Solution
Turn document-heavy processes into controlled pipelines with human review where it matters.
Extraction, classification, validation and routing for invoices, claims, contracts, forms and onboarding files, with confidence thresholds, exception queues and an audit trail.
The problem
What this costs today
- High volumes of documents are read, re-typed and checked by people, one at a time.
- Errors surface late, in the ERP or in front of the customer.
- Peaks create backlogs; hiring for peaks is expensive and slow.
The system
What Infinity Labs builds
Data → reasoning → action, with typed steps and explicit human control.
- InputInbound document
- AIClassify + extract
- DeterministicValidate vs. ERP rules
- Human approvalException review
- DeterministicPost to system
- OutputMonitor quality
- Document classification and structured extraction tuned to your document types.
- Validation against your systems of record: master data, prices, policies, business rules.
- Confidence thresholds that decide what flows automatically and what goes to a review queue.
- A reviewer interface that captures corrections and turns them into evaluation data.
- End-to-end traceability: which document, which version, which rule, who approved.
Outcomes
What changes for the business
Quantified results are published only with client approval. Until then, this is what the system is designed to change.
- Shorter cycle times from receipt to posting or decision
- Fewer downstream errors and reworks
- Capacity that scales with volume instead of headcount
- A defensible audit trail for every automated decision
Typical environments
- Invoices, purchase orders, remittances
- Claims, forms, KYC and onboarding files
- Contracts and amendments
- ERP, DMS and workflow tools
Capabilities involved
How to buy it
Next step
Is Document Intelligence the process to start with?
A Sprint scores it against the other opportunities in your operation, or we can go straight to a scoped build if the case is clear.