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Our Delivery Model

We don't advise from the sidelines. We build with you.

Every Agilityx engagement pairs purpose-built AI agents with senior consultants. AI handles the heavy lifting — data profiling, code generation, testing, documentation — while our people focus on strategy, relationships, and creative problem-solving.

Phase 1: Discovery & Strategy

1-2 weeks 4-8 weeks traditional traditional

Your entire data landscape is profiled and a strategic roadmap is built in days, not months.

AI Agents Handle

  • Automated data profiling across all sources
  • Schema analysis and dependency mapping
  • Data quality scoring and anomaly detection
  • Scope recommendation generation
  • Risk assessment based on historical patterns

Consultants Focus On

  • Business objective alignment
  • Stakeholder interviews and prioritization
  • Strategic roadmap definition
  • Success criteria and KPI setting

Phase 2: Architecture & Design

1-2 weeks 3-6 weeks traditional traditional

Target architecture is modeled, validated, and documented with best practices built in.

AI Agents Handle

  • Target architecture modeling and simulation
  • Configuration optimization analysis
  • Migration blueprint generation
  • Compatibility and risk assessment
  • Best practice enforcement from pattern library

Consultants Focus On

  • Architectural decision validation
  • Trade-off analysis and executive alignment
  • Governance and security review
  • Ecosystem integration planning

Phase 3: Implementation & Migration

4-8 weeks 16-36 weeks traditional traditional

Code is generated, data is migrated and validated at scale — with precision no manual team can match.

AI Agents Handle

  • Migration code generation
  • ORM mapping conversion
  • Data integrity validation across billions of rows
  • Automated regression testing
  • Real-time error detection and remediation

Consultants Focus On

  • Migration execution oversight
  • Edge case and exception handling
  • Cross-team coordination
  • Quality assurance and sign-off

Phase 4: Optimization & Monitoring

Ongoing "Project complete" traditional traditional

Your systems are continuously monitored and optimized — not abandoned after go-live.

AI Agents Handle

  • Performance monitoring and alerting
  • Anomaly detection
  • Query optimization recommendations
  • Cost optimization analysis
  • Drift detection

Consultants Focus On

  • Performance interpretation and strategic tuning
  • Optimization prioritization
  • Stakeholder reporting
  • Long-term roadmap adjustment

Phase 5: Documentation & Knowledge Transfer

1 week 4-6 weeks traditional traditional

Your team inherits comprehensive, auto-generated documentation and is fully self-sufficient.

AI Agents Handle

  • Auto-generated technical documentation
  • Runbook creation
  • Data dictionary generation
  • Training material production
  • Knowledge base population

Consultants Focus On

  • Knowledge transfer sessions
  • Team training and enablement
  • Handoff planning
  • Ongoing support scoping

Traditional Consulting vs. Agilityx

Dimension Traditional Consulting Agilityx (Full Stack AI)
Discovery timeline 4-8 weeks 1-2 weeks
Implementation team 15-20 consultants 4-6 consultants + AI agents
Data validation Sample-based, manual 100% automated, every row
Code generation Manual, error-prone AI-generated, human-reviewed
Documentation Created post-project (if at all) Auto-generated throughout
Post-deployment Project ends Continuous monitoring
Typical project duration 9-18 months 8-16 weeks

See this model applied to your data challenge.

Book a discovery call and we'll walk through exactly how the Build With model would work for your specific situation.