ROUTE 01
Integration Delivery
Architecture, API work, payload diagnosis, monitoring and recovery across Salesforce and the surrounding operation.
Explore integrationsSALESFORCE INTEGRATIONS & DEVOPS
Connect Salesforce. Make change traceable.
We build and diagnose integrations around Salesforce, then protect platform change with source control, automated validation and clear release evidence. The result is an operating model your technical team can inspect rather than a black box it has to trust.
TWO TECHNICAL ROUTES
Use Integration Delivery, DevOps Or Both
The services can stand alone. We can diagnose or build a connection without replacing your release tooling, or improve Salesforce DevOps without changing the integrations. When a change crosses both boundaries, one team can manage them together.
ROUTE 02
Salesforce DevOps
Source control, pull requests, environment strategy, automated validation and controlled promotion.
Explore DevOpsINTEGRATION DELIVERY
Define The Boundary Before Writing The Connection
Recurring-revenue businesses often depend on Salesforce, finance, billing, service and product systems agreeing about the same customer. We make ownership, failure handling and operational support part of the integration design.
Architecture & System Ownership
Decide which system owns each record and business decision, what Salesforce needs to know and where orchestration should live.
API & Event Integrations
Build secure real-time and asynchronous connections where Salesforce needs to exchange operational data with surrounding platforms.
Scheduled & Batch Processing
Design controlled high-volume or scheduled movement with state, reconciliation and safe restart behaviour considered from the outset.
Production Diagnostics
Trace failures across logs, payloads, identifiers, permissions and recent changes, then separate data repair from the code or configuration fix.
Security & Credential Design
Use controlled identities, least-necessary access and explicit credential ownership, with sensitive configuration kept out of source code.
Monitoring & Recovery
Expose enough status and diagnostic detail for support teams to recognise a failure, recover safely and escalate with useful evidence.
SALESFORCE DEVOPS
A Release Path Matched To Your Risk
The point of DevOps is not more tooling. It is a dependable route from approved work to a known environment, with enough evidence to make the next release decision well.
- Source-controlled metadataKeep the canonical Salesforce change in a repository so it can be reviewed, reproduced and understood later.
- Useful pull requestsShow the proposed metadata delta, relevant validation and the operational reason for the change in one review surface.
- Environment disciplineDefine what each org is for, how work moves between them and which checks must pass before promotion.
- Explicit release decisionsAutomation prepares evidence and performs repeatable steps; accountable people still decide when customer-facing change moves.
DELIVERY AUTOMATION
Automate The Repeatable Work, Keep The Controls Visible
We can add reusable automation around the customer’s delivery path instead of hiding it inside a proprietary platform. AI may help prepare context, but the workflow, tests and release decision remain inspectable.
Reusable Validation Workflows
Standardise the checks, tests and target-org validation needed for common Salesforce change paths.
Metadata Evidence
Prepare a focused view of changed and destructive metadata so reviewers can see what the release candidate contains.
Case And Release Handovers
Use structured summaries and status updates so support, development and operations work from the same item.
DELIVERY OUTCOMES
Connections And Releases Your Team Can Operate
Release Evidence Became Part Of The Pull Request
We introduced reusable GitHub workflows that prepared the Salesforce metadata delta, ran relevant validation and returned environment status to the work item. Reviewers could inspect the proposed release before promotion instead of reconstructing it from manual steps.
Clearer Ownership
Teams know which system owns the data, where a decision is made and who acts when the integration fails.
Better Diagnostic Evidence
Traceable requests, responses and deployment history give support a better starting point when behaviour changes.
Repeatable Change
Validation and release steps become a known delivery path instead of a person-dependent sequence.