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OAIO as an AWS EBA

Deliver Orion AI Outcomes as an intensive Experience-Based Acceleration engagement. Transform your AI strategy in one transformational week.

The EBA Advantage

AWS Experience-Based Acceleration (EBA) is a proven methodology for intensive, hands-on transformation engagements. Hundreds of enterprises have used EBA to achieve in days what traditionally takes months.


Why EBA for AI Strategy?

Traditional AI strategy consulting stretches across months of meetings, slide decks, and committee debates. The EBA model inverts this: immersive, co-located work produces better outcomes faster.

Traditional ApproachOAIO EBA Approach
9-12 weeks elapsed time1 week intensive + 2 weeks pre-work
Scattered attention across prioritiesDedicated focus, cross-functional alignment
Sequential stakeholder buy-inParallel engagement, real-time decisions
Deliverables arrive weeks after sessionsWalk out with completed artifacts
Momentum fades between touchpointsIntensity creates lasting change

The OAIO EBA Structure

Pre-Work (2 Weeks Before)

Minimal virtual preparation maximizes onsite productivity:

ActivityDurationOutput
Kickoff call1 hourScope confirmation, logistics
Superintelligent survey deployment10-15 min per employeeOrganizational signal data
Executive pre-read distributionSelf-pacedPrimed participants
Data inventory preparationInternalReady for Pillar 2

Survey as Catalyst: The Superintelligent survey runs during the two weeks before the onsite. By the time the team arrives, we have organizational-wide signal about where AI can help, what barriers exist, and which opportunities have natural champions.


The Intensive Week (4-5 Days Onsite)

Day 1: Discovery and Prioritization (Pillar 1)

Morning: Survey Reveal and Hypothesis Validation

  • Present Superintelligent synthesis: what the organization really thinks about AI
  • Surface surprising insights that leadership didn't anticipate
  • Validate or adjust executive hypotheses against employee reality

Afternoon: 5-Lens Prioritization Workshop

  • Apply structured evaluation to candidate AI opportunities
  • Score against: Technical Feasibility, Organizational Readiness, Business Value, Risk Profile, Time to Value
  • Build consensus through evidence, not opinion

Evening Deliverable: Prioritized opportunity register with 2-3 selected agents and named business owners


Day 2: Data Reality Check (Pillar 2)

Morning: Data Mapping Sessions

  • For each selected agent, map required data sources
  • Identify data owners (names, not roles)
  • Surface access requirements and integration complexity

Afternoon: Readiness Assessment

  • Score each data source: Availability, Quality, Accessibility
  • Calculate agent readiness scores
  • Identify critical gaps and remediation paths

Evening Deliverable: Data readiness matrix with go/no-go recommendations per agent


Day 3: Governance Design (Pillar 3)

Morning: Permission Boundaries Workshop

  • Define what each agent CAN do, CANNOT do, and REQUIRES APPROVAL for
  • Assign human accountability for every AI action
  • Address shadow AI: create sanctioned paths

Afternoon: Trust Architecture

  • Design observability requirements (what must be visible)
  • Define escalation triggers and procedures
  • Draft sanctioned AI policy framework

Evening Deliverable: Governance framework with permission matrices and accountability assignments


Day 4: Experience and Economics (Pillars 4 and 5)

Morning: Interaction Design Sessions

  • For each agent, design the human-AI handoff
  • Define transparency requirements (confidence, explanations)
  • Build the "Experience Test" answer: Why would someone choose this?

Afternoon: Economic Modeling Workshop

  • Define economic thesis for each agent (cost reduction vs. revenue enablement)
  • Build 12-month cost forecasts with documented assumptions
  • Design financial controls (budget caps, circuit breakers, alerts)

Evening Deliverable: Experience specifications and economic models with CFO-ready documentation


Day 5: Integration and Roadmap (Exit)

Morning: Blueprint Assembly

  • Compile all artifacts into implementation-ready documentation
  • Validate completeness against engineering requirements
  • Identify handoff recipients and next steps

Afternoon: Executive Briefing and Commitment

  • Present complete blueprint to leadership
  • Secure implementation commitments
  • Define success metrics and review cadence

Final Deliverable: Complete OAIO Blueprint Package ready for implementation team handoff


The Transformation Effect

The EBA model creates transformation through intensity. Key mechanisms:

Cross-Functional Collision

  • Stakeholders who rarely interact work side-by-side for a week
  • Silos dissolve when people solve problems together
  • Relationships formed during intensity persist afterward

Decision Velocity

  • No waiting for the next meeting to resolve questions
  • Leadership present to make real-time calls
  • Blockers identified and addressed in hours, not weeks

Visible Progress

  • Each day ends with tangible deliverables
  • Participants see their work take shape
  • Momentum builds rather than fading

Commitment Through Co-Creation

  • Artifacts created together, not delivered to stakeholders
  • Ownership emerges from contribution
  • Implementation resistance reduced because people designed it

AWS Partner Economics

As an AWS Partner, Orion can access EBA funding to subsidize engagement costs:

ComponentStandard CostWith AWS EBA Funding
Pre-work and surveyIncludedIncluded
Intensive week (4-5 days)$75,000-100,000$35,000-50,000
Post-engagement supportOptionalOptional

Funding Eligibility:

  • Customer must be AWS customer or committed to AWS for AI workloads
  • Engagement must result in AI agent deployment on AWS (Bedrock, SageMaker, etc.)
  • AWS SA may participate in portions of the engagement

Ideal EBA Candidates

The intensive EBA format works best for organizations that:

  • Have clear AI interest but lack structured approach
  • Can commit cross-functional leadership for a full week
  • Are ready to make decisions, not just explore options
  • Want to move from strategy to implementation quickly
  • Value intensity over extended deliberation

Red Flags for EBA Format:

  • Leadership unavailable for full week commitment
  • Organization in crisis mode with competing priorities
  • Need extensive education before strategy work
  • Political dynamics require careful stakeholder sequencing

What Makes OAIO EBA Different

Unlike generic AI strategy engagements:

Evidence Over Opinion

  • Superintelligent survey provides organizational-wide signal
  • Decisions grounded in data, not executive assumptions
  • Prioritization framework forces explicit tradeoff conversations

Named Accountability

  • Every agent has a human owner by name
  • Every data source has a named steward
  • Every governance decision has assigned accountability

Implementation Ready

  • Deliverables designed for engineering handoff
  • Economic models include actual cost projections
  • Governance framework ready for policy drafting

Built for AWS

  • Architecture aligned with AWS AI services (Bedrock, SageMaker)
  • Economic models use AWS pricing
  • Governance patterns leverage AWS security controls

Sample Week Schedule

TimeMondayTuesdayWednesdayThursdayFriday
8:00-9:00Kickoff and Survey RevealData SynthesisGovernance SynthesisDesign SynthesisBlueprint Review
9:00-12:00Hypothesis ValidationData MappingPermission BoundariesInteraction DesignIntegration
12:00-1:00Working LunchWorking LunchWorking LunchWorking LunchWorking Lunch
1:00-5:005-Lens PrioritizationReadiness AssessmentTrust ArchitectureEconomic ModelingExec Briefing
5:00-6:00Day 1 Deliverable ReviewDay 2 Deliverable ReviewDay 3 Deliverable ReviewDay 4 Deliverable ReviewCelebration

Getting Started


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