Automate and understand
Automation you can inspect, and override.
At a glance
- Best for
- Teams buried in forms, invoices, CVs and documents that need reading, checking and routing
- Typical engagement
- [XYZ: confirm]
- Typical duration
- [XYZ: confirm]
- Team
- [XYZ: confirm]
The problem
Where this costs you time.
Documents read by hand
Forms, invoices and CVs are re-typed into systems, slowly and with errors.
Routine checks that eat the day
Skilled people spend time on checks a system could prepare.
AI nobody can explain
Automation that cannot show its working is hard to trust or audit.
What we do
Capabilities
Document extraction
Read and structure fields from forms, invoices and CVs, with confidence shown.
Workflows with human review
Nothing posts without a person’s sign-off where it matters.
Knowledge assistants
Answers drawn from your own documents, with scoped access.
Predictive analytics
Forecasts and flags with explained outputs.
Controls and audit log
Every automated step is recorded and reviewable.
Evaluation and improvement
Accuracy measured on your data, and improved over time.
Benefits
What changes when this works.
Outcomes we design for. Measured results appear only after a client confirms them.
- Less manual re-typing and checking
- A person stays in charge of every decision that matters
- Every automated step can be inspected and audited
- Accuracy measured on your own documents
Process
How ai and intelligent automation engagements run.
Stage 1
Discover and Diagnose
Business, workforce and compliance analysis.
Tech deliverablesProcess map, data-flow map, risk registerStage 2
Design and Align
Solution architecture, operating models, integration planning.
Tech deliverablesArchitecture, prototype, test planStage 3
Implement and Enable
Deployment, onboarding, system validation, change management.
Tech deliverablesBuild, integrate, test, trainStage 4
Govern and Optimize
Continuous compliance monitoring, reporting, automation and enhancement.
Tech deliverablesMonitor, support, improve
Technologies
Tools we would use.
Models
- [CONFIRM: model providers]
- Retrieval
- OCR
Platform
- Python
- TypeScript
- PostgreSQL
Controls
- Human review
- Audit logging
- Role-based access
Industries
Where this matters most.
Oil and gas
Read contractor documents and flag expiries, with a person approving.
Pharmaceuticals
Prepare records for review with a traceable history.
Chemicals and fertilizers
Summarise shift and incident reports for supervisors.
Related
Where this connects.
- Data and analyticsOne version of the numbers.
- Dashboards and MIS
- Data modelling
- Data-quality rules
- Process automation and RPARepetitive work, done by software.
- Robotic process automation
- Workflows and reminders
- Scheduled jobs and integrations
- Our platformStellar Core connects people, payroll and compliance.Explore Stellar Core
FAQ
Questions we hear.
Answers are drafted for review. Anything that needs a fact from Stellar is marked.
Have a business challenge worth solving?
Tell us what you're trying to fix. An engineer will reply, not a form robot.