Integrations that fail loudly, retry safely and never silently lose a record.
What you get
- The right integration pattern chosen for each interface, and documented
- Idempotent, retry-safe interfaces that tolerate downstream outages
- Callout volumes engineered inside governor and API limits
- Monitoring and alerting so failures surface before customers notice
What usually brings people to us
Silent data loss
Synchronous callouts with no retry queue. The downstream system has a bad afternoon, records vanish, and nobody finds out until month-end reconciliation.
Governor limits hit in production
Integrations built against test volumes that break the moment real traffic arrives — callouts in loops, uncommitted work pending, row locks under concurrency.
Point-to-point spaghetti
Every new system wired directly to every other one, until nobody can change an API without breaking three unrelated processes.
What we deliver
- 01
Integration architecture
Interface catalogue, pattern selection per interface, canonical data model, error-handling strategy and security model — documented and reviewed before build.
- 02
API & middleware build
REST and SOAP services, named credentials, external services, platform events, Change Data Capture, and middleware orchestration where it belongs.
- 03
Resilience engineering
Idempotency keys, dead-letter queues, exponential backoff, bulkified processing and circuit breakers so a partner outage degrades gracefully.
- 04
Observability
Structured integration logging, failure dashboards, and alerting routed to the people who can act — not buried in debug logs.
Typical stack
- REST & SOAP APIs
- Platform Events
- Change Data Capture
- Named Credentials
- External Services
- Bulk API 2.0
- AWS
- Stripe
- DocuSign
- QuickBooks
- Outlook
Related work
- Ecommerce & Retail
Automating order-status support with Agentforce and Service Cloud
Inbound order-status email now creates a case, extracts the order references, retrieves live order data and drafts a complete reply for the agent to review and send.
Read case study - Finance & Fintech
Rebuilding integrations that were silently losing records
A set of synchronous, fire-and-forget callouts rebuilt as resilient, observable interfaces with retry, idempotency and reconciliation reporting.
Read case study
Integration & Architecture — common questions
Only when the interface count and transformation complexity justify it. For a handful of interfaces, native Salesforce integration with proper error handling is cheaper and easier to own.
Usually. Options include database-level replication, scheduled file exchange over SFTP, or a thin service layer in front of the legacy system. We will tell you the trade-offs honestly.
We model expected call volumes during design, prefer bulk and event-driven patterns over per-record callouts, and instrument consumption so you see headroom before you run out of it.
Related services
Have a integration & architecture problem worth solving?
Send us the specifics — current state, what has been tried, and what success looks like. You will get a considered technical response, not a brochure.
24/7 support — response within one business hour