From a working AI capability to a working business system

AI integration & delivery

Integrate AI agents with the systems, data, controls and people already in your workflow.

Start with what your business needs. We’ll help you work out the next step.

Discuss your project

Connect AI agents to the systems where work happens

An agent can prepare a useful result without being able to deliver it into the business process. Integration closes that gap: it defines how requests arrive, how approved information is retrieved, how a proposed action is reviewed and how its outcome is recorded. Open for AI scopes AI integration and delivery for organisations in Saudi Arabia around these concrete handoffs.

This service is appropriate when the intended workflow is sufficiently clear and the remaining challenge is connecting, testing and operating it. If the use case or value is uncertain, begin with agentic AI consulting. If the underlying agent does not yet exist, review custom development.

Start with an interface and ownership inventory

Identify each application, its owner, the information required and the operations being proposed. A documented API, an export process and a manually maintained spreadsheet create different delivery constraints. The plan should distinguish a supported connection from a dependency that has not yet been verified.

For every proposed integration, clarify authentication, permissions, request and response formats, error behaviour and any rate or usage limits supplied by the system owner. Access approval belongs to that owner. We should not assume that a public product description authorises access to your private business systems.

Read access and write access are different decisions

Retrieving approved information for a draft is different from modifying a record, sending an email or initiating a workflow. A connection should request only the permissions required for its defined responsibility. Changes with a material consequence may need a review gate, an audit record or a separate execution identity.

Human approval must apply to the action actually executed. If content changes after review, the workflow needs to determine whether a fresh approval is required. This design detail matters more than simply adding an “Approve” button to an interface.

Design for failed and repeated requests

Systems can be unavailable or respond incompletely. A useful implementation defines timeouts, retries, exception queues and what the user sees while the result is uncertain. An agent should not report success merely because it submitted an API request.

For write operations, repeat submissions require particular care. Where the connected system supports it, use an idempotency reference or another agreed mechanism to distinguish a retry from a new action. Verify the recorded outcome and provide a clear path for a person to reconcile an unresolved case.

Test the handoffs, not only the model response

Test areaExample acceptance question
InformationWas the correct permitted source read for this user?
ApprovalDoes the reviewed action match the submitted action?
ExecutionWas the change recorded once in the intended system?
FailureCan the user distinguish pending, failed and completed work?
RecoveryCan the owner investigate and resolve an incomplete handoff?

Include a representative Arabic and English test set when both languages are in scope. Check names, dates, time zones, attachments and fields at the destination, not just in the source interface. The exact checks depend on the workflow and are agreed with its owner.

Plan the move into operation

A delivery plan can include a staging environment, configuration records, deployment steps, logging, alert ownership and rollback instructions. Agree who maintains credentials, reviews errors and approves future changes. A handover is incomplete if only the original developer knows how to operate the service.

Hosting and data-handling arrangements should be settled for the deployment. This includes where application data travels, which external services are involved and what retention is appropriate. We discuss these with your technical and organisational owners rather than claiming that every integration has identical requirements.

Integrating our platforms

Forge, Post and Echo have separate product journeys. A feature visible in one platform should not be assumed to exist in another. Echo's public demonstration in particular uses simulated downstream actions; operational system connections need separate scoping and validation.

To discuss an integration project, describe the starting system, the destination, the required action, the approval owner and the available interface documentation. Do not send credentials through the enquiry form.

FAQ

Your questions, answered.

Does this include every CRM or enterprise system?

No. We assess the interfaces, permissions and required operations of each system before agreeing an integration scope.

Is an approved action always executed automatically?

The behaviour depends on the agreed workflow and connected system. The design must distinguish submission, verified completion and exceptions that need human attention.

Can an existing AI prototype be integrated?

It can be assessed for suitability. We review its task boundaries, interfaces and evaluation results before planning the transition into a business workflow.

LET’S WORK TOGETHER

Ready to build what’s next?

Tell us about your project or the platform you want to explore, and we’ll come back to confirm a suitable time.