From outsourced processing to intelligent process outcomes
A reusable document operations layer
Document-heavy contracts stay hard to automate when client formats, templates, languages, tables and exceptions vary widely. This is the layer that absorbs that variation.
Client documents
Multiple layouts, languages and rule sets.
Reusable AI layer
Classification, extraction, validation and review.
Controlled delivery
Quality, exceptions and auditability.
Better outcomes
Scale, speed, quality and margin focus.
Typical BPO pain points
With IRIS AI Xtract, BPO providers can build a differentiated document operations layer that helps win, onboard and scale client processes faster — more work without linear headcount, validation and human-in-the-loop control, faster setup for new document use cases and a technology-led delivery proposition.
Every client brings different documents
Template-based capture becomes expensive when layouts and requirements vary.
Margins are under pressure
Automation must reduce manual handling while preserving service quality.
Client onboarding must be faster
Document analysis, field mapping and rule configuration cannot slow every new engagement.
Quality and compliance must be provable
BPOs need auditability, exception handling and measurable SLA performance.
AI must deliver value, not demos
Automation needs to reduce cost, improve speed, increase quality or support revenue outcomes.
Use cases across client contracts
Start where document variation and manual effort are highest, then reuse the same layer across clients, processes and countries.
Digital mailroom
Classify incoming documents and route them to the right process.
Accounts payable
Extract invoice, purchase order and line-item data, including complex tables.
Claims and forms
Process handwritten fields, tick boxes, corrections and supporting files.
Multilingual operations
Handle international letters, cross-border documents and country-specific formats.
Customer requests
Check whether all required information and documents are present.
Summarization and analysis
Interpret, summarize and analyze document content where appropriate.
Multi-channel intake
Scan, import and process paper and electronic documents.
Classification
Identify document types and route them to the right process.Freeform extraction
Capture fields without relying only on rigid templates.
Table extraction
Read and structure complex table information.Human-in-the-loop
Keep experts focused on exceptions and quality control.
Business validation
Use rules, context, plausibility, master data and AI logic.
Export and integration
Route data into downstream systems and process applications.
ROI measurement
Assess suitability and value before scaling automation.Validate one client-facing BPO use case
Start with one high-volume process where document variation, manual effort and quality requirements are visible enough to prove the business case.