Deliverance AI launches validated architecture for governed agentic AI

• Joint architecture allows organisations to deploy AI agent teams within private-cloud, on-premises and air-gapped environments
• Validation covers intelligent model routing, multi-agent guardrails, human review, quality evaluation, auditability and data-sovereign retrieval
• Existing enterprise deployments have cut network fault investigation from hours to minutes and saved bid teams around 30 hours per week

Deliverance AI today announced a validated solution that combines HPE Private Cloud AI with Deliverance Agentic OS to help organizations deploy AI-driven business workflows in private enterprise environments. The HPE Agentic Knowledge Solution with Deliverance AI is designed for regulated and business-critical use cases that require enterprise-grade governance, security, and data sovereignty.

Deliverance Agentic OS has been deployed and validated on HPE Private Cloud AI, part of the HPE AI Factory with NVIDIA portfolio, through the HPE Unleash AI partner program. The joint offering gives regulated organisations a tested foundation for applying AI-powered agentic workflow automation to business-critical work involving sensitive data while operating within HPE's governed AI environment.

The architecture supports private cloud and on-premises deployment, with air-gapped operation available for environments with especially stringent requirements. Sensitive information can remain inside the customer's security boundary, while each workflow operates under defined permissions, guardrails, human oversight, cost management and audit controls.

From AI experiments to governed enterprise work

The validation demonstrated how Deliverance AI workflows operate on HPE Private Cloud AI while leveraging enterprise governance, model choice, operational controls, and secure data access. Key workflow capabilities validated included:

• Workflow-optimized model selection: Deliverance AI SmartRouter directs each task to an appropriate approved model based on complexity, cost, performance and governance requirements. Organisations can use NVIDIA NIM, self-hosted models and other approved models, using lower-cost models for routine work and higher-capability models where needed. This helps reduce inference costs, improve response times and avoid tying workflows to a single provider.
• Workflow automation with human oversight: Multi-agent orchestration allows specialised agents to work together within scoped knowledge collections and defined permissions. Guardrails cover inputs, outputs and communications between agents, including protection of personally identifiable information (PII), while administrators can stop active operations through a global kill switch. This allows organisations to automate more work while retaining control, demonstrate how agents have operated and provide evidence when responding to regulators, auditors and internal compliance teams.
• Automated quality assurance: Agent responses are independently assessed against customer-defined requirements and best-practice criteria. Work that falls below the required standard can be rerun or routed to a named person for review. This improves the consistency and repeatability of recurring business processes, reduces errors and rework, and keeps accountable people involved in decisions requiring human judgement.
• Secure enterprise knowledge access: Agents can search and use approved document collections without moving sensitive knowledge outside the customer-controlled environment. This allows organisations to apply AI to proprietary and regulated information while supporting data-residency, security and confidentiality requirements.

Every workflow follows the same governed process. Agents source information from approved systems, validate claims and outputs, consult named specialists when required, keep low-confidence work in draft, obtain human approval for defined decisions and record their actions for audit.

Four categories of enterprise workflow

The joint solution applies AI-powered workflow automation across four broad categories of enterprise work, helping organizations reduce manual effort while operating within HPE's governed AI environment.

• Respond: Complete RFPs, tenders, security questionnaires, supplier qualification forms and due-diligence requests using approved company information
• Produce: Prepare recurring materials such as audit evidence packs, board papers, quarterly business reviews and regulatory filings, with statements linked to their supporting evidence
• Review: Assess contracts, supplier documents, claims and underwriting information against agreed policies, clauses and evidence
• Resolve: Investigate incidents using authorised logs and enterprise systems, develop a cited root-cause assessment and prepare internal or customer responses for human approval

Results from existing Deliverance AI deployments

Deliverance Agentic OS is already deployed in enterprise environments.

At a global systems integrator, a Deliverance AI agent team completes 80% of a first-pass RFP response before human review and saves the bid team around 30 hours per week. Answers are grounded in the firm's previous submissions, while low-confidence responses are routed to named specialists.

At a tier-one mobile operator, governed agents analyse the operator's own logs and telemetry, form a cited root-cause assessment and draft an engineering report. The deployment has cut the time required to reach a finding from two to three hours to under five minutes.

A clinical-stage biotechnology company needs to complete around 200 regulatory documents by year-end, with costs and turnaround times constrained by the availability of outsourced medical writers. The platform now drafts defined sections directly from the agreed trial dataset, with every claim linked to its source and unevidenced assertions flagged before a human reviews the draft. The writers' effort moves from drafting to review, the cost per document falls sharply, and the company controls its own submission timetable.

“Enterprises want AI agents to complete useful work, but they need the controls expected from any other production system. This validation shows how Deliverance Agentic OS workflows can run on HPE Private Cloud AI, providing that foundation. Organizations can put agents to work on sensitive and regulated processes while retaining control of their data, models, permissions and approvals. They can trace how an answer was produced, intervene when required and keep an audit record of the work.”

“Organizations don't need another AI pilot. They need trusted ways to apply AI to real business processes. HPE Private Cloud AI provides the governance, security, and operational foundation required for enterprise AI, while Deliverance AI helps automate workflows such as investigations, RFP responses, and compliance reviews. All while helping our customers manage their costs and sovereign requirements. Together, we're helping customers move AI into production with confidence.”

Built on optimized compute, networking, and storage, HPE Private Cloud AI comes pre-integrated with NVIDIA AI software and HPE AI Essentials – giving teams a shared control plane for models, tools, workflows, and agent sandboxes. Customers get sovereignty over sensitive data, predictable economics through token-based inference controls, and a validated entry point sized to their workload, with room to expand as adoption grows.

Notes to editors

High-resolution imagery is available to download here.

About Deliverance AI

Deliverance AI builds the Agentic Operating System for regulated enterprises, enabling organisations to deploy AI agents for sensitive, business-critical processes while personnel keep control of approvals. The platform combines ready-built agents, a governed runtime and forward-deployed engineers, while every model call is logged with the sources behind the answer. It runs in the cloud, on-premises or fully air-gapped, so data stays within the customer's boundary. Deliverance AI is certified to ISO/IEC 27001:2022 and headquartered in London. For more information, visit www.deliverance.ai.

Media contact: media@deliverance.ai