Level 4 · AI-Native Operating Infrastructure

AI as your operating model, governed and compounding.

Multi-agent orchestration, role-based permissions, model routing, cost dashboards, and executive intelligence across every system in your organization.

From $5,000·Scoped per engagement
8 – 16+ weeks·Build to full operation

Is this your level?

Level 4 is for organisations that want AI as a permanent, governed, compounding asset.

You're running multiple AI deployments and need unified governance
You want AI as infrastructure, not a collection of isolated tools
Cost, compliance, and auditability are non-negotiable
You're ready to make AI a permanent part of your operating model

What it costs

Start with a blueprint. Build when you're ready.

Entry point: no build commitment required
Architecture Blueprint · $1,500–$3,000 · 1–2 weeks

Understand your operating layer before committing to build it. Scoped architecture, integration map, governance model, and cost projections.

$5,000–$10,000
8–12 weeks
Level 4 Lite MVP

First governed operating layer: orchestration, role-based permissions, and cost dashboard.

Most common
$10,000–$20,000
12–16 weeks
First Operating Layer

Production AI infrastructure with multi-agent coordination, model routing, and executive reporting.

$20,000–$35,000+
16+ weeks
Advanced Infrastructure

Full governed AI operating model across departments with private deployment and multi-system integration.

Retainer options

Level 4 infrastructure requires ongoing management. Retainers cover governance, monitoring, model routing, and operational expansion.

$2,000–$3,500/mo
Operating layer support

Monitoring, updates, workflow support, cost review.

$3,500–$5,000/mo
Managed AI operations

Governance, optimization, model routing, workflow expansion.

$5,000+/mo
Strategic AI partnership

Multi-department support, quarterly roadmap, executive intelligence reporting.

What you get

A fully governed AI operating layer, built, integrated, and managed by U4RIA.

1Multi-agent orchestration architecture and build
2Role-based permissions and access governance
3Model routing and token efficiency layer
4Audit dashboard and executive intelligence reporting
5Cross-system integration (TMS, WMS, ERP, CRM, etc.)
6Ongoing managed operations, monitoring, and optimisation

What this is not

Level 4 requires operating control, governance, cost discipline, permissions, and reusable architecture. These don't qualify.

Two connected workflows (that's Level 2)
A chatbot with multiple prompts
Agent SDK or tool setup without shared orchestration
A dashboard without governance or permissions
An API without auditability or role-based access
Multiple agents without a shared operating layer

What we operate

Enterprise-scale AI infrastructure, built for your operations.

Multi-Agent Orchestration

Multiple specialised AI agents coordinated across your operations, each handling a domain, all governed from a single control layer.

TMS / WMS / ERP / CRM Integration

AI wired into every system layer. Decisions made in one system trigger governed actions across the rest, no manual handoffs.

AI Governance Dashboard

Executive-level visibility into AI performance, cost, model routing, exception rates, and audit trails, across every deployment.

Token Efficiency Layer

Model routing, prompt compression, semantic caching, and deduplicated retrieval, cutting AI API spend 40–80% without touching outputs.

Sustainability & Compliance Layer

Automated compliance monitoring, carbon accounting, and regulatory reporting, built into the AI operating layer, not bolted on.

Executive Intelligence Reporting

Weekly and daily AI-generated briefings synthesising operational performance, exceptions, and forward signals across all systems.

Level 4 in practice

Level 4LogisticsA regional logistics operator

Cutting empty miles and reclaiming margin across a 200-vehicle fleet

Route optimisation and load-matching AI across live job boards, order patterns, and traffic data, dynamically filling return legs and consolidating loads at scale.

-28%
Empty Miles
$340k
Annualised Savings
200 vehicles
Fleet Size
Cross-border
Expanded to
View all case studies →

Included at Level 4

Token Efficiency Partners

Every Level 4 engagement includes our token governance layer, auditing, optimising, and routing your AI spend so infrastructure costs compound down as usage scales up.

Not quite there yet?

Level 3: Bespoke Workflow Intelligence

Build domain-specific intelligence before scaling to full infrastructure.

Ready to operate at scale?

AI infrastructure, built and operated for you.

Book a discovery call. We'll assess your current AI footprint, identify the integration points, and scope a governed operating architecture, before any build begins.

No commitment · Response within 24 hours · Architecture scoped before build