#1 Software Engineering + AI/ML program

Trusted by engineers at 1000+ companies including

Build your
AI Engineering Force

From AI Tool Adoption to Measurable Impact in Enterprises and Governmental Agencies.

Engineers get certified in AI systems, benchmarked against production-grade standards.

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The Enterprise AI Gap No One Has Solved But everyone is feeling

You’ve invested effort, money and time in:

Buying all the AI tools and licenses

Running AI
pilots

Workshops and tool demos

AI strategy decks from consultants

But you are not seeing the expected ROI and your output hasn’t increased 10x.

Tools change.
Human Capacities endure.

Most organizations face the following challenges:

Execution gaps between leadership expectations and engineering reality

Model risk & governance hesitation

Fragmented pilots
that don’t scale

Legacy systems blocking AI integration

Why should your organization embrace AI-first engineering capabilities building?

AI workflows that reduce build cycles, refractory time and debugging loops.

Increased output velocity

Lower reliance on consultants for architecture decisions and AI integration.

Reduced external dependency

Secure LLM orchestration and risk-managed production builds at scale.

Scalable deployment

Instead of one successful pilot, you create internal authorities who multiply and compound impact.

Permanent capability shift

Engineers complete a rigorous production-grade assessment and earn formal certification, validating their world-class capability.

AI Engineering Certification

AI has reached
an inflection point

The Conversational Entryway

Tools/Approaches: Vertex AI, RAG, and prompt engineering for basic internal knowledge retrieval.
Training: Document curation and basic prompting

The Task-Oriented Worker

Tools/Approaches: LangChain, tool-calling, and reasoning loops to execute specific API-driven workflows.
Training: Agentic systems design and API management.

The Collaborative Crew

Tools/Approaches: CrewAI and LangGraph for specialized agents working in hierarchical or parallel sequences.
Training: Distributed orchestration and token governance.

The Integrated Ecosystem

Tools/Approaches: Knowledge graphs and semantic data fabrics unifying all firm data into one cognitive layer.Training: AI-first engineering and strategic governance.

How we work

Turning AI strategy into an AI-first engineering capability, step by step.

Phase 1 - Discovery
(1-2 weeks)

We assess:

Architecture stack
AI maturity
Governance & compliance constraints
Success metrics

Phase 2 - The Catalyst
(2-Day Executive Workshop)

High-impact, live AI-first engineering demonstrations designed to:

Reveal workflow inefficiencies
Show immediate velocity gains
Build internal pull for deeper transformation

This acts as proof of concept before deeper engagement.

Phase 3 - Deep-dive residency (4-10 weeks)

A small cohort of high-potential engineers:
‍
Embedded in real internal projects
Building production-grade internal tools
Measured on velocity & ownership benchmarks
Delivering secure, governed AI deployments

Why Codesmith

Traditional providers offer

Generic curriculum

Tool demos

Passive video content

Post-training disengagement

Codesmith delivers

Stack-aligned internal capacity building

Production-grade builds

Secure AI orchestration

Long-term embedded partnership

leadership

engineering led by engineers

will Sentance

Chief AI Officer

Oxford AI researcher, Stanford Fellow

CEO

Alina vasile

decade of experience building emerging

Eric Kirsten

Senior Advisor

Ex-ESPN,
Ex-Aetna

Alex Zai

Co-founder

Ex-Amazon/Uber
Author: RL Primer

Case Studies

Case Study 1
Treasury / IRS

The U.S. Treasury & IRS selected Codesmith under a $118M BPA to modernize mission-critical legacy systems and build in-house AI capability.

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Case Study 2
Unilever

Trained Unilever’s top senior executives on embedding an AI-first strategy.

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Case Study 3
BBC

Delivered multiple cohorts of engineering best practices to BBC leadership.

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Let’s Build Your AI Engineering Force

If you are a CTO responsible for AI ROI, a CIO accountable for modernization, a Head of Engineering under pressure to deliver, or a Chief AI Officer tasked with scaling pilots, you can book an Executive Discovery Call.

In 30 minutes, we’ll map your AI maturity, identify execution bottlenecks and outline a transformation patch.