We build AI agents that handle the coordination work, decision making, and manual follow-ups that your ERP system leaves behind.
COMPLIANCE WORK
The evidence for a batch is spread across many systems, and much of it is on paper. Our agents read it, link it to one batch, and raise every exception with its reasoning and its source. Your most experienced reviewers spend their time on the exceptions, not on the clean pages. The decisions stay with your people.
Read access to your systems, writes only through transitions you approve. A named person confirms every finding.
AI agents for ERP are software programs that monitor your ERP system for exceptions (invoice mismatches, aging receivables, back orders, quality issues), apply business rules to make decisions, and take action automatically - such as contacting customers, resolving discrepancies, or escalating to staff.
They work within your existing ERP security model and handle the coordination work that currently requires manual intervention.
We use the SAP AI stack. Joule, BTP, AI Core. Native, supported by SAP, and deployed in your own SAP BTP account.
Explore SAP →DEEP EXPERTISEOur longest-standing platform, and where our deepest implementation experience lies.
Explore Acumatica →Your AP team resolves invoice mismatches manually. Your AR team chases aging receivables by phone. Your operations team coordinates back orders through email.
The exception becomes manual work - emails, calls, and follow-ups. A typical ERP environment generates 20-40 exceptions per day. At 30 minutes per exception, that's 10-20 hours of daily manual work.
"These aren't process failures. This is how ERP systems work. They handle standard transactions efficiently. They stop when something doesn't match, doesn't align, or requires judgment."
Exceptions that don't get resolved today become tomorrow's escalations.
We work with companies running established ERP systems - Acumatica, NetSuite, SAP Business One, Microsoft Dynamics 365, Epicor, or similar platforms - who need custom solutions for specific operational bottlenecks.
We are not the right fit for AI R&D projects, enterprise-wide transformations, or companies still implementing their core ERP.
We take on exception handling.
These agents handle the judgment calls, coordination work, and follow-up that currently requires human intervention.
Your ERP publisher/vendor will add AI features over time, designed for broad applicability across all customers. We build agents for your current process, designed for how you work today.
| QUESTION | AI Agents | RPA/Traditional Automation | Manual Process |
|---|---|---|---|
| ROI timeline | 6-12 months | 12-24 months | N/A |
| Pilot pricing | Fixed price, scoped upfront | Large upfront build and IT project | Labor costs only |
| Best for | Exception handling with judgment | Repetitive tasks, zero variation | Complex strategic decisions |
| Handles variable exceptions? | Yes | Limited - requires exact process match | Yes |
| Requires judgment? | Yes - within defined business rules | No - follows scripts only | Yes - full judgment |
| Scales with volume? | Yes - 30 or 300 exceptions | Yes - but breaks with variation | No - requires headcount |
| Setup time | 6-8 weeks | 3-6 months | None |
| Ongoing maintenance | Low - self-monitoring | High - breaks with system changes | None |
Step-by-step process flow:
Agents are assembled from established model providers and orchestration frameworks, evaluated before they touch production, and run inside your ERP's own permission model.
AI agents operate within your ERP's existing security and approval framework. Every action is logged. Every decision is auditable. Human oversight is built into the workflow, not added afterward.
Governance and Control →Representative results from recent implementations:
Implementing an AI agent for AR collections on invoices under $10,000. Within 90 days:
Team now can focus on high-value accounts and credit analysis
Automating three-way matching exception resolution. Results after 60 days:
Improved vendor relationships through faster payment cycles
Focused on one agent and one process. This approach lets you validate results before expanding.
AI deployment looks different in every sector. The coordination gaps, the regulatory context, and the systems involved are specific to each industry. So is the work we do.
Do not see your industry listed? Most coordination problems cross sector lines. Book a call and we will tell you within the first conversation whether we are a fit.
Demos, articles, and conversations on where ERP systems stop and what agents take over.
Explore Resources →The business problem is straightforward: exception handling consumes disproportionate staff time while standard transactions process automatically. Most explanations focus on the technology rather than this operational reality.
Practical answers on ERP compatibility, timeline, governance, auditability, and how pilots work.
All FAQs →Direct labor costs typically run $40,000-$75,000 annually per exception process (at 15-20 hours weekly, $50-75/hour fully loaded). Companies with multiple exception processes can spend $200,000+ annually on coordination work.
AI agents integrate with any ERP that has API capabilities, including Acumatica, NetSuite, SAP Business One, Microsoft Dynamics 365, Epicor, Oracle NetSuite, IQMS, Plex, Deltek, and others.
Most companies see measurable results within 30-60 days of pilot deployment. Full ROI typically achieved within 6-12 months.
Yes. We recommend starting with one high-volume exception process - typically AR collections or AP matching. Validate results, then expand to additional processes.
AI agents free staff from repetitive coordination work. Teams typically redirect time to credit analysis, vendor negotiations, customer relationships, and process improvements - work that requires human expertise and judgment.
No. AI agents integrate with your existing ERP through standard APIs. No changes to your core ERP system required.
Book a 30-minute discussion about your specific situation. No sales process. No commitment required. Just a conversation about whether AI agents make sense for your ERP environment.
