How We Build
From requirement to production — a structured engineering process for AI, software, automation and digital systems.
Requirement to production
- 01
Requirement
Understand the customer's business problem, goals, users and constraints.
- 02
Discovery
Identify scope, workflows, dependencies, risks and missing requirements.
- 03
Architecture
Define application architecture, database, APIs, integrations, AI components and infrastructure.
- 04
AI & API Analysis
Determine where AI is actually useful, model/provider requirements, RAG/knowledge needs where applicable, third-party and internal APIs, integration dependencies and expected recurring usage costs.
- 05
Security
Plan authentication, authorization, permissions, data isolation, secrets, rate limits, auditability, privacy and other applicable controls.
- 06
Design
Translate the approved architecture into user flows, screens and system interactions.
- 07
Engineering
Implement frontend, backend, APIs, database, integrations and AI components according to the approved scope.
- 08
Testing & QA
Validate functionality, security boundaries, integrations, responsive behaviour, error handling and critical workflows.
- 09
Deployment
Prepare production configuration, infrastructure, environment variables/secrets, database migrations, domain/SSL and release procedures where applicable.
- 10
Handover
Provide the agreed deliverables, documentation, credentials/access transfer where appropriate, operational notes and maintenance guidance.
Before development
Development begins only after scope, cost and delivery expectations are sufficiently defined and approved.
AI where it helps — not AI everywhere
OMS IT evaluates whether AI is actually useful before introducing it into a project. Not every project uses AI — a conventional, well-engineered system is often the correct answer. Where AI adds measurable value, we plan the model, provider, data and cost implications during architecture.
Read more in our AI architecture overview.
Evaluation areas
- AI agents
- LLM applications
- RAG / knowledge systems
- Automation
- Classification
- Extraction
- Summarization
- Intelligent workflows
- Human approval
Own, third-party, or hybrid
Own API
Build when the functionality belongs to the product/platform.
Third-Party API
Use when an external provider is the appropriate authority/service.
Hybrid
Use an internal abstraction/integration layer around external providers where beneficial.
Third-party provider pricing and availability are verified before final commercial commitment where applicable.
Cost & resource planning
Project planning considers the full resource picture — not just development hours. Each engagement is estimated individually; no generic price list applies.
- Development effort
- Infrastructure
- AI / model usage
- Third-party APIs
- Hosting
- Storage
- Email / SMS
- External specialists
- Maintenance
One-time
Discovery, architecture, design, engineering, testing, deployment and handover — scoped and approved before development.
Recurring
Hosting, infrastructure, AI/model usage, third-party API subscriptions, email/SMS and maintenance — identified during planning.
Quality & security
Security
Authentication, authorization, row-level data isolation, secret management and rate limiting planned during architecture — not bolted on later.
Testing
Validation of functionality, security boundaries, integrations and critical workflows before release.
Observability
Logging and error monitoring so production behaviour can be inspected and diagnosed.
Backup & Recovery
Database backup and restore procedures appropriate to the hosting platform and project scope.
Documentation
Operational notes, setup instructions and architecture records delivered with the handover.
Maintenance
Ongoing support, dependency updates and improvement cycles agreed per project.
OMS IT Project Architect Lab
A structured internal planning concept for turning customer requirements into implementation-ready project plans.
Have a project in mind?
Start with your requirements. We can turn them into a structured technical plan.
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