Secure enterprise AI for
regulated industries

Internal deployment, private-data AI, and governed workflow automation that run inside your cloud and turn scattered records into explainable decisions.

On-prem, private cloud, or hybrid. Your data and AI stay under your control.

Active enterprise deployments and pilots across regulated operations

In-tenant deployment •

SOC 2–aligned •

SSO/SCIM •

Highly regulated data

Private data ownership • Metadata governance • Evidence-linked outputs

Pilot-informed workflow design

• Response within one business day

Claims and Submission Review

Document-heavy insurance workflows

Sample workflow panel

Ready

Workflow state

Evidence review active

Scoped

Deployment path

Customer-aligned rollout

AI Risk Strategy

Deployment fit

Private data | Governed AI

Deployment mode

Hybrid

Control: Customer-owned Auditability: High

Recommended

AI-assisted

Guided

Document review

Manual review

Escalated

Decision checkpoints

Evidence Sources

The Reality of Regulated AI Adoption

Your team is already using AI.
The leak is already happening.

What is happening

Personal ChatGPT and other public AI tools are already in use

Why it matters

That creates legal, security, and data-control risk

What works

Take control with AI inside your own environment

Adoption already happened

Most companies still talk about AI as if adoption has not happened yet. In reality, employees are already using personal ChatGPT and other public AI tools to move faster, and that often means pasting in emails, contracts, customer records, internal decks, and operating documents outside company control.

Liability builds fast

That creates a liability problem most teams underestimate: sensitive data leaves governed systems, retention and third-party use become harder to control, and there is no defensible audit trail when the work touches regulated decisions.

The practical response

Realistically, you are not going to stop employees from using AI unless the company provides a better, safer alternative. The practical answer is to give teams a private, compliant environment in your own cloud or infrastructure, where they can use AI productively while the business keeps ownership, governance, and control of its data.

Book a Demo

Secure Enterprise AI Platform

Turn sensitive workflows into
governed execution

Orchestrate AI agents, document analysis, and metadata-aware workflow automation inside your infrastructure with the controls regulated teams expect.

Secure Data Integration

Connect your data sources securely within your tenant.

Multi-Factor Analysis

Identify hidden correlations across your data.

Evidence-Linked Actions

Turn insights into automated actions.

Private data, metadata, and governance

Connects to the systems your teams already run

Panorad plugs into the systems regulated teams already trust, from claims and procurement to manufacturing operations and enterprise knowledge. Private datasets stay inside your environment while metadata, auditability, and workflow context stay intact.

Zero data egress by default · Deploy inside Azure, AWS, on-prem, or hybrid · SOC 2 aligned controls

Claims, underwriting, compliance

Insurance

Connect policy systems, submissions, correspondence, and internal knowledge bases so claims, underwriting, and compliance teams can work on private datasets without leaving your environment.

Private data stays under your control while Panorad handles orchestration, metadata management, and governed AI access across teams.

Explore all integrations Security controls

Snowflake

Salesforce

Microsoft 365

ServiceNow

DocuSign

Microsoft Azure

Google Cloud

Built for sensitive, document-heavy workflows

Designed for teams that need security, speed, and evidence

Private deployment, governed AI, and references available under NDA

Canadian Manufacturers & Exporters

Trade and manufacturing intelligence

Platform deployed on customer-controlled infrastructure for document-heavy trade, export, compliance, and operational workflows across multiple teams.

Private deployment • multi-team rollout

Insurance and Financial Teams

Governed workflow automation

Sensitive operations spanning correspondence, reviews, and decision support where data must remain inside the customer environment.

Internal deployment • evidence-linked outputs

Public-Sector and Delivery Partners

Secure component integration

Used as a secure deployment layer inside broader client offerings where metadata management, governance, and speed to value matter as much as model quality.

White-label ready • partner-friendly

Security, Governance, and Control

Your Data, Your Tenant, Your Controls

Private-data deployment with complete transparency and control. Deploy in your environment with enterprise governance built in.

Deployment

Azure/AWS/on-prem (K8s/Terraform), private networking, zero data egress by default.

Identity & Access

SAML/OIDC SSO, SCIM, RBAC, least-privilege service accounts, JIT provisioning.

Observability

Immutable audit logs, evidence chains, SIEM export (Syslog/CEF).

Data Governance

US/EU region pinning, customer-managed keys (KMS/CMK), retention controls.

Ready to see Panorad in your environment?

Start with a scoped workflow review. Results in days, with deployment and governance mapped from the start.

Deploy AI faster. Keep control of the data, the workflow, and the operating model.

Panorad provides decision support for regulated workflows. Outputs support review teams and do not replace legal, underwriting, or compliance judgment. • No customer data leaves your tenant by default.

Commercial models vary by deployment and use case. Learn about pricing