AI Center of Excellence (CoE) | Build Internal AI Capability

Advisory

COE charter, operating model, decision rights, and governance design

Standards for data, evaluation, security, and release processes

Development &Integration

Enablement, reusable patterns, accelerators, and MLOps blueprint

Tooling strategy and platform discipline for production AI

Managed Services

Responsible AI governance, trust & compliance, HITL, escalation model

Ongoing controls, monitoring, and maturity improvement

How We Ship Impact — From Discovery to Scale

A consistent delivery rhythm across all services—customized to your context, constraints, and measurable outcomes.

Discover

Baseline maturity and define COE charter, decision rights, and governance objectives.

Typical outcomes:

COE charter, maturity baseline, governance map.

Plan

Define standards and operating model: intake/prioritization, evaluation, security, release processes.

Typical outcomes:

Standards library, intake model, MLOps blueprint.

Build

Enable teams with playbooks, templates, accelerators, and training; establish cadence.

Typical outcomes:

Enablement plan, reusable assets, adoption toolkit.

Scale

Run governance operations: responsible AI, trust/compliance, HITL, escalation management.

Typical outcomes:

Governance cadence, risk controls, compliance evidence pack.

What we measure: throughput, predictability,
defect leakage, cycle time.

Commercial Models

Build & Transfer (B&T)

NeuSix builds the solution and hands it over to your team with documentation, enablement, and transition support.

Build—Operate—Transfer (BOT)

NeuSix builds and operates the solution for an agreed period, then transfers to your team once stable and adoption is proven.

Build—Operate—Maintain (BOM)

NeuSix builds and continues to operate and maintain the solution long-term with clear SLAs, governance, and continuous improvement.

The right model depends on your internal capability maturity, timeline urgency, and governance needs.

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