What’s your AI readiness right now?
Understand your AI maturity before making your next move. With a few quick questions, we’ll assess your current state and highlight your strongest opportunities for scalable, high-impact AI adoption.
JUST A FEW CLIENTS WE’VE HELPED WITH AI TRANSFORMATION
Finding Your “Why” for AI
Achieve AI Success with our AI Assessment & Strategy Approach
SEI helps organizations identify their “why” for AI — the business purpose behind every investment — and turn purpose into measurable results. Through our AI Assessment & Strategy approach, we work with you to:
How We Get You AI-Ready
A proven process to evaluate your readiness and develop an AI strategy you can act on.
Real Results, Measurable Impact
16%
productivity gain delivered. Delivered through workforce automation and process optimization for enterprise clients.
300K+
hours saved annually. Freed up by aligning data, governance, and technology across key operations.
12–18
month ROI roadmap. Our structured methodology delivers measurable returns within months, not years.
230 AI Projects in the Past 2 Years
We’ve worked side by side with clients to uncover practical opportunities and build solutions that fit their people, processes, and goals. That work has given us a deep view into what it takes to scale AI responsibly and effectively.
Bring Every Stakeholder On Board
We know that different stakeholders in your organization will have different concerns about AI initiatives. Here's how our AI Assessment & Strategy approach addresses what matters most to each key decision-maker.
Chief Executive Officer
- Pressure to innovate amid market disruption
- Shareholder expectations for AI-driven growth
- Lack of visibility into emerging AI trends
- Realization and accountability of AI investments
- Clear, executive-ready roadmap to unlock competitive advantage and new revenue streams
- Structured 6-8 week engagement providing clarity on where to start and how to scale responsibly
- AI investments aligned with long-term business growth with measurable impact tracking
- Data-driven insights connecting strategy to execution
Chief Financial Officer
- Budget constraints and unpredictable market conditions
- Inefficient financial processes requiring optimization
- Unclear ROI on AI technology investments
- Need for enhanced financial forecasting and risk modeling
- Structured approach to prioritize high-value AI opportunities with measurable ROI
- Investment risk reduction through readiness evaluation
- AI initiatives aligned with cost optimization and strategic planning
- AI-driven analytics for financial forecasting and intelligent automation
Chief Operating Officer
- Operational inefficiencies and rising costs
- Supply chain disruptions and unpredictability
- Workforce management and productivity challenges
- Need for process optimization across the enterprise
- AI roadmap identifying immediate wins through automation and process optimization
- Phased implementation minimizing disruption while driving measurable productivity improvements
- Supply chain optimization through intelligent automation and predictive analytics
- Workforce productivity enhancement with AI-powered tools
Chief Information Officer
- Legacy infrastructure and integration complexity
- IT talent shortages and skills gaps
- Pressure to deliver faster innovation
- Need to align technology investments with business goals
- Strategic blueprint to modernize infrastructure and align IT capabilities with business goals
- Scalable AI initiatives prioritization ensuring responsible adoption across the enterprise
- Digital transformation enablement through AI-powered IT service delivery
- Technology roadmap addressing legacy systems and integration challenges
Chief Technology Officer
- Slow time-to-market for new products and features
- Fragmented technology stacks hindering innovation
- Difficulty aligning R&D with business strategy
- Need to accelerate product development cycles
- AI strategy accelerating integration into technology platforms
- Faster iteration and smarter engineering decisions through AI-powered development
- Alignment between technical capabilities and market demands
- Innovation acceleration with AI-powered testing and customer feedback loops
Chief Data Officer
- Data silos and poor data quality across the enterprise
- Unclear data ownership and inconsistent definitions
- Lack of analytics adoption and unclear data ROI
- Poor data governance processes
- Framework to assess data readiness and improve governance
- AI use cases identified that drive strategic insights and monetization opportunities
- Enterprise data value unlocking through AI-driven insights
- Data governance strategy enabling responsible AI adoption
Chief Security & Compliance Officer
- Increasing cyber threats and expanded attack surface
- Complex regulatory landscape and compliance requirements
- Shadow AI and uncontrolled AI usage risks
- Skills and resource gaps in security teams
- Responsible and secure AI adoption with risk assessments and governance frameworks
- Regulatory requirements addressed through phased implementation plans
- Cybersecurity posture strengthened with AI-based threat detection and anomaly monitoring
- Automated compliance reporting and visibility into AI usage
Sales & Marketing Leaders
- Low conversion rates and inefficient campaign spend
- Fragmented customer data across systems
- Difficulty measuring campaign impact and ROI
- Need for dynamic content personalized to customer behaviors
- High-impact AI use cases like customer segmentation, personalization, and predictive lead scoring
- Roadmap enabling quick action on AI opportunities that drive revenue growth
- Campaign performance optimization through AI-driven targeting
- Customer acquisition boost with AI-powered personalization
Meet Your Advisory Experts
Antonio Mañueco
John Longo