What does this service deliver?
We choose each connection method with maintenance and failure handling in mind.
Less repetitive data entry
Visible and traceable failures
Data flows designed for temporary outages
Automation & System Integration
Dependable data flows for automation and integration.
We connect ERP, CRM, ecommerce, accounting and other business systems through controlled data flows, automating repetitive work where it is appropriate.
What is included?
The quality of an integration becomes clear when a connection fails.
A connection merely working is not enough. The authoritative source for each record, what happens during an outage, how errors become visible and whether an operation can be retried safely must all be defined in advance.
We use APIs, webhooks, event-driven flows or scheduled transfers according to the requirement, adding queues, retry rules, dead-letter handling, reconciliation and central monitoring where needed. For legacy systems without a suitable API, we assess RPA or file-based methods together with their risks.
Service scope
What the engagement can include
Integration architecture
We define data ownership, flow direction and failure scenarios between systems in a clear integration architecture.
API development and management
We develop APIs with authentication, versioning, logging and error handling.
ERP, CRM and ecommerce connections
We synchronise order, customer, inventory, invoice and operational data in both directions.
Event-driven integration
We pass critical changes through events to reduce delay and avoid unnecessary coupling between systems.
Workflow and RPA
We automate repetitive desktop and back-office work using defined rules and recorded transactions.
Error handling and monitoring
We queue failed operations, generate alerts and provide controlled ways to run them again.
Technologies considered for the project
REST & GraphQLWebhooksMessage queuesERP / CRMRPAMonitoring
The final stack depends on your current environment, team and requirements.Decision guide
When is this service a good fit?
When data is still being moved between systems by hand.Current situation
The same data is entered into several systems
How we approach it
We define data ownership and flow direction, then build controlled API and event connections.
Intended outcomeLess duplication and more consistent records
Current situation
A failed connection causes missing data
How we approach it
We add queueing, retry rules, dead-letter handling, alerts and transaction records.
Intended outcomeA flow where failures are recorded and operations can be run again safely
Current situation
Repetitive desktop work is consuming the team's time
How we approach it
Where an API is unavailable we assess controlled RPA; where it is available we prefer service-based automation.
Intended outcomePeople focus on exceptions and decisions that require approval
Describe the current process and where time is being lost today.Discuss your integration requirement ↗
Frequently asked questions
Common questions about current systems and the implementation plan.
Can legacy systems without an API be integrated?+
Database, file, messaging or controlled RPA options may be possible. We make the security and maintainability risks explicit.
Does every integration need to be real time?+
No. We choose real-time events, API calls or scheduled batch flows according to the business requirement and avoid unnecessary complexity.
Will data be lost if one system is unavailable?+
Queues, idempotency controls, retry rules, dead-letter handling and reconciliation can reduce the risk of data loss during temporary outages.
Who will monitor the integrations?+
A monitoring view, response runbook and ownership list can be included. Managed 24/7 operations can also be added where required.
How are timescale and cost determined?+
Timescale and cost are set after we understand the scope, current systems, integrations, data migration, testing and support requirements. We do not promise a fixed duration or price without this information.