AI is turning SaaS into a fight for relevance

The “SaaSpocalypse” may be less an extinction event than a period of natural selection for the software industry, according to Forterro’s Chief of Staff and AI Lead. As AI adoption raises customer expectations, broad and undifferentiated SaaS products will face pressure from simpler AI solutions.

The providers best positioned to survive are those with genuine specialization, deep customer knowledge and defensible advantages. They can use AI to strengthen trusted products rather than compete with them.

Why specialized software has an edge

For industrial mid-market manufacturers, AI development must be grounded in practical applications. These companies operate physical production environments, where the priority is building and delivering the parts and products that support the real economy.

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They are generally not looking to build software themselves or experiment with “vibe coding.” Instead, they want established technology partners to improve existing platforms in a secure, structured way.

That gives specialized providers an important advantage. Deep industry expertise, knowledge of complex workflows and decades of customer data can reveal where AI will create meaningful value. Those assets are also difficult for new AI entrants to replicate.

Software providers should continue to build on established data moats and security frameworks while AI changes how products are developed and delivered. Companies that turn their accumulated software knowledge into autonomous action through AI platforms and agents could improve decision-making, expand margins and increase resilience.

The commercial pressure remains familiar: businesses need to deliver more for less. SaaS companies that apply AI tactically inside customer workflows can help meet that demand without relying on generic features.

Embedding AI with governance

Embedding AI agents directly into existing systems offers a practical way to scale without significantly increasing expenditure. Trained within customer workflows, these agents can automate routine tasks, surface contextual insights and guide users toward the next best action, freeing employees for higher-value work.

That deployment requires clear guardrails, processes and secure systems. Role-specific training is also necessary so employees can use AI effectively while business data remains protected.

AI-enabled workflows should support workforce development, not simply reduce manual work. As systems become more capable, employees need opportunities to build the skills required for higher-value tasks, while customers gain more responsive and useful software.

The next phase will move beyond surface-level AI integration toward analysis, judgment and continuous improvement. Embedding agents inside the software environments customers already rely on can improve capability without introducing unnecessary risk or disrupting core operations.

“AI does not replace expertise or SaaS; it raises the baseline and helps teams develop the skills needed to deliver more value.”

AI, margins and real-time decisions

The industry is also moving past early enthusiasm and confronting the costs of implementation, integration, governance and ongoing operation. That more measured view should distinguish providers delivering embedded value from those adding superficial AI features.

Economic uncertainty makes that distinction sharper. Rapid changes in costs, energy prices, transport and supplier availability often leave manufacturers relying on lagging indicators and spreadsheets that are outdated almost immediately.

AI embedded in SaaS can combine internal and external data to identify likely price changes and better purchasing windows. Because those recommendations appear inside the platforms customers use every day, they can be delivered in context and at the moment they are needed.

That real-time visibility can support stronger margins, better decisions and greater resilience. The central argument is not that businesses must choose between AI and SaaS: the two are converging. Organizations that invest in both the technology and the human capability to use it effectively are positioned to gain the greatest return.

For SaaS providers, the inflection point is clear. Trusted products, secure processes and genuine specialization will matter more as AI raises the baseline across the market.