01
Design around dependencies
Assess existing architecture, owners and critical integrations. Record sizing assumptions, prerequisites and acceptance criteria before product selection.
Technology ecosystem / Professional services
OpenAI
Move enterprise AI from experiment to governed use.
OpenAI business workspaces and API capabilities support enterprise AI adoption and application integration. We begin with use-case value, approved data and evaluation criteria, then design a controlled path to production with human accountability.
Vendor reference • Product availability and licensing are confirmed for each engagement.Official vendor website ↗
IRIS Technology / Delivery capabilities
Why IRIS for OpenAI
Architecture, implementation and an accountable operational handover.
Engagement deliverablesUse-case assessment, data-flow design, evaluation dataset, access controls and production acceptance criteria.
02
Implement with change control
Pilot representative workloads, validate compatibility and stage production changes with agreed rollback criteria.
03
Hand over an operable service
Deliver configuration records, test evidence and runbooks. Define support boundaries, escalation and lifecycle responsibilities.
Capabilities & products
Solution scope
Select the capabilities that meet your control objectives, application dependencies and operating model.
01
Workplace adoption
Define workspace access, acceptable use and role-based enablement for approved business workflows.
ChatGPT Business • Enterprise
02
Application integration
Connect approved data and application workflows with access controls, usage monitoring and error handling.
OpenAI API
03
Evaluation and governance
Test quality, sensitive-data exposure and escalation before relying on AI-generated decisions.
AI evaluation • Human oversight
Requirements & controls
Control objectives and evidence
Technology supports a control programme; it does not establish compliance on its own. Validate policies, operating procedures and evidence alongside implementation.
Data and tool boundaries
Document approved sources, access controls, tool permissions and safeguards against unintended disclosure.
Evaluation and human accountability
Retain test datasets, quality criteria, failure handling and approvals for consequential actions.
Before implementation
Technical questions
Questions to resolve before committing to a platform or deployment scope.
What makes an enterprise AI pilot ready for production?
Define measurable quality and failure thresholds, permitted data and human review requirements. Test realistic inputs, access boundaries and unsafe or incorrect outputs. Confirm current plan terms, API costs and operational ownership; workspace subscriptions and API usage are distinct commercial scopes.
What is confirmed before product selection and quotation?
We confirm the current product edition, supported versions, deployment options, integration prerequisites and license scope. Availability, subscription terms and required add-ons are checked for the proposed environment rather than inferred from portfolio branding.
Can the engagement include ongoing support or managed operations?
Support and managed operations can be scoped around agreed assets, responsibilities, service windows and escalation arrangements. Monitoring, change authority and vendor escalation are documented in the service scope; they are not assumed to be included with a product license.
Regional delivery
OpenAI expertise. Local accountability.
IRIS Technology delivers OpenAI architecture, implementation, migration and support scopes through established operations in Saudi Arabia and Jordan. Products, licensing and responsibilities are confirmed for each engagement.
Content reviewIRIS Technology · Updated October 2026Product reference: official vendor website
Bring your requirements into a clear technical scope.
Discuss architecture, delivery priorities, migration constraints and the operating model with our team.