Beating your stress-test anxiety

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Stressed for the stress test? Test your systems before peak season and put your mind at ease with Celigo. Get ready for a high-performing Q4.

Everyone knows the test nightmare. You show up to a class the day of the exam and simply aren’t ready (or wearing pants, for some reason).

IT teams can run into a similar nightmare situation that’s all too real: the stress of a stress test. Black Friday/Cyber Monday rolls around, and no one checks to see if their enterprise’s internal infrastructure can hold up against a major uptick in volume.

But this isn’t an irrational nightmare. Just like with standardized testing in high school, all you need to succeed is a little guidance. Celigo, an intelligent automation platform that spans the full spectrum of enterprise automation, wants to be your tutor to help you overcome your stress-test anxiety. They’ll help you avoid common pitfalls, explain when to test your systems before those key moments, and create a single platform governance model for AI automations.

Class is officially in session, so let’s start with the basics.

Preparation makes perfect

The old adage, “If you stay ready, you don’t gotta get ready,” is truer than ever. Especially now that November isn’t the only time operational pressure rises. A viral moment, a surprise influencer drop, or a competitor flash sale can trigger order volume on any given day that rivals a tentpole event. While it’s great for business, it also means teams can’t afford to put off infrastructure investments. IT teams that treat readiness as a seasonal project are already behind.

When order volume surges, the fragile points in a stack aren’t always the front end. They’re the integrations between the storefront, ERP, fulfillment system, and inventory. Manual touchpoints that feel manageable at normal loads become the thing that drops orders at 2am on Cyber Monday. Every late or malformed API call is a chargeback, a missed SLA, or a customer who doesn’t get what they ordered.

The sooner teams shore up these systems, the better prepared you are for any kind of spike in pressure. Celigo customers saw order volume rise 66% over the four-day Black Friday/Cyber Monday weekend in 2025. The operations teams that absorbed it built integration-native automation, with AI operating under governed workflows, into their stack before the pressure arrived. Celigo helps mid-market and enterprise IT teams build that foundation.

Timing is everything

If Halloween decorations are out, we are sorry to say you missed your window for stress testing. Scary!

The retailers and IT organizations that perform best during peak season review their integration architecture, load-testing workflows, and pressure-testing AI governance in Q3. That gives them enough time to fix the cracks before everything crumbles. Running a thorough postmortem on what happened during this summer’s major retail events is how commerce teams stay ahead. The operational issues that surface are far easier to fix when you have more than two weeks to get them resolved.

Celigo recommends three areas to pressure-test before peak:

• Order-to-cash flow: Where does a human still have to touch an order?
• Inventory accuracy: How quickly does a stock change propagate across all channels?
• AI governance: Do you have visibility into what every AI workflow is consuming and at what cost?

One platform to govern them all

Let’s say the prep work was all worth it, and there’s still plenty of time before peak season. Now it’s a matter of making the most of those advantages. Enterprises historically bought separate tools for different types of integrations: one provider for marketplaces, another for connectors to EDI services, etc. Now with AI, organizations face a false choice between rules-based automation that’s predictable but brittle and AI that’s powerful but hard to govern. Celigo can close that gap for both.

Their one-platform, one-governance-model approach spans the full range of automation and integration patterns. From deterministic rules-based automations to AI agents making autonomous decisions across fulfillment and customer service, their integration infrastructure and runtime controls are designed to give IT teams the confidence to deploy automations and AI in production.

90% of enterprises with AI workflows fully in production rely on an integration platform. Companies using enterprise-wide integration platforms are 5x more likely to use diverse, real-time data sources in their AI workflows, according to 2026’s MIT Technology Review Insights: Bridging the Operational AI Gap.

Without centralized oversight, there’s no consistent framework for auditing AI outputs or assigning accountability when a workflow makes a consequential mistake during peak load times. Some enterprises already see monthly AI bills in the tens of millions, with workflows making critical decisions on incomplete, siloed data, according to Deloitte’s Tech Trends 2026.

MIT also found that 76% of mid-to-large US enterprises have at least one AI workflow fully in production. 95% say their workflows already carry some level of autonomy, and 92% expect that autonomy to increase in the next 12–18 months.

All this to say? The enterprises scaling successfully are those who built the integration layer before they needed it. Join the ranks of the prepared few with Celigo, and check out their latest guide for more ways to build a stronger operational foundation.