AI workflows that remove operational drag, not just demo well
We design AI around the work your team already does: ERPNext transactions, approvals, documents, email, reports and exception follow-up. The result is automation that is governed, measurable and safe to run in production.
Automate Document OCR to parse unstructured PDFs, supplier invoices, packing lists, and purchase orders into ERPNext objects.
Continuous background monitoring of ERPNext ledgers to auto-alert negative stocks, order delays, and SLA violations.
Algorithmic matching of incoming payment gateways, bank statements, and receivables records with zero balance variance.
Start where teams lose time every week
AI is useful when it shortens a real process: reading documents, finding exceptions, summarizing context, routing work and making pending decisions visible.
Document OCR Pipelines
Extract supplier details, line items, item codes, and taxes, matching them directly to open POs before posting.
Interactive Custom Dashboards
Give managers unified executive daily briefs, summarizing cash flows, project health, and open risks.
Intelligent Exception Alerts
Instantly notify operators of production delays, stock deficits, supplier SLA breaches, and unallocated payments.
Auto-Reconciliations
Match bank feeds and e-commerce ledger records directly with sales receipts, reducing accounting overhead by 70%.
Built as a controlled workflow layer over your systems
We avoid disconnected chatbot projects. Each automation has data boundaries, role permissions, review states and a measurable business outcome.
Business data layer
ERPNext DocTypes, Frappe APIs, reports, files, email and external system data are connected through scoped access.
AI decision layer
Prompts, retrieval, model calls, validation rules and confidence checks are versioned and testable.
Governance layer
Approvals, audit trail, exception queues, fallback actions and monitoring keep the system accountable.
A practical path from idea to production
The first automation should be narrow enough to validate quickly and important enough for leadership to care about.
Workflow audit
Identify repetitive work, decision owners, required data and risk boundaries.
Pilot build
Create one real workflow using sample business data and agreed success metrics.
System integration
Connect ERPNext, Frappe, Microsoft 365, notifications and API actions.
Operate and improve
Monitor usage, review exceptions, tune prompts and expand only after adoption is proven.