UnitOne AITECHNOLOGY & ENGINEERING
UNITONE AI / 01
Client Platform Engineering

Enterprise applications, AI workflows, and cloud architecture.

Secure custom software, governed AI automation, systems integration, and data platforms engineered around enterprise requirements.

Schedule Architecture Review
ENGINEERING FOR YOUR BUSINESS

Modernize the platform. Connect the systems. Govern the workflow.

We modernize critical applications, connect enterprise systems, automate controlled workflows, and establish scalable cloud and data foundations. Architecture, implementation, validation, deployment, and handover are governed through an agreed delivery plan.

How we can help.

CLIENT PLATFORM ENGINEERING
01

Application development

Web applications, mobile experiences, enterprise portals, and internal tools shaped around the people who use them.

02

AI & automation

Intelligent assistants, document processing, and connected workflows that make complex business processes easier to manage.

03

Cloud & systems integration

Cloud application deployment, APIs, databases, and business platforms connected around your operational needs.

04

Data & intelligence

Data pipelines, reporting, and decision-support tools that bring clarity to business operations.

PLANNING YOUR ENGAGEMENT

From a business requirement to a workable technical scope.

Each engagement starts with your systems, users, and delivery constraints. We use these inputs to define the engineering work and an achievable scope.

New applications

Define user roles, key journeys, business rules, data models, and integrations. A scoped release can include the interface, backend, access controls, deployment setup, and operating documentation.

Useful starting point: who will use it, what they need to finish, and which systems hold the information.

Existing systems & integrations

Review the application and its dependencies before changing it. Scope API connections, data migration, reliability improvements, or new features with rollback and compatibility in mind.

Useful starting point: current architecture, known issues, API access, and environments available for testing.

AI-assisted workflows

Identify which decisions can be automated and which need review. Define inputs, expected outputs, exceptions, approval steps, and measurable evaluation criteria before choosing models or workflow tools.

Useful starting point: anonymised examples, process rules, exception cases, and the cost of an incorrect result.

Cloud, data & operational readiness

Plan environments, deployment automation, permissions, backups, monitoring, and data flows to match the application's needs. Agree ownership and any ongoing support as part of the scope.

Useful starting point: hosting requirements, data sensitivity, expected usage, and recovery needs.

Technology follows the requirement.

We consider existing systems, maintainability, team familiarity, security requirements, and operating cost. The proposal identifies the selected stack, deliverables, dependencies, exclusions, and acceptance criteria. Third-party subscriptions and ongoing support are agreed explicitly.

Explore detailed technical capabilities ↗
WHAT AN ENGAGEMENT INCLUDES

Clear deliverables.
A considered handover.

The proposal defines what is included, who is responsible, and how completion will be assessed.

Scope & architecture

Requirements, priorities, technical approach, and an agreed delivery plan.

Implementation & validation

Development, integration, and testing against the agreed use cases.

Documentation & handover

Relevant setup guidance, operating notes, and a walkthrough of the delivered work.

Deployment & support

A rollout plan and clearly defined support arrangements appropriate to the engagement.

ENTERPRISE CONSULTATION

Define the system, constraints, and required outcome.

A useful first brief includes the task, the people who use the system, and any existing tools it needs to connect with.

Schedule Architecture Review