Operational source of work
Customer records, work units, status, assignments and cross-team handoffs are kept traceable instead of scattered across unrelated files and chats.
AI BACKOFFICEVERIFIED REFERENCESYNTHETIC DATASET
One operational backoffice.
Adapted to the way your business works.
Kebunate AI Backoffice is a reusable operations foundation for customer work, supplier documents, payment tracking, team workflow and evidence-backed delivery. We start from a frozen verified core and configure the customer-specific layer instead of rebuilding the whole system for every project.
What the system coordinates
A common operating model can be mapped to trips, orders, projects, jobs, bookings or other customer work units.
Documents enter a review queue
Invoices and related documents can be extracted and matched to the right work unit, while financial truth remains behind a Human Review gate.
Receivable, payable and P&L context
Payment state, supplier cost, work-unit economics and evidence pointers can be reconciled without claiming payment or revenue before authoritative read-back exists.
Four reusable starter kits
The verified Reference V1 is frozen. Customer projects select a starter and configure the instance rather than forking the core infrastructure.
Trip operations
Trip → Booking → Supplier → Balance → Trip Close.
Order operations
Order → Purchasing → Receiving → Fulfillment → Collection.
Project operations
Brief → Production → Freelancer Cost → Approval → Billing.
Service operations
Booking → Assignment → Service Completion → Balance → Close.
Customer delivery path
Discover
Map the real workflow, current data, people, controls and integrations.
Configure
Select the frozen core or starter kit and add only customer-specific mappings, UI and adapters.
Build + verify
Run bounded QA, Human Review where required and independent runtime read-back.
Deliver
Publish or deploy only through the approved production gate, then reconcile acceptance and payment evidence.
Reference truth boundary
What is verified
- Internal Reference Implementation exists
- Synthetic dataset acceptance is repeatable
- Independent core verification passed
- Public case-study read-back passed
- Four starter kits are frozen baselines
What this page does not claim
- No real customer acceptance is implied by the synthetic reference
- No customer ROI is inferred
- No revenue is inferred
- n8n runtime execution is not claimed without separate runtime evidence
Have a backoffice workflow that still runs through spreadsheets and repeated manual work?
Bring the actual process. We will map it to the verified core, define the bounded first phase and keep operational claims evidence-backed.