Built to scale with AI: How SpotHopper operationalized its enterprise with Celigo

About SpotHopper

SpotHopper is a restaurant technology and marketing platform serving independent restaurants nationwide. Serving 20,000+ restaurant clients, SpotHopper operates at a scale where revenue accuracy isn’t just a finance concern. It’s the foundation of customer trust. As a subscription business, revenue and retention are only as strong as the data behind them. If that data cannot be trusted, neither can the outcomes.

As the company scaled, leadership recognized that sustainable growth required more than adding systems. It required a governed operational foundation capable of supporting increasing transaction volume, financial complexity, and rising customer expectations.

Challenge

Recurring revenue is everything for a company like SpotHopper. When billing fails at scale, the consequences aren’t confined to finance, they surface as churn risk, eroded customer trust, and potential regulatory exposure. SpotHopper’s growth exposed exactly this kind of systemic failure in its order-to-cash processes.

High-volume invoice runs between NetSuite and Stripe could not reliably execute at scale. Processing hundreds to more than 1,000 invoices required manual batching. Timeouts triggered retries. Retries introduced duplicate charges. In one incident, more than 1,000 customers were billed incorrectly.

Refunds and disputes were not consistently tracked. Month-end close required days of manual validation. Deposit reconciliation alone consumed three to four days every cycle.

At a deeper level, the issue was not automation failure. It was a lack of data governance. Systems operated without a unified source of truth. Records conflicted across platforms. There was no reliable way to confirm whether an invoice had been successfully exported to Stripe. Without trusted data, automation increased risk instead of reducing it.

Solution

SpotHopper standardized on Celigo as its intelligent automation platform and rebuilt its Stripe-NetSuite architecture from the ground up.

Using Celigo’s Integrator.io, the team automated invoice exports, synchronized payments, and introduced business logic directly into the integration layer. A key control was the introduction of an “exported to Stripe” flag. This prevented duplicate billing during retries and ensured that financial data remained consistent across systems.

With API Management, SpotHopper centralized billing logic and payment signals into governed endpoints. Point-to-point scripts were replaced with an API-led architecture designed for scale and reliability. This shift transformed integration from simple data movement into a governed system of record that the business could rely on.

The operational results were immediate:

• Deposit reconciliation dropped from 3-4 days to approximately 5 minutes per deposit, saving an estimated 40 to 60 finance hours per month
• High-volume invoice runs now execute cleanly, without manual batching or duplicate charges
• Month-end close no longer requires manual cleanup and validation

Revenue operations moved from reactive firefighting to controlled, repeatable automation. Only after this foundation was in place did the real opportunity emerge.

AI built on trusted data

After stabilizing its financial operations, SpotHopper expanded into AI-driven workflows.

Customer Success Managers previously spent 45 to 50 minutes preparing each QBR. This required pulling data from HubSpot, validating billing history, and assembling account context manually. Even snapshot account reviews still required 15 to 20 minutes.

SpotHopper implemented a Slack-triggered workflow powered by Celigo MCP and API Management.

A CSM enters a command in Slack, Celigo aggregates validated data across systems, and AI generates a structured account brief that is reviewed by the CSM before any customer-facing interaction.

Full QBR preparation dropped from 45 to 50 minutes to approximately three minutes per account. Account snapshots now load in seconds instead of 15-20 minutes, so CSMs can respond to customer inquiries faster and with more confidence.

One of the more meaningful outcomes is what the AI is actually reading. Because the AI operates through Celigo’s enterprise automation layer, it draws on the same unified, validated data that powers SpotHopper’s billing and revenue operations, not isolated exports, not stale caches, not whatever happened to synchronize the previous evening. Every AI-generated output is reviewed before it reaches a customer, ensuring that human judgment remains embedded in every high-stakes interaction. Governance is built in, not bolted on.

Results

By addressing its integration architecture first and extending it to support AI second, SpotHopper achieved both operational stability and strategic readiness for growth.

Billing operations now run with a reliability that was previously unachievable. High-volume invoice runs execute without manual batching, timeouts, or duplicate charges. The structural failures that affected more than 1,000 customers have been eliminated entirely, and the finance organization operates with confidence rather than conducting manual audits at every close. Deposit review time reduced from 3-4 days to approximately 5 minutes per deposit.

Customer Success has been fundamentally reimagined. Full QBR preparation has been reduced from 45 to 50 minutes to approximately 3 minutes per account, and account snapshots now load in seconds instead of 15-20 minutes, so CSMs spend less time assembling data and more time on the strategic, relationship-driven work that drives retention and expansion.

The impact wasn’t confined to a single team. Finance eliminated manual close cycles. Operations gained an architecture that could scale without proportional intervention. Technology leadership replaced fragile point-to-point scripts with a governed platform designed to support what comes next.

AI is now a production capability, not a proof of concept. Because AI operates through Celigo’s controlled automation layer, SpotHopper can deploy intelligent workflows with confidence, secure in the knowledge that AI is working from trusted enterprise data, within defined governance boundaries, and without creating new operational risk. The architecture is built for what comes next, and the organization is positioned to extend intelligent automation across additional workflows as the business continues to scale.

Most organizations treat enterprise automation as infrastructure and AI as strategy. SpotHopper learned that the two are inseparable. The integration layer doesn’t simply carry data, it determines whether that data can be trusted by the finance organization, by Customer Success Managers, and by the AI being asked to make decisions on the company’s behalf.

SpotHopper’s experience reflects a broader truth about enterprise AI: the organizations that will capture the most value from it are those that have built the automation foundation that makes AI reliable, governed, and actionable. With Celigo as that foundation, SpotHopper is operationalizing its enterprise by connecting systems, automating workflows, and deploying AI to drive better customer outcomes, at scale and with confidence.

For SpotHopper, AI was not introduced to compensate for broken systems. It was enabled by fixing them.