Discovery & Alignment

Identify high-value GenAI/Agentic AIopportunities aligned to business strategy.

  • A GenAI Roadmap with top 3-5execution-ready use cases
  • Executive Visioning Workshops - Align C-suite priorities with GenAI’s disruptive potential
  • Use Case Prioritization Matrix - Rank by ROI, feasibility, risk, and time-to-value
  • GenAI Readiness Lens – Quick scan of cloud footprint (Bedrock, SageMaker, APIs) & security constraints

Rapid Prototyping

Move from idea →
tangible POC in 2 – 3 weeks.

  • Demonstrated POCs with measurable KPIs (efficiency gains, time saved, accuracy)
  • Bedrock Sandboxing - Test multiple FMs (Anthropic, Cohere, Llama) for fit
  • Agent Design Sprints - Build minimal viable autonomous agents for business tasks
  • Human-in-the-Loop Validation - Early safety guardrails, prompt engineering, and role-specific oversight

Enterprise-Grade Build
& Integration

Production-ready GenAI & Agentic AI solutions integrated into enterprise workflows.

  • Model Engineering - Fine-tuning and RAG pipelines with Bedrock
  • Agentic Workflow Orchestration - Multi-agent collaboration using LangChain or Bedrock Agents
  • API & Platform Integration - Embed into ERP, CRM and ServiceNow​
  • Security & Guardrails - Enterprise IAM, data masking,
    toxicity filters, compliance pipelines

Controlled Deployment & Scaling

Ensure safe, efficient,
and cost-optimized rollout.

  • Pilot Rollout in Business Units - Progressive adoption with metrics tracking
  • Feedback Loops - Capture user feedback to improve agent reliability & trust
  • Cost Optimization - Bedrock FinOps monitoring & model efficiency tuning
  • Change Management - Train workforce to collaborate effectively with agents

AI Ops & Continuous Improvement

Manage, monitor, and evolve GenAI systems at scale.

  • Agent & Model Monitoring - Drift detection, hallucination control, explainability dashboards
  • Continuous Learning & Retraining - Refresh LLMs with enterprise knowledge updates
  • Innovation Pod Model - Ongoing co-creation teams experimenting with new use cases
  • Governance & Compliance - AI ethics board, responsible
    use framework, regular audits