AI Readiness Assessment
A practical framework helping mid-market companies turn AI possibilities into real business results.
Smart Assessment
We combine industry insights and hands-on guidance to find the AI opportunities that will make the biggest impact for your business.
Quick Implementation
Get from idea to working solution in 4-6 weeks, with a straightforward process that keeps things moving.
Practical Approach
Clear analysis and collaborative planning ensure your AI initiatives are both technically sound and business-smart.
Using our proven approach, we help you build a realistic 2025 AI action plan that fits your current capabilities and delivers real business value.
Smart AI Solutions Tailored for Mid-Market Growth
Experience a streamlined approach to AI adoption that perfectly balances powerful capabilities with practical implementation, designed to meet your specific mid-market needs.
Rapid Implementation
Start seeing results in weeks through our agile approach. We focus on quick wins that align with your immediate business needs while building momentum for future growth.
Smart Investment
Access practical AI solutions that fit your budget. Our carefully curated tools deliver meaningful impact while ensuring efficient use of your resources.
Growth-Ready Framework
Begin with essential solutions and expand naturally. Our adaptable approach lets you start small and scale smoothly as your AI comfort level grows.
Simplified Process
Take the complexity out of AI adoption with our straightforward methodology. We provide clear steps and practical guidance for sustainable success.
Join other forward-thinking mid-market companies who are enhancing their operations through our practical, results-focused AI solutions.
Week 1: Setting Your AI Foundation
The journey to successful AI implementation begins with a structured discovery phase. Through careful preparation, interactive workshops, and strategic planning, we align your business objectives with AI's transformative potential.
1
Gathering Essential Insights
We begin with a targeted assessment of your organization's AI readiness through our comprehensive questionnaire:
- Technology landscape and infrastructure capabilities
- Data quality and accessibility assessment
- Skills inventory and resource availability
- Strategic objectives and KPIs
Based on your responses, our team curates relevant AI use cases that match your industry and specific needs.
2
Collaborative Discovery Workshop
Our focused 90-minute interactive session brings key stakeholders together to:
- Establish clear roles and responsibilities
- Identify critical business challenges
- Explore transformative AI opportunities
- Select and prioritize high-impact use cases
- Define initial POC parameters
Through hands-on exercises, we document decisions and insights in real-time, ensuring alignment across your team.
3
Building Your Implementation Roadmap
Following our workshop, we set the stage for success with:
- Strategic data and documentation collection
- Executive validation of selected use cases
- In-depth technical feasibility review
- Comprehensive POC proposal development
- Clear timeline and resource planning
- Defined success metrics and milestones
This groundwork positions us perfectly for Week 2's strategic planning and execution phase.
Week 1 Meeting Agenda
1
Set Foundation and Vision
Launch meeting with focused team introductions and clear role definitions. Assess client's current position on the AI Maturity Model through interactive discussion. Establish specific, measurable objectives for the engagement with clear success criteria and timeline expectations.
2
Identify Strategic Opportunities
Map existing business challenges to potential AI solutions through structured discovery session. Share relevant industry case studies and success metrics from similar maturity-stage organizations. Focus on identifying opportunities that align with client's current capabilities and growth objectives.
3
Select High-Impact Initiatives
Utilize Impact-Feasibility Framework to evaluate and score potential AI initiatives. Consider key factors: business value, technical requirements, data readiness, and implementation complexity. Build consensus on 2-3 priority use cases for proof of concept through collaborative assessment.
4
Design Initial POC
Create comprehensive POC framework with clear success metrics and timeline. Map technical requirements including data needs, system integrations, and infrastructure dependencies. Develop risk assessment matrix and preliminary mitigation strategies to ensure smooth execution.
5
Plan Week 2 Activities
Assign specific preparation tasks to client and Riva teams with clear deadlines. Define data collection requirements and stakeholder engagement plan. Establish project communication protocols and schedule key follow-up meetings. Document and distribute detailed action items with designated owners.
Session 2: AI Solution Design and Implementation Planning
1
Quick Assessment Review
Review Week 1 findings with focus on immediate AI opportunities. Identify key systems and data sources that could benefit from AI enhancement. Map current workflows to determine quick-win AI integration points.
2
Stakeholder Alignment
Collect focused feedback on priority areas and immediate needs. Review existing data assets and accessibility requirements. Define practical success metrics that align with business goals.
3
Solution Design
Create streamlined solution blueprints for selected use cases. Develop lightweight implementation plan with clear milestones. Outline basic technical requirements for rapid deployment.
4
Action Planning
Identify potential implementation challenges and quick mitigation strategies. Refine POC scope to focus on most impactful elements. Create an agile AI implementation roadmap aligned with immediate business needs.
Week 2 Meeting Agenda
Our structured agenda ensures we build upon Week 1's foundation and chart a clear path forward.
1
Recap and Progress Review
Review key findings and insights from Week 1 discovery sessions. Reassess current AI maturity level based on detailed analysis of technical capabilities, data infrastructure, and organizational readiness. Identify any gaps or challenges that emerged during initial assessment phase.
2
Finalize POC Scope
Define specific, measurable POC objectives aligned with business goals. Establish clear deliverables and success metrics based on current maturity level. Create detailed resource allocation plan including technical requirements, team assignments, and timeline milestones. Address potential constraints and dependencies that could impact implementation.
3
Develop AI Implementation Roadmap
Create comprehensive implementation strategy aligned with organizational AI Maturity Model. Plan resource allocation across different phases, including infrastructure, talent, and technology requirements. Establish risk mitigation strategies for data security, compliance, and change management. Design monitoring and evaluation framework to track progress and ROI.
4
Feedback and Next Steps
Facilitate detailed discussion to gather client input on proposed approach and timeline. Address any concerns or questions regarding implementation strategy. Assign specific action items and responsibilities to team members with clear deadlines. Schedule follow-up sessions for progress tracking and milestone reviews.
By following this structured agenda, we'll ensure all key aspects of the AI implementation are thoroughly addressed and next steps are clearly defined.
Implementation Journey & Deliverables
Our structured delivery approach ensures clear milestones and measurable outcomes throughout your AI implementation journey, with specific deliverables at each key stage.
1
Foundation Building (Week 1)
- Comprehensive maturity assessment across 5 key dimensions
- Prioritized AI opportunities with business impact analysis
- Draft POC scope with detailed success metrics
- Initial resource planning and constraints analysis
- Strategic stakeholder engagement roadmap
2
Strategic Planning (Week 2)
- Detailed POC implementation blueprint
- Comprehensive AI roadmap with timeline
- Clear success criteria and milestone markers
- Maturity advancement strategy
- Risk mitigation framework
- Resource and budget allocation plan
3
Future Growth (Post-POC)
- Performance metrics and implementation insights
- Best practices playbook
- Strategic scale-up recommendations
- Updated maturity progression plan
- Long-term AI strategy blueprint