One connected investigation
Shipment records, customer commitments, and carrier capacity are checked together.
One platform. A shared understanding of your business.
Bring your data, people, and AI agents together. Investigate a problem, review the next move, and build the workflows and software to carry it forward.
From shared context to coordinated action.
Connect the systems you already use. Give people and agents the same business picture, with clear permissions when it is time to act.
A shipment is connected to its customer, contract, carrier, and delivery promise. Pascal brings those relationships together so people and agents can work from the same context.
Give an agent an objective. Let it investigate, prepare a plan, and bring the right person in when a decision is needed. The conversation, sources, and resulting work stay together.
Define who can read, decide, and act. Review consequential changes before they happen, then inspect the result in the system that owns the record.
The building blocks of your operation.
Model the business, prepare the data, coordinate the work, and put agents to use. Governance connects all four layers.
Give your systems a shared business model.
Connect customers, assets, orders, and the relationships between them. Give applications and agents a shared business model while keeping the original systems in place.
Turn source data into a dependable answer.
Prepare reusable datasets, query them in SQL, run calculations, and develop predictions. Keep source history, quality, and access rules attached to the data.
Keep the next step connected.
Coordinate processes across people and systems. Investigate exceptions, compare responses, and build reusable functions around the same business objects and permissions.
People and agents. Shared context.
Give agents clear assignments and relevant knowledge. Work together in shared rooms, preserve useful decisions, and evaluate what the next version should improve.
Agents with a defined jobAgentsAgent behavior and qualityAgent ObservabilityAgent experiments and regression testsAgent EvaluationLearning from reviewed responsesRLPeople and agents togetherWorkroomsKnowledge for each taskDynamic ContextDecisions and precedentsContext GraphThe model operating lifecycleModels
Keep permission and action together.
Set access, review consequential changes, and confirm what happened across the whole platform.
Start with a job that matters. Build from there.
Start with a job your team already needs to do. Explore an operating example or the product that supports it.
Product
Understand an agent failure
Find the captured response, inspect the calls behind it, and carry the evidence into an investigation.
Product
Test the next agent release
Compare the same cases across versions. Review regressions and missing results before deciding what to change.
Solution
Recover a disrupted shipment
Find affected customer promises, compare recovery routes, and review the plan before carriers are reassigned.
Solution
Prepare an account recovery
Bring usage, support history, and renewal dates into one plan with an owner for each next step.
Solution
Build an operating tool
Turn a business requirement into an application, with source, checks, preview, and release review connected.
Solution
Reconcile diligence materials
Trace financial claims back to source documents. Surface discrepancies before the investment review.
Product
Review a process change
Identify affected procedures and control limits. Prepare a validation plan and route it to the right reviewers.
Product
Investigate a research question
Gather the sources, compare their findings, and keep uncertainty visible in the resulting analysis.
Product
Build a live operational view
Give a team one place to find the records that need attention, inspect context, and take the next action.
Product
Connect a business system
Bring records and events into Pascal, then make approved actions available to workflows and agents.
Product
Publish a reusable dataset
Transform source records, check data quality, and provide a maintained dataset for downstream work.
Product
Automate a recurring handoff
Coordinate the steps between teams and systems, including waits, approvals, and recovery when a step fails.
Product
Evaluate a model for a real job
Compare candidates against an operational objective and inspect the quality, cost, and failure cases.
Product
Make a decision reusable
Keep the sources, rationale, and result connected so the next investigation can build on prior work.
A disruption becomes a decision.
In this illustrative recovery, a carrier failure affects 42 shipments. Pascal connects the commitments, fallback capacity, and required approvals in one investigation.
Commitments needing a response
These shipments risk missing the 21:00 UTC cutoff. The team compares fallback capacity before acting.
Hazardous loads remain held
The lithium shipments require their own Compliance decision and stay outside the approved reroute scope.
A specific scope, a recorded result
The operator approves the eligible reroutes. Pascal keeps the confirmation and follow-up work with the decision.
A forecast to verify
The scenario projects zero new breaches under its assumptions. Later shipment events must establish the actual service outcome.
Control built into the work. Know who can do what.
Access
Scope the data and tools available to each person and agent.
Review
Bring a consequential change to the person responsible for the decision.
Follow-through
Inspect what changed, what failed, and what still needs attention.
Bring your operation
together.
Choose a workflow that crosses teams or systems. Let’s connect the context, decisions, and tools it needs.