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IA AdministrativaAdministrative operationsAI agents · Enablement

Administrative agents that work alongside the team

Business technical brief 6 min read
DocumentTB-IAADM-2026
IndustryAdministrative operations
ConfidentialityProtected identity
Abstract

How can this operating challenge become an adoptable, measurable and sustainable system?

Repetitive administrative tasks consumed time better spent on decisions, customers and growth. We designed custom agents and an enablement program that takes teams from observation to autonomy. The organization can automate tasks and build internal capability to create new agents.

01
Business problem

Context and intervention hypothesis

Context

Repetitive administrative tasks consumed time better spent on decisions, customers and growth.

Hypothesis

We designed custom agents and an enablement program that takes teams from observation to autonomy.

02
Method

How the system was approached

  1. 01

    Observation of the current workflow and its friction points.

  2. 02

    Definition of users, decisions, rules and exceptions.

  3. 03

    Progressive design of the experience and critical modules.

  4. 04

    Operational validation before expanding scope.

03
Functional architecture

Four layers to operate and scale

01

Experience

Flows, roles, states and actions visible to each user.

02

Logic

Business rules, validations, exceptions and automation.

03

Integration

Connected data, external services and existing systems.

04

Operation

Traceability, ownership, monitoring and continuous improvement.

04
Findings

Technical and business implications

01

Agentes 24/7 became an operating capability of the system.

02

Co-creación became an operating capability of the system.

03

Capacitación became an operating capability of the system.

04

Escalabilidad became an operating capability of the system.

05
Measurement framework

Indicators for validating impact

AdoptionWorkflow use by role and stage
Cycle timeProcess duration from start to close
ExceptionsCases requiring manual intervention

Monitoring indicators are shown, not invented figures. Quantitative client data remains confidential.

06
Risk and control
  • Automation requires clear owners for exceptions and change.
  • Outcome quality depends on input data quality and discipline.
Conclusion

Strategic outcome

The organization can automate tasks and build internal capability to create new agents.

01 SOLUTION
Detail

The problem

The implementation

What is included
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