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Building EliseAI

The Old Support Model Is Dead: Why We’re Building Product Solutions Instead

Francesca Loftus

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January 5, 2026

If you want to go deeper on how we are redefining Product Solutions, join us on January 15 for our AI Mixer, Rewriting Product Solutions + DJ Set, at our NYC HQ.

AI is transforming every corner of software, and customer operations must catch up quickly.

For a long time, “support” meant reacting. Issues came in through tickets or inboxes, were triaged against a set of known problems, and resolved within the limits of what the product already allowed. That model made sense when software was mostly static and the range of failure was predictable.

In the age of AI, that’s no longer the case. 

AI does not just change the volume of work for support teams. It changes the shape of it. And we need to re-think what the role of support is. As software becomes capable of learning, adapting, and operating alongside human teams, the idea of a traditional support queue becomes less relevant. The real challenge comes before issues even arise - designing how the system behaves, how it learns, and how it earns trust in complex environments. 

We see this shift clearly with our customers in housing and healthcare. As EliseAI takes on more of the administrative work, onsite teams spend less time reacting and more time focused on residents and patients. Our software is fundamentally changing how these teams operate, so it only makes sense that our customers' expectations change, too.

That is why simply modernizing old support models misses the point. What is now possible is far more powerful. AI does not fit into outdated support or CSM categories. It requires a new kind of ownership, one that combines customer empathy, technical depth, and product leadership.

That is why we’ve built Product Solutions.

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From Scripts to Ownership

In an AI-first world, people spend less time handling individual cases and more time shaping how the system operates. When supporting customers, the real leverage lies in defining how products behave and where automation will have the most impact.

So that’s how we designed Product Solutions to function.

Our team is not defined by tickets or scripts. They operate as strategists, analysts, engineers, and product owners, and spend a lot of time with both customers and product/engineering teams. Their proximity to the real application of EliseAI allows us to move faster, prioritize more accurately, and build what customers really need. 

Because there aren’t rigid swim lanes, people are expected to act on what they see. If something isn’t working, the expectation is not to escalate it, but to fix it. That mindset attracts people who are comfortable with ambiguity and accountability, including many former (or future!) founders who are used to seeing a problem through from end to end.

This is the shift, from handling one-off issues to owning domains.

The Bridge Between Reality and AI

You cannot build transformative AI products without real human partnership.

And you cannot deploy AI responsibly, especially in essential industries like housing and healthcare, without trust.

Property managers, maintenance teams, healthcare operators, and residents are understandably skeptical until AI proves itself. Our Product Solutions team is the human interface that makes adoption possible. They lead the conversations where real problems surface. They translate messy, real-world workflows into structured guidance that shapes the product roadmap. And they translate new AI capabilities back into customer value.

This role sits at the intersection of customer reality, product vision, and engineering execution.

Working closely with customers, Product Solutions begins by listening. Recently, during discovery sessions with a military housing operator, one of our teams identified a set of non-negotiable requirements, including military-specific standards, complex approval flows, and strict SLA constraints that shape daily operations.

The team translated that understanding into a dedicated workflow design, partnering directly with engineering to bring it to life. The result was a solution that met the rigor of military housing operations while remaining aligned with EliseAI’s core platform and AI capabilities.

Almost nothing about Product Solutions is reactive. It is consultative, technical, and deeply product driven.

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What Replaces Support Is Bigger Work, Not Lighter Work.

Automating old support tasks doesn’t mean doing less. It means that your work carries more weight.

Our team owns feature rollouts, adoption strategies, and enablement. They influence hiring decisions, shape internal tooling, and guide long-term product direction for their domains. Each person effectively acts as the product owner for a slice of the product, accountable for how it performs in the real world.

This model matters because every role at EliseAI is close to the customer, including engineering. Product Solutions lets us scale that reality, ensuring the engineering team has a constant view of how our AI behaves in real operational environments.

The Solutions team builds continuously. Tooling that automates troubleshooting. Systems that proactively flag customer issues. Insights that inform internal dashboards and monitoring. Playbooks that define how AI should be introduced and operated at scale.

And when our AI agents succeed, operators breathe easier and on-site housing and healthcare teams spend less time reacting and more time building better experiences for residents and patients.

Join Our Product Solutions Team

If you are a builder, a strategist, or a former founder who is tired of the standard tech world, we are looking for you.

We are not building another efficiency tool. We are bringing AI into essential industries where it has to work, not just demo well.

I have been here three years, and we have only gotten faster. Even after raising a Series E, our flat org structure still feels like an early stage company. High ownership, high trust, and high impact. This is an accelerator for your career, where you will manage stakeholders from frontline operators to the CTO and touch product discovery, solution design, rollout, adoption, and success measurement, often all in the same week.

If you want to define a new career path and shape the future of how people live, we are hiring.

Go deeper on how we are redefining Product Solutions, join us on January 15 for our AI Mixer, Rewriting Product Solutions + DJ Set, at our NYC HQ.

Explore our open roles in Product Solutions and help us bring AI into the real world.

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Get in Touch with Us Today to Learn More
Get in Touch with Us Today to Learn More