Use Cases

Back Office

Process intelligence for Back-Office optimization

Initial project approach

The challenge

Achieving real-time visibility into complex processes to identify inefficiencies and improvement opportunities.

This included:

  • Fragmented processes across multiple systems and departments
  • Low traceability of times, tasks, and operational states
  • Difficulty identifying friction points and bottlenecks
  • High manual workload and reactive analysis models

Objective

  • Optimize Back-Office processes through advanced process intelligence
  • Identify operational deviations and bottlenecks
  • Reduce execution times and improve operational efficiency
  • Enable continuous, data-driven decision-making

Contexto del sector

Las operaciones de Back Office gestionan grandes volúmenes de tareas manuales y procesos distribuidos entre múltiples sistemas y equipos. Esta complejidad reduce la visibilidad operativa, ralentiza la ejecución y dificulta identificar ineficiencias y oportunidades de mejora.

Por ello, las compañías necesitan soluciones capaces de analizar sus operaciones y optimizar procesos basándose en datos.

El desafío

Achieving real-time visibility into complex processes to identify inefficiencies and improvement opportunities.

This included:

  • Fragmented processes across multiple systems and departments
  • Low traceability of times, tasks, and operational states
  • Difficulty identifying friction points and bottlenecks
  • High manual workload and reactive analysis models

Objetivo

  • Optimize Back-Office processes through advanced process intelligence
  • Identify operational deviations and bottlenecks
  • Reduce execution times and improve operational efficiency
  • Enable continuous, data-driven decision-making

Impact

+70%

increase in human-team productivity

-95%

processing time

100%

traceable and auditable actions

-40%

direct operational costs

Así es cómo lo resuelve Alan

Alan Process Intelligence is deployed as a cognitive layer over back-office operations.

Through its ability to understand text documents and interpret context, it:

  • Interprets information provided in multiple formats
  • Extracts and standardizes unstructured information
  • Cross-checks data across multiple internal systems
  • Executes approvals directly within internal systems
  • Interprets information provided in multiple formats
  • Extracts and standardizes unstructured information
  • Cross-checks data across multiple internal systems
  • Executes approvals directly within internal systems

How Alan solves it

Alan Process Intelligence is deployed as a cognitive layer over back-office operations.

Through its ability to understand text documents and interpret context, it:

Interprets information provided in multiple formats

Extracts and standardizes unstructured information

Cross-checks data across multiple internal systems

Executes approvals directly within internal systems

Critical processes that once caused delays and operational risks are now transformed into real-time intelligent decisions workflows.

CX Insights

Quality analysis and business intelligence reports.

AlanX

Cognitive copilot for human advisors

Real-time assistance for human agents.

HiveAcademy

AI-powered agent training platform

Continuous training and performance improvement for human agents and the system.

Kira

Metahuman AI agent

Metahuman assistant for query resolution.

SideKick

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Cognitive support for complex case resolution and decision-making.

Charli

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End-to-end support across digital channels.

Voxi

Cognitive voice agent

Voice-based support with autonomous reasoning and full query resolution.