Introducing Continuous Intelligence: Never resolve the same exception twice

AI systems often appear to work at launch but struggle once real volume hits.

A workflow runs; an exception appears; and an operator fixes it. The next day, a similar exception shows up again. Across workflows and teams, the same corrections repeat because the system resolves the output but does not retain the reasoning behind the fix.

If a system cannot remember how an exception was resolved and apply that logic the next time it appears, the system doesn’t improve and the same manual review is constantly required.

Exceptions and customization are critical to your operations

Logistics runs on customer-specific rules, contract overrides, and recurring exceptions.

Customers submit tenders with fields they routinely omit. Contracts override default service levels on specific lanes. Documentation requirements shift by consignee, port, or regulator. These are not unusual events. They are part of daily operations.

Experienced operators recognize these patterns immediately. They know which customer always ships with FOB terms as “Destination.” They know the specific oversized threshold for a Boeing 747 vs 777. They know when a missing field can be inferred safely and when it requires escalation.

That judgment determines margin, compliance, and service performance. At scale, that dependency compounds. Volume does not create leverage unless the underlying logic compounds with it.

Introducing Continuous Intelligence

Continuous Intelligence changes what happens after an operator fixes a problem.

In most AI systems, someone resolves an exception and the work moves forward. The system does not retain the reasoning behind that decision. When the same issue appears again, the team handles it again.

With Continuous Intelligence, once a fix is validated, it becomes part of how the workflow runs going forward. When a similar situation appears, the system applies the resolution logic automatically. The intervention does not need to be repeated.

Now, as you resolve more exceptions, Pallet becomes smarter and the level of supervision decreases.

How Continuous Intelligence works

When Pallet encounters an exception or edge case it cannot resolve confidently, it creates an intervention. An operator steps in, resolves the issue, and explains the reasoning behind the decision.

Pallet converts that explanation into structured memory.

Before that memory becomes active, it is backtested against historical scenarios to ensure consistent outcomes and prevent unintended accuracy regression. You can optionally require manual approval for new memories. Only validated memories are committed to your Enterprise Memory Layer, the operating blueprint for your business. From that point on, when a similar exception appears, the system applies the stored logic automatically.

Pallet generates thousands of new memories per day across customers. Creation and validation complete in seconds, so learning does not disrupt live operations. Each resolved exception increases the system’s ability to handle similar situations in the future.

The most common memories generated relate to:

• Default unstated information or preferences by customer (eg FOB terms, equipment type)
• Edge cases in executing processes (eg when an import needs a Certification of Origin)
• Carrier-specific instructions (eg how to select a regional vs national carrier for a lane)
• Facility-specific appointment times or instructions

What this changes

Continuous Intelligence turns recurring interventions into improved operating capability, so you’ll never have to resolve the same intervention twice.

The Enterprise Memory Layer accumulates validated knowledge from live operations. Each resolved exception makes Pallet more intelligent and robust.

For logistics leaders, that shift matters. Institutional knowledge compounds instead of dissipating. Workflow volume no longer increases headcount pressure at the same rate. Automation does not stall under complexity.

Continuous Intelligence is how AI automatically becomes more reliable as your operations scale. To see this in action, click here to book a demo.