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OB360

Custom AI Solution & Product Engineering

Build AI-powered business applications and intelligent product capabilities aligned to real requirements.

Discuss your AI initiative

Definition

Build the right AI capability into the products and processes that matter.

In brief: Custom AI solution engineering is the design and build of AI-powered applications around a client’s own workflows. OB360 delivers retrieval-augmented generation, conversational systems, structured extraction and specialized models together with the surrounding user experience, APIs, integrations, evaluation and deployment.

OB360 combines application engineering with model and data capabilities to design custom AI solutions around a client's workflows. Engagements may include retrieval-augmented generation, conversational systems, structured extraction, AI-assisted decisions or specialized machine-learning models. The work extends beyond a demo: it considers the surrounding user experience, APIs, integrations, evaluation, deployment and long-term maintainability.

Problems

Designed around your business

  • Architecture before tools

    We define the business workflow, constraints and right level of AI before choosing implementation patterns.

  • Engineering accountability

    Our work spans concept, integration, software delivery and handover.

  • Controlled enterprise AI

    We design with boundaries, permissions, human review and evaluation in mind.

  • Specialist depth

    Agents, graph intelligence, document AI, applied ML and cloud-native engineering can be combined when the problem requires them.

Who it is for

Where this service fits

This service fits teams that need a working AI capability inside a product or business process, not a standalone demo.
  • Enterprise leaders planning practical AI adoption.
  • Software and product teams extending existing applications.
  • Business and engineering teams connecting workflows, knowledge and systems.

Use cases

An illustrative business scenario

  • A possible engagement

    A software product team needs to add intelligent search, document understanding or workflow assistance to an established application without fragmenting the user experience or compromising access controls.

Related case studies

Approach

From requirements to delivery

Each engagement moves through four stages.

  1. Understand

    Agree the business problem, users, existing systems and constraints.

  2. Design

    Choose the architecture, data boundaries and appropriate human oversight.

  3. Engineer

    Implement the agreed scope with testing and integration.

  4. Enable

    Share implementation knowledge and agree operational next steps.

Technology

Typical scope

A typical engagement can cover the following areas.
  • AI discovery
  • Application APIs
  • RAG
  • LLM integration
  • Workflow design
  • Custom ML/CV where appropriate
  • Testing, integration and deployment

Delivery

Delivery model

Engagement scope, team structure and delivery priorities are agreed around your business needs.

Specific deliverables and implementation boundaries depend on the agreed engagement.

What to expect from an engagement

Solution discovery, architecture and UX direction, APIs, AI workflows, integrations, testing, deployment and technical handover.

Questions

Questions about this service

Can OB360 extend an existing product instead of building a new one?

Yes. Custom AI engineering can be embedded into an existing product or delivered as a separate integrated application, depending on the business and architecture constraints.

Can this work connect to our existing software?

OB360 can integrate AI capabilities with existing applications, data and APIs, with access boundaries defined for the engagement.

How do we start?

Discuss your workflow and constraints with OB360 to agree the relevant discovery and engineering scope.

What kinds of AI solutions does OB360 build?

OB360 builds retrieval-augmented generation, conversational assistants, structured extraction, AI-assisted decision support and specialized machine-learning models, each engineered with the APIs, integrations, testing and deployment needed for real use.

Does OB360 have delivered examples of custom AI engineering?

Yes. Delivered work includes an AI-assisted legal billing compliance workflow, a voice-enabled billing workflow for legal professionals and an enterprise knowledge assistant inside Microsoft Teams. All are published as anonymized case studies.

Next steps

Related services

Explore complementary consulting and engineering services for your initiative.

Discuss Your AI Project

Tell us about your business workflow, users and existing systems. We will discuss the architecture, engineering support and next steps that fit your needs.

Discuss your AI initiativebusiness@onboard360.com