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AF Global

AI and Intelligent Automation

Deploy AI and digital workers where real work happens.

AF Global combines AI agents, software robots, business rules and human control to execute operational work with traceability and accountability.

Identify an AI Automation OpportunityExplore the Operating Model

Humans, agents and robots

Humanreview · approveAI Agentread · classifyOrchestrationrules · evidenceSoftware Robotexecute · reconcile

Problem

AI creates value when it is connected to a governed operation.

  • Isolated pilots that never reach production
  • Chat interfaces without process execution
  • Uncontrolled decisions
  • No reliable data or documents
  • No human review for sensitive actions
  • Limited traceability
  • Automation that stops at recommendations
  • Robots without exception management

AF Outcome

AI connected to the operation.

AF does not treat AI as an isolated assistant. We connect it to the process, systems, documents, people and controls required to produce an operational result.

Capabilities

What AF brings together on this solution.

  • AI Agents

    • Reading and understanding documents
    • Classification
    • Information extraction
    • Summarization
    • Prioritization
    • Drafting
    • Operational recommendations

  • Software Robots

    • Repetitive application work
    • Data entry
    • System navigation
    • File processing
    • Reconciliation
    • Scheduled operational tasks

  • Human-in-the-Loop Control

    • Review
    • Approval
    • Exceptions
    • Escalation
    • Sensitive decisions
    • Quality control

  • Process Orchestration

    • Triggers
    • Tasks
    • Rules
    • Deadlines
    • Evidence
    • Notifications
    • Complete operational history

  • Governance

    • Permissions
    • Traceability
    • Approved data sources
    • Model or agent boundaries
    • Error management
    • Performance monitoring

How AF delivers

How AF puts AI and digital workers into operation.

  1. 01

    Trigger

  2. 02

    Gather information

  3. 03

    Understand or classify

  4. 04

    Apply rules

  5. 05

    Execute an action

  6. 06

    Request human review when required

  7. 07

    Record evidence and continue

Differentiation · Diferenciación

AF does not treat AI as an isolated assistant. We connect it to the process, systems, documents, people and controls required to produce an operational result.

AF no trata la inteligencia artificial como un asistente aislado. La conecta con el proceso, los sistemas, los documentos, las personas y los controles necesarios para producir un resultado operativo.

Ecosystem

How AF companies and products combine.

Not every project requires all companies or products. AF composes the right combination for each context.

AF Robotics

AI agents and software robots

BPMS.Ai

Governed process orchestration

Ariafina

Engineering and integration

AF Automation Force

Process design and implementation

AF Global

End-to-end accountability

Use cases

Where AI agents and digital workers are applied.

  • Document reading and classification

    Structured extraction from letters, contracts and case files.

  • Fraud review support

    Signal detection and prioritization for human analysts.

  • Opportunity identification and prioritization

    Ranking and routing relevant items into commercial workflows.

  • Customer and case triage

    Faster classification and assignment across incoming demand.

  • Data reconciliation

    Automated matching across systems with exception queues.

  • Report preparation

    Recurring reports assembled from validated sources.

  • Evidence collection

    Automated capture and attachment against a case or process.

  • Repetitive system transactions

    Robots executing routine work in existing applications.

  • Operational monitoring

    Continuous observation with governed alerting.

  • Drafting responses with human review

    AI drafts a response, a person approves before sending.

Evidence

Where AF has done this kind of work.

We only reference validated engagements. Additional cases are shared under NDA on request.

Future case

TuBoleta — fraud automation

Prepared engagement related to fraud detection support. Detailed logic and results are not published.

Envigado

Governed automation inside a public operation

AF operates automation within a critical inherited public ecosystem with defined controls and evidence.

FAQ

Common questions — AI and Intelligent Automation.

What is the difference between an AI agent and a software robot?
An AI agent reads, understands and reasons over information; a software robot executes repetitive actions in applications. AF often combines both.
Does every action happen automatically?
No. Sensitive actions require human review — the orchestration decides when.
Can humans approve sensitive decisions?
Yes. Human-in-the-loop review, approval and exception handling are core to the model.
Can AI work with existing systems?
Yes. Agents and robots are integrated with the applications the operation already relies on.
How is traceability maintained?
Every trigger, decision, action, exception and human review is recorded against the process.
Can AF begin with a single use case?
Yes. Most AF engagements start with a specific use case and expand from there.

Related

Talk to AF

Where should AI and digital workers begin?

Describe the work you want assisted or automated — an AF specialist will evaluate feasibility and governance.

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