AI Implementation Consulting · Boston, MA

Welcome to
Yungsten Tech

Making sense of AI.

Book a Discovery CallSee our services

Trusted by

Acme Analytics
Meridian Health
Prism Ventures
Stackwise
Harbor Group
Northfield Labs
Solaris Capital
Apex Biotech
Acme Analytics
Meridian Health
Prism Ventures
Stackwise
Harbor Group
Northfield Labs
Solaris Capital
Apex Biotech

The Team

Meet the Founders

Paul Mikulskis

Paul Mikulskis

Co-Founder · Engineering

Paul is a backend web development expert and has served as a senior developer and founding engineer at several prominent Boston startups. He has a background in system architecture in industries with complex and secure infrastructure requirements, and is deeply knowledgeable about rearchitecting systems for the age of AI.

Josh Lerman

Josh Lerman

Co-Founder · Business Development

Josh's background is in business development and project management in the technology and software industry. Every business has unique and complicated workflows that are handled by humans. Josh can see the forest through the trees on how these processes can be automated, resulting in generating revenue, reducing expenses and driving value for business owners.

Our Services

Our Approach

Four engagement shapes, designed for where your organization actually is — not where a generic consultant assumes you are.

01Foundation

AI Business Orientation

Most business owners know AI is changing things — they're just not sure where it actually applies to them. Over two to three weeks, we learn how your business runs day-to-day, then identify the specific places where AI can cut costs, remove time-consuming manual work, or help you bring in more customers. No technical background required. You leave with a short list of concrete next steps, not a stack of slides.

Duration2–3 weeks
Best forOwner-operators, small teams
02Wedge

Claude Code Lunch-and-Learn

Two 90-minute seminars for engineering teams ready to take AI tooling seriously. We tailor the content to your codebase and team, then leave you with a starter template repo your engineers can actually use — skills, hooks, and slash commands included.

Duration2–3 weeks
Best forTeams of 5–50 engineers
03Anchor

Stack Consolidation

For funded companies carrying too much technical debt across too many surfaces. We audit your architecture, execute a migration to a modern, AI-ready monorepo, and document everything so your team can own it after we're gone.

Duration3–6 months
Best forSeed+ funded startups
04Bridge

AI Workflow Audit

Your team is already paying for AI tools. We find out whether they're working. Over 4–6 weeks, we interview your team, map every workflow, and deliver a prioritized roadmap of where AI actually generates leverage — with options to build the top automations alongside the report.

Duration4–6 weeks
Best for10–200 person companies
05Specialty

Session Forensics & Pattern Audit

For engineering organizations where most of the team is already using AI tooling daily. We analyze session patterns across your engineers, identify where the top quartile operates differently from the median, and produce a codebase-specific playbook that closes the gap.

Duration6–8 weeks
Best for30–300 engineer orgs

Case Studies & Blog

Insights

🏗️
Case Study

April 2026

How a Series A Fintech Cut Its Deploy Surface from Nine Repos to One

A four-month consolidation engagement that untangled five years of startup drift — and left the engineering team with a codebase they could actually own.

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🤖
Insight

March 2026

Most Teams Are Paying for AI Twice — and Getting Half the Value

Seat licenses aren't the bottleneck. Prompt quality, workflow integration, and tool sprawl are. Here's what we see across the companies we audit.

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📊
Research

February 2026

What 15 Engineers' Session Logs Actually Reveal About AI Adoption

Anonymized findings from our first Session Forensics engagement: the patterns that separated the top quartile from everyone else were surprisingly consistent.

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⚡
Tutorial

January 2026

Five Claude Code Hooks Every Engineering Team Should Configure Before Anything Else

The difference between AI tooling that sticks and AI tooling that gets quietly abandoned usually comes down to environment setup, not model quality.

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🔒
Case Study

December 2025

Rearchitecting a Healthcare Platform for AI — Without Touching Patient Data

How a Boston-area health tech company adopted Claude-powered internal tooling while maintaining strict HIPAA compliance boundaries throughout.

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📝
Insight

November 2025

Why "We Already Use ChatGPT" Is the Wrong Benchmark for Your AI Maturity

Having an AI subscription is not an AI strategy. What separates the companies generating real leverage from the ones paying for tabs nobody opens.

Read more

Ready to talk?

A discovery call is 30 minutes and completely free. We'll tell you honestly if we're the right fit.

Book a Discovery Call