{"id":85091,"date":"2026-03-23T17:03:39","date_gmt":"2026-03-23T17:03:39","guid":{"rendered":"https:\/\/www.bloomreach.com\/?post_type=library&p=85091"},"modified":"2026-03-23T17:03:40","modified_gmt":"2026-03-23T17:03:40","slug":"the-saas-reckoning-is-real-heres-how-were-leaning-into-it-with-loomi-connect","status":"publish","type":"library","link":"https:\/\/www.bloomreach.com\/en\/blog\/the-saas-reckoning-is-real-heres-how-were-leaning-into-it-with-loomi-connect","title":{"rendered":"The SaaS Reckoning Is Real \u2014 Here\u2019s How We\u2019re Leaning Into It With Loomi Connect"},"content":{"rendered":"\n

There\u2019s a big AI elephant in the room \u2014 a critical question that I think every software company leader needs to answer honestly: Are we the product that agents replace, or the infrastructure that agents depend on?<\/em><\/p>\n\n\n\n

That question sits at the heart of everything Bloomreach is building right now. And the answer we\u2019ve arrived at is what led us to Loomi Connect<\/a>.<\/p>\n\n\n\n

But to understand why this matters, it\u2019s important to first understand the broader AI disruptions that are happening right now and what they mean for SaaS businesses. <\/p>\n\n\n\n

Disruption 1: AI Agents Replace SaaS UI <\/h2>\n\n\n\n

At its core, many SaaS companies exist because most people don\u2019t know how to write SQL queries. <\/p>\n\n\n\n

That statement is a little reductive, but it\u2019s largely true \u2014 many products essentially present a graphical interface that translates human intent into a database query. The UI is the product, and the business logic is a static, predefined translation layer. <\/p>\n\n\n\n

And here\u2019s the problem for SaaS companies: If there\u2019s one thing AI agents are good at, it\u2019s writing SQL queries (along with other snippets of code). <\/p>\n\n\n\n

So, when you can simply tell an agent what you want \u2014 \u201cWho handles marketing at this company?\u201d or \u201cShow me all orders over $500 from the last 30 days\u201d \u2014 and it finds the answer for you on the fly, the static UI sitting on top of a database starts to look like an expensive, unnecessary middleman. <\/p>\n\n\n\n

This is a very real concern for a lot of SaaS companies on the market today, and it\u2019s the disruption that gets talked about more. However, there\u2019s another disruption worth digging into. <\/p>\n\n\n\n

Disruption 2: Your Customer\u2019s IT Team Becomes Your Competitor <\/h2>\n\n\n\n

The second level of AI disruption is subtler and, in some ways, a bigger threat. <\/p>\n\n\n\n

SaaS companies usually operate by building a generic platform that appeals to the lowest common denominator across their target audience. And while almost all of them will offer some level of customization, it will never be as perfectly tailored as a bespoke solution created specifically for one company. <\/p>\n\n\n\n

In the past, the time and resource investment for a company\u2019s IT team to build that bespoke solution simply wasn\u2019t worth it, and so they would opt for a slightly less customized SaaS platform instead. <\/p>\n\n\n\n

However, AI has significantly lowered the friction of building software, and suddenly, the math is changing. With AI-assisted development, a capable internal team can now build a bespoke solution that caters to their company\u2019s needs and use cases \u2014 faster and cheaper than ever. The companies that don\u2019t reckon with this will get caught flat-footed within the next couple of years. <\/p>\n\n\n\n

How We Approach Disruption <\/h2>\n\n\n\n

In light of these AI disruptions, what you shouldn\u2019t <\/em>do is pretend your moat is deeper than it is, build higher walls around your existing product, and hope the disruption doesn\u2019t reach you. <\/p>\n\n\n\n

The right approach is to ask: What part of what we\u2019ve built can\u2019t be commoditized? And are we doubling down on it?<\/em> <\/p>\n\n\n\n

That\u2019s the approach we\u2019ve always taken \u2014 we haven\u2019t operated like a SaaS company in a long time. That means our defensibility now against AI disruption isn\u2019t in the UI (though our UI has always been strong). Instead, our software infrastructure is (and has been) our differentiator, with an underlying stack comprising over a decade of first-party data and commerce-specific data schemas, a real-time decisioning engine, AI models trained on billions of interactions, and an orchestration platform that reliably executes millions of engagements a day. <\/p>\n\n\n\n

Critically, we don\u2019t think of our platform as a destination \u2014 a product people simply log in to and click through. That would put us in the same realm as the SaaS UI that agents route around. <\/p>\n\n\n\n

Because we\u2019ve always focused on our software infrastructure, it\u2019s easier for us to become the execution layer that AI agents depend on. Instead of being a destination, we become the road. This is where Loomi Connect comes in. <\/p>\n\n\n\n

Where Loomi Connect Fits<\/h2>\n\n\n\n

Loomi Connect is our MCP (Model Context Protocol) layer. It\u2019s a set of interfaces through which external agents, AI systems, and partner applications can tap into Loomi AI<\/a> and its first-party context, commerce insights, marketing execution, and analytics capabilities. <\/p>\n\n\n\n

Loomi Connect can be broken down into three key pillars: <\/p>\n\n\n\n