Enterprise

NeuralOps for Enterprise

Your AI Operating System for the enterprise—deployed inside your tenant, governed by your policies, and engineered to scale safely across teams, data, and processes.

Azure-native • In-tenant • Guardrails by design

Architecture

Your AI Operating System

NeuralOps connects people, data, and processes with modular agents, tools, retrieval, and orchestration. It standardises how AI solutions are built and governed across the enterprise—giving you a durable platform to keep shipping safely.

Composable agents, tools, connectors, retrieval
Guardrails, policy, and evaluation harnesses
Observability: latency, cost, precision, adoption

Security & Governance

Azure AD, network isolation, logging, secrets, and audit trails by design. Alignment to enterprise policy and risk.

Azure‑native & In‑tenant

Runs inside your subscription with your identities, data boundaries, and controls. No data leaves your environment.

Modular Agentic Framework

Reusable agents, tools, connectors, and guardrails. Compose domain‑specific workflows that evolve without re‑platforming.

Observability & Value

Dashboards for ROI, adoption, latency, and cost. Evaluation harnesses to keep quality, safety, and performance in check.

Enterprise delivery, de‑risked

1Blueprint

Define goals, risks, data sources, and pilot flows. Establish governance and success measures.

2Landing Zone

Provision NeuralOps inside your tenant. Wire identities, secrets, storage, and connectivity.

3Pilot

Ship 1–2 high‑value agents with evaluation harnesses and dashboards. Prove value with guardrails.

4Scale

Roll out reusable patterns across teams. Add agents, datasets, and automations with change control.

Why NeuralOps works

Production‑proven
Live deployments and repeatable patterns to go from pilot to scale.
Enterprise controls
Run in your network with your identities and secrets.
Measured outcomes
Evaluation harnesses and ROI dashboards built‑in.

Typical ROI profile

4–8 weeks to first value
50–70% cycle‑time reduction on prioritised flows
>85% precision on evaluated tasks in‑scope

* Illustrative; depends on process complexity, data quality, and change readiness.

Where we start

Service & Support

Agentic triage, knowledge retrieval, digital workers, and escalation playbooks.

Operations

Work orders, inspections, safety checklists, dispatch, and reporting.

Finance

Invoice automation, procurement, reconciliation, and policy checks.

People

Onboarding, learning assistants, and HR service delivery.

Sales & Marketing

Proposal generation, product Q&A, and campaign assistants.

Legal & Risk

Document review, policy Q&A, evidence packs, and audit trails.

Integrations

Built for your stack

NeuralOps ships with battle‑tested connectors and a clean extension pattern for your systems.

Azure AI / OpenAI

Microsoft 365

Datadog

Snowflake

ServiceNow

Slack / Teams

Identity & Access

Azure AD, RBAC, JIT, managed identities.

Data Controls

Key Vault, private networks, egress controls.

Audit & Logging

SIEM events, evaluation traces, full audit.

Compliance Ready

SOC2-ready patterns; MAPs-aligned runbooks.

FAQ

Common questions

Where does NeuralOps run?

Inside your Azure subscription with your identities, data boundaries, and controls.

How do you measure value?

Evaluation harnesses + dashboards covering precision, latency, adoption, and ROI.

How fast to first value?

Typically 4–8 weeks for a first pilot agent depending on scope and data readiness.

What about data privacy?

No customer data leaves your environment; optional retrieval redaction and PII controls.

Ready to build your AI Operating System?

Let’s blueprint your first agents

We’ll land NeuralOps in your tenant, ship a pilot with guardrails, and set you up to scale.

Enterprise pilots open this quarter