DECIDE WHAT SHOULD BE DONE BEFORE COMMITTING TO THE BUILD
AI & Technology Consulting
CSS helps organizations turn AI and technology ambition into practical decisions.
We assess the business problem, operating environment, data, risk, architecture, governance, and delivery requirements before recommending where to invest and how to proceed.
AI Strategy & Readiness
Find the right opportunities before choosing the technology.
CSS helps leaders determine where AI can create meaningful business value, which opportunities are realistic, and what capabilities must be in place before implementation.
Capabilities
- AI opportunity discovery
- AI readiness assessments
- Use-case identification
- Use-case prioritization
- AI roadmaps
- Business-case development
- Build, buy, or partner analysis
- Investment sequencing
- AI adoption planning
- Executive decision support
AI Governance & Responsible AI
Create governance that enables responsible adoption.
AI governance should help organizations move faster with appropriate controls, not create unnecessary bureaucracy.
CSS helps define how AI use cases are evaluated, approved, monitored, and governed throughout their lifecycle.
Capabilities
- AI governance operating models
- Use-case intake and approval
- Risk classification
- AI risk assessments
- Human oversight
- Escalation paths
- Model governance
- Vendor governance
- Policy development
- Standards development
- Data and privacy considerations
- Control design
- NIST AI RMF alignment
- Agentic AI governance
- Shadow AI assessment
AI Solution Architecture
Turn an approved use case into an implementable design.
CSS translates business requirements into architectures that define how models, applications, data, integrations, security controls, and human workflows work together.
Capabilities
- LLM solution architecture
- RAG architecture
- Agentic-system design
- Model and provider evaluation
- Prompt and context architecture
- Data-flow design
- API architecture
- Integration architecture
- Identity and access patterns
- Human-in-the-loop architecture
- Cloud deployment architecture
- Observability requirements
- Cost and latency considerations
AI Evaluation & Production Readiness
Know whether the system works before relying on it.
A successful demonstration is not the same as a production-ready AI system.
CSS helps establish how AI solutions will be evaluated for quality, reliability, risk, cost, latency, and operational performance.
Capabilities
- Evaluation frameworks
- Test datasets
- Output-quality criteria
- Model comparison
- Prompt evaluation
- Agent evaluation
- Regression testing
- Failure-mode analysis
- Human-review requirements
- Cost evaluation
- Latency evaluation
- Production monitoring
Agentic AI
Move from AI that answers questions to AI that can perform controlled work.
CSS helps organizations evaluate and design agentic systems that can reason across tasks, use approved tools, interact with business systems, and escalate to humans when required.
Capabilities
- Agent use-case assessment
- Single-agent workflows
- Multi-agent workflows
- Tool-use architecture
- MCP integrations
- Agent permissions
- Human approval gates
- Escalation patterns
- Memory and context strategy
- Agent evaluation
- Observability
- Governance and controls
AI Engineering Enablement
Help engineering teams work effectively with AI.
CSS helps engineering organizations introduce AI-assisted development while preserving quality, review, security, and accountability.
Capabilities
- AI-assisted development workflows
- Coding-agent operating models
- Specialized engineering agents
- MCP and tool integrations
- Automated testing
- Automated review
- Quality gates
- Human approval controls
- Agent permissions and boundaries
- Engineering analytics
- Delivery workflow design
- AI development governance
Product & Technology Strategy
Connect technology decisions to business outcomes.
CSS helps leaders define what should be built, why it matters, what success looks like, and how competing priorities should be sequenced.
Capabilities
- Problem framing
- Opportunity definition
- Target outcomes
- Product strategy
- MVP definition
- Roadmaps
- Prioritization
- Success measures
- Decision rights
- Dependencies
- Build/buy decisions
- Investment planning
Technology Operating Models
Make strategy executable.
Technology strategies fail when ownership, governance, funding, prioritization, and delivery models do not support them.
CSS helps organizations design the operating mechanisms needed to move strategy into execution.
Capabilities
- Product operating models
- Portfolio governance
- Annual planning
- Investment prioritization
- Decision rights
- Governance forums
- Roadmap management
- Workforce planning
- Capability planning
- Delivery governance
- Executive reporting
- Transformation planning
Starting Engagements
AI Readiness Assessment
Assess where AI can create value, organizational readiness, key gaps, and recommended next steps.
AI Governance Assessment
Evaluate existing governance, controls, policies, roles, oversight, and risk-management practices.
AI Opportunity Prioritization
Turn AI ideas into a prioritized portfolio based on business value, feasibility, risk, cost, and effort.
AI Solution Architecture Sprint
Translate a selected use case into target architecture, key design decisions, dependencies, and an implementation path.
AI Engineering Enablement Assessment
Evaluate how an engineering organization can safely and effectively introduce AI-assisted software development.
Technology Operating Model Assessment
Evaluate governance, ownership, decision rights, planning, prioritization, delivery, and performance management.
Start a conversation.
Describe the problem you are trying to solve, the decision in front of you, or what you need built.