AI Center of Excellence • Pillar 3 of 6

ScalableAI Infrastructure

A model-agnostic capability layer built for dependable business operation — gateways, retrieval, evaluation, controls, and portable production paths.

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Built for dependable operation — not infrastructure for its own sake.

Model and agent gateways

Enterprise retrieval

Agent orchestration

Evaluation pipelines

Observability

Guardrails

Human approvals

Identity & security

Cost controls

Model portability

Production CI

Why It Matters

Infrastructure Serves Operation

Labs can run without a capability layer. Enterprises cannot. Gateways, retrieval, evaluation, approvals, and cost controls exist so AI work can be trusted in production — across models and environments.

What Overture Helps Establish

Capability Layer

Model & Agent Gateways

Controlled entry points for model and agent traffic with consistent policy and oversight.

Enterprise Retrieval & Knowledge Grounding

Ground responses in approved organizational knowledge — not unbounded web noise.

Agent Orchestration

Coordinate multi-step agent workflows with clear boundaries and failure handling.

Evaluation Pipelines

Test quality, intent alignment, and regressions before and after release.

Observability & Traceability

See what ran, what was retrieved, and what changed when something goes wrong.

Guardrails & Policy Enforcement

Apply organizational rules at runtime — not only in slide decks.

Human Approval Points

Require human decision where risk, reputation, or regulation demands it.

Identity, Permissions & Security

Control who and what can invoke capabilities, and what they may access.

Cost & Usage Controls

Govern spend and consumption so scale does not become surprise.

Model & Cloud Portability

Keep the operating model portable across models and environments.

Production Deployment & Continuous Improvement

Ship, monitor, and improve — oriented to dependable business operation.

Portable by design — the operating model is not locked to one model family or cloud.

How We Establish It

From Design to Continuous Improvement

Design for Operation

Define the capability layer around business workflows, risk, and portability — not a training lab stack.

Wire Gateways & Controls

Stand up gateways, retrieval, orchestration, approvals, and security boundaries.

Evaluate, Observe, Improve

Run evaluation pipelines and observability so production stays measurable and improvable.

Evidence of Progress

What You Can Point To Afterward

Reference architecture for the AI capability layer
Gateway and policy patterns for model/agent access
Evaluation and observability hooks in the release path
Cost/usage and approval controls for production paths

Connected Operating Model

How This Pillar Links to the Others

Strategy· Which workloads deserve platform investment Expertise· Who builds and operates on the platform Data & Context· What retrieval may ground on Governance· How evaluation and evidence attach Adoption· How people use production paths safely

Examples

Operating Examples

Illustrative scenarios — not client case studies or measured results.

Example: Governed agent gateway

Business applications call a shared gateway that enforces identity, retrieval scope, approval rules, and cost limits before an agent acts.

Example: Portable evaluation path

The same evaluation and observability hooks run whether a workload uses one model family or another — so the operating model is not locked to a single vendor.

Capability Categories