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Occamonics · Oracle PartnerNetwork member

Cloud and AI that hold up in production.

Occamonics is an Oracle cloud and AI engineering firm. We design and build Oracle Cloud Infrastructure environments, integrate enterprise systems and develop agents in Oracle Digital Assistant and AI Agent Studio. You work directly with the engineers responsible for architecture and delivery.

Founded by the Oracle VP for Emerging Technology who designed and ran the Early Adopter Program for the HCM Digital Assistant.

What we take on.

Our services cover OCI architecture and infrastructure, enterprise integrations, AI agents and ongoing operations. Engagements range from a two-week review to an enterprise program. We agree scope, deliverables and commercial terms before work begins.

Best fit: Oracle customers building or improving cloud environments, connecting enterprise systems, or deploying and operating AI agents.

Build and improve

01 :

OCI Cloud Engineering

We design and build Oracle Cloud Infrastructure environments, including networking, Kubernetes and OKE, identity, observability and infrastructure as code. Architecture and deployment are agreed with your cloud and security teams.

Cloud architecture and infrastructure as code

Scoped per environment

Scope architecture
02 :

Production Readiness Review

ENTRY POINT

For an AI agent approaching launch or experiencing production issues. We review orchestration, failure handling, integrations, human handover and monitoring. You receive prioritized findings and a remediation plan your team can implement.

Findings and remediation plan

Two weeks

Start with this
03 :

Agent to Production

We design, build and integrate agents for Oracle Fusion using AI Agent Studio and, where appropriate, Oracle Digital Assistant. Delivery includes the required integrations, failure handling and operating documentation for your team.

Delivered in healthcare, hospitality, retail and aerospace

Weeks, scoped per use case

Scope deployment
04 :

Transaction-Safe Workflow Engineering

For agents that process transactions, manage approvals or take action across systems. We build explicit workflows with validation, controlled data access, defined failure handling and human review where required.

See the workflow architecture

Scoped per process

Scope workflows
05 :

Enablement

Your engineers build agents alongside ours. We review architecture, integrations and operating practices, and coach your team to develop and maintain the systems independently.

Delivered alongside deployments for a US medical center and an aerospace manufacturer

Scoped per team

Discuss enablement

Operate

06 :

Live Handover

Connect your assistants to human support in Microsoft Teams. Occamonics Handover™ manages queues, transfers conversation context and controls sessions when an assistant escalates a request.

Scoped per deployment

Connect Handover™
07 :

Agent Operations

Monitor and operate your assistants with Occamonics Ops Platform™. We deploy it in your cloud and adapt its operational visibility and automation to your environment.

Scoped per environment

Deploy Ops Platform™

Northwell Health uses a single digital front door for 87,000 healthcare workers. Routes questions to the right assistant, flow or human based on clinical role and permission.

90%zero human touch

2,000interactions a day

17,000queries on day one

Yum! Brands uses a digital assistant for store managers across 55,000 KFC, Pizza Hut and Taco Bell locations. It handles missed time punches and IT requests in Oracle HCM.

95%call reduction

Further work includes production AI agents and builder training for a US academic medical center; an assistant, OCI Generative AI and backend integrations for a UK retail-analytics firm; and a workforce assistant with weekly engineer training for a US aerospace manufacturer.

Read our customer stories →

“The team at Occamonics were instrumental in helping us achieve our goals for a quick deployment. They helped align us to best practices and navigate around conversational pitfalls and complexities that we wouldn't otherwise have been prepared to address.”

Ken Chrin, Senior Director, HRIS, UPMC

Models interpret.
Workflows control execution.

An agent that takes action needs more than a language model. Models interpret requests and generate explanations. Explicit workflows validate inputs, control data access and execution, handle failures and route decisions to human review when required.

Validation, execution and failure handling.

Workflow demonstration

Request flows to LLM interpretation, then code validation. Only valid requests reach the fetch plan. Salary, payslip, deposit and garnishment load in parallel. Composition waits for all four loads; execution requires validation, and audit records the outcome. A validation failure branches to human review and terminates there. Execution stays unavailable. This is a representative diagram, not a live customer system.

01

Request

Payroll question

COMPLETE
02

LLM interpretation

Intent · ambiguity

COMPLETE
03

Code validation

Validate before access

COMPLETE
04

Fetch plan

Required data only

COMPLETE
05

Parallel loads

  • Salary
  • Payslip
  • Deposit
  • Garnishment
COMPLETE
06

Composition

Wait for all four loads

COMPLETE
07

Execution

Requires validation

COMPLETE
08

Audit

Record outcome

COMPLETE
Validation fails → defined failure path

HUMAN REVIEW

Failure path ends here.

DEFINED · TERMINAL

Audit complete. Execution controlled.

Control before action. Human review by design.
Representative transaction workflow, based on a delivered payroll-agent architecture. Every node and failure path shown exists in delivered code.

We use AI where it helps and conventional software where it is the better choice.

Discuss your workflow with an engineer →

Who you work with.

Ryan Patrick, CEO.Five years as VP for Emerging Technology inside Oracle's HCM Development Centre of Excellence; designed and ran the Early Adopter Program for the HCM Digital Assistant.

Ahmed Kallel, Director of AI.Occamonics' first engineering hire; built core components of every enterprise AI deployment in the company's history.

Ali Sbiaa, Director of Engineering. Brings systems reliability experience from Cisco and AWS. Leads OCI architecture, cloud infrastructure engineering and the Ops Platform.

You work directly with the engineers designing your cloud architecture, building integrations and developing agents.

We work with your security, architecture and procurement teams throughout delivery. Before deployment, we agree data residency, access controls, model access and audit requirements with your security team.

BOOST YOUR CLOUD

Tell us what the system needs to do.

Tell us what you need to build or improve, the systems involved and your requirements. We will discuss the architecture, scope and next steps with you.