Kamiwaza

AI Accelerator Program

kamiwaza.ai

Kamiwaza AI Accelerator Program

Program Overview

The Kamiwaza AI Accelerator is a 5-day, on-site program. It’s designed to help you quickly identify and implement high-value artificial intelligence (AI) outcomes using Kamiwaza’s distributed intelligence platform. It combines strategic planning, technical implementation, and knowledge transfer to deliver immediate business value—while also establishing a foundation for continued, transformational AI use.

Program Objectives

1. Identify 1-3 high-impact business outcomes achievable within 5 days
2. Implement these outcomes using Kamiwaza’s distributed intelligence platform
3. Transfer knowledge to customer teams for ongoing management and expansion
4. Establish metrics for measuring success and return on investment (ROI)
5. Create a roadmap for future AI initiatives

Key Value Proposition

The Kamiwaza AI Accelerator Program transforms how enterprises approach AI implementation by:

1. Eliminating the data consolidation barrier: Implementing AI across distributed data environments without costly data movement
2. Delivering guaranteed business outcomes: Focusing on specific, measurable business results rather than just technology deployment
3. Accelerating time-to-value: Compressing what would typically be months of implementation into 5 days of focused effort
4. Building internal capability: Transferring knowledge to customer teams for ongoing management and expansion
5. Providing strategic direction: Creating a roadmap for future AI transformation aligned with business priorities

Preparation Work

In preparation for the on-site program, and to maximize its impact, customers and the Kamiwaza team should complete the following:

Customers

• Complete data landscape questionnaire, identifying key repositories, systems, and security domains
• Share relevant documentation on priority business processes
• Identify key stakeholders and ensure their availability during the on-site program
• Provide secure access credentials for relevant systems, when appropriate
• Review and sign data processing agreements
• Complete stakeholder interviews with the Kamiwaza team

Kamiwaza

• Review customer data landscape and documentation
• Conduct remote discovery sessions with key stakeholders
• Prepare initial outcome candidates based on discovery
• Configure the baseline Kamiwaza environment
• Prepare implementation templates for common use cases
• Develop a custom agenda based on customer priorities

Prerequisites and Requirements

For a successful accelerator program, customers should:

• Ensure the executive sponsor is committed and available
• Set up access to relevant systems and data sources
• Get appropriate security clearances and approvals in place
• Secure a meeting room with projection capabilities for the duration of the program
• Secure a workspace for the Kamiwaza team
• Prepare remote or local access to required infrastructure

On-Site Structure: Itinerary

Day 1: Discovery and Prioritization

Morning: Strategic Alignment

• 08:30–09:00: Welcome and program overview
• 09:00–10:30: Executive vision session, including aligning AI with business goals
• 10:45–12:00: Data landscape review to understanding the distributed ecosystem
• 12:00–13:00: Lunch with leadership team

Afternoon: Outcome Identification

• 13:00–15:00: Outcome workshop, where we identify and prioritize potential AI use cases
• 15:15–16:30: Selection and scoping of 1-3 outcomes for implementation
• 16:30–17:30: Success metrics definition and implementation planning

Deliverables

• Prioritized outcome selection document
• Implementation plan with timelines and responsibilities
• Success metrics framework

Day 2: Technical Foundation and First Outcomes

Morning: Platform Deployment

• 08:30–09:00: Day 2 kickoff and alignment
• 09:00–10:30: Kamiwaza architecture and deployment overview
• 10:45–12:00: Environment configuration and connectivity validation
• 12:00–13:00: Lunch with technical team

Afternoon: First Outcome Implementation

• 13:00–14:30: Data source mapping and access configuration
• 14:45–16:00: Initial implementation of first outcome
• 16:00–17:30: Progress review and adjustment

Deliverables

• Operational Kamiwaza environment
• Data source connectivity map
• Initial implementation of first outcome

Day 3: Implementation Acceleration

Morning: First Outcome Completion

• 08:30–09:00: Day 3 kickoff and alignment
• 09:00–10:30: Continued implementation of first outcome
• 10:45–12:00: Testing and refinement
• 12:00–13:00: Lunch and first outcome demonstration

Afternoon: Outcome Identification

• 13:00–15:00: Second outcome setup and initial implementation
• 15:15–17:00: Continued implementation and testing
• 17:00–17:30: Progress review and planning

Deliverables

• Completed first outcome implementation
• Significant progress on second outcome
• Implementation documentation

Day 4: Expansion and Knowledge Transfer

Morning: Multi-Outcome Progress

• 08:30–09:00: Day 4 kickoff and alignment
• 09:00–10:30: Second outcome completion and validation
• 10:45–12:00: Third outcome implementation (if applicable)
• 12:00–13:00: Lunch and outcomes demonstration

Afternoon: Knowledge Transfer

• 13:00–14:30: Administration and management training
• 14:45–16:00: Troubleshooting and optimization techniques
• 16:00–17:30: Hands-on lab for customer team

Deliverables

• Completed second outcome implementation
• Progress on third outcome (if applicable)
• Knowledge transfer documentation
• Trained customer administrators

Day 5: Finalization and Future Planning

Morning: Implementation Completion

• 08:30–09:00: Day 5 kickoff and alignment
• 09:00–10:30: Final implementation and testing of all outcomes
• 10:45–12:00: Performance optimization and security review
• 12:00–13:00: Lunch with expanded stakeholder group

Afternoon: Measurement and Roadmap

• 13:00–14:30: Metrics implementation and baseline measurement
• 14:45–15:45: Future roadmap development workshop
• 15:45–16:30: Executive summary presentation
• 16:30–17:00: Next steps and program conclusion

Deliverables

• Completed implementation of all targeted outcomes
• Performance metrics dashboard
• AI transformation roadmap
• Executive summary presentation

Outcome Implementation Templates

To accelerate implementation, the program leverages pre-built templates for common enterprise use cases. These include the following:

Document Processing Accelerator

• PDF/document ingestion pipeline
• Entity extraction and classification
• Metadata enrichment
• Business process integration

Knowledge Discovery Accelerator

• Multi-source data connection
• Entity relationship mapping
• Knowledge graph construction
• Query and search capabilities

Workflow Automation Accelerator

• Process mapping and analysis
• Cross-system orchestration
• Agent configuration for specific tasks
• Metrics and monitoring implementation

Analytics Implementation Accelerator

• Distributed data source connection
• Visualization setup
• Analysis pipeline configuration
• Alert and notification configuration

Team Structure

Kamiwaza Team (2-5 members)

• Program Lead: Manages the overall program and executive engagement
• Technical Lead: Manages technical implementation and architecture
• 1-3 Generative AI Engineers: Implements specific outcomes and provides training
• Industry Specialist (optional): Based on customer domain

Customer Team (recommended)

• Executive Sponsor: Provides strategic direction and removes barriers
• Business Stakeholders: Subject matter experts from relevant departments
• IT/Data Representatives: Provides access to systems and data expertise
• Future Administrators: Team members who will manage the solution
• End Users: Representatives who will use the implemented outcomes

Post-Accelerator Support

Following the on-site program, Kamiwaza provides continued support to ensure successful adoption:

• 2 weeks of remote implementation support
• Bi-weekly check-in calls for the first month
• 30-day review session to measure outcome performance
• Access to the Community edition of Kamiwaza and the Kamiwaza knowledge base
• Option to convert to ongoing managed outcome subscription

Measuring Success

The accelerator includes implementation of clear success metrics:

• Quantitative metrics: Time saved, error reduction, and cost savings
• Qualitative metrics: User satisfaction, ease of use, and knowledge access
• Business impact: Revenue influence, decision quality, and compliance improvement
• Technical performance: Response time, accuracy, and system performance

These metrics will be tracked from implementation through post-accelerator adoption to demonstrate clear ROI.