AI Agents for Workflow Monitoring
WorkAgentic builds AI agents for workflow monitoring that track uptime, SLA adherence, throughput, and queue backlogs across every automated workflow you run, so your team has one place to see how everything is actually performing.
No technical team neededBuilt by CPAs
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Workflow Monitoring
Six monitoring tasks your team stops running manually
Each agent tracks workflow health continuously across every system. No blind spots, no finding out something degraded only after it became a backlog.
Real-Time Uptime and Health Dashboards
- Every workflow's current status visible in one consolidated view
- No checking each system separately to piece together overall health
- Dashboard views configured to match how your team actually thinks about workflows
- Status updates continuously, not on a periodic manual refresh
- New workflows added to the dashboard without rebuilding the whole view
SLA Adherence Tracking
- Every workflow measured against its defined SLA automatically
- Adherence tracked continuously, not calculated after the fact once a quarter
- Different SLAs configured per workflow based on what each one actually requires
- Workflows trending toward a miss flagged before the SLA is actually breached
- Adherence history available for reporting without manual reconstruction
Queue Backlog Visibility
- Queue depth tracked continuously for every workflow that processes a backlog
- Growing backlogs flagged while they're still manageable, not once they're critical
- Backlog trends tracked over time to catch a slow, steady buildup
- Normal seasonal spikes distinguished from a genuinely growing problem
- Backlog data available without pulling a manual count from each system
Throughput and Volume Trend Analysis
- Processing volume and speed tracked per workflow over time
- Slowdowns identified before they compound into a bigger performance issue
- Volume trends compared against historical patterns automatically
- Capacity planning informed by real throughput data, not estimates
- Trend data exportable for broader operational reporting
Automated Alerting on Thresholds
- Alerts fire automatically when a defined threshold is crossed
- Thresholds configured per metric and per workflow, not applied uniformly
- Alerts routed to the person who actually owns that workflow
- Alert sensitivity adjusted over time to cut down on noise
- No degradation left unnoticed until someone happens to check manually
Cross-Workflow Performance Reporting
- Performance compared across every workflow in one consolidated report
- Best and worst performing workflows identified without manual comparison
- Reports generated on a schedule or on demand, whichever your team needs
- Historical comparisons available to track improvement over time
- Data delivered in the format your team already uses for reviews
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 a workflow monitoring agent running live
A 3-minute walkthrough showing how the agent tracks a workflow's health, flags a queue building up before it becomes critical, and generates a cross-workflow performance report.
Uptime and SLA adherence tracked continuously for every workflow
Growing queue backlog flagged while it's still manageable
Alert routed to the person who owns that specific workflow
Cross-workflow report generated without manual data pulling
No commitment. We demo with a real workflow automation setup, not a sandbox.
Start with workflow monitoring. Add more workflow automation agents as your team grows.
WorkAgentic deploys workflow monitoring that tracks uptime, SLA adherence, and throughput across every automated workflow, so your team has one place to see how everything is performing.
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 monitoring
Clear answers on what gets tracked, how alerts work, and what your team stays responsible for.
Workflow monitoring agents are AI agents that track the aggregate health of your automated workflows, including uptime, SLA adherence, throughput, and queue backlogs, so your team has continuous visibility into how every workflow is performing rather than finding out something is wrong only when someone complains. WorkAgentic builds workflow monitoring agents for teams running multiple automated processes who currently have no single place to see how they’re all doing.
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 across the board. This page covers the aggregate monitoring agent. A separate workflow exception detection agent covers flagging individual broken instances.
Uptime, average processing time, SLA adherence, queue depth, and throughput are tracked by default, with additional metrics configured based on what matters most for your specific workflows.
Alerts fire based on thresholds you define, such as queue depth exceeding a limit or SLA adherence dropping below a target, so degradation is flagged as it develops rather than discovered after it has already become a backlog.
Yes. The agent pulls health data from every connected workflow regardless of which system runs it, so your team gets one consolidated view instead of checking each system separately.
No. Monitoring runs alongside your workflows without interfering with their execution. It observes and reports on performance without adding any processing overhead to the workflows themselves.
Yes. Historical performance is tracked so you can see whether a workflow is trending toward a problem well before it actually breaches a threshold, not just its status at this exact moment.
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 see how every workflow is actually performing?
Book a free 30-minute monitoring setup review. We map the workflows you want visibility into and show you where the biggest blind spots are today.
Book a Free Monitoring Setup Review