Decisioning

AI DECISIONING: Intelligent decisions powered by AI

AI Decisioning is an advanced solution that combines data analysis with artificial intelligence algorithms to improve business decision-making. This technology not only optimizes the analysis of large volumes of information but also enables decisions to be made in real-time, based on accurate insights and automated personalization. Companies can use AI decision-making in multiple areas, from marketing to operations by dynamically adjusting to business needs and customer behavior.

AI applied to decision-making has several key purposes and benefits:

Real-time decisions.

It automates decision-making by predictive analysis of real-time data, reducing response time to market changes and optimizing operational efficiency.

Advanced personalization

Tailoring offers and services based on customer behavior and preferences, significantly improving user experience and sales conversion.

AI applied to decision-making has several key purposes and benefits:

Cost optimization and operational efficiency

By automating processes such as inventory management, route planning, and customer segmentation, human errors are reduced and efficiency is maximized.

Data-driven decision making

Unifying and analyzing large volumes of data to provide critical insights to help make informed decisions with greater accuracy and lower risk.

Decisioning

Main Features

Specialized platform for decision management, based on real-time analysis and advanced decision logic

Data Management

Harness the power of AI for data management, make decisions with real-time information and establish optimised data processes.

Origination Decisions

Our AI helps you make decisions, ensuring accuracy and efficiency in credit approvals and loan processing.

Customer Management

Elevate customer management with AI, and make personalized decisions that improve customer satisfaction and loyalty.

Collections Strategies

Improve recovery rates with AI-powered collection strategies, and intelligent data-driven decisions to maximise efficiency and success.

Fraud Detection

Protect your business by making proactive decisions to prevent and mitigate risks.

Regulatory Management

Ensure compliance with any legal regulation, no matter how complex, thanks to our AI.

Practical examples of the use of our technology

Decisioning empowers industries to turn challenges into actionable strategies with precision and speed

Shops and marketing departments reap huge benefits from AI Decisioning
Problem
Retailers face the challenge of identifying customer preferences and adjusting their campaigns in real-time.
Solution
Using AI decision-making, companies can automatically personalize promotions and offers based on user behavior on different channels (web, social media, physical shops). This has led to a 20% increase in campaign conversion rates for some of our clients.
Financial institutions can make safer decisions with AI Decisioning
Problem
Financial institutions need to make credit decisions quickly and minimize the risk of fraud.
Solution
AI decision-making facilitates real-time analysis of credit applications, detects fraud patterns, and reduces delinquency risk through predictive algorithms. This has enabled banks to reduce their risk rates by 15%.
TRAVEL AGENCY: Brand management is covered by a decision model
Problem
Logistics companies need to optimize distribution routes and forecast demand.
Solution
With AI decision-making, companies optimize route planning and manage inventories more accurately, reducing costs.

Leader companies rely on our innovative AI-based technology

FREQUENTLY ASKED QUESTIONS

We answer the most frequently asked questions about this advanced technology

AI Decisioning is the use of artificial intelligence to automate and improve business decision-making, based on historical, current, and predictive data.

Thanks to AI, companies can analyze user behavior in real-time, allowing them to personalize interactions and offers based on their preferences and needs.

The main tools include machine learning algorithms, predictive analytics systems, and platforms such as Salesforce Einstein that enable seamless integration into the decision-making cycle. 

Sectors such as retail, finance, healthcare, manufacturing, and logistics benefit the most, as they need to make quick decisions based on large volumes of data.

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Inteligencia artificial y contact centers
Raquel García Salamanca

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