From SaaS to Service as Software: The Model That Replaces the Model

Hey there, and welcome to Uphoff on Media, the audio edition. I'm Tony Uphoff, and each week I write about the collision of agentic AI, B2B media, marketing, and technology from the perspective of someone who's actually run these businesses. This is the podcast version of my Substack publication, where I take each post and bring it to you in audio form so you can listen wherever you are, whenever it works for you. If you want to read along, go deeper, or subscribe to the written version, you'll find everything at upoffonmedia.substack.com. Okay, let's get to work. This episode is titled From SaaS to Service as Software: The Model That Replaces the Model. Agentic AI isn't upgrading the software model, it's replacing it. The most important thing Sequoia Capital published in the last year wasn't a market map or a fund announcement. It was 2 sentences. Quote, the cloud transition was software as a service. The AI transition is service as software. 10 words, the entire business model of enterprise software, 2 decades of per-seat licensing, recurring revenue multiples, and stack complexity reframed in a single breath. I've been running B2B technology and media businesses for 35 years. I've lived through the transition from print to digital, from on-premise software to SaaS, from search to social to intent data. Each shift looked at the time like a feature upgrade. Each one turned out to be a structural reorganization. This one is structural, and it's moving faster than any transition I've seen. The $1-$6 ratio that explains everything. Here's the number that reframes Sequoia's thesis from interesting to urgent. For every $1 a company spends on software, it spends $6 on services. That ratio, buried in Sequoia's Services: The New Software Analysis, is the entire argument. The SaaS era attacked the software market, a $350 billion opportunity, significant, transformative, and now largely captured by the incumbents. Salesforce, Microsoft, Oracle, and their horizontal peers. Agentic AI is attacking the services market measured in trillions, and it's doing it by turning software into a workforce, one that does the work, not just enables it. This is not an incremental shift. It is a category expansion that dwarfs the cloud transition by an order of magnitude. What service as software actually means. Let's be precise because this concept gets muddy fast. Software as a service was about delivery. Software moved from a box you bought to a cloud subscription you rented. The product was still a tool. You still needed people to use it. Service as software is about execution. The software doesn't give your team a better tool. It becomes the team. It does the job. You pay for the outcome, not the access. Sequoia's example is Sierra, an AI-based customer support platform. Companies don't buy Sierra seats. They pay per resolved customer issue. No resolution, no charge. The job to be done gets done, or it doesn't, and nobody pays. There is no seat. There is no license. There is a result. That model, pay for work delivered, not software deployed, is the commercial architecture of the next era of enterprise technology. And it's already breaking the current one. The SaaS-pocalypse is not a prediction, it already happened. In early 2026, the iShares Expanded Tech Software ETF fell more than 21% year to date. An estimated $2 trillion in market capitalization was erased from B2B software companies in a matter of weeks. Atlassian dropped 36% in a single month. Analysts gave it a name, SaaS-pocalypse. The market was repricing every software company built on per-seat licensing because AI agents don't pay per seat, and neither do the human employees whose jobs they're replacing. Data emerging from enterprise CIOs showed that for every autonomous AI agent deployed, companies were reducing human software seat requirements at roughly a 1-to-5 ratio. The incumbents didn't argue, they adapted. Salesforce and ServiceNow pivoted to outcome-based pricing, charging for tasks completed rather than seats occupied. That pivot was an acknowledgement, not a strategy. It was recognition that the per-seat model had reached its structural limit. BCG puts it plainly: 40% of buyers now cite seat reduction as their primary lever to decrease software spending. That's not a trend, that's a buyer revolt. The CMO who signed up to do marketing. Let me bring this down to ground level because the abstract inevitably becomes personal. The average B2B enterprise now runs more than 300 SaaS applications. According to Chief Martech's 2025 Landscape Report, the martech landscape contains over 15,000 tools. And 32% of organizations report not fully using the capabilities of the stack they've already built, and that's up from 28% the year before. The average CMO did not sign up to be a shadow CTO. They signed up to do marketing, to build brand, to drive pipeline, to win markets. Instead, they're spending a material portion of their time managing vendor relationships, integration failures, data reconciliation, and a technology stack that requires its own internal expertise to operate. This is the hidden tax of horizontal SaaS. The software works technically, but operating it at scale tuned for your specific market and workflow requires vertical expertise that the horizontal platform was never designed to provide. So you hire it, build it, or hire a partner to build it, and you pay for it twice. Once in the license and again in the operating overhead. Service as software is the exit ramp from that trap. When the unit of value is an outcome— leads generated, pipeline influenced, content produced at scale, demand signals identified— the complexity of the underlying technology becomes the vendor's problem, not yours. The CMO's job returns to marketing. The vendor's job becomes delivering, The result they promised. This is not a feature upgrade. It's a reallocation of responsibility. What this means for buyers and buying groups. Here's where it gets structurally interesting and where most analysis is stopping short. The shift to outcome-based procurement doesn't simplify the buying process. It complicates it in new ways with new stakeholders. Today's B2B buying group already involves an average of 10 people spanning IT, operations, finance, and end users. 79% of significant purchases now require CFO approval. Procurement professionals, historically a late-stage validator, are now identified as primary decision makers in 53% of buying cycles involved from the earliest stages. When you shift from buying software to buying an outcome, procurement doesn't get less important, it gets more important because now they're not evaluating features, they're evaluating a performance contract. The questions change. Does it have function— the functionality we need becomes, can you prove the outcome you're promising? What's the per-seat cost becomes, what are the SLAs and what happens when you miss them? Does it integrate with our stack becomes, how do you measure success and how do we audit it? This raises the analytical bar for every vendor in the room, and it raises it specifically for B2B marketing technology vendors because marketing outcomes have historically been the hardest to attribute and the easiest to obscure. Service as software forces accountability. That's good for buyers. It's clarifying for vendors who can deliver. It's existential for vendors who can't. The buying system is now machine plus human. There's a dimension of this shift that almost no one in B2B is taking seriously yet, and it changes the implications of everything outlined above. The buyer isn't becoming a machine; the buying system is becoming machine-human integrated. Gartner projects that AI agents will be involved in the vast majority of B2B purchases within three years, channeling more than. $15 trillion in spending through automated evaluation. Forrester found that 94% of B2B buyers already use AI in the purchase process, and that twice as many buyers now name generative AI as a more meaningful information source than vendor websites or sales teams. But here's the critical nuance. Buyers aren't handing off to agents and waiting for a shortlist. They're working with agents iteratively, prompting, refining, validating, overriding. The agent surfaces structured signals. The human interprets, challenges, and decides. The agent adjusts. The cycle repeats. By the time your service-as-software offering reaches a human conversation, it has already been filtered, scored, and contextualized by a machine that the human trusts enough to be working with in the first place. You are not marketing to a human audience anymore. You are marketing to a system. And that system has 2 components that must be satisfied simultaneously, not sequentially. The implications for how you go to market are significant. The machine component of the buying system doesn't respond to corporate narrative. It evaluates structured, verifiable, consistent proof. A case study stating improved productivity is invisible to agents, Forrester noted in its 2026 State of Business Buying report. Reduced processing time for 14 days to 3 days is specific enough to extract and compare. The human component working alongside an increasingly capable agent arrives at vendor conversations better prepared and less tolerant of information they've already sourced. They don't need you to explain the category. They need you to demonstrate judgment and point of view that the agent couldn't surface on its own. If your pricing is opaque, your outcomes aren't expressed in quantifiable terms, or your proof infrastructure is thin, you may lose the deal before anyone picked up the phone and you'll never know it happened. What this does to partner marketing. Most channel marketing strategies were built for a licensing economy. The reseller partner who moved seats earned margin on the transaction. The systems integrator who deployed the platform earned margin on the implementation. The referral partner who brought the deal earned a percentage of ACV. Every incentive in the traditional partner model pointed to the software transaction. Service as software decouples value from the transaction. If the vendor is now responsible for the outcome, the traditional partner's role collapses. Moving a license to a customer who then fails to get results isn't a win, it's a liability. The partner that wins in a service-as-software economy is a different entire entity entirely, one that configures, manages, and guarantees the outcome on behalf of the buyer. A delivery partner, not a distribution partner, accountable for outcomes, not for moving licenses. The ISV relationship becomes a managed service overlay on top of agentic capability Not a distribution arrangement. For B2B marketing leaders managing partner programs, this is not an edge case. It is the direction of travel. Your partner tiering, your co-sell incentives, your MDF programs, all were designed for a software transaction model. Most will need to be rebuilt for an outcome delivery model. The transition is messier than the thesis. I want to be clear about something because this is an operator's publication and operators live in reality. The SaaSpocalypse was the market pricing the transition's messiness in real time. $2 trillion of repricing in a matter of weeks is the capital market saying, we don't know which SaaS companies survive this shift, so we're going to discount all of them until they prove it. That's not irrational. It's pattern recognition from investors who've seen this movie before. But the actual operating transition is slower and more hybrid than the market event implies. According to a 2025 SaaS Pricing Benchmark study, only 9% of companies have fully implemented outcome-based pricing. 40%— 47% are actively exploring or piloting it. The remaining 44% are still running the old model and will be for some time. BCG expects that most mature vendors will combine models, some subscription baseline, some agent-based pricing, some outcome-based performance fees. Pricing structures will be far more complex before they're simpler. Sales motions will be more consultative before they're more automated. Buyers will need new RFP frameworks, new measurement practices, and new governance structures before they can fully operationalize outcome purchasing at scale. And Gartner has flagged that at least 30% of GenAI projects will be abandoned due to unclear business value. The hype cycle's real. Some of what's being sold as service as software today is simply repackaged SaaS with a new name on it. The structural direction is clear. The pace is not. Knowing which one you're operating— know which one you're operating in. What operators need to do now. For B2B marketing leaders, leaders, buy outcomes, not access. Audit your existing stack against this question: is this vendor making my team faster or making my team unnecessary? Those are different things, and only one of them is the future. Develop RFP frameworks that demand outcome commitments, not feature lists. Build the internal capability to measure vendor performance against those commitments. If you can't measure it, you can't hold anyone accountable for it. And structure your proof assets for the machine plus human buying system, not just for a human audience. Quantifiable, verifiable, structured outcomes aren't just good storytelling. They're the minimum table stakes for being found and evaluated by the system that precedes the human conversation. For B2B technology vendors, the seat count is no longer a growth metric. Outcomes delivered, outcomes measurable, Outcomes attributable. Those of you who knew unit economics, if you cannot articulate what success looks like in quantifiable terms and stand behind it contractually, you're not positioned for this transition. If your go-to-market motion is still feature-benefit selling, you're selling the wrong thing to a buyer whose purchasing system has already moved on. For B2B media and marketing service providers, This is your moment if you can execute. The demand for outcome-based marketing services has never been higher. Content syndication, demand generation, account-based programs all become far more valuable when they're measured against pipeline outcomes and delivered at scale with agentic efficiency. The providers who can price to outcomes and prove them will displace the vendors still selling impressions, leads, and seats. The bigger picture. The SaaS era gave buyers better tools. The service-as-software era gives buyers better results, or it doesn't get paid. That accountability shift is a reorganization of incentives across the entire B2B technology ecosystem. When vendors succeed only when customers succeed, the dynamics of product development, customer success, go-to-market, and partner strategy all change. The consultative relationship that enterprise vendors aspire to becomes a contractual requirement. For the CMO who has spent 5 years managing a 25-platform stack, wondering when they stopped doing marketing and started running a technology operation, that reckoning is coming and it's going to feel like relief. The next generation of B2B marketing leaders won't manage a martech stack. They'll manage a portfolio of outcomes. And they'll have a lot more time to actually do marketing. The transition is underway. The direction is clear. The only question is how fast you adapt and whether you're buying the real thing or the repackaged version of the old model with a new name on it. The views expressed in Uphoff on Media are entirely my own. They do not represent the opinions of any company I've led, Any board I've sat on, or any investor who's had the great pleasure of debating strategy with me over the years. If something I write here sounds brilliant, I'll take full credit. If it turns out to be wrong, I was clearly misquoted by myself. Well, that's it for this episode of Uphoff on Media. If this was useful, you can find the show on Apple Podcasts and Spotify. And if you're so inclined, please subscribe and like The show because it helps more people find it. Back at it next week.