Intelligent Process Automation
Automate the processes that need judgment, not just clicks.
Intelligent automation that pairs RPA with document understanding, language models and decision models, for the variable, exception-heavy processes traditional bots break on.
01 · Overview
Bots break on real processes
Traditional RPA works for stable, rule-based tasks. Real processes aren’t like that: invoices arrive in a hundred formats, emails need interpreting, and cases need a judgment call. Exceptions pile up and automation stalls.
Built with
- Document AI
- Decision models
- RPA
Deployment
On-premise, private cloud or in-region.
02 · How it works
Understand, decide, act
- 1
Understand the inputs
Document AI and NLP read invoices, forms, emails and attachments, whatever their layout.
- 2
Make the decision
Classification and decision models route, approve within limits, or flag, each with a confidence score and reason.
- 3
Act across systems
APIs where they exist, and RPA where they don’t.
- 4
Humans handle exceptions
Low-confidence cases go to a person with everything prepared; their decisions train the models.
- Email, portal, scansAny format
- Document AI + NLPRead and classify
- Decision modelRoute · approve · flag
- API & RPA actionsCore systems
- Human review queueDecisions ↺ learning
03 · Capabilities
Processes we automate
- Invoice and accounts-payable processing
- Insurance claims intake and first assessment
- Customer onboarding and account set-up
- Email triage and response drafting
- HR onboarding and employee requests
04 · Outcomes
What we measure
- More straight-through processing
- Cases completed with no human touch
- Faster cycle time
- Time from receipt to completion
- Fewer errors
- Rework and correction rate
- Scalable capacity
- Volume handled without adding headcount
Example scenarios
Illustrative- Finance shared serviceEnd-to-end invoice processing with three-way matching.
- InsurerClaims document intake and triage.
- BankOnboarding document processing and account set-up.
- HR teamEmployee request triage and onboarding paperwork.
05 · Governance
Control & auditability
Controls built in
- Confidence thresholds you control
- Full audit trail of automated decisions
- Human review queues with SLAs
- Role-based access to every queue and action
Technology
- Python
- UiPath
- Automation Anywhere
- Playwright
- spaCy
- Transformers
- LLMs
- Airflow
- PostgreSQL
06 · FAQ
Common questions
Does this replace our RPA platform?
No. It adds understanding and decisions on top of the RPA tools you already use.
Which process should we start with?
One with high volume, clear outcomes and many exceptions, such as invoices or claims intake. We assess candidates in discovery.
What happens when the model is unsure?
The case goes to a person with the extracted data and the model’s reasoning attached, and their decision becomes training data.
Automate the hard 80%.
Start with one process and measure straight-through processing.
Start a project
