GenAI Solutions & Delivery

Lead end-to-end GenAI project delivery

from discovery through production handoff

• Run the complete delivery lifecycle: discovery workshops → problem scoping → rapid prototyping → handoff
• Drive evaluation-driven iteration with measurable quality gates and knowledge transfer
• Walk through each delivery phase with realistic client scenarios including scoping and risk assessment

Design GenAI architecture

for client engagements

• Apply cell-based AI, MCP mesh, and multi-tenant architecture patterns to client requirements
• Write ADR documentation with reference designs and technology evaluation rationale
• Create architecture proposals for varied client scenarios and defend design decisions under review

Build agent-based solutions

for client business processes

• Design LangGraph agents with MCP tool integration and human-in-the-loop approval gates
• Customize agent behavior, tool access, and workflow logic for different business process requirements
• Build and deploy domain-specific agents adapted to varied client business scenarios

Customize enterprise LLM deployments

— gateways, RAG, domain adaptation

• Operate LiteLLM gateways with multi-provider management and enterprise RAG stack customization
• Adapt LLM deployments for healthcare, finance, and legal verticals with domain-specific constraints
• Deliver end-to-end LLM customization for regulated industries with compliance validation

Manage FinOps

for client GenAI projects

• Build token cost attribution models with budget forecasting and TCO analysis for proposals
• Design cost optimization strategies across providers, caching tiers, and model selection
• Build cost models, forecast annual spend, and present optimization recommendations to stakeholders

Scope project timelines and team requirements

• Apply effort estimation frameworks designed for non-deterministic GenAI project delivery
• Map team skills, assess technical risks, and develop detailed project proposals
• Estimate effort for sample GenAI projects and identify optimal team composition and skill coverage

Package solutions as deployable artifacts

for client operations teams

• Build Helm charts with operational runbooks, SLA definitions, and integrated monitoring
• Create client handoff documentation with deployment guides and escalation procedures
• Package a complete GenAI solution and conduct a simulated client handoff with operational validation

Advise clients on technology roadmaps

with emerging GenAI patterns

• Evaluate emerging patterns: A2A protocol, MCP mesh, cell-based AI, and multi-tenant architectures
• Assess industry trends, adoption timelines, and migration strategies for client technology stacks
• Build technology roadmap recommendations that balance innovation with operational stability