AI advisory

Start with institutional requirements, evidence and governance — not a shopping list.

ZYK's content-v2 advisory architecture combines strategic readiness and roadmap work with technical model evaluation, procurement and private-AI migration concepts. The aim is to help institutions decide what should be built, governed and tested before committing to hardware, models or platform choices.

Strategy & readiness

Decide what the institution actually needs before deciding what to buy.

Institutional readiness

Map leadership objectives, teacher and student needs, existing systems, data categories, internal IT capability and risk tolerance.

Use-case prioritisation

Separate high-value, lower-risk early opportunities from later use cases that require stronger validation, approval or technical controls.

Deployment choices

Compare on-premise private infrastructure, controlled hosting and hybrid approaches against privacy, performance, cost and operational capability.

Governance design

Bring identity, access, logging, retention, consent, content controls, human oversight and responsibility into the architecture before deployment.

Technical advisory

Turn the strategy into defensible technical decisions.

Model Evaluation Service

Compare candidate models against institution-specific tasks such as Chinese and English performance, curriculum reasoning, coding, latency, safety behaviour and hardware efficiency.

AI Procurement Advisory

Translate educational, governance and capacity requirements into a defensible hardware, deployment and supplier specification rather than beginning with a preferred vendor.

Private AI Migration

Map current public AI use, identify suitable workflows for institutional migration, classify data sensitivity and design a staged route into governed private infrastructure.

From strategy to pilot

Break “AI transformation” into stages that can be tested.

1 · Discover

Interview key stakeholders and establish requirements, constraints, current AI use and risk areas.

2 · Design

Define the target architecture, governance boundaries, success measures and pilot population.

3 · Pilot

Test bounded educational or operational workflows and record adoption, quality, governance, capacity and support burden.

4 · Decide

Use evidence to expand, modify, pause or replace the proposed technical path.

5 · Scale

Expand only when controls, training, integration, capacity and support are ready.

Evaluation

A benchmark should resemble the work the institution actually cares about.

Education tasks

Lesson planning, rubric interpretation, bilingual tasks, document analysis, coding support and subject-specific questions.

Operational tasks

Admissions FAQs, policy retrieval, internal document workflows and other bounded institutional use cases.

Technical measures

Latency, throughput, memory requirements, concurrency and infrastructure cost can be considered alongside output quality.

Governance measures

Institutions may also need to compare controllability, deployment location, logging options, licensing and model lifecycle considerations.

Procurement & model neutrality

Preserve institutional choice.

Capacity & cost

Translate user numbers, concurrency, context length, media workloads and service expectations into testable capacity assumptions rather than buying by GPU count alone.

Acceptance criteria

Define supplier evaluation dimensions, deployment assumptions and technical acceptance tests before procurement. Final procurement, legal and financial decisions remain with the institution and its advisers.

Exit & migration

Consider model replacement, data export, knowledge migration and supplier exit at architecture stage to reduce future lock-in.

Private-AI migration

Move the right workflows — not everything at once.

Discover

Identify how staff and students currently use public AI tools, APIs and informal workarounds.

Classify

Separate low-risk experimentation from workflows involving institutional, student or sensitive information.

Prioritise

Select use cases that offer clear educational or operational value and are practical to govern.

Pilot & evaluate

Move a bounded set of workflows into the private environment and evaluate quality, usability, governance and cost before expansion.

These advisory services are strategic content-v2 concepts. Final methodologies, deliverables, pricing, professional responsibilities and jurisdiction-specific requirements should be defined before commercial launch. ZYK does not present this page as regulated legal, audit or other professional advice.