Interesting article (https://lnkd.in/gBvGiKVt) and interesting concept of "Software Delivered Services". Really resonated with us given the work we are doing at bookend.ai. This shift requires a different way of building and selling software, supporting customers and growing the business. Not everyone is onboard yet given some of the questions I get like "But what user interface is your customer using everyday?", "What SaaS tool are you building to run their workflows?", or "So, is this a product or a services business?". We are building a compelling product business that delivers valuable outcomes for our customers. We are excited to work with our forward thinking customers to power this shift. #startuphustle #generativeai #healthcaretech
Pravin Pillai’s Post
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🚀 Why Every Business Needs Custom Software 🚀 In today's fast-paced world, relying on generic SaaS tools can hold your business back. Your unique systems and processes deserve a tailored solution that grows with you. Discover how custom AI-powered software can transform your operations, making them more efficient and integrated. With no-code tools like Bubble and specialized agencies like AGIL f(x), this is now affordable and within reach for businesses of all sizes. Read my latest article to learn more about the benefits of bespoke software solutions. Let's build something unique together! https://lnkd.in/e3R95JZb #BusinessGrowth #CustomSoftware #NoCode #AI #Efficiency #AGILfx
Why Every Business Must Build Its Own Software: A Story of Unique Success
abmodi.medium.com
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Hot take: People saying "AI will kill SaaS because companies will just generate their own software" have no idea what they're talking about. They've clearly never built or maintained real software at scale. I think if you yourself are a tech company, this COULD make sense, but even then you’re trading engineering time + stability for a few dollars saved each month. The delta between generating a todo list app and a functional HRIS is much, much larger than most people realize. Instead, as code becomes easier to produce, software will become increasingly sophisticated and capable, and customers will demand higher standards from the products they chose to use.
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Interesting perspective. It strikes me, and anyone who knows me will have heard this before, that software is not an END. It's a means to an end. The end is the business benefit derived. Whilst SaaS is convenient, there is a point where the previous perpetual licencing model is better in the long term term. However, there's also no value in organisations believing that them becoming software developers is their core business, nor can they deliver best practices. The cost of having developers, maintaining software, being on top of business changes, and being driven by best practice, even if it is driven by AI, is a factor that must be considered. Is this back to the future thinking? https://lnkd.in/g4EXJzSY
The End Of The SaaS Era: Rethinking Software’s Role In Business
social-www.forbes.com
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💡 The Software Industry is Evolving: Welcome to the Era of Software-Delivered Services (SDS)! As an AI and tech strategist, I'm fascinated by this fundamental shift in how software companies are delivering value. Here's why every business leader should pay attention: 🎯 The Big Shift: • Moving from selling tools to selling outcomes • AI-powered companies now deliver actual work, not just workflows • Quality and accountability are becoming paramount 💼 What Makes SDS Different: 1. Accountability: Unlike traditional SaaS, SDS companies are responsible for the quality of work delivered 2. New Pricing Models: Moving away from per-seat pricing to usage-based billing 3. Cost Advantage: Offering professional services at ~10% of traditional costs through AI automation 🚀 Business Implications: • Traditional professional services firms may need to adapt or risk disruption • Quality assurance becomes mission-critical rather than an afterthought • Companies can access high-quality services at dramatically lower costs 👉 Real Examples in Action: • Customer Service: Companies like Sierra charging per resolved ticket • Immigration Services: Lighthouse handling visas through AI • Training: Exec.com providing AI-powered sales training This isn't just another tech buzzword - it's a fundamental reimagining of how businesses can deliver services at scale using AI. Read the full article here: https://lnkd.in/geERp-3R #Innovation #Technology #AI #BusinessStrategy #FutureOfWork #SoftwareServices #DigitalTransformation What are your thoughts on this shift? Have you experienced working with any SDS companies? Share your experiences below! 👇
The Rise of Software Delivered Services
worldgov.org
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💯 by Ardent Venture Partners Phil Bronner "Right now, it’s estimated that 70–80% of enterprise software is purchased off-the-shelf, with only 20%-30% being custom-built. But that’s about to change. Tomorrow’s reality looks quite different. We predict it could look something more like 60% custom, 40% off-the-shelf as AI flips the script on cost and feasibility." Colleagues CONSTANTLY ask me, "when are you going to do something more scalable than services?" This is why. We're building Prolego as a services company that scales with AI, not lines of code or staff. https://lnkd.in/esD3Bx_t
Build vs. Buy: The coming revolution in enterprise software
medium.com
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The Future of SaaS in an AI-First World If you’re building software like it’s been done these last 10–15 years, it’s time to rethink. The SaaS giants of the last decade? They’ll fast become the new incumbents. The playbooks that built those businesses are aging fast. We’re entering the AI-first era: language oriented, task centric, and agentic. Users will expect software to meet them where they are—not just through sleek interfaces, but via integration, automation, and proactive intelligence. API access is becoming essential, allowing AI agents and environments to leverage your software on users' behalf. And there are going to be huge opportunities in "headless": headless CRMs, headless task management, headless financial planning — headless *everything*. Software designed for infinite adaptability and seamless integration, unbound from traditional interfaces. This isn’t a tweak to the old model; it’s a wholesale shift. SaaS companies must evolve—or risk being left behind.
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#SaaS is dead. 💀 Software is a business TOOL, not a business model. Software is becoming more commoditized ( hello, #AI :) ). As it becomes easier for enterprises to roll their own software or build replacements for all the SaaS; software becomes less valuable, and ....the VALUE of your code depreciates. Curious what new novel business models will come out of this now that you can't acquire a customer on your SaaS platform once and expect them to pay you forever— Plum Data Labs dies thigs differently. We charge for VALUE. #venturecapital #innovation #data
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Bytsolv started as a service company, like most in our circle. The factors that helped our business were the founders’ portfolio, previous customers, the quality of the projects, our website, and LinkedIn. Now, we have transformed into a products company, focusing on enterprise tools and products. But the transformation is not easy. We are taking those hard steps now. We have customers who gave us business and helped us stay up. Now, in a day, we can’t stop all at once. It should be a transformative process, considering the commitments and relationships we built around our business. We came to an understanding that most of the services we provided were essentially products, and we not only engineered them but also worked on the ideas, the architecture, the SaaS plans, the maintenance, and equipping the team for maintaining and growing these apps. We are involved in these businesses as their product team. We enjoy doing it. So our question was: How do we keep our focus on our products while keeping the services going? We came up with our answer: we don’t kill the services. We keep them, but we will only build products, and as a whole, we will remain a product team. And that’s how we came up with the idea of Product Team as a Service (PTaaS). I initially thought this was a made-up name 😅, but it actually exists. So, PTaaS is simple: You need to build a tech/SaaS/non-SaaS product. We will build a team and equip them to work on the architecture, the actual product, production, maintenance, and further growth. • one-year commitment • [plan 1] deliverables: product + ongoing updates • [plan 2] deliverables: team + product (we hire for you on your payroll). • [custom plan with 2 years commitment] The environment that we currently have helped us come to this decision, as we have always hired engineers with quality and awesome projects in their portfolios or open-source contributions. Alhamdulillah, we have a team of quality engineers. In short, we are: our products + PTaaS + RaaS. • Products: Enterprise apps • PTaaS: Product Team as a Service • RaaS: Research as a Service (output will be proof-of-concepts) ref. https://lnkd.in/gya9_jji Have a product for us? Leave a message.
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This is a SUPER actionable newsletter this week Andy O'Neil Learned all about a rad new told called Browse AI The major Takeaway for me is: Keeping an eye out on the inefficient systems of my business, that need revitalizing. If you are wondering if there is a better way to do something, I'd get in touch with Andy. #Nocode #Automations #DataManagement #MakeYourWorkFlow
Elevate Your Business with Off-the-Shelf Software Solutions
imandyoneil.com
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Our EY Strategy and Transactions Technology Sector Leader, Barak Ravid, shares how GenAI is transforming enterprise software, driving value beyond tools to autonomous solutions. SaaS must evolve pricing models to thrive. Learn more below.
Agentic AI: how SaaS companies can embrace the future
ey.com
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Entrepreneur * Data-driven Products * Cloud * AI
2moNice article. Thanks for sharing. My comment is "AI" is not "Software", so the term has to be different from "Software Delivered Services". IMO, Software is deterministic, where as AI is highly contextual, probabilistic and more data oriented. I do agree the business model will have to be different from SaaS pricing.