MAIA by ids

MAIA — Modular AI for Innovation & Acceleration

Enterprise AI ramework designed to accelerate the software lifecycle through governance, automation, and specialized agents.

La IA ya llegó a los equipos de desarrollo — pero llegó sin método.

Sin estándares

Sin estándares

Sin trazabilidad

Sin trazabilidad

Sin métricas

Sin seguridad

Riesgos de seguridad

Sin métricas

Calidad inconsistente

Calidad inconsistente entre equipos

MAIA by ids

AI framework to accelerate the software lifecycle.

MAIA integrates specialized agents, intelligent automation, governance, and enterprise standards to empower analysis, development, QA, security, and technology modernization teams.

Speed Potential acceleration for teams empowered by AI.
Quality Greater consistency across testing, deliverables, and validations.
Governance Traceability, human checkpoints, and enterprise standards.
MAIA by ids
The challenge

AI needs more than prompts. It needs a framework.

The organizations leading the next era will not be those using the most AI, but those integrating it with structure, security, and traceability.

Standardization

Consistent prompts, artifacts, and practices across teams.

SDLC Integration

AI connected across the entire software lifecycle.

Governed AI

Integrated security, compliance, and human checkpoints.

Measurable AI

Metrics for productivity, quality, adoption, and value.

What is MAIA?

The operational framework that brings discipline to enterprise AI.

MAIA is not an isolated tool. It is a framework that organizes agents, shared skills, human checkpoints, and industry standards to accelerate analysis, design, assisted development, testing, security, and documentation.

Specialized agents

Analyst, Developer, QA, and Security — each with a defined role within the lifecycle.

Shared skills

Reusable capabilities for estimation, ADRs, BDD, testing, and documentation.

Diagrama MAIA

MAIA Coordination Layer

Coordinates context, artifacts, agents, metrics, and human approvals to maintain end-to-end traceability.

HITL Checkpoints

AI accelerates, but people validate, refine, and approve every phase.

Enterprise standards

Quality, security, architecture, and documentation practices integrated into the framework.

Intelligence Layers

Intelligence Layers integrated into the software lifecycle.

Coordinated capabilities that work together to accelerate development, quality, security, and AI governance through a shared operating model.

Layer 01

Requirements & Discovery

What it enables

  • Requirement refinement using natural language.
  • Identification of risks, dependencies, and assumptions.
  • Support for user stories and BDD criteria.

Expected outcomes

  • Clearer and more traceable requirements.
  • Risks identified from early stages.
  • Better alignment between business and technology.
Layer 02

Development · QA · Delivery

What it enables

  • Assisted development aligned with engineering standards.
  • Testing practices integrated from early stages.
  • Greater continuity across development, QA, and delivery.

Expected outcomes

  • More consistent deliverables.
  • Less rework between phases.
  • Greater technical traceability.
Layer 03

Quality & Observability

What it enables

  • Support for test scenarios and test cases.
  • Tracking quality, coverage, and productivity.
  • Visibility into progress through dashboards and metrics.

Expected outcomes

  • Greater visibility for leaders and teams.
  • Data-driven decision-making.
  • Continuous improvement across every phase of the lifecycle.
Layer 04

Security & Compliance

What it enables

  • Security review from the design phase onward.
  • Alignment with best practices and applicable standards.
  • Support for compliance evidence and traceability.

Expected outcomes

  • Reduced exposure to technical risks.
  • Greater consistency in security controls.
  • Clearer evidence for review and auditing.
MAIA Lifecycle Persistent context · End-to-end traceability · Integrated governance · Phase-based metrics
MAIA Lifecycle

From isolated copilots to integrated and traceable intelligence.

MAIA connects every phase of the software lifecycle through governance, reusable skills, human checkpoints, and measurable outcomes.

1

Strategy

Business objectives, AI roadmap, and strategic priorities.

2

Analysis

Requirements, use cases, impact, and feasibility.

3

Generation

AI-assisted development, documentation, and technical artifacts.

4

Validation

HITL checkpoints, quality, security, and compliance.

5

QA & Testing

AI-assisted testing, coverage, and early defect detection.

6

Security

Best practices, risk assessment, and secure-by-design principles.

7

Deployment

Continuous delivery, version control, and operational readiness.

8

Metrics

Productivity, quality, adoption, and business value generated.

Without MAIA vs. With MAIA

MAIA empowers agile teams. It doesn’t replace them.

The traditional team structure remains in place. What changes is the capability, consistency, and visibility of each role.

PLProject Leader

Without MAIA

Coordinates deliveries and stakeholders with limited visibility into AI usage.

With MAIA

Gains phase-level visibility, adoption metrics, and progress indicators.

TLTechnical Leader

Without MAIA

Defines architecture and technical decisions manually for each initiative.

With MAIA

MAIA supports technical proposals and ADR generation. The technical leader validates, adjusts, and approves them.

BABusiness Analyst

Without MAIA

Captures requirements and transforms them into project artifacts.

With MAIA

MAIA supports requirements refinement and user story generation. The BA validates and prioritizes them.

DEVDevelopers

Without MAIA

They develop, troubleshoot, and maintain software using individual AI-assisted practices.

With MAIA

MAIA accelerates AI-assisted development and testing. The developer reviews, adjusts, and signs off on quality.

QAQA Engineer

Without MAIA

Creates test cases, manages regression testing, and validates quality manually.

With MAIA

MAIA supports test scenario generation. QA focuses on exploratory validation and final approval.

Operating Model

How We Implement It: MAIA CoE + MAIA Tribes.

Two parallel pillars: one defines the methodology, enables governance and training; the other applies MAIA in real-world initiatives.

CoE MAIA

MAIA CoE

Cross-functional structure that governs, enables, and evolves the MAIA operating model.

  • efines standards, policies, and best practices.
  • Maintains the skills and agents library.
  • Enables teams through workshops and champion programs.
  • Tracks adoption, quality, and value metrics.
MAIA Tribus

MAIA Tribes

Execution teams that apply MAIA in real-world initiatives and generate scalable learnings.

  • Squads apply the MAIA framework in real-world projects.
  • Share patterns and learnings with the CoE.
  • Connect operational metrics with monitoring dashboards.
  • Scale adoption across teams, technology stacks, and projects.
01

Pilot

Initial controlled rollout with early adopter teams.

02

Champions

Technical leaders identified and enabled.

03

Training

Workshops by role, technology stack, and delivery phase.

04

Scaling

Continuous adoption across teams and projects.

AI Governance

Governance embedded in each phase of the SDLC.

MAIA transforms AI into a controllable, scalable, and measurable capability through governance policies, metrics, auditing, security, and compliance.

Policies

Defines usage, validation, and approval criteria for AI-assisted initiatives.

HITL Approvals

Human checkpoints to validate progress, quality, and compliance at every phase.

Metrics

Adoption, productivity, quality, and value indicators visible to teams and leadership.

Auditability

Traceability of artifacts, validation criteria, and key lifecycle decisions.

Compliance

Alignment with best practices, corporate standards, and industry requirements.

Usage Optimization

Visibility to manage AI resources, adoption, and operations responsibly.

Industries

Applicable to industries with high demands for control, quality, and scalability.

MAIA can adapt to organizations that need to accelerate software delivery without compromising security, traceability, or compliance.

Banking

Modernization, traceability, security, and regulatory compliance.

Retail

Delivery speed, automation, and digital experiences.

Governance

System modernization, efficiency, and operational transparency.

Telecom

Scalability, automation, and continuous operations.

Insurance

Quality, data, compliance, and acceleration of digital products.

Manufacturing

Automation, integration, and technology modernization.

Energy

Critical operations, security, continuity, and efficiency.

Services

Productivity, quality, and acceleration of digital capabilities.

Expected Benefits

From AI experimentation to measurable operational value.

MAIA helps connect AI adoption with quality, speed, visibility, and continuous improvement across software teams.

More Efficient QAAI-Assisted Testing

Support for test scenarios, validation criteria, and quality assurance processes.

Greater VelocityMore Continuous Delivery Flow

Less friction between phases and improved continuity of artifacts.

Greater TraceabilityLifecycle Visibility

Tracking of key decisions, deliverables, and approvals.

Agile OnboardingReusable Knowledge

Living documentation and knowledge assets to accelerate onboarding.

How to Get Started

Three ways to start with MAIA. You choose the pace.

You don’t need to commit to the entire journey from day one. We start where it makes the most sense for your organization.

Start Here

Assessment

Initial Assessment
  • AI maturity and current capabilities assessment.
  • Gap analysis and quick wins identification.
  • Preliminary roadmap and business case.
Focused Pilot

MAIA Module

Capability-Based Implementation
  • AI-assisted testing.
  • Documentation and traceability.
  • AI-assisted legacy modernization.
Full Scale

MAIA Implementation

End-to-End Adoption
  • End-to-end operating framework.
  • CoE + MAIA Tribes fully configured.
  • Governance and metrics in operation.

Ready to bring discipline to enterprise AI?

An exploratory session helps identify your organization’s context, current AI tools, key challenges, and the best starting point for implementing MAIA.

Explore the Potential of MAIA

¿QUÉ ES MAIA?

Un framework de IA disciplinado para el ciclo de vida del software.

MAIA es el framework operativo de IA de ids que integra agentes, governance y lifecycle en una misma arquitectura empresarial.
Integra análisis, desarrollo, QA, seguridad, documentación y métricas.

element modules maia ids
Vista general

MAIA es el framework operativo de IA de ids que integra agentes, governance y lifecycle en una misma arquitectura empresarial.

Integra análisis, desarrollo, QA, seguridad, documentación y métricas.

Resumen
ntelligence Layers

Soluciones inteligentes para tu operación

Integra tecnología, control operativo y trazabilidad en una experiencia moderna.

Ids Gdl Qro Mty

AI Strategy

Dirección y valor

Ids Gdl Qro Mty

AI Analysis

Entendimiento y descubrimiento

Ids Gdl Qro Mty

AI Insights

Datos accionables y observabilidad

Ids Gdl Qro Mty

AI Delivery

Desarrollo, testing y deployment inteligente.

Ids Gdl Qro Mty

AI Security

Protección y compliance.

Ids Gdl Qro Mty

AI Governance

Control, métricas y trazabilidad

Solución

Centro de Excelencia MAIA + Tribus MAIA.

-Gobernanza transversal, capacitación, métricas y squads especializados.

Beneficios clave

Mejora la operación con una estructura más ordenada.

  • Analysis
  • Desarrollo Asistido
  • QA & Testing
  • Security
  • Governance
  • Documentation
Metrics

Gobernanza y Compliance

Visualiza avances, eficiencia y disponibilidad de forma clara.

95%

OWASP

Seguimiento completo de actividades y evidencias.

40%

ISO 2700

Disminución de errores por procesos manuales.

24/7

PCI-DSS

Información disponible para consulta continua.

+30%

Auditability

Mejora en tiempos de atención operativa.

+30%

Metrics

Mejora en tiempos de atención operativa.

+30%

HITL Checkpoints

Mejora en tiempos de atención operativa.

Industries

Protección, control y evidencia

Organiza accesos, reduce riesgos y conserva trazabilidad para auditoría.

01

Banking

Permisos por usuario, rol o nivel operativo.

02

Retail

Registro de movimientos importantes dentro del proceso.

03

Governance

Resguardo de información sensible y control documental.

04

Telecom

Información disponible para revisión, cumplimiento y seguimiento.

04

Insurance

Información disponible para revisión, cumplimiento y seguimiento.

04

Manufacturing

Información disponible para revisión, cumplimiento y seguimiento.

04

Energy

Información disponible para revisión, cumplimiento y seguimiento.

Benefits

Beneficios clave

Mejora tu operación con una experiencia más clara, ágil y controlada.

ANALYSIS

Refinamiento inteligente de requerimientos y user stories.

DEVELOPMENT

Código asistido con estándares enterprise y trazabilidad.

QA & TESTING

Testing inteligente para acelerar calidad y cobertura.

SECURITY

Detección de vulnerabilidades y compliance OWASP.

GOVERNANCE

Métricas, trazabilidad y control de IA empresarial.

AUTOMATION

Automatización transversal del ciclo de vida del software.

MAIA by ids – Let’s Talk About AI
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© ids Your Lean & Agile It Solution. CMMI®5 · ISO 27001

© ids Your Lean & Agile It Solution. CMMI®5 · ISO 27001