Automate Your Engineering Standards. Recover Your Margins.
Stop letting manual PR reviews bottleneck your AI-assisted dev teams. We install the automated X-Ray that proves your code is enterprise-grade before it ever reaches the client.
Book a Diagnostic AuditThe Broken AI Process
AI makes your developers faster, but most agencies simply bolted AI tools onto legacy workflows. The result isn't just bad code—it's a fundamentally broken process. Without redesigning the human-AI loop and addressing the change management challenges with your senior developers, your margins will continue to erode faster than ever. You are likely facing:
The Senior Bottleneck
Your best tech leads are exhausted. They spend all their time reviewing unconstrained AI output and fighting change management battles instead of building.
Margin Erosion & Unpaid Rework
As junior devs rely more on AI, code volume explodes but architectural quality plummets. When the AI hallucinates, you end up eating the cost of unpaid rework just to keep the client.
The Workflow Mismatch
Legacy code review processes weren't designed for AI-scale output. Endless QA cycles and client rework eat the margins you gained from faster generation.
The GitOps Execution Engine
Adding an LLM to a CI pipeline is a commodity. The true value is knowing what rules to enforce. Write your architectural standards in plain English, and our unopinionated engine enforces them directly in your CI/CD pipeline, catching structural decay before your senior engineers ever see it.
Client Rules in Git
Zero Lock-In
We don't trap your IP. All architectural rules, AI prompts, and client context are stored as Markdown directly in your own Git repositories. You own your knowledge forever.
Client-Specific Context
Multi-Tenant Rules
GitHub builds global rules; agencies need to swap between "HIPAA-compliant" (Client A) and "Fast MVP" (Client B) rules dynamically. We manage this multi-tenant context natively, injecting the exact right ruleset per client.
Cost-Aware Routing
End of the AI Subsidy
Running expensive frontier models (like Claude 4 Opus or GPT-5) on every CI check will bankrupt you. We use deterministic static analysis for 80% of checks, cheap models for 15%, and only escalate to expensive models for the 5% requiring deep architectural reasoning.
Local Execution
Complete Data Privacy
You cannot send client source code to a 3rd party vendor without violating NDAs. Our execution agents run entirely inside your CI/CD infrastructure. Code never leaves your environment.
Execution Engine
Automated Quality
Our platform reads your rules and enforces them automatically via PR reviews, AI-assisted architectural checks, and automated AI code reviews.
❌ Blocked: This PR violates Client A's HIPAA data masking rule (Rule 4). You are attempting to log a raw user payload in auth.ts.
Auditable Proof
New Profit Center
Generate white-labeled cryptographic proof (PDFs or dashboards) proving all code adhered to security standards. Resell this to your clients as "Enterprise-Grade QA" and turn a cost center into a profit center.
Latest Thinking
Why AI is Destroying Agency Margins (And How to Fix It)
May 2026
The quantity vs. quality crisis is real. Here's how to stop endless QA cycles from eating your margins.
Stop Paying Senior Engineers to be QA Proofreaders
May 2026
Your best tech leads are bottlenecked by reviewing AI-assisted outputs. It's time to automate the guardrails.
How to Sell Enterprise-Grade QA to Your Agency Clients
May 2026
Turn a cost center into a profit center by white-labeling cryptographic proof of code quality.
The Design Partner Pilot
I am currently taking on a select number of Design Partners. We run a 48-hour deep-tech diagnostic X-Ray using our Open-Source CLI to find exactly where AI is eroding your margins. Then, we execute a strictly-scoped 4-week Concierge Pilot to rebuild your engineering playbook for a single repository, dropping in our proprietary tools as the permanent enforcer.
Inquire about consultingThe Architect in the Shadows
Hi, I'm Paulo Lai.
For over 15 years, I have built the automated guardrails that make scale safe. At Google, I built automated pipelines that slashed planet-scale production failures by 40%. At Commonwealth Bank, I built the bank's first on-demand test environments for strict regulatory compliance.
Most recently in Healthcare AI, I architected the privacy-first AI frameworks required to move clinical voice agents from unreliable prototypes to safe production.
I spent 15 years building safety nets for Google and Big Banks. Now, I bring those exact same guardrails to agencies, so you can deliver enterprise quality on chaotic, fixed-bid client timelines.
Free Resources for Agencies
The Agency Scale Pack
A complete toolkit for scaling your agency safely. Includes The 10 Myths of Agency Software Quality (PDF) reality check, plus The GitOps Starter Rulebook—four battle-tested architectural rules you can immediately drop into your team's AI workflows.
We respect your privacy. No spam, ever.
Ship faster. Build better. Never compromise on quality.
We are currently accepting a limited number of design partners for our Concierge MVP pilot program. Let's see how much speed and margin you can recover when your client's quality is guaranteed by automated guardrails. As part of the pilot, we will extract the 3 most critical rules for a single repository to prove the ROI without the risk of scope creep.