Interactive Decisions and Explanations
- Data-driven automation
- Traceable decisions
- Smart customer interactions
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Smart Decision Automation
Produce explainable results with a traceable logic. Generate questions in context to drive a dynamic form or a chatbot
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Smart Document Automation
Generate complex documents from conditional data-aware building blocks
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Goal-Oriented Process Automation
Minimize unnecessary work by performing only activities necessary to satisfy the goal at hand
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Make better decisions faster and generate complex documents
In a guided manner
Use a contextual questionnaire to capture the minimal information needed to take a decision or generate a document
In an automated way
Integrate decision and document automation APIs with your systems and databases
Provable documents and decisions
Automate in confidence:
No bugs: provable logic certified by a proof of correctness
No “garbage in, garbage out”: model realistic business data with robust validity constraints
Driven by your domain expertise
No limits: model complex documents covering a large number of business and legal situations
Your expert rules: generate content driven by legal reasoning, risk assessment and best practices
Maximize document acceptance: automatic verification of the formal constraints imposed by the document recipient
Deliver explainable results
In response to a customer complaint or an audit, obtain a detailed and transparent justification
Traceable results make it easy to understand the “why” based on recorded facts and logical steps
Enable batch processing
Whenever possible, eliminate manual data capture by integrating with data sources and backend systems
Acquire data on demand
When manual entry is needed:
Capture only the input data that is strictly necessary
Minimize the number of questions asked to a customer by identifying the required data incrementally and in context
Our solutions
(Re)inventing legal engineering
Transform your legal expertise into trusted executable software able to generate high fidelity documents from data
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Insurance fraud management
Model fraud patterns in a business friendly language. Ask for the minimal number of necessary questions to assess fraud safely
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Customer-centric process automation
Beyond customer intent detection, agree on a goal with the customer and automate service delivery in a goal-oriented fashion
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Get started
Leverage your business expertise to produce tailored document models at scale, automate with no errors
Document modeling
The NewRealEstate project: residential and business lease agreements
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Decision modeling
The Greenville project: legal eligibility requirements for public services
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