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Q1 2025 pilots openBook discovery call
OMIRA LogoWordmark “OMIRA” with the original abstract emblemOMIRA

A structured, risk-managed approach to AI deployment

Our methodology prioritizes measurable outcomes, compliance, and reliability. We start with ROI modeling, deliver a focused pilot, and scale with monitoring and human-in-the-loop safeguards.

2-3

Weeks for discovery

~30

Days to a pilot

35-90

Days for production

Phased

Minimize disruption

Our methodology

Three pillars that guide every implementation.

Risk Mitigation First

  • Parallel system deployment (old and new run together)
  • Gradual cutover with rollback capabilities
  • Extensive testing in non-production environments
  • 24/7 monitoring during transition periods

Change Management

  • Executive alignment and communication
  • Department-specific training programs
  • Change champion identification
  • Continuous feedback loops

Iterative Optimization

  • Weekly performance reviews first month
  • Monthly optimization cycles
  • Quarterly strategy alignment
  • Annual technology roadmap updates

Implementation phases

From discovery to production, step by step.

1

Discovery

2-3 weeks

Map workflows, define success metrics, model ROI

Activities

  • Stakeholder interviews and process mapping
  • Technical assessment and system analysis
  • AI solution design and architecture
  • Implementation planning and approval

Deliverables

Current state documentationTechnical architectureProject plan
2

Pilot

4-8 weeks

Build and deploy on one workflow with guardrails

Activities

  • AI agent development and training
  • System integration and API development
  • Security and compliance implementation
  • User acceptance testing

Deliverables

Working pilotIntegration testsPerformance benchmarks
3

Rollout

8-12 weeks

Scale across teams with training and monitoring

Activities

  • Production deployment and monitoring setup
  • Team training and change management
  • Performance monitoring and optimization
  • Success validation and handover

Deliverables

Live systemTraining completionSupport documentation

Success factors

What predicts successful AI deployment and high ROI.

Executive Sponsorship

Critical

C-level champion who communicates vision and removes barriers

Cross-Functional Team

High

Representatives from IT, Operations, and End Users

Clear Success Metrics

High

Defined, measurable outcomes agreed upon before start

Data Quality

Medium

Clean, accessible data accelerates everything else

Ready to start?

Schedule a 90-minute assessment call and we'll create a customized implementation roadmap for your business.