Engagement Models

Engagements

Structured advisory and implementation support for moving from a specific workflow question to a governed, reviewable AI operating model.

AI Discovery WorkshopAI Discovery Workshop

Indicative FeeFrom HKD 1,500

Best for

Leadership teams or department heads that need to clarify which workflows are worth piloting, which data should stay out of AI, and what risks must be addressed before investment.

Focus

Workflow interviews, document and data-sensitivity review, initial use-case prioritization and governance requirements.

Outputs

A shortlist of entry-point use cases, priority recommendations, risk and data-boundary notes, and a proposed pilot scope.

Discuss This Engagement

Controlled AI Workflow PilotControlled AI Workflow Pilot

Indicative FeeFrom HKD 28,000

Best for

Teams with a defined workflow or pain point that want to test AI within a limited scope of data, users and outputs.

Focus

Controlled workflow design, prototype or automation build, human-review checkpoints, user feedback and risk observations.

Outputs

A testable AI workflow prototype, pilot findings, limits and risk notes, and a recommendation on whether to extend.

Discuss This Engagement

Ongoing AI AdvisoryGovernance Retainer

Indicative FeeFrom HKD 16,000 / month

Best for

Organizations adopting AI or managing multiple tool trials that need external support for governance cadence, selection criteria and internal capability.

Focus

Tool and model selection, data policy and permission design, internal training, management briefings and periodic review.

Outputs

Regular advisory sessions, governance updates, training materials, tool assessments and sector or regulatory updates.

Discuss This Engagement

AI Workflow Automation & Private DeploymentAI Workflow Automation & Private Deployment

Indicative FeeCustom quote

Best for

Organizations handling sensitive documents, internal knowledge bases or client data that need AI deployed in a controlled environment and connected to existing systems.

Focus

Private-cloud or local environment design, RAG knowledge bases, permission controls, API integration, security testing and operating handover.

Outputs

An AI workflow system deployed in a client-controlled environment, with technical documentation, operating rules, training and support arrangements.

Discuss This Engagement

Start with the right entry point

We begin by understanding your workflow, data sensitivity and accountability model before recommending whether to start with a workshop, pilot, advisory retainer or private deployment.

Discuss the Right Engagement

Submit Inquiry WhatsApp