AI Automation
Connected business workflows
Connect ERPNext with sales, purchasing and accounting. Automate repetitive tasks with governed, traceable workflows.
Automate repetitive work. Keep people in control.
Receive events from e-commerce channels or ERPNext, validate business rules, and trigger documents, alerts or approvals with traceable outcomes.
Start by removing repetitive work
Manual re-entry and state changes
Teams copy data across email, spreadsheets, ERP and commerce platforms, increasing error risk.
Approvals have no SLA
Purchase requests, invoices and warehouse exceptions stall without a clear owner or deadline.
Retries create duplicate transactions
Duplicate webhooks or repeated model tool calls can create duplicate orders or payments.
Failures are difficult to diagnose
Missing run IDs, audit logs, retry histories and safe replay paths make recovery hard.
Automation designed for how your business works
Event-driven workflows
Start flows from ERP, marketplace or app events without frequent polling when webhooks are available.
Rules & decision engine
Keep predictable business rules separate from model-based reasoning.
Human approvals
Route exceptions to authorized approvers with thresholds and recorded decisions.
Queues, retries and recovery
Use asynchronous jobs, backoff, dead-letter queues and safe replay.
AI classification and extraction
Use AI for classification, summaries and extraction with server-side validation.
MCP-enabled agents
Expose scoped tools for stock, draft creation and tasks without direct database access.
Monitoring and SLAs
Track success, queue depth, failures, latency and priority-based alerts.
Versioned workflow design
Version workflows and run regression tests before production changes.
Connect AI through business rules and access controls
A common design pattern lets AI clients call approved MCP tools. Identity, policy, business validation and audit remain enforced in the server-side integration layer.
Practical workflows from request to outcome
Illustrative flows showing orchestration, approval and transaction boundaries. Actual flows require system-specific assessment.
Paid-order orchestration
When payment events arrive, create or update an order exactly once, validate stock and separate fulfillment from accounting.
- 01
Receive payment webhook
- 02
Verify signature and event ID
- 03
Detect existing order/idempotency
- 04
Submit SO and reserve stock under policy
- 05
Queue fulfillment and audit
Purchase request approval
Create a purchase request, route by budget and create a PO only after policy checks.
- 01
Evaluate stock policy
- 02
Draft material/purchase request
- 03
Check budget and approval
- 04
Create PO after approval
- 05
Notify and follow supplier
AI-assisted exception resolution
Let AI summarize exception causes and suggest actions; critical changes still require valid business rules and owners.
- 01
Receive error or SLA alert
- 02
Fetch authorized context
- 03
Classify and suggest a resolution
- 04
Request human approval when high-risk
- 05
Record action, retry and result
How we implement AI automation
The integration and validation plan is tailored to your actual enterprise tenant, systems and risk profile.
- 01
Process discovery
Map as-is processes, owners, triggers, SLAs and measurable pain points.
- 02
Automation blueprint
Define events, rules, data contracts, error paths and approvals.
- 03
Build and instrument
Develop workflows and connectors with metrics, audit logs and idempotency.
- 04
UAT and failure simulation
Test duplicate events, timeouts, partial failures, refunds and RBAC.
- 05
Rollout and optimize
Roll out gradually, monitor results and improve from observed data.
What your organization receives
Business process map
As-is/to-be flow with RACI, triggers and exceptions.
Automation and integration contract
APIs, payloads, events, queues and timeout policies.
Monitoring dashboard
Run histories, failures, retry states and SLAs.
UAT and operations runbook
Test cases and recovery procedures for operators.
Designed for security and auditability
Least privilege
Agents and workers only access authorized data and actions.
Idempotent writes
Use unique business keys or event IDs for sensitive writes.
Risk-based approval
Use human reviews according to impact; prompts do not bypass controls.
Safe recovery
Keep retry/quarantine states and safe replay procedures.
This describes service capabilities and reference architecture, not a claim that every integration has been deployed for customers.
Frequently asked questions
How does automation differ from AI agents?
Automation follows explicit events and rules; agents can interpret context and select tools. Use deterministic rules for critical, predictable transactions.
Can automation work without AI?
Yes. Webhooks, validation, document transitions and notifications work well with standard rules. Add AI where interpretation adds value.
Can AI post financial transactions?
Workflows can support finance, but permissions, validation, idempotency and risk-based approvals remain mandatory. Platforms may require confirmation or block certain actions.
Is constant polling required?
Prefer webhooks or event APIs when available, with bounded recovery scans and backoff instead of high-frequency polling.
Can it connect ERPNext and PackKUB together?
Yes, through a governed business API layer with clear data ownership and tested event paths.
Do we have to automate the entire company?
No. Start with a measurable workflow that has a clear trigger and owner, then expand by department.
Start with one measurable workflow
Start with a workflow, an approved tool list, and a technical readiness check. We can assess the architecture and the permissions required for your organization.