Problems identified too late
Disruptions are buried in messages or fragmented systems, so teams only react after a deadline or customer commitment is missed.
General · AI Agent
Why reactive exception handling is holding your operations back
A late delivery, equipment breakdown or inventory shortage should not trigger a chain of disconnected emails and manual follow-ups. Let an AI assistant surface the right issue, to the right people, with the information needed to act.
Agentic AIWorkflow automationHuman-in-the-loop
Example workflowHuman in control
Exception detectedOperational update, email or system event
AI assesses the impactAffected case, deadline and missing evidence
Recovery options proposedAvailable alternatives and recommended next step
Responsible owner decidesApproval, rejection or escalation
Resolution coordinatedSystem updates, customer notification and audit history
The challenge
Challenges:
Most routine processes are predictable. The hardest work begins when reality deviates from the plan.
No clear view of business impact
Staff must manually investigate which orders, resources, customers and commitments are affected.
Scattered evidence and context
Job records, photos, documents, timestamps and previous communications are spread across multiple applications.
Unclear ownership and escalation
An exception may be passed between customer service, operations and management without a designated decision maker.
Slow customer communication
Affected parties are not always updated promptly or consistently after a recovery decision.
Recurring issues without insight
Exceptions are resolved informally, leaving little structured data for analysis, root-cause reduction or reporting.
Agentic process automation
Solution Overview:
Our operational exception management agent turns unexpected events into structured, trackable workflows—without removing human judgement from operational decisions.
Multi-channel exception detection
Interpret issue reports, operational status changes and incoming messages; match the event to the relevant case or transaction.
Context and impact assessment
Gather the affected orders, deadlines, commitments and supporting evidence into a single view.
Recovery-option recommendations
Compare available alternatives against business rules and live operational context where permitted data is available.
Human approval and escalation
Route proposed actions to the appropriate owner, record the decision and escalate overdue or high-risk cases.
Coordinated follow-through
After approval, update connected systems, send communications and monitor that the selected actions are completed.
Exception history and reporting
Maintain timestamps, decisions, supporting records and resolution outcomes for audit and continuous improvement.
The workflow
How our AI assistant for
operational exception management works
Whether the exception is a transport breakdown, a warehouse shortage or a delayed approval, the workflow follows a consistent operating pattern.
Step01
Detect and classify the issue
Capture a breakdown, delay, shortage, missing document or other exception from a connected source. Identify its severity and the affected case.
Step02
Collect relevant context
Retrieve the current workflow status, commitments, resources, responsible owners and available supporting evidence.
Step03
Assess impact and propose actions
Identify potential consequences and prepare recovery options within documented policies, including any unresolved information.
Step04
Escalate for an authorised decision
Present options to the responsible employee or team. Record the approval, rejection, new instruction or escalation outcome.
Step05
Coordinate approved actions
Apply permitted system updates, prepare revised notifications and track communications or operational tasks resulting from the decision.
Step06
Verify resolution and capture learning
Check that follow-up steps and evidence are complete, retain a case timeline and make exception trends available for reporting.
The business impact
Key features and benefits of Agentic AI
Earlier intervention
Surface issues before they become missed handoffs or commitments.
Faster decision support
Bring together context and alternatives rather than forcing manual investigation.
Clear accountability
Give every exception a responsible owner and a visible status.
Consistent follow-up
Track approved updates, communications and closure evidence.
Operational insight
Build a searchable history of exceptions, causes and outcomes.
What if operational problems came with a path to resolution?
Deploy an AI assistant that detects issues, coordinates the right people and follows through on every approved recovery action.
Hire one