions Wolters Kluwer against TeamSystem and Zucchetti, both of which have launched their own AI initiatives in this segment. Zucchetti, the national market leader with over 700,000 clients (zucchetti.it), and TeamSystem have invested heavily in their digital offerings. Differentiation now comes down to the depth of AI integration within existing business workflows, not the breadth of core functional coverage. What to watch. The real test will be matching quality in production. An automated reconciliation module only delivers operational value if the match rate is high enough to reduce manual work without introducing more errors to correct than it resolves. Maintaining the reference data corpus - suppliers, recurring transaction descriptions, chart of accounts - will be critical to long-term reliability. The coming weeks of production usage feedback, particularly from firms managing clients with complex banking flows, will be the true performance indicator. Choisir un ERP Never miss its ERP guides. Get expert insights to run a successful ERP project and avoid the costly pitfalls.
Private equity firms Francisco Partners and KKR have agreed to buy minority stakes in Italian software company TeamSystem from main investor Hellman & Friedman, according to sources. Francisco Partners acquired approximately 10%, while KKR and other investors bought roughly 5%. The deal values TeamSystem at between €8 billion and €10 billion ($9.27 billion to $11.59 billion). TeamSystem provides accounting, payroll, and business management software to companies and professionals. The company currently generates more than €1.3 billion in revenue and about €600 million in core earnings. H&F first invested in TeamSystem in 2016, when the company generated €75 million in EBITDA. The transaction allows H&F to partially cash out whilst transferring its remaining stake to another fund it manages.
Francisco Partners, KKR to buy minority stakes in Italy's TeamSystem, sources say. Published on 09/11/2026 at 08:43 am EDT - Modified on 09/11/2026 at 09:23 am EDT MILAN/LONDON, Sept 11 (Reuters) - Private equity firms Francisco Partners and KKR have agreed terms to buy minority stakes in Italian software company TeamSystem from its main investor Hellman & Friedman, three people familiar with the matter said. H&F agreed to sell a stake of around 10% in TeamSystem to Francisco Partners, while a further roughly 5% stake was sold to other investors including KKR, the sources said. The deal values TeamSystem, which provides accounting, payroll and business management software to companies and professionals, at between EUR8 billion and EUR10 billion ($9.27 billion to $11.59 billion), two of the people said. The deal comes after a steep selloff in software stocks this year, partly driven by concerns about AI's impact on the sector. Those fears have weighed heavily on valuations and threatened to derail transactions across the industry. Against that backdrop, the transaction is an encouraging sign for private equity firms with significant exposure to software assets in their portfolios. The transaction allows H&F to cash in part of its investment while transferring its remaining stake to another fund managed by the private equity firm, two people and another separate source said. All the people spoke on condition of anonymity because the terms are private. H&F, Francisco Partners, KKR and TeamSystem all declined to comment. It also demonstrates the ability of H&F to reduce its stake in a major holding through a so-called private IPO process, enabling it to return capital to investors at a time when sponsors have struggled to bring their largest portfolio companies to the public markets. BET ON BUSINESS SOFTWARE One of the people said TeamSystem products are closely integrated with government e-invoicing systems used by small and medium sized enterprises, making its products harder for AI-driven competitors to replicate. H&F, which first invested in TeamSystem in 2016, held a 69% stake in the company as of July, according to a corporate filing. The same filing showed that Silver Lake and Abu Dhabi sovereign wealth fund ADIA, which acquired stakes in TeamSystem from H&F in 2023, owned 12.8% and 9.8%, respectively. The Financial Times reported in July that the buyout firm was seeking a valuation of about EUR8 billion for the business. That valuation implied a multiple of roughly 16.5 to 17 times TeamSystem's 2025 adjusted earnings before interest, taxes, depreciation and amortisation of EUR476 million. TeamSystem currently generates more than EUR1.3 billion in revenue and about EUR600 million in core earnings, according to one of the sources. When H&F first invested in the company, it generated an EBITDA of EUR75 million, the person added. Elsewhere in the industry, private equity firm Silver Lake announced this week that it will merge its two French software companies, Cegid and Silae, creating a group valued at more than EUR10 billion. ($1 = 0.8628 euros) (Reporting by Elvira Pollina and Amy-Jo Crowley in London, editing by Anousha Sakoui and Louise Heavens) By Elvira Pollina and Amy-Jo Crowley (C) Reuters - 2026
Latham & Watkins has advised TeamSystem, a European provider of AI-powered cloud-based SaaS solutions for small and medium businesses, on issuing €700 million senior secured fixed rate notes due 2032. The firm also advised on increasing TeamSystem's revolving credit facility from €350 million to €409.5 million. TeamSystem operates across Italy, Spain, Turkey, France, and Israel, providing mission-critical software that enables digital transformation for SMBs and professional customers. The company is backed by Hellman & Friedman. The senior secured notes offering strengthens TeamSystem's capital structure as it continues expanding its cloud-based platform across European markets.
Infrastructure capital accelerates: data centers lead $32 billion AI buildout. Global investors deploy record capital across energy, connectivity, and AI compute infrastructure Eighty-three infrastructure deals closed across seven days last week - a pace that signals sustained capital momentum in the infrastructure buildout race. The volume alone warrants attention. But the composition is more revealing: data center deployment now anchors infrastructure investment, with nearly a third of all signals focused on digital infrastructure, power access, and connectivity for AI compute. From SpaceX securing $6.3 billion for an AI compute facility to Cypress Creek Secures $3.5B for Solar and Storage, capital is flowing toward the infrastructure required to scale artificial intelligence systems globally. Data centers dominate the infrastructure cycle. Data centers accounted for 27 signals in the past week - just under a third of all infrastructure activity. This concentration reflects a structural shift in private capital priorities. The category encompasses everything from hyperscale facilities (Prometheus Hyperscale's multi-gigawatt Wyoming campus, now approved for development) to specialized infrastructure for specific computing needs (Groq's $650 million funding round for inference chips and cloud infrastructure). Three patterns emerge within this cohort: First, mega-deals are normalizing. DataBank secured $1.45 billion for a data center buildout, Pattern Energy deployed $1.2 billion in structured equity for utility-scale renewable power (SunZia), and Digital Realty announced a 600MW campus in Kansas. These are not one-off announcements. They reflect sustained LP capital and developer confidence in 24-36 month project horizons. Second, power infrastructure - not real estate - is the bottleneck. Verse raised $54 million in Series B funding specifically to accelerate power connections for AI data centers. TAR raised $27 million for behind-the-meter renewable power systems. This detail matters: developers can license land and secure permits relatively quickly. Power is the constraint. Investors now chase solutions to that constraint. Third, geographic diversification is underway. The United States dominates by deal count (45 of 83 signals), but European expansion is visible (Teamsystem's €700 million bond issuance in Italy, Prometheus planning European data center capacity). Asia-Pacific activity remains lower in visible deal volume but shows signs of acceleration. Renewable energy and power integration accelerate. Renewable energy and power infrastructure combined for 22 signals - roughly 27% of all infrastructure activity. This reflects both structural demand from data centers (which consume 1-2 megawatts per 100MW of compute) and regulatory momentum toward carbon-neutral infrastructure in Europe and certain U.S. states. Cypress Creek's $3.5 billion solar and battery storage deployment is the headline here. But the category also includes smaller, more specialized plays: Noveria Energy's grid integration deal with TenneT Germany (connecting variable renewable output to the transmission grid), CIM Group's $600 million construction financing for permanent power capacity, and multiple merchant power projects securing development approval. The narrative thread is clear: capital is confident that renewable energy can meet peak AI infrastructure demand. No major deals required fossil fuel baseload. Instead, developers are building hybrid systems (solar + battery + grid integration) and securing investment through structured equity and construction financing. Capital sourcing signals institutional conviction. The funding mechanisms matter as much as the headline figures. Structured equity deals (Pattern Energy), construction financing (CIM Group), and equity rounds for enabling technologies (Verse, TAR) all appeared in the past week. These mechanisms indicate that institutional LPs - pension funds, endowments, and dedicated infrastructure funds - are not just allocating to megadeals. They are investing in the supply chain and financing infrastructure to deploy capital faster. Seedcamp's €279 million fund raise (aimed at European-stage startups) and the broader fundraising activity in infrastructure-adjacent spaces (software, connectivity, power management) suggest that the LP appetite extends beyond the headline rounds into the full ecosystem. What the market is telling InforCapital, partnership. Infrastructure investment at this pace and composition tells InforCapital, partnership three things: First, the AI infrastructure buildout is not slowing. Capital remains confident in multiyear deployment horizons. Second, power and connectivity are now bottleneck investments - not afterthoughts. Third, geographic diversification is accelerating, which should ease bottleneck risks in the U.S. market. The risk to this narrative remains macro: sustained high interest rates could slow construction start timing, though deal structures (like Pattern Energy's arrangement) are already addressing this through long-term power purchase agreements that de-risk project returns. For now, the data shows a market in sustained motion. Eighty-three signals in seven days is not a sprint. It is the cadence of institutional capital finding conviction in a structural thesis.