AI Center of Excellence • Pillar 2 of 6

CentralizedAI Expertise

Capture, strengthen, and reuse multidisciplinary expertise across the enterprise — without stripping capability from the units that hold it.

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Multidisciplinary capability flowing into one reusable center — not a single job title

Domain & practitioners

Agents & apps

Data & knowledge

Evaluation

Reusable CoE capability

Why It Matters

Expertise Stays Local — Capability Can Still Scale

The CoE is not a takeover of business-unit talent. It is the operating way to make strong judgment, product ownership, engineering, evaluation, and enablement available wherever work needs them — consistently, and without assuming an oversized permanent headcount.

What Overture Helps Establish

A Flexible Multidisciplinary Mix

Domain Leaders & Strong Practitioners

Surface the people whose judgment already works — and make that judgment reusable.

AI Product & Process Owners

Owners who keep initiatives tied to outcomes, workflows, and operating accountability.

Agent & Application Engineers

Builders who assemble agents, applications, and integrations for dependable use.

Data & Knowledge Engineers

Engineers who ground AI in trusted structured and unstructured organizational context.

Evaluation & Quality Specialists

Specialists who make quality measurable, repeatable, and improvable before and after release.

Platform, Security & Governance Specialists

Roles that keep platforms safe, portable, and policy-aligned as usage grows.

Adoption & Enablement Leaders

Leaders who redesign work, coach champions, and keep humans accountable in the loop.

Reuse strong judgment across the organization — while accountability stays with the people who run the work.

How We Establish It

Right-Sized for Your Reality

Map Capability Flexibly

Identify which roles you already have, which can be shared, and which need partner support — without assuming a large permanent hire wave.

Design Capture & Reuse

Define how expertise is captured, reviewed, and reused across units while remaining with the business.

Deploy on Priority Work

Apply the multidisciplinary mix to prioritized use cases with clear ownership and quality standards.

Evidence of Progress

What You Can Point To Afterward

Role map of multidisciplinary CoE capabilities (as-needed model)
Practices for capturing and reusing strong-performer judgment
Shared standards for quality, delivery, and handoffs
Named product/process owners on priority initiatives

Connected Operating Model

How This Pillar Links to the Others

Strategy· What work deserves scarce expertise Infrastructure· Where builders and agents operate Data & Context· What knowledge they can trust Governance· How quality and risk are evidenced Adoption· How expertise lands in daily work

Examples

Operating Examples

Illustrative scenarios — not client case studies or measured results.

Example: Shared agent delivery cell

A domain lead, agent engineer, knowledge engineer, and evaluation specialist form a short-lived cell for one priority workflow — then document patterns for reuse.

Example: Practitioner judgment capture

High-performing operators contribute decision criteria and exception handling that become reusable prompts, policies, and evaluation cases — without leaving their unit.

Next step

Assess how your expertise is currently concentrated — or talk with us about a right-sized CoE capability model.

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