CRM and enquiry connections
Join forms, inbox workflows and customer records. Agree how contacts are matched, what is updated and where follow-up work belongs.
Good software is more useful when the right information can move between it. Dragon AI connects business systems, designs API integrations and makes the handovers easier to understand and maintain.
Talk through your systemsThe booking is in one platform, the customer details in another and the invoice somewhere else. A change in one place means remembering to update the others. When records disagree, somebody has to work out which version to trust.
We design connections around ownership of information: which system creates a record, what each destination needs and what should happen if the connection fails. The aim is a dependable flow of useful data, with the exceptions visible to the people who can resolve them.
Join forms, inbox workflows and customer records. Agree how contacts are matched, what is updated and where follow-up work belongs.
Move the details needed for scheduling, fulfilment or internal tasks. Handle amendments and cancellations as part of the design.
Prepare consistent records for finance and reporting workflows, with reconciliation checks and appropriate review before consequential changes.
Build supported connections between applications, or plan the transfer to a new platform with field mapping, validation and a rollback approach.
Staff copy booking details into a customer record and a planning sheet. An amended booking leaves one destination out of date, and the team has to reconcile the difference.
The booking platform owns the booking record. Agreed updates flow to the other systems using a stable reference. Failed updates are held for review, with enough context to retry safely.
Define identifiers, fields, ownership and permitted changes.
Handle creation, updates and cancellations without duplicating work.
Test repeated events, missing fields and unavailable destinations.
An illustrative engagement. We agree the actual scope, access and success measures with your business.
The engagement has a clear scope and a tangible handover. We agree the deliverables before work starts.
Discuss the scopeWhat connects to what, the record each system owns and the direction information travels.
Field mappings, identifiers, permissions, triggers and exception behaviour.
The agreed API or supported integration, with validation and duplicate handling appropriate to the workflow.
Logs, alerts or a review queue suited to the process, so a failed handover does not silently disappear.
Configuration, access ownership, vendor dependencies and the checks needed when systems change.
Identify the systems, owners, record types and the business events that connect them.
Review supported APIs, authentication, usage limits and data quality before committing to an approach.
Build the handovers and test both ordinary events and failure scenarios.
Agree validation, cutover and rollback steps, then document ongoing ownership.
Questions about your own setup?
Let’s talk it through
We assess the specific tools you use. Systems with documented APIs, webhooks or supported connectors are common candidates. The answer depends on your plan, available permissions, vendor restrictions and the information that needs to move. We confirm feasibility before agreeing implementation.
We check supported import and export options and whether the vendor offers another reliable connection. If the only option is fragile or unsupported, we explain the trade-offs and alternatives. We do not assume every platform can be connected safely or maintained economically.
We agree a stable record identifier, matching rules and which system owns changes. The implementation can then recognise repeated events and make updates rather than creating new records unnecessarily. Ambiguous matches should be reviewed instead of silently guessed.
That depends on what the systems support and what the workflow needs. Some can use events or webhooks; others require scheduled checks or batch transfers. We agree an appropriate update frequency and explain delays and failure behaviour.
Yes. We can scope data mapping, cleanup, test transfers and reconciliation alongside the new connections. A migration needs a clear cutover plan, access to the necessary exports and a practical way to recover if validation fails.
The number of systems is only part of it. Data quality, matching rules, vendor limitations, testing environments and exception handling also matter. We check these before pricing and identify ongoing platform or maintenance costs separately.
Tell us what you’re working on. We’ll help you find a practical next step.
Talk through your systems