Opportunity diagnosis
Map workflows, constraints, users, and decision points before selecting a model or platform.
Onyx helps leadership, operations, and technology teams identify where AI can create measurable value, what data and controls it requires, and how to move from decision to a production system.
An AI advisory engagement should end in decisions, not a collection of trends.
Map workflows, constraints, users, and decision points before selecting a model or platform.
Assess data readiness, integration limits, privacy, permissions, failure modes, and human review.
Prioritise use cases by value, evidence, implementation effort, and operational risk.
The scope is adapted to the decision you need to make.
A concise recommendation, assumptions, rejected options, and investment boundary.
A ranked portfolio of workflows with owners, dependencies, and measurable outcomes.
A phased plan covering prototype, pilot, production controls, adoption, and validation.
Interview operators, inspect workflows, and establish the current baseline.
Define the business decision, data boundary, risks, and acceptance criteria.
Test the highest-risk assumptions with the smallest credible experiment.
Produce a build, integration, governance, and operating route.
Consulting determines what should be built, why, and within which constraints. Development turns a defined need into an operating system. Onyx can deliver either independently or connect both phases.
Yes. We can review architecture, model quality, data access, operational controls, adoption, cost, and whether the project has a credible production path.
No. The Hong Kong site is designed for Hong Kong and cross-border engagements; delivery can support distributed teams and international operations.
We will first clarify the workflow, evidence, data boundary, and outcome standard before recommending the next step.
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