01
Handle failures
Make requests safe to retry and failed records easy to find.
- Duplicate protection
- Retries with time limits
- A queue for failed records
- Logs from source to destination
Connect your business systems.
We build and repair integrations between the tools you use. Data moves automatically, failures are visible, and your team can maintain the code.
The problem
Keep data consistent.
A connection needs to handle failed requests, duplicate events and changing data.
Duplicate records
Retried requests create extra orders, invoices or messages.
Missing data
A job stops partway through without reporting what was missed.
Unmanaged access
Connections depend on personal accounts or expired credentials.
No change history
Your team cannot trace which system changed a record.
How we work
02
Limit access
Give each integration its own credentials and only the permissions it needs.
- Dedicated service accounts
- Minimum permissions
- Secure credential storage
- Documented credential rotation
03
Check the results
Compare records across systems and alert your team to mismatches.
- Scheduled data checks
- Safe replay of failed jobs
- Alerts with useful context
- Troubleshooting instructions
Systems we connect
If your system is not listed, ask us about it.
Identity & access
Accounts, permissions, groups and licences.
- Microsoft Entra ID
- Microsoft Graph
- Okta
- Active Directory
- Keycloak
Service management
Tickets, asset records and support workflows.
- ServiceNow
- Confluence
- GitLab
- GitHub
ERP & operations
Orders, invoices, product records and partner data.
- SAP
- SAP Fieldglass
- EDI (X12 / EDIFACT)
- Oracle Integration Cloud
- Microsoft Dynamics 365
- Business Central
CRM & marketing
Contacts, sales pipelines and campaigns.
- Salesforce
- HubSpot
- Dynamics 365 Customer Insights
- Slack
Commerce & payments
Catalogues, pricing, orders and payments.
- Shopify
- WooCommerce
- Stripe
- Twilio
Finance
Accounting records, company accounts and reports.
- QuickBooks
- NetSuite
- Power BI
- Microsoft SQL Server
Data & AI platforms
Data storage, processing and AI services.
- Snowflake
- Snowflake Cortex
- BigQuery
- Databricks
- Firebase / Firestore
- Model Context Protocol servers
Content management
Product information, media and publishing.
- Sitecore XM Cloud
- Stibo STEP
- Payload CMS
- Craft CMS
Project options
Indicative timelines. We confirm scope, cost and schedule before starting.
1 to 2 weeks, fixed price
Repair an integration
Find and fix the cause of repeated failures.
Result
A tested repair with recovery steps and alerts.
3 to 6 weeks per system
Build an integration
Connect two systems, from field mapping to monitoring.
Result
A documented integration your team can maintain.
Monthly
Ongoing support
Maintain connections, respond to failures and handle vendor changes.
Result
An agreed support plan for your integrations.
- 01 Code and tests in your repository
- 02 Field mappings and data rules
- 03 Checks for missing or inconsistent records
- 04 Credential setup and rotation instructions
- 05 Alerts and troubleshooting guides
- 06 A handover session with your team
Common questions
Do we need custom code?
Not always. A low-code tool may suit simple workflows. We recommend custom code when volume, logic or audit requirements call for it.
Can you connect a system that is not listed?
Tell us which one. We will check its API and data access options.
Can you take over an existing integration?
Yes. We review the code and configuration before recommending changes.
Who owns the code?
You do. We work in your repository from the start.