Enterprise Clean Architecture Sprint
Decoupled domain logic and secure API boundaries. We scaffold a production-grade AI pipeline using Hexagonal Clean Architecture inside your private cloud, insulating your core business systems from external LLM shifts.
A Foundation That Outlives Any Model
Most AI engagements build directly against an LLM SDK, hard-coding prompts and coupling the business core to a single vendor. This sprint inverts that approach: we design, scaffold, and configure a secure, decoupled production AI pipeline using Hexagonal Clean Architecture, with pure core logic isolated from model provider shifts.
Duration
4-Week Sprint
Delivery
Private Cloud / VPC
Pricing
Fixed Flat-Rate
Engineered for Vendor Independence
Every boundary, port, and adapter is designed so your team owns the architecture, not the other way around.
Ports & Adapters Decoupling
Core domain logic depends only on interfaces, never on external SDKs. Models, databases, and third-party providers plug in behind stable adapter boundaries that your team controls.
Use Case-Centric Core
Business workflows live in pure use-case orchestration layers with zero framework imports. Unit-testable, deterministic, and fully isolated from any LLM provider shift.
Standardized Adapter Interfaces
Ready-made interface contracts for vector databases, model providers, message queues, and object storage. Swap providers without touching a single line of core logic.
GitOps-Ready Manifests
Docker and Kubernetes manifests engineered for reproducible, auditable deployments. Every environment boundary is codified in reviewable YAML, not ad-hoc configuration.
Interface Contract Specs
Every boundary ships with formal interface contracts and architecture documentation, so your team can extend the system without reverse-engineering it.
Model Provider Isolation
LLM shifts are treated as infrastructure events, not rewrites. Swap GPT-class models, fine-tuned open models, or on-prem deployments behind the same port.
What Each Sprint Hands Over
- Pure decoupled core logic isolated from LLM provider shifts.
- Standardized adapter interfaces ready for vector databases and model providers.
- GitOps-ready Docker & Kubernetes deployment manifests.
- Architecture documentation and interface contract specs delivered.
Python, TypeScript, PostgreSQL, Docker, Kubernetes // Initializing adapter interface...
[STST] Decoupling ports & adapters...
[DBUG] Instantiating use-case pipeline...
[PASS] Integrity test suite: 100% OK
The Ownership Guarantee
Unlike consulting hours or SaaS subscriptions, this sprint ends with your team holding full ownership of the production system.
Fixed Flat-Rate Pricing
One agreed price for the 4-week sprint. No hourly billing and no scope-creep surprises.
Private Cloud / VPC Deployment
Everything runs inside your secure perimeter, never on shared public SaaS infrastructure.
Full Source Code Handover
You own every line of code, every manifest, and every configuration from day one.
GitOps-Ready CI/CD
Docker and Kubernetes manifests engineered for reproducible, auditable deployments.
Security & HITL Gates
Cryptographic approval gates and zero-trust boundaries built into every deliverable.
Runbooks & Documentation
Operational runbooks, API specs, and architecture docs your team can own.
Scaffold a Vendor-Independent AI Architecture
Speak directly with our systems architect to model a decoupled, secure, and compliant AI pipeline built strictly on Clean Architecture for your enterprise environment.