Applied AI use cases

Applied AI for the work that slows businesses down.

These are starting patterns, not off-the-shelf promises. Feasibility depends on data quality, system access, volume, risk and the people responsible for the workflow.

Common starting points

Cross-industry workflows.

These recurring patterns appear across sectors. Each should begin with one bounded workflow, an accountable owner and measurable acceptance criteria.

Explore sector-specific workflows

See how the same governed approach can be applied to recurrent work across different industries.

Use case 01

Supplier inbox to ERP

Problem
Teams read supplier emails and attachments, re-key details and chase mismatches across orders, deliveries and invoices.
System
An AI-powered workflow extracts approved fields, checks them against source records, proposes updates and routes exceptions to the right person.
Human control
People approve exceptions and high-risk actions before anything changes in the system of record.
Measure
Processing time, exception rate, rework and error rate.

Use case 02

Product content localisation

Problem
Approved product information must be adapted across markets, languages and commerce channels without losing accuracy or brand control.
System
A governed content workflow transforms approved source information into channel-ready variants, validates required attributes and flags uncertain output.
Human control
Brand and market owners approve final claims and assets.
Measure
Time to publish, completeness, correction rate and approval time.

Use case 01

Manifest and document reconciliation

Problem
Teams cross-check cargo manifests, bills of lading, customs files, invoices and status messages across inconsistent formats.
System
An AI-powered document workflow extracts relevant fields, compares records, identifies discrepancies and assembles an exception queue with source references.
Human control
Authorised staff resolve discrepancies and approve submissions.
Measure
Reconciliation time, unresolved exceptions, rework and missed-document rate.

Use case 02

Dispatch decision support

Problem
Dispatchers combine changing schedules, capacity, driver communication and available congestion data under time pressure.
System
A decision-support workflow assembles current inputs, proposes prioritised actions and records the reason for each recommendation.
Human control
The dispatcher remains responsible for operational decisions.
Measure
Planning time, avoidable delays, utilisation and exception response time.

Real-time routing depends on reliable access to operational and congestion data. AgentAligned has no integration with any Port authority system.

Use case 01

Invoice and exception processing

Problem
Finance teams repeatedly match invoices, orders, approvals and supporting documents, then spend time finding the owner of each exception.
System
An AI-powered workflow reads the pack, checks the relevant records, prepares a recommendation and routes exceptions with source evidence.
Human control
Authorised staff approve payments and policy exceptions.
Measure
Touch time, cycle time, exception age and avoidable rework.

Use case 02

Internal policy and knowledge support

Problem
Staff lose time searching for the latest approved policy, process or answer across fragmented repositories.
System
A permission-aware assistant retrieves answers from approved sources, cites the source and escalates when evidence is insufficient.
Human control
Document owners govern the source set and review sensitive or policy-changing requests.
Measure
Time to answer, citation coverage, unresolved-query rate and adoption.