The Secure
Construction Factory
Ship production AI in weeks, not quarters.
We build custom AI systems that reach production instead of stalling in pilot. Weekly working increments, readable code your team owns, and compliance evidence generated during build — not assembled after.
50% holdback until post-deployment validation passes. You pay in full only when it works.
The Execution Gap
Why Enterprise AI Programs Stall
The blocker is not experimentation. It is shipping production AI under engineering and governance constraints.
CTO / CIO
Pilot velocity is high, but production slows when systems must integrate with core platforms, reliability targets, and change control.
CISO
Security and compliance controls arrive late, creating review bottlenecks, unresolved risk ownership, and delayed go-live decisions.
The Operating Model
Two AI Delivery Models, Two Outcomes
Bolt On Compliance Later
The demo works. Then production reality hits.
- Prototype impresses leadership, then stalls for 4 months during re-architecture for production infrastructure
- Security review surfaces 14 findings two weeks before go-live — launch pushed to next quarter
- Compliance team requests documentation that doesn't exist because no one built it during development
- Vendor lock-in discovered when you try to move the model — rewrite required
Build It Right the First Time
Production-ready code and audit evidence ship together. Every week.
- Requirements and tests defined before the first line of code — no re-architecture because the architecture was right from day one
- Security and compliance artifacts generated during build, so review is a formality, not a blocker
- CISO gets article-level compliance scores weekly — no surprises, no last-minute scrambles
- You own the code. Standard stack. Move it anywhere, hand it to any team
The Deliverables
Audit-Ready Every Friday
Production code and the evidence your risk team needs to approve it. Every week.
Working Application
Containerized, deployment-ready code with full requirement-to-test traceability. Not prototypes — production systems.
Compliance Documentation
Auto-generated SR 11-7, HIPAA, DORA, and EU AI Act documentation. Every decision traced to requirements. Not a report — reconstructable proof.
AI Bill of Materials (AI-BOM)
Models used, data lineage, supply chain transparency. SPDX 3.0 compatible. Complete inventory of every AI component in your system.
Standard Code
Multi-agent systems, React frontends, legacy migrations, full-stack platforms. Readable. Portable. Yours. No vendor lock-in — take it anywhere.
The Factory
Why Timelines Are Weeks, Not Quarters
A repeatable construction system means your project isn't starting from scratch. 14 agents execute the same proven pipeline every time.
Phase 1: Specify
What to build
Requirements, Data Entities, BDD Scenarios
Phase 2: Test First
Prove it will work
ATDD Tests, Architecture, TDD Red Phase
Phase 3: Construct
Build to spec
Business Logic, Orchestration, API Layer
Phase 4: Certify
Audit-ready evidence
Final Application, Compliance Report, AI-BOM
Predictable Delivery
22,000 lines of construction logic mean the pipeline has already solved the hard problems — architecture, testing strategy, compliance mapping. Your project inherits all of it on day one.
Compliance Without the Tax
SR 11-7, HIPAA, DORA, BCBS-239, EU AI Act documentation generates automatically during build. Your CISO gets evidence without your engineers writing it.
AI Speed, Human Judgment
Agents construct. Engineers validate every phase transition before the next begins. You get AI velocity with human accountability at every gate.
Assurance
Controls Built In, Not Bolted On
No Data Retention
Data processes in memory, never stored. No training on your data.
PHI Protection
9 PHI categories auto-detected and scrubbed before LLM processing. HIPAA Safe Harbor compliant.
Adversarial Defense
25 attack patterns blocked. 103 adversarial safety tests. 100% pass rate. Every deployment.
Decision-Boundary Enforcement
Every AI action constrained by tested requirement boundaries. No autonomous decisions outside defined policy.
SR 11-7
Federal Reserve Model Risk Management. Full requirements traceability, validation artifacts, decision-boundary documentation.
EU AI Act
Articles 9-15, Annex IV. Risk management, data governance, transparency, human oversight, robustness — auto-documented at build time.
HIPAA
PHI protection, access controls, audit trails, AI asset inventory via AI-BOM (SPDX 3.0).
Post-hoc documentation won't satisfy the requirements. Our pipeline generates Annex IV technical documentation as a standard deliverable.
Results
Production Results
Per application. PHP to React over legacy mainframe APIs. $8T AUM investment bank.
Financial Services · Legacy Modernization
Each advisor-facing application was taking 5 months to rebuild — replacing PHP frontends with modern React while building over the legacy mainframe's API layer. We brought that to under 2 weeks per application, with 100% test coverage and zero production defects across 90 days.
Enterprise QA · Test Optimization
An enterprise QA organization had thousands of redundant test cases accumulated over years, slowing every release cycle. We built an AI-powered semantic deduplication system in 48 hours that cut test redundancy by 80% — giving release teams a clean, maintainable test suite.
Enterprise clients across regulated industries
Why Us
Why Ongil
Built, Not Assembled
22,000 lines of autonomous construction logic. 14 specialized agents. 5 compliance frameworks encoded into a repeatable pipeline. This isn't a wrapper around an LLM — it's a purpose-built construction system that encodes how to build compliant software systematically.
Fortune 500 Validated
3M, PepsiCo, Wells Fargo, Unilever, AB InBev. An $8 trillion AUM investment bank. Direct client engagements across banking, healthcare, CPG, and insurance over 5+ years. That rigor is encoded into everything we build.
Risk-Free Guarantee
90-day SLAs with measurable performance thresholds. 50% holdback until post-deployment validation passes. Discovery fee credited toward development. If we can't deliver audit-ready software that meets your SLAs, you pay nothing for the holdback portion. This isn't marketing language — it's a contractual commitment.
Engagement Model
BUILD / RUN / FIX
Three layers of engagement
Layer 1
BUILD
The Factory
Purpose-built AI agents execute each step — tests, code, compliance docs. Engineers validate every output before the next step begins.
Weekly deliverables. 100% test coverage. Full compliance documentation with every release.
Layer 2
RUN
The Evidence Engine
How the asset stays compliant. Daily testing, drift detection, audit-ready evidence.
Continuous adversarial testing. Automated regulatory reports. Real-time compliance dashboard.
Layer 3
FIX
Remediation
How we handle drift or failures detected by the Evidence Engine.
Rapid remediation SLAs. Root cause analysis. Updated compliance artifacts.
Process
How We Engage
Four steps. Complete transparency at every one.
Map your highest-value AI use case. Full requirements, test structure, compliance assessment, and fixed-price proposal. Discovery fee credits toward the build.
Fixed-price delivery. Working application, 100% test coverage, auto-generated compliance docs, and AI-BOM delivered weekly. Human engineers validate every phase.
50% holdback released only after post-deployment validation passes in your environment, with your data. If validation doesn't pass, the holdback doesn't release.
Performance SLAs with measurable thresholds. Full code ownership. No lock-in. The code is yours — readable, documented, portable.
Your Next Step
Schedule a Discovery Call
A 30-minute conversation about your highest-value AI use case. No pitch deck.
Schedule a CallStart a Risk-Free Pilot
Fixed scope. Fixed timeline. 50% holdback until validation. You own the code.
Start a Pilot