Exception handling creates bottlenecks in four areas of most ERP operations: finance, sales, operations, and procurement. AI agents handle these exceptions by applying your business rules to variable situations, taking appropriate action, and escalating when needed.
Typical ERP environments generate 20-40 exceptions daily. Each requires coordination across systems, communication with customers or vendors, and decisions based on business context.
Most ERP environments generate 20-40 exceptions daily across finance, sales, operations, and procurement. These exceptions follow business rules but include variations that need judgment based on context.
This is where agents add value. They handle the routine application of business rules while escalating situations that truly require human expertise.
Compliance
Every executed record assessed against approved baselines. Exceptions surfaced with evidence. A named reviewer confirms each one.
See compliance use cases →Manual collections consume 15-20 hours weekly in typical finance teams. Agents monitor aging, initiate systematic outreach, track payment promises, and escalate based on defined thresholds.
Pharmaceutical, food and beverage, nutraceutical and chemicals. Controlled access, with a human gate on every finding.
Go to Compliance →More agents added regularly. Check back, or book a call to discuss a custom agent for your specific process.
Most implementations follow a pilot structure: 6-8 weeks for development and initial deployment, followed by 4-6 weeks of validation and refinement.
Post-pilot, most companies expand to additional use cases. The same integration foundation supports multiple agents. Implementation learning applies to subsequent processes.
Read Detailed Implementation Approach →If you are unsure where to start, most companies begin with AR collections or AP matching. These processes typically have high volume, clear ROI, and straightforward implementation. High volume provides faster ROI validation and clearer performance metrics.
Possible but not recommended. Starting with one use case lets you validate the approach, refine your governance framework, and build internal confidence before expanding. Most companies add additional use cases after 90-day pilot completion.
Calculate current labor time per exception type (hours per week), multiply by fully loaded labor cost, add indirect costs (working capital impact, relationship strain). Highest total cost typically indicates highest ROI opportunity.
No. Implementation complexity varies based on process complexity, number of systems involved, data quality, and rule sophistication. AR collections and back orders are typically simpler. Quote generation and quality issue coordination are more complex.
Yes, but each department typically implements separately. Exception processes are department-specific even when they involve cross-department coordination. Implementation approach respects organizational boundaries.
These represent common patterns, not the only possibilities. Custom use cases are common. The key criteria: exceptions follow business rules (even if complex), volume justifies automation (typically 20+ per week), and process is documented.
Metrics vary by use case but typically include: processing time reduction, staff time savings, consistency improvements (error rates, documentation quality), and outcome improvements (DSO, customer satisfaction, vendor relations).
Schedule a conversation about your exception processes, volume, and which use case makes sense for a pilot implementation.
