Build the operating system behind your growth.
Diginno connects workflows, data and tools into systems your team can understand, operate and improve after handover.
Scope before software. We first identify the process, owner, exceptions and desired outcome. Technology comes after those decisions are clear.
Service catalogue
> Connected capabilities, scoped one workflow at a time
Each engagement starts with a bounded operational problem. Service details explain the implementation scope and its limitations.
LarkSuite operating systems
When this becomes a problem
Work is scattered across chat, spreadsheets, files and disconnected approval threads.
We design LarkSuite around team ownership, operating workflows and reporting—not around a feature checklist.
- Workspace and permission design
- LarkBase operational applications
- Approval and notification flows
- Training and handover documentation
Workflow automation
When this becomes a problem
People repeatedly copy data, chase updates and reconcile the same information across systems.
We use n8n and fit-for-purpose integrations to automate bounded workflows with visible failure handling.
- Workflow and exception mapping
- API and system integrations
- Alerts, retries and escalation paths
- Runbook and ownership handover
AI-assisted operations
When this becomes a problem
Teams have useful knowledge and documents, but finding, classifying and acting on them is slow.
We add AI where it reduces operational friction while preserving review, access control and accountability.
- Knowledge retrieval workflows
- Document extraction and classification
- Drafting and decision support
- Human approval checkpoints
Data integration and reporting
When this becomes a problem
Operational reports are delayed because sales, finance, inventory or customer data does not agree.
We define the source of truth, synchronize the required data and produce reporting your team can trace.
- Source-system and field mapping
- Synchronization workflows
- Data quality and exception checks
- Operational dashboard foundation
Web and API security audits
When this becomes a problem
A scanner produces findings, but the team still does not know which weaknesses form an exploitable path.
Our authorized audits combine AI-assisted reconnaissance with manual verification and prioritized remediation.
- Defined target and authorization scope
- Manually verified findings
- Attack-chain and business-impact report
- Remediation roadmap and optional retest
HRM on LarkBase
When this becomes a problem
HR records, recruitment, attendance and payroll inputs are scattered across separate files.
We scope HR modules with explicit permissions and human approval. Demo structures are not proof of production-ready automation.
- Recruitment and employee records
- Shift and attendance reconciliation
- Payroll rules and approval steps
- Module testing and operating handover
SePay payment integration
When this becomes a problem
Teams manually compare bank transfers with orders and financial records.
We connect transaction notifications and payment references to agreed matching rules, with manual review for exceptions.
- Account and API scope review
- VietQR and transaction mapping
- Payment matching and duplicate checks
- Reconciliation workflow handover
Pancake POS + LarkBase CRM
When this becomes a problem
Sales orders are disconnected from contracts, delivery work, receivables and commission records.
We connect selected Pancake POS data to LarkBase through n8n, with clear field ownership and synchronization rules.
- Customer and order field mapping
- Scoped API polling through n8n
- CRM and downstream operations modules
- Exception testing and handover
Delivery model
> From operational problem to owned system
01
Operational discovery
Identify the workflow, owner, systems, exceptions and measurable outcome.
02
Scope and architecture
Agree on boundaries, data movement, permissions, delivery milestones and acceptance criteria.
03
Implementation reviews
Review working increments early instead of waiting for a final black-box delivery.
04
Handover and improvement
Document ownership, train the team and prioritize improvements from real usage.
Engagement fit
> A useful first conversation starts with context
A good starting point
- A repeatable workflow has a clear business owner
- The current process can be observed and documented
- The team can provide access to the required systems
- There is a measurable operational outcome
Not ready to automate yet
- The process changes every week with no accountable owner
- The main requirement is an unbounded list of features
- No one can approve data access or operating decisions
- The expectation is fully autonomous AI without review
Next step
Start with the workflow causing the most friction.
Share the current process, systems involved, responsible owner and the outcome you want to improve.