In the field with SPAR Solutions

In the Field is Parloa’s partner and customer spotlight series. Each month, we’ll dive into how some of the world’s leading organizations are applying AI agents in real-world environments— sharing lessons, use cases, and practical insights from the people leading the change.

Meet SPAR Solutions, a technology consulting firm specializing in cloud solutions, CRM, and workforce management. As certified partners to both Parloa and Verint, SPAR helps enterprises embed AI agents directly into their workforce management systems—enabling them to be forecasted, coached, and measured just like human team members.

In a meeting with SPAR, you quickly notice the balance that defines the firm.

Swami Ganapathy, managing partner and one of the founders, speaks in the language of architecture and compliance—making sure platforms like Parloa’s don’t just look good in a demo but actually integrate into enterprise systems and stand up to regulatory scrutiny. Nicholas Taussig, VP of Growth and AI Strategy, connects that technical depth to the boardroom conversation: where AI actually moves the needle on growth, customer trust, and scale.

Together, they’re the yin and yang of SPAR’s approach to agentic AI: one ensures the technology lands, the other ensures it lands in the right place. 

Why Fortune 100s choose SPAR

That combination has made SPAR a trusted partner for Fortune 100 companies in healthcare, financial services, and insurance—industries where the margin for error is razor-thin.

Swami:  “We have deep expertise in delivering large-scale transformations in complex, highly regulated industries. In these settings, transformation means balancing ambition with precision. Over time, that expertise has earned us the trust to execute in spaces where the stakes are high, the systems are deeply intertwined, and compliance is non-negotiable.”

How the partnership between Parloa and SPAR came to life

SPAR’s partnership with Parloa began with a CCaaS connection. With two decades of enterprise transformation under their belt, SPAR had proven they could deliver at scale in regulated environments. That reputation made them a strong partner to help bring Parloa’s AI agent management platform to market in the U.S.

Nicholas: “Strategically, it was a natural fit. At SPAR, our AI and automation strategy is built on a simple principle: the real value of AI is unlocked when it scales inside the enterprise, not as a pilot or proof of concept, but as a capability that transforms how customers are served and how employees work. Our clients in healthcare, financial services, and insurance need more than just new tools, they need AI solutions that respect regulation, integrate seamlessly with systems like Salesforce, and drive adoption across thousands of employees.”

That’s exactly where Parloa fits, Nicholas emphasized. Parloa’s AI voice agents and real-time translation technology are powerful, but what makes the partnership work is that together, it’s possible to connect those capabilities into the broader enterprise ecosystem. It means a bank can serve customers in multiple languages without disruption, or a healthcare provider can automate high-volume calls while meeting strict compliance. 

In other words, Parloa brings the innovation, and SPAR makes it land in the enterprise with clarity, scale, and confidence.

Where SPAR and Parloa meet on enterprise realities

Swami: “We see a very natural alignment between SPAR and Parloa when it comes to reimagining enterprise customer interactions through AI.

At SPAR, we believe AI creates the most value when it elevates both the customer and the employee experience. It’s not about replacing human interaction, but about making every interaction more efficient, more personal, and more scalable. That’s the same philosophy we see in Parloa’s AI voice agents and their real-time translation technology—tools designed to make interactions faster, smarter, and more human at the same time.”

That shared philosophy plays out in specific ways when serving enterprises under pressure. As Swami explained, the second area of alignment is around enterprise readiness.

Where automation should pause and humans should step in

One of the common fallacies made by enterprises is that automation is often pursued with the wrong objective.

Nicholas: “The pressure to reduce costs can lead to an overemphasis on containment—automating everything possible without asking whether it should be automated. That’s when customers get trapped in rigid menus, or when a handoff to a human agent happens without context, forcing them to repeat themselves. The result is a poor customer experience, frustrated employees, and ROI that never materializes.”

This is where Parloa helps SPAR strike a better balance.

This way, SPAR’s service model allows automation to do the heavy lifting, lets humans handle the moments that matter, and allows customers to experience a journey that feels both efficient and personal.

Building compliance and trust into AI agents

Of course, none of this works without trust.

Swami: “When we implement solutions like Parloa in regulated environments, security and compliance aren’t things we add at the end—they’re built into the design from the start.

Our first step is always data mapping: understanding what data the AI agent will handle, where it flows, and how long it’s retained. From there, we apply principles like encryption in transit and at rest, strict API governance, and role-based access so only the right people can see the right information. We also build auditability into the solution—every interaction can be logged and reviewed, which is critical for industries under GDPR, HIPAA, or PCI requirements.”

Parloa itself is designed for enterprise security, with certifications like ISO, SOC 2, PCI, and HIPAA already in place. That foundation allows those at SPAR to focus on what matters most: configuring those capabilities for the realities of each client. Whether it’s GDPR data flows, HIPAA protections, or financial audit trails, SPAR aligns Parloa with the governance processes their clients already use.

Advice for teams just getting started with their AI journey

Most AI strategies fail not because of the technology, but because of misalignment.

Nicholas: “Leaders rush to deploy tools without first clarifying the outcomes, aligning their processes, or preparing their data. The result is fragmented adoption, frustrated teams, and underwhelming ROI.”

According to Nicholas, the companies that succeed take a different approach. 

Ultimately, AI agents succeed when ambition is matched with discipline. It’s the same yin-and-yang balance we saw in our conversation with Swami and Nicholas: innovation paired with enterprise rigor. Together, that’s how SPAR and Parloa are reimagining customer engagement at scale.