AI Agents for Workflow Exception Detection
WorkAgentic builds AI agents for workflow exception detection that watch every running workflow instance, catch bad data and rule violations the moment they happen, and route each exception to the right person with the context needed to resolve it.
No technical team neededBuilt by CPAs
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Workflow Exception Detection
Six exception detection tasks your team stops running manually
Each agent watches your workflows as they run and flags the moment something breaks. No waiting for a periodic review, no discovering the problem after it has already caused damage downstream.
Real-Time Exception Flagging
- Workflow instances checked as they run, not on a periodic review cycle
- No waiting for a downstream report to reveal that something went wrong
- Flags raised within the same cycle an exception actually occurs
- Multiple workflows monitored in parallel without added manual effort
- Clean instances pass through without ever needing a person's attention
Rule Violation Detection
- Business rules checked automatically against every workflow instance
- Rule sets configured per workflow instead of applied uniformly across all of them
- A step that fails to complete flagged instead of silently skipped
- Rules updated without rebuilding the underlying workflow they check
- Violations logged with the specific rule that was broken
Bad Data Identification
- Missing, malformed, or out-of-range values caught before they move forward
- Values checked against other data sources to catch contradictions
- Thresholds set per field so normal variation isn't flagged unnecessarily
- Bad data caught at the point it enters the workflow, not further downstream
- Detection rules refined as new bad-data patterns are identified
Exception Prioritization and Routing
- Exceptions ranked by severity so the most urgent ones surface first
- Each exception routed to the person who actually owns that step
- Routing rules configured per workflow and per exception type
- Low-severity exceptions grouped so they don't crowd out urgent ones
- Escalation triggered if a flagged exception sits unresolved too long
Root Cause Pattern Surfacing
- Recurring exceptions grouped by cause instead of reviewed one by one
- The same field failing repeatedly surfaced as a pattern, not treated as isolated
- Trends tracked over time so a worsening issue is visible before it escalates
- Upstream source of a recurring exception identified, not just the symptom
- Fixing the root cause reduces exception volume instead of just clearing it
Exception Resolution Tracking
- Every flagged exception tracked from detection through resolution
- Resolution notes captured so context isn't lost between shifts or teams
- Open exceptions visible at a glance without checking multiple systems
- Average resolution time tracked so bottlenecks in review become visible
- Nothing gets closed out without a recorded reason
Built Around Your Workflow
Your existing systems are already the source of truth
WorkAgentic builds each workflow automation agent around the systems, rules, and approval logic your team already uses. Nothing about how your team works today needs to change. The agent runs in the background, and your team reviews exceptions and keeps final say.
Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
100+
systems we connect to
Any API
if it exports data, we connect
NetSuite
SAP
Salesforce
Xero
Oracle
Dynamics
Sage
100+
more systems
SAP, Oracle, Workday, Monday.com, Asana and any system with a structured API or data export
Case Studies
AI agents we have already built and deployed
Real deployments. Real outcomes. Each agent was built from scratch around the client's exact workflow.
Frozen Foods / CPGHow a $150M Frozen Foods Distributor Eliminated Overnight Temperature Risk and Prevented $200K–$250K in Annual Losses
A leading frozen foods distributor managed millions of dollars of temperature-sensitive inventory across its refrigerated fleet but had no visibility into trailer temperatures during overnight hours. This created a significant risk of product spoilage, inventory loss, and customer service disruptions.
Read case study
CPG / Consumer Packaged GoodsHow a $50M CPG Brand Replaced a $180K TPM System and Unlocked $300K in Annual Value Using Open-Source TPM and Agentic AI
A $50 million consumer packaged goods (CPG) brand was struggling with the growing complexity of trade promotion management. Despite investing heavily in a traditional TPM platform, many critical processes remained manual, including trade planning, accrual management, deduction reconciliation, customer profitability reporting, and trade spend analysis.
The company was spending approximately $180,000 annually on TPM software while dedicating significant internal resources to managing promotions, deductions, and reporting activities.
Read case study
Frozen Foods / CPGHow a $250M+ Frozen Food Manufacturer Cut Daily Inventory Reporting from 120 Minutes to 5 Minutes and Saved $44,000 Annually
A $250M+ frozen food manufacturer managed inventory across multiple third-party warehouses and cold storage facilities. Accurate inventory visibility was critical for supply planning, production scheduling, customer service, and inventory management.
However, the company relied on a highly manual inventory reporting process that required data from twelve separate sources, including warehouse portals and accounting system reports, to be downloaded, reconciled, and consolidated twice each day.
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CPG / Business Process OutsourcingHow a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROI
A leading business services provider supported multiple consumer packaged goods (CPG) companies with aggregate annual sales exceeding $800 million. The organization was responsible for transcribing retailer deduction documentation, validating deductions against trade promotion planners, proof-of-performance documents, and promotional contracts across multiple customers, channels, and retailer platforms.
As client volumes increased, the process of extracting, validating, and transferring retailer data into spreadsheets, reports, and operational dashboards became increasingly dependent on manual labor.
Read case study
Watch the Agent Work
See an exception detection agent running live
A 3-minute walkthrough showing how the agent checks a workflow instance, catches a rule violation, ranks it by severity, and routes it to the right person with the context needed to resolve it.
Workflow instance checked against your defined rules as it runs
Exception flagged the moment it occurs, not on a periodic review
Severity ranked and routed to the person who owns that step
Resolution tracked from flag to close with full context retained
No commitment. We demo with a real workflow automation setup, not a sandbox.
Start with exception detection. Add more workflow automation agents as your team grows.
WorkAgentic deploys workflow exception detection that watches your workflows as they run, flags bad data and rule violations the moment they happen, and routes each one to the right person with full context.
WORKFLOW AUTOMATION
Approval Workflows
- WorkAgentic deploys approval workflow automation that routes every request to the right approver, tracks it through each sign-off step, and escalates automatically so nothing sits waiting on an inbox.
Data Entry Automation
- AI agents for data entry automation. Extract data from documents and forms and enter it into your systems automatically, with no manual keying.
Portal Data Extraction
- WorkAgentic builds AI agents for portal data extraction. Log into external portals and pull data automatically, no API required.
Workflow Exception Detection
- WorkAgentic builds AI agents for workflow exception detection. Catch bad data and rule violations the moment a workflow breaks.
Cross-System Automation
- WorkAgentic builds AI agents for cross-system automation. Move data between disconnected systems automatically.
Email Inbox Automation
- Triage incoming email, extract the request, and route or draft replies automatically.
Human-in-the-Loop Workflows
- WorkAgentic builds AI agents for human-in-the-loop workflows. Pause for review at defined checkpoints only.
Task Routing
- WorkAgentic deploys task routing that assigns every incoming task to the right person by skill and workload, no matter which channel it came from, so nothing sits waiting for a manual decision.
Workflow Monitoring
- Track uptime, SLA adherence, and throughput across every automated workflow in one place.
Workflow Orchestration
- Coordinate multiple systems and steps into one sequenced process, from trigger to completion.
FAQ
Questions about workflow exception detection
Clear answers on how the agent flags exceptions, prioritizes them, routes them, and what your team stays responsible for.
Workflow exception detection agents are AI agents that monitor a running workflow instance and flag it the moment something goes wrong, such as bad data, a rule violation, or an unexpected result, so a person can review it before it causes a downstream problem. WorkAgentic builds workflow exception detection agents for teams whose current process only catches these issues after they have already affected a customer, a report, or a decision.
Workflow exception detection flags a specific instance where a running workflow hits bad data or breaks a rule, reactively, as it happens. Workflow monitoring tracks the aggregate health of all your workflows, such as uptime, SLA adherence, and queue backlogs, proactively and continuously. This page covers the instance-level exception agent. A separate workflow monitoring agent covers the broader operational visibility pattern.
Anything that falls outside the rules you define: a missing or malformed field, a value outside an expected range, a step that fails to complete, or a result that contradicts another data source. You define what counts as an exception for your specific workflow during setup.
No. The agent flags the exception and routes it to the right person with the context needed to resolve it. The actual fix and any judgment call stays with your team. The agent removes the work of noticing the problem in the first place.
Yes. Rules are configured per workflow, so a data validation issue in one process and a rule violation in another can each be defined and flagged independently, without one workflow's rules interfering with another's.
The agent checks each workflow instance as it runs, so an exception is flagged within the same cycle it occurs rather than discovered during a periodic review or after a downstream report has already gone out.
Yes. Exceptions are logged with their cause, so recurring patterns, such as the same field failing validation repeatedly, are visible over time. This makes it easier to fix the root cause instead of clearing the same exception every cycle.
Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
Get Started
Ready to catch exceptions before they reach a customer?
Book a free 30-minute exception detection process review. We map your current workflows and show you where automation catches problems earliest.
Book a Free Exception Detection Process Review