One of the most influential voices in tech just echoed something we at Ema Unlimited have been advocating for months.
Recently, Satya Nadella said, “AI agents will transform SaaS as we know it.”
The “notion that business applications exist” could “collapse” in the agentic AI era, Nadella believes.
At Ema, we've not only led this conversation over the past year, but we've also been acting on it since much before: The fact that SaaS as we know it is dead is what prompted our product and value proposition today, as a horizontal Agentic AI platform.
Traditional SaaS tools, with their vertical silos, complexity, and coordination overhead, can no longer meet the demands of modern enterprises. With Agentic AI, enterprises can now deploy intelligent, autonomous, horizontal AI systems that actually drive business outcomes, instead of delivering outputs that may or may not ultimately move the needle for businesses.
As industry leaders catch up to this idea, we’re happy to be at the forefront of not only the discourse, but the actual paradigm shift. Ema’s Universal AI Employees have been doing the work, breaking down data silos, and redefining the relationship between humans and software.
It's a good time to revisit our blog on 𝗪𝗵𝘆 𝗦𝗮𝗮𝗦 𝗶𝘀 𝗱𝗲𝗮𝗱 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗶𝘀 𝗔𝗴𝗲𝗻𝘁𝗶𝗰: https://lnkd.in/gG2KhwhJ
The conversation is growing, and we’re excited to keep leading it. 🚀
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The igniting spark behind Ema Unlimited was one major fact — 𝗵𝗼𝘄 𝗯𝗿𝗼𝗸𝗲𝗻 𝘁𝗵𝗲 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝘀𝘁𝗮𝘁𝗲 𝗼𝗳 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗶𝘀.
And with the rise of AI, many are asking what this means for SaaS, as SaaS companies scramble to integrate GenAI chatbots and co-pilots into their solutions.
But this won’t solve the deeper, fundamental issue: 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗮𝗮𝗦 𝗶𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗯𝗿𝗼𝗸𝗲𝗻. Despite the proliferation of software, humans are still doing most of the work—if not more.
1️⃣ 𝗨𝗻𝘂𝘀𝗲𝗱 𝗦𝗮𝗮𝗦 𝗹𝗶𝗰𝗲𝗻𝘀𝗲𝘀: Research finds that over 𝟰𝟬% 𝗼𝗳 𝗜𝗧 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹𝘀 believe their biggest challenge is finding under-utilized SaaS licences within their companies. The average spend per employee on SaaS tools has ballooned to $𝟯𝟱𝟬𝟬 𝗽𝗲𝗿 𝘆𝗲𝗮𝗿, with businesses under significant pressure to downsize and ensure actual RoI from software investments.
2️⃣ 𝗙𝗿𝗮𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗶𝗹𝗼𝘀: The average knowledge worker is spending about 𝟭𝟮 𝗵𝗼𝘂𝗿𝘀 𝗽𝗲𝗿 𝘄𝗲𝗲𝗸 "𝗰𝗵𝗮𝘀𝗶𝗻𝗴 𝗱𝗮𝘁𝗮" — a direct result of the data silos and narrow, vertical use-cases that SaaS apps become embedded in. Instead of enabling intelligent action on data across apps and systems, people at work are getting bogged down by trying to identify the right sources of information.
3️⃣ 𝗢𝘂𝘁𝗱𝗮𝘁𝗲𝗱 𝗣𝗮𝘆-𝗣𝗲𝗿-𝗦𝗲𝗮𝘁 𝗣𝗿𝗶𝗰𝗶𝗻𝗴: The average enterprise is already 𝗼𝘃𝗲𝗿𝗽𝗮𝘆𝗶𝗻𝗴 𝗳𝗼𝗿 𝗦𝗮𝗮𝗦 tools, which charge for access to software by the number of seats or users who need it, irrespective of the value being realized from it. And simply adding GenAI "add-ons" and features within fragmented SaaS use-cases and apps won't help, because the data silos will still exist, as will the problems SaaS set out to solve — that of improving enterprise productivity.
What we need is a new vision for enterprise software — and we believe this future lies in 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜.
In this future, enterprise software goes from being mere tools that assist (and sometimes complicate) human work — to actually being 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀, 𝗮𝗱𝗮𝗽𝘁𝗶𝘃𝗲, 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝘄𝗶𝗹𝗹 𝗽𝗮𝘆 𝗳𝗼𝗿 𝘁𝗵𝗲 𝘄𝗼𝗿𝗸 𝗮𝗻𝗱 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗲𝘅𝗲𝗰𝘂𝘁𝗲𝗱 — 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗳𝗼𝗿 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲.
In the next-gen enterprise stack, 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 will flourish as an integrated part of the enterprise, working together intelligently like the organization's 𝗵𝗼𝗿𝗶𝘇𝗼𝗻𝘁𝗮𝗹 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺.
To read more about 𝗪𝗵𝘆 𝗦𝗮𝗮𝗦 𝗶𝘀 𝗗𝗲𝗮𝗱 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗶𝘀 𝗔𝗴𝗲𝗻𝘁𝗶𝗰, check out our latest blog in the comments.
And tell us what you think: Is SaaS dead? What's the future of enterprise software?
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