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Last year it was 32%. The Customer Service Benchmark Report '26 tracks how fast AI moved from pilot to production across 33,889 support orgs, and what it changed for response and resolution.

Connect your AI coding assistant to ezeep MCP and build print workflows in a fraction of the time. Watch it live in our webinar on 4 November, 14:00 CET.

Native app, native onboarding, then a web page right at the purchase step. Keep the whole flow native, start to finish.

Webview paywalls look like a web page inside your app, and users notice. Rebuild yours native, no app release needed.

Release the order, the right warehouse printer does the rest. Learn how to connect business events to physical print output with ezeep, and build it as a repeatable service for your customers.

Wir feiern einen Produkt-Launch. IT-Teams gewinnen neue Freiräume. 🙌 Viele IT-Profis stehen heute vor einer zentralen Herausforderung: Mehr Geräte, mehr Daten, mehr Verantwortung. Aber nicht mehr Zeit. Mit dem baramundi Proactive Hub erhalten IT-Verantwortliche genau die Erkenntnisse, die wirklich relevant sind: 🔍 Kritische Risiken im Blick behalten 📊 Daten in konkrete Handlungsempfehlungen verwandeln 🤖 Von KI-gestützter Guidance profitieren ⚡ Probleme erkennen, bevor Anwender sie bemerken Weniger Suchen. Weniger Reagieren. Mehr Kontrolle. https://lnkd.in/dQGM77yw

🎉 Der baramundi Proactive Hub ist da. Für weniger Routine und mehr Zukunftsprojekte. Statt Tickets zu priorisieren, Störungen zu beheben und Risiken mühsam zu identifizieren, solltest du deine Zeit für die Projekte nutzen können, die dein Unternehmen wirklich voranbringen. Genau dabei unterstützt dich der baramundi Proactive Hub. Mit proaktiven Insights und intelligenten Handlungsempfehlungen hilft er dir, Risiken frühzeitig zu erkennen, fundierte Entscheidungen zu treffen und Problemen einen Schritt voraus zu sein. Denn erfolgreiche IT-Organisationen definieren sich nicht über die Anzahl geschlossener Tickets, sondern darüber, wie aktiv sie die Zukunft gestalten. Der Proactive Hub unterstützt dich dabei: ✅ Strategische IT-Projekte voranzutreiben ✅ Innovationen schneller umzusetzen ✅ Ressourcen gezielter einzusetzen ✅ Risiken frühzeitig zu erkennen und proaktiv zu handeln 👉 Jetzt kostenfrei testen und selbst überzeugen: https://lnkd.in/dQGM77yw

AI-powered search, AI chatbots, and smarter user experiences, all within your own documentation portal, with access controls built in. Discover the capabilities that make product knowledge easier to find, access, and share securely, without the complexity.

Bez logowania do kolejnego narzędzia. Umowę wysyłasz do podpisu przez Autenti bezpośrednio z poziomu Salesforce.

Podpis może uruchomić kolejny krok: zmianę statusu, rekord kontraktu albo zamówienie do realizacji. Wszystko w Salesforce.

Talk about being AI 💊'd . We spent $20K on a fleet of AI agents and merged over 900 PRs to move Fern Docs from Next.js to Astro with zero regressions. I learned a LOT from this. AI Agents are REALLY good now but need a very strong hand to direct them. End-to-end tests are critical for building a software factory like this, and let us merge large AI generated PRs with a lot more confidence. And trying things out is so cheap, its better to try out multiple well-instrumented approaches and throw them away than try and have theoretical debates. Hot take: reading the code the agent generates is basically not worth it most of the time. You want proof of functionality with tests, videos, etc. For customers, I'm happy to say that now every Fern site is now prebuilt as static pages: - Mobile Lighthouse scores went from an average of 60 to 98 🚀 - Pages are 2–4x smaller, and almost 10x less Javascript parsing - Pages are ALWAYS fast, even right after a publish. They respond in 0.45s down from 2.7s - Local dev: cold start went from 43.6s to 26.4s, and memory usage cut in HALF Read more here: https://lnkd.in/gdds8tqH

La firma del Procurement Manager non è mai solo sua. Dietro un ordine ci sono il budget di un'altra funzione, una specifica tecnica scritta da qualcun altro, una condizione contrattuale validata dal Legal tre settimane prima e una soglia autorizzativa che cambia a seconda dell'importo. Il consenso di tutti questi passaggi esiste: solo che vive in thread di email, allegati e conferme a voce. C'è, ma non è dimostrabile. Ed è questo che rende l'ultima firma più pesante di quanto dovrebbe essere. Nella guida trovi: come strutturare i flussi autorizzativi di richieste d'acquisto, ordini e contratti in base a importo, categoria merceologica e funzioni coinvolte; la verifica automatica di procure, deleghe e limiti di firma prima che la richiesta arrivi al firmatario; la gestione delle priorità e delle criticità quando le firme si accumulano; e come conservare ogni approvazione in forma consultabile anche a distanza di anni. Scarica il PDF e scopri come far valere una firma sola per tutta l'organizzazione.

Klient chce wybrać produkt, wypełnić formularz albo rozpocząć zgłoszenie szkody. I właśnie na takich etapach problemy z dostępnością cyfrową przestają być technicznym detalem. W FABRITY Digital sprawdziliśmy wybrane strony i początki ścieżek w serwisach 10 ubezpieczycieli w Polsce. W każdej z badanych firm potwierdziliśmy problem z nazwą, rolą lub stanem kontrolki. W 7 pojawiły się problemy ze strukturą lub powiązaniami etykiet, a w 5 z kontrastem tekstu. To nie jest pełny audyt zgodności tych serwisów. To przegląd wybranych elementów, który pokazuje jednak, jak konkretne bariery mogą wpływać na wykonanie podstawowego zadania przez użytkownika. W raporcie zebraliśmy wspólne problemy i kierunki ich poprawy, bez rankingu i wskazywania firm. Skomentuj „RAPORT”, a podeślę Ci PDF. Więcej o naszym podejściu do WCAG przeczytasz na stronie https://lnkd.in/dgVCiRU5 #dostepnosccyfrowa #wcag #ubezpieczenia #ux #fabritydigital

Run a quick check to see if AI can read your docs, and learn how to read the result. Live on Nov 5.

Our next stop: NTIF 2026 From 17-19 November, the Crowdin team will be in Lund, Sweden, for the Nordic Translation & Interpretation Forum (NTIF AB). This year, NTIF photo booth is sponsored by Crowdin – so make sure to stop by and take a photo with your fellow attendees 📸 And on 19 November, Sofiia Hapon will moderate a panel where localization buyers share what’s really on their minds. See you in Lund! 🇸🇪 #NTIF2026

Customers now ask AI about your product instead of opening your docs. Do you know what it finds? Join us Nov 5.

McKinsey & Company published a very useful AI study. The key finding is in a single chart. ⠀ They surveyed 701 executives and sorted companies by how they use AI. ⠀ - Enablers: Give employees AI tools (57%) - Automators: Use AI to automate existing workflows (30%) - Reinventors: Redesign how the work gets done (13%) ⠀ Then they ranked which parts of the operating model each group is strongest at. For reinventors, processes rank second, right after technology. For the other groups, processes don’t make the top six. ⠀ And the value follows. In McKinsey earlier research using the same three groups, 13% of enablers reported meaningful enterprise value from AI. Automators, 24%. Reinventors, 48%. ⠀ So the groups that automate the workflows they already have report 24% against 13% for enablers. The groups that redesign them report 48%. That is a correlation, not proof of cause. ⠀ Automators are where most companies I talk to are right now. And it makes sense. Their processes were designed for a world before AI. Automating a legacy process gives you a faster legacy process, not a different one. ⠀ What reinventors do differently, according to McKinsey, is redesign end-to-end domains instead of chasing disconnected use cases. And they standardize, so it’s clear where each decision sits and where human judgment or oversight is required. That second point gets more important, not less, as agents take on more of the work. ⠀ I like this example of an AI customer service agent. Yes, the choice of model matters, but the bigger differentiator is how well the agent is integrated into the workflow and connected to company data. Pick whichever model works best. The process around it decides whether it creates value. ⠀ One caveat we’re saying out loud. The reinventor group is 53 companies, so I would not treat the exact numbers as gospel. But the direction matches our own research. 78% of the 1,000 process leaders we surveyed told us they need to fundamentally redesign their processes rather than layer AI on top. ⠀ Someone has to run the redesigned process across people, systems and agents, with approvals and human handover built in. That software is what we build at @Camunda. ⠀ CIOs, which of your AI projects are automating a process nobody has rethought? ⠀ You can access the McKinsey report here: https://lnkd.in/d7mWgmVX

AI coding assistants are transforming developer productivity. But unmanaged AI environments can introduce new security risks. 🛡️ How do you maintain control when coding agents can download dependencies, install packages and execute code? Discover how isolated development environments, centralized management and repeatable, automated provisioning can help teams adopt agentic AI more securely. Enable innovation without sacrificing control. Download the whitepaper 👇

Apply critical kernel security patches without rebooting. Livepatch is part of Ubuntu Pro, keeping production stable between scheduled maintenance windows. 👇 Ubuntu Pro is the enterprise Linux built for organizations that cannot afford unplanned downtime, with security across the full open source stack. Visit Canonical website to learn more: https://lnkd.in/eZdsaMBx

Your next ERP update is already on the vendor’s calendar. Will order-to-cash, procure-to-pay and month-end close still work the morning after? Our free guide + worksheet helps you prove it: ➔ Where processes break between modules and systems ➔ A 15-minute worksheet to price your regression effort ➔ A 6-step framework to test by business risk Download it below 👇

Spec Driven Development and Agentic Migrations and Modernizations have been front-and-center topics for Catio over the past few weeks. We’ve heard them presented to us as the key outcomes and initiatives major enterprises are pursuing. We’ve presented them as the outcomes we’ve built Catio to fulfill, over the past few years. And we keep getting asked, understandably: how do you differentiate against Claude in delivering these? Can’t we simply stand up a harness and pursue them on our own? The truth is that Claude is an extremely powerful foundation model (as are several others), and the opportunities in harnesses, tool use, and reusable skills are driving exceptional results for many teams. What’s much, much further from the truth is that Spec Driven Development or an Agentic Migration and Modernization can be achieved by simply standing up a Claude harness. And the metrics really matter. Each of these 𝗰𝗮𝗻 𝗯𝗲 a major outcome, whether measured in dollars informed (8-9 figures for a multi-billion dollar enterprise) or in value created (even larger, once you count new feature-enabled revenue and market competitiveness). Each one comes down to calls: many small ones every day with Spec Driven Development, occasional large ones with Agentic Modernization and Migration. Whether those calls are well-informed or ill-informed, fast or slowed by endless re-work, is what separates 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗹𝗮𝗻𝗱𝗶𝗻𝗴 these outcomes from simply 𝗵𝗼𝗽𝗶𝗻𝗴 𝘁𝗼 𝗱𝗼 𝘀𝗼, 𝗯𝘂𝘁 𝗳𝗮𝗹𝗹𝗶𝗻𝗴 𝗺𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝗹𝘆 𝘀𝗵𝗼𝗿𝘁. Catio’s platform spawns an entire organization of agentic architecture teams for every call: reasoning over massive tech estates and business and operating context of multi-billion dollar companies through our Architecture Knowledge Base, using AI purpose-built for the highest-expertise architecture calls, on a system built to carry each call to its outcome. Our consulting and SI partners join to carry out the management and implementation through cut-over. And the major enterprises we’re honored to call our customers get to the well-informed, fast 8-9+ figure outcomes they envisioned in the first place. Our platform is absolutely powered by Anthropic's Claude, the landscape of frontier models, and their lower-cost alternatives. But it’s also absolutely beyond “can’t I just do this with Claude?” The details really matter when you’re looking to land these types of calls. The details, written out, in the first comment 👇

Gain precision control over your entire agreement process with real-time visibility and automated guardrails.

Double agreement capacity. Remove process friction and scale growth.

Plus besoin de multiplier les agents cloisonnés, un par tâche. Fin est le seul agent unifié capable de gérer en toute simplicité l'ensemble de l'expérience client.