The one-size-fits-all SaaS model is becoming obsolete in the enterprise. The future lies in creating "hyper-personalized systems of agility" that are custom-configured for each client. This involves unifying a company's fragmented data and building bespoke intelligence and workflows on top of their legacy systems.

Before engaging external partners, decide your tech strategy. 'Build' in-house for a core competitive advantage. 'Buy' off-the-shelf enterprise solutions for broad utility. 'Borrow' expertise from agencies for specialized projects where you want to upskill your team.

A CRM's stickiness isn't just its UI; it's the complex, pre-engineered data architecture (table relationships, integrations, change tracking). Replicating this in a simple database is a massive, costly undertaking, providing a strong defense against commoditization.

Companies will adopt a hybrid "build vs. buy" approach. They will use AI agents to build bespoke, simple software "screwdrivers" for specific workflows on the fly, eliminating many niche SaaS tools. However, they will continue to "rent" large, foundational platforms like ERPs and CRMs, which serve as heavy-duty "trucks."

Instead of building a rigid, one-size-fits-all solution, Propel built its product lifecycle management tool on Salesforce. This provides inherent flexibility in data models, processes, and UI, allowing it to adapt to the unique needs of med-tech, high-tech, and consumer goods clients without creating a bloated product.

The biggest drawback of building a custom CRM or similar internal tool is the opportunity cost. It pulls top engineering talent away from improving the core, revenue-generating product and tasks them with rebuilding infrastructure that already exists as a commercial off-the-shelf solution.

Nimble small and medium-sized businesses will increasingly use AI to build custom internal tools, especially for CRM. They will opt to create the 20% of features they actually need, rather than pay for complex, expensive enterprise software where they ignore 80% of the functionality.

With AI, building custom internal tools for shallow, high-customization needs (like HR or payroll) is now cheaper and faster than buying and integrating third-party SaaS. This challenges the traditional 'buy vs. build' calculus for standard business functions.

In the future, it will be easier for businesses to build their own custom software (e.g., Salesforce) through prompting than to buy and configure an off-the-shelf solution. This shift towards "liquid software" will fundamentally challenge the one-size-fits-all SaaS model, especially for companies that currently rely on implementation partners.