Sofigate

AI and digital workers are changing IT faster than most Operating Models can follow. The key questions leaders need to answer are: What should we own? What should we source? How should our people work with digital workers? And how do we scale from the first success to the next hundred? Explore it in Sofigate´s new whitepaper, Your next sourcing decision will shape your IT future. Read more ⬇️ https://lnkd.in/eq69piqh

A new kind of worker has joined IT. Digital workers can now handle a growing share of operational work, yet many IT operating models are still built around human delivery. Autonomous IT offers a model built for both, helping you move from reacting to problems to predicting and preventing them. And autonomy doesn't mean losing control: you decide what to outsource, and your people set the priorities and make the decisions that need human judgement.

For decades, outsourcing has been the go-to answer for running complex IT at scale. But now digital workers are changing things. The sourcing question is no longer "Who can do this at the best price?" but "What should we own, what should our partners provide, and how should people and digital workers work together?" Our new whitepaper explains this shift to autonomous IT: what it looks like in practice, how to move beyond AI pilots, and the five questions every leadership team should answer before procurement starts.

Recurring requests. Repeat incidents. Hundreds of tickets per month. Most organisations have gotten better at responding to IT problems, but they’re still stuck in reaction mode. Autonomous IT changes that. Digital workers take on routine operational work, from diagnosing issues to resolving them, so your specialists can focus on the work where their expertise matters most.

Getting started with AI is easy these days. The hard part? Making sure your agents create real value rather than staying stuck in pilots. Our new whitepaper explains how to turn scattered experiments into an operating model where AI agents take on the burden of operational work, so your people focus on leading IT. Download your free copy and see where agents can make the biggest difference.

Jag har i flera år hört kunder säga att de inte riktigt litar på sin CMDB-data. Det är inget nytt. Det som däremot börjar bli nytt är hur AI används för att faktiskt förbättra den löpande förvaltningen. Vi har till exempel byggt agenter som hjälper de som ansvarar för CI:er och CMDB-data att förstå vad som behöver ses över, göra ändringar och hålla informationen uppdaterad. För mig är det ett bra exempel på förflyttningen från att testa GenAI till att faktiskt bygga in AI i den dagliga IT-driften. Och det är här det börjar bli riktigt intressant. För nästa fråga är inte bara vilka use cases vi kan automatisera, utan hur vi skalar det här. Vad ska vi äga själva? Vad kan digitala medarbetare ta över? Vad ska partners bidra med? Och hur behöver organisationers operating model förändras? Det är precis den förflyttningen vi tittar närmare på i vårt nya whitepaper, “Your next sourcing decision will shape your IT future”: https://lnkd.in/eB-3zr5P