PlayerZero Implementation Partner · AI SDLC Practice · Atlanta + Remote

Stop sustaining. Start compounding.

AI for the codebase you can't rewrite.

Most enterprises invested in AI. Few got ROI on the system that actually runs the business — the legacy stack they can't afford to rewrite.

We work with engineering organizations whose most valuable codebase is also their oldest. The decades-old .NET monolith. The COBOL backend. The integration layer encoding twenty years of compliance and business logic.

Through fixed-bid AI Readiness Blocks, we wire AI into legacy systems with the safety, evaluation, and enablement layers that make it work in production — not just demo. PlayerZero as the spine. Claude Code, Cowork, and a tailored agent toolchain doing the delivery. HIPAA, HITRUST, SOC 2 in the baseline.

Secured AI · HIPAA · HITRUST · SOC 2 — built in, not bolted on.
Book an intro See the stack
01 — Manifesto

Most teams adopted AI on greenfield.
They never solved legacy.

We've watched the same pattern play out at every enterprise we've worked with. The pilots dazzled on new repos. The same tools collapsed the moment they hit a twenty-year-old codebase. Co-pilots generating C# they didn't understand. Agents stalling at undocumented business logic. RAG systems retrieving stale wiki pages while the actual rules sat in a stored procedure nobody had touched since 2014.

That doesn't mean AI fails on legacy. It means AI fails on legacy by default. To make it work, the codebase has to be mapped, the business rules surfaced, the unsafe surfaces marked, and the simulation layer wired in so agents can propose changes without breaking production. PlayerZero as the spine. Claude Code and a tailored agent toolchain doing the work. Humans whose judgment is the final gate.

AI on legacy isn't a smaller version of AI on greenfield. It's a different practice. We've built it.

An AI practice that compounds on legacy. No AI slop.

02 — What we do

Four ways we show up.

/01

AI product sprints.

A senior team plus the right AI stack, embedded for 6–12 weeks, shipping a working product surface — not a slide deck. Discovery, design, build, ship.

PlayerZero.ai Claude Code Cursor Anthropic API
/02

Engineering quality, hardened.

We instrument your codebase with PlayerZero, untangle the bug backlog AI editors left behind, and stand up a quality system that catches regressions before they ship.

PlayerZero.ai CodeSim CI/CD
/03

Operations on autopilot.

We use Cowork and a tailored agent toolchain to take the non-engineering grind — reporting, file ops, vendor wrangling, ticket triage — off your team's plate. Quietly, in the background.

Cowork PlayerZero.ai Custom agents Workflow design
/04

PlayerZero, fully deployed.

We are an official PlayerZero implementation partner. We map your codebase, wire CodeSim into CI, route customer tickets to the exact line of code, and train your engineers and support team to operate the platform as a daily habit — not a tool that gathers dust.

See the implementation partner page →
PlayerZero.ai CodeSim Sim-1 Implementation partner Enablement
03 — The Stack

We're opinionated about tools.

Every engagement uses a deliberate combination of frontier-grade tools. Here are the three we use almost every time — and what each one earns its place doing. (We're tool-agnostic when the job calls for it.)

01
PlayerZero.ai AI engineering quality platform
The control plane for software quality in the AI-code era. PlayerZero learns your codebase, ties customer tickets to the exact line that broke, and simulates how a proposed change will behave before it ships. We use it as the spine of every quality engagement.
Used in 100% of engagements →
02
Claude Code Agentic coding from the terminal
The pair-programmer that actually finishes the task. Claude Code plans, edits, tests, and ships from your terminal — and works equally well on a ten-line patch or a multi-day refactor. Most of our delivery flows through it.
Primary delivery tool →
03
Cowork A desktop agent for non-developer ops
The piece nobody else is automating well. Cowork handles file shuffling, reporting, vendor follow-ups, and the rest of the non-engineering work that quietly eats a team's week. We deploy it for ops, BD, and founders who'd rather build.
For ops-heavy teams →
04
+ the rest Cursor · Linear · evals · custom agents
We compose the rest of the stack to fit the job — Cursor for in-IDE flow, Linear for project gravity, and custom tooling for the integrations that don't exist yet.
Composed per engagement
04 — Selected work

Where we've moved the needle.

Healthcare · Video Platform

When AI runs the SDLC, a handful ships like a hundred.

Sub-10 engineer org · Multi-year partnership
Problem
A lean engineering team running a complex, regulated healthcare-video platform — where every inbound support ticket used to pull engineers into days of triage and context-gathering before code could be touched.
Intervention
Wired PlayerZero into support, triage, onboarding, PR review, and CodeSim — turning every inbound ticket into a ready-to-merge proposal by the time engineering opens it. Claude Code now powers day-to-day development; Cowork runs across operational work. One of the earliest AI-in-SDLC adoptions anywhere, predating ChatGPT.
~50%
drop in maintenance overhead
SaaS · Growth-stage

Incident resolution, cut to a fraction.

Support + engineering · 8-week engagement
Problem
Customer tickets bounced between support and engineering for days. Root cause hunts started from scratch every time.
Intervention
Connected PlayerZero to ticket intake so customer reports routed to the exact failing path in code. Trained the support team to read the trace.
60%+
faster incident resolution
Research SaaS · HIPAA · FedRAMP

Where AI plans every release — and NPS follows.

20+ connected apps · Multi-year partnership
Problem
A regulated research platform serving 700+ institutions across a Java / PHP / .NET / AWS stack. Growing surface area meant every release carried system-wide risk — and customer NPS tracked it closely. The team needed real research on each major change, not just code reviews and gut calls.
Intervention
PlayerZero runs as the engineering research function — identifying where major system-wide changes need to land, planning each release with full codebase context, automating PR reviews, and running code simulations before every ship. Claude handles day-to-day code edits alongside. Customer NPS has climbed 51% over the engagement.
4×
overall productivity gain in 18 months
05 — The Approach

Three things work together. Or none of it holds.

A tool without a system is noise. We build the engineers, the blocks, and the practice — simultaneously.

01

Assess

Full access to your engineering system — codebase, workflows, incident history. We map exactly where maintenance spend is trapped and where AI will move the needle fastest.

02

Define

A prioritized AI Readiness Block roadmap, scoped and priced before any work begins. Every block has a fixed cost, a defined deliverable, and a measurable outcome.

03

Ship

Blocks delivered in 2–6 week sprints. Each one permanently reduces the cost of the previous surface area. The curve bends with every block — and keeps bending.

Let's make AI
actually deliver.

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