Software as a Service (SaaS)

What is Software as a Service (SaaS)?

Software as a Service (SaaS) is software that customers use online instead of installing and running themselves. The provider hosts the application, stores the data, handles security and releases updates, while customers pay a recurring fee, usually per user, by usage or by plan.

It works in two layers. Underneath, a shared platform runs the application for many customers at once, often using multi-tenant architecture to keep each customer's data separate. On top, each customer gets an account, settings and access controls, and reaches the product through a browser, a mobile app or an API.

Most business software now arrives this way, from CRM and accounting tools to project management, analytics and AI assistants. For a company buying software, SaaS means faster setup and no servers to manage. For a company building software, it means recurring revenue and the ability to ship improvements to every customer at once, along with the duty to keep the service running.

What are the benefits and drawbacks of SaaS?

For buyers, the benefits are speed and simplicity: no installation, predictable costs, automatic updates and access from anywhere. Drawbacks include less control over the roadmap, dependence on the vendor's uptime and security, subscription costs that add up across many tools, and data spread across many systems.

For builders, recurring revenue and a single codebase serving every customer are the big advantages. The trade-offs are ongoing hosting and support costs, the need to keep customers satisfied every month to limit churn, and higher expectations around security, reliability and compliance than a one-off software sale would carry.

Many companies end up in both roles: they buy SaaS for standard functions and build their own product or internal tools where off-the-shelf options fall short.

What does it take to build a SaaS product?

Beyond the product itself, every SaaS needs a shared foundation that customers rarely see but always depend on.

• Accounts and access: sign-up, sign-in, roles and team management.
• Tenant separation: making sure each customer only ever sees its own data.
• Billing: plans, trials, invoices and payment handling, often through a billing provider such as Stripe.
• Reliable delivery: automated testing and deployment, monitoring and backups.
• Product analytics: knowing which features customers use and where they get stuck.

On top of this sits the part customers actually pay for. A common mistake is spending months on the platform before validating that core product with real users. Validating the product first keeps the platform work in proportion to real demand.

How is AI changing SaaS products?

AI is moving from an add-on feature to part of how many SaaS products work. Common patterns include assistants that answer questions about the customer's own data, features that draft content or summarize records, and agents that carry out multi-step tasks inside the product on the user's behalf.

This raises new design questions. Usage-based AI costs can change pricing models, outputs need checks for accuracy, and customers want to know how their data is used to generate answers. Products built on a large language model (LLM) also need ways to test quality as prompts and models change.

For buyers, the practical question is whether the AI feature does a real task better than before, not whether it carries an AI label.

How do SaaS companies measure success?

SaaS businesses run on recurring revenue, so their key measures focus on keeping and growing customers over time rather than on one-off sales.

• Recurring revenue: monthly or annual revenue from active subscriptions.
• Retention and churn: how many customers, and how much revenue, stay each period.
• Acquisition cost: what it costs to win a new customer.
• Customer lifetime value (CLV): what a customer is worth over the whole relationship.
• Activation: how many new users reach the first moment of real value.

Read together, these show whether growth is healthy or simply bought, and where the product or the funnel needs work first. Tracking them from the first paying customer makes later trends far easier to read.

How does Vizio AI build SaaS products?

SaaS platform architecture is one of the core capabilities of our Venture Studio. We help founders and product teams go from idea validation and MVP development to a product that can serve many customers: accounts and roles, tenant separation, billing, and a delivery setup that lets the team ship safely. Where it fits the product, we add AI-enabled features and the AI integration behind them.

After launch, we support growth and iteration, and we take on product modernization for SaaS products that have outgrown their first version. The starting point is a review of the product idea or current platform to agree what needs building first.