AI Strategy Services

What I Build

Voice AI

Real-time speech pipelines for production conversations.

Includes:
Speech-to-text, text-to-speech, and voice activity detection
Retell, LiveKit, and Vapi
Low-latency turn taking
Integration with agents and business systems
Ideal for:

Support lines, intake, and voice agents that need to act, not only talk

Hybrid RAG

Semantic and keyword retrieval over documents and databases.

Includes:
Vector and keyword retrieval
FAISS, Chroma, Pinecone, and PGVector
Document and database ingestion
Citation and source tracking
Ideal for:

Knowledge bases, policy Q&A, and internal assistants

Temporal agents

Time-aware retrieval and agents that stay current as contract terms and enterprise facts change.

Includes:
Time-aware retrieval over contract history
Agents that reason across current and prior terms
Memory and context management
Guardrails for stale answers
Ideal for:

Blockchain contracts, compliance, and any knowledge that versions over time

Agentic systems

LangGraph orchestration, tool use, and multi-agent workflows for voice, public-sector, and financial systems.

Includes:
LangGraph orchestration
MCP and tool use
Task routing
State across agents
Ideal for:

Public-sector workflows, financial agents, and multi-step operations

AI strategy consulting

Architecture, roadmap, and stakeholder alignment across scope, timelines, and compliance.

Includes:
Use case identification and prioritization
Architecture and technical roadmap
Stakeholder alignment on scope and tradeoffs
Compliance and risk review
Ideal for:

Teams deciding what to build, how to sequence it, and what to leave out

My Process

1

Discovery

Deep dive into your business needs
User research and conversation flow analysis
Technical requirements gathering
Success metrics definition
2

Design

Conversation design and flow mapping
System architecture planning
Technology stack selection
Data pipeline design
3

Development

Iterative development with weekly demos
LLM integration and prompt engineering
Backend and infrastructure setup
Testing and quality assurance
4

Deployment

Production environment setup
Performance optimization
Security hardening
Go-live support
5

Maintenance

Monitoring and analytics
Continuous improvement based on data
Model retraining and updates
Feature enhancements
1

Discovery

Deep dive into your business needs
User research and conversation flow analysis
Technical requirements gathering
Success metrics definition
2

Design

Conversation design and flow mapping
System architecture planning
Technology stack selection
Data pipeline design
3

Development

Iterative development with weekly demos
LLM integration and prompt engineering
Backend and infrastructure setup
Testing and quality assurance
4

Deployment

Production environment setup
Performance optimization
Security hardening
Go-live support
5

Maintenance

Monitoring and analytics
Continuous improvement based on data
Model retraining and updates
Feature enhancements
1

Discovery

Deep dive into your business needs
User research and conversation flow analysis
Technical requirements gathering
Success metrics definition
2

Design

Conversation design and flow mapping
System architecture planning
Technology stack selection
Data pipeline design
3

Development

Iterative development with weekly demos
LLM integration and prompt engineering
Backend and infrastructure setup
Testing and quality assurance
4

Deployment

Production environment setup
Performance optimization
Security hardening
Go-live support
5

Maintenance

Monitoring and analytics
Continuous improvement based on data
Model retraining and updates
Feature enhancements

Why Work With Me?

  • ✅ End-to-End Ownership - From concept to production, I handle it all
  • ✅ Production-Ready - Not just POCs. Scalable, monitored, maintainable systems
  • ✅ Research-Backed - Continuously learning and applying the latest AI research and best practices
  • ✅ Proven Track Record - 25+ successful client projects delivered
  • ✅ Transparent Communication - Weekly updates, clear documentation, no surprises
  • ✅ Long-term Partnership - I build with maintenance and scaling in mind

Pricing Models

Fixed Project

Best for defined scope with clear deliverables

Hourly

Ideal for consulting, maintenance, or evolving requirements

Retainer

Ongoing support and feature development

FAQ

How long does a typical project take?

Most projects take 2-3 months from kickoff to a production release. Voice, hybrid RAG, and agent systems vary with scope and compliance.

Do you work with startups or only enterprises?

Both! I've built systems for early-stage startups and mid-sized businesses. I tailor the solution to your budget and scale.

What's included in post-launch support?

Typically 2-4 weeks of included bug fixes and minor adjustments. After that, I offer maintenance retainers starting at 10 hours/month.

Can you work with our existing tech stack?

Absolutely. I integrate with most modern systems CRMs, databases, APIs, messaging platforms. If it has an API, I can connect to it.

Do you sign NDAs?

Yes, I sign NDAs before any project discussions involving sensitive information.

What if we're not happy with the results?

I work iteratively with weekly demos, so you'll see progress continuously. I don't consider a project done until you're satisfied.