The traditional model of building software is about to be upended.
What does this mean for existing SaaS companies? Most SaaS apps are just CRUD databases with business logic on top. But AI agents can replace human-coded logic, rendering this model obsolete. The implications are huge.
2/5 AI agents can access multiple database backends without bias, leveling the playing field for new entrants. Existing SaaS moats will disappear, making it harder for companies to defend their market share. As AI takes over the logic layer, backend systems will be replaced with AI-native architectures. This will pave the way for a new wave of innovation and disruption in the SaaS industry.
3/5 Microsoft $MSFT is already preparing for this shift. As CEO Satya Nadella noted, "business applications will collapse in the AI era... they are essentially CRUD databases with business logic, but the logic will shift to AI agents." This isn't just about SaaS companies. The rise of AI agents will change the way we work with software. Imagine having a personal assistant that can help you with tasks across multiple applications.
Everyone’s talking about how platforms like $MNDY (monday) are the future of work management, but there’s one big gap holding them back from becoming true enterprise powerhouses.
Let’s dive into what it takes for MNDY to evolve into a system of record (SOR) like $CRM (Salesforce) or $SAP. 🧵👇
Legacy systems like Salesforce, $ORCL (Oracle), and $WDAY (Workday) are entrenched because they serve as SOR — the gold standard for validated, reliable business data.
MNDY? Not quite there yet.
Here’s why platforms like MNDY aren’t SORs today — and why it matters.
SORs ensure accuracy through integrations, validation rules, and audit trails.
They’re where companies store authoritative data like financials, sales pipelines, and employee records.
But $MNDY relies on manual input — project deadlines, costs, or even sales data can be prone to errors. 🤔