System Integration & API Connectors
Connecting your CCMS to engineering, support, PLM, and translation systems — so content flows without manual handoffs.
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The Cost of Disconnected Systems
When your content systems don’t talk to each other, your team pays the price every day.
Manual Handoffs
Writers check JIRA for updates, copy ticket details into the CCMS, email translators with file packages, and manually upload finished content to the portal. Every handoff is a delay — and a place where information gets lost or garbled.
Version Drift
Engineering ships v2.4 but the knowledge base still reflects v2.3. Support agents answer tickets with outdated procedures. Customers find contradictions between the help portal and the PDF they downloaded last month. Disconnected systems make version mismatch inevitable.
Compliance Exposure
In regulated industries, you must prove that the published document matches the approved source, that translations are current, and that every change is auditable. Manual processes leave gaps that auditors find — and that cost you.
The Connected Content Ecosystem
Documentation lives between Engineering and the end user. We build the middleware, webhooks, and API connectors that eliminate the “swivel-chair” copy-paste between systems.
JIRA / Azure DevOps → CCMS
When an engineering story moves to “Done,” our connector automatically creates a content task in the CCMS, pre-populates metadata (product, version, component), and assigns it to the mapped writer. Zero lag between code-complete and doc-start.
Git → DITA Sync
Developer-authored Markdown or MDITA in Git repositories is bidirectionally synced with the official DITA CCMS. Our pipelines convert, validate, and merge — preserving authoring freedom without sacrificing structural governance.
Salesforce / Zendesk / ServiceNow
Push troubleshooting guides and knowledge articles directly to the support agent’s console. When a ticket is filed for a known issue, the connector surfaces the exact DITA topic — significantly reducing average handle time.
Translation Management (TMS)
XLIFF round-trip integration with Trados, memoQ, Memsource, and XTM. We export only changed segments, route to the right TMS workflow, and auto-import translated content back into the CCMS — fully validated.
PLM / ERP Systems
Link DITA content to part numbers, BOMs, and engineering change orders in Windchill, Teamcenter, or SAP. When a part revision changes, the content link flags affected documentation for review automatically.
CI/CD Publishing Pipelines
GitHub Actions, Jenkins, and Azure DevOps pipelines that build, validate, and deploy documentation on every commit. We treat docs as code — with the same rigor as your software release process.
Integration Architecture
Every connector follows our event-driven architecture pattern — loosely coupled, fault-tolerant, and auditable.
Event Source
JIRA · Git · PLM · TMS
Any system that emits an event when content needs to move — ticket transitions, branch merges, part revisions.
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Middleware
Webhook / REST · Mapping Logic
Receives the event, maps source fields to your CCMS schema, and handles retries and dead-letter queues.
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CCMS API
Create · Update · Link Topics
Calls your CCMS to create or update the right topic, set metadata, and link back to the originating record.
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Validate
Schema Check · Business Rules
Confirms the resulting content conforms to your DITA schema and editorial governance before it's released.
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Notify
Email · Slack · Dashboard
Tells the right person — writer, reviewer, or dashboard — that work is ready to pick up.
No Vendor Lock-In
We build to open standards — REST APIs, XLIFF 2.1, CMIS, and OAuth 2.0. If you switch your CCMS, TMS, or issue tracker, the integration layer adapts — not your entire workflow.
Technology Stack
What we build with — open, maintainable, and chosen to fit your existing infrastructure.
Node.js & Python
Lightweight middleware services for webhook handlers, API connectors, and data transformation scripts. Fast to develop, easy to deploy, and well-supported by cloud platforms.
Java & .NET
Enterprise-grade integration services for high-throughput pipelines, complex business logic, and environments where Java or C# is the organizational standard. Spring Boot, Quarkus, or ASP.NET Core.
Apache Kafka & MQ
Event streaming and message queues for asynchronous, decoupled integrations. Content change events flow through Kafka, RabbitMQ, or AWS SQS — ensuring no message is lost even if a downstream system is temporarily offline.
REST & GraphQL APIs
RESTful connectors for standard CRUD operations. GraphQL endpoints where consumers need flexible, field-level content queries. We conform to your API governance standards — OpenAPI specs, versioning, and rate limiting.
iPaaS & Low-Code
When the toolchain warrants it, we use integration platforms — Workato, MuleSoft, or Azure Logic Apps — for rapid connector development with built-in monitoring, retry logic, and visual workflow design.
Docker & Kubernetes
Containerized deployment for every integration service. Reproducible builds, horizontal scaling, and platform-agnostic hosting — on AWS, Azure, GCP, or your on-premise infrastructure.
Security & Compliance
Integrations move data between systems. We ensure every connection is secure, auditable, and compliant with your regulatory requirements.
Authentication & Authorization
OAuth 2.0, SAML, API keys with rotation policies, and service-account management. Every connector authenticates with the minimum privileges required — no shared admin credentials, no hardcoded secrets.
Data in Transit & at Rest
TLS 1.3 for all API traffic. Sensitive content payloads encrypted at rest in message queues and staging stores. We map data flows and classify content sensitivity so encryption policies match your governance framework.
Audit Trails & Compliance
Every integration event is logged — who triggered it, what changed, when, and where. Logs feed into your SIEM or compliance reporting platform. We design for SOC 2, HIPAA, FedRAMP, and ISO 27001 requirements from day one.
Ongoing Support & Monitoring
Integrations aren’t “set and forget.” APIs change, tokens expire, schemas evolve. We keep your connectors healthy after deployment.
Proactive Monitoring
Dashboards tracking message throughput, error rates, latency, and queue depth for every connector. We set up alerts in your monitoring stack (Datadog, Grafana, CloudWatch) so issues surface before they impact writers.
API Change Management
When a vendor updates their API (JIRA Cloud, Salesforce seasonal releases, CCMS version upgrades), we regression-test your connectors against the new version, update the integration code, and redeploy — before the breaking change goes live.
Incident Response
When a connector fails, our runbook-driven response identifies the root cause, replays failed messages from the dead-letter queue, and restores the pipeline. Post-incident reviews produce permanent fixes, not recurring workarounds.
How We Deliver
Every integration engagement follows a structured process — from discovery to production, with your team involved at every stage.
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Discovery
Map your toolchain, data flows, and automation goals.
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Design
Architecture blueprint with API contracts and error handling.
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Build
Iterative development with staging environment testing.
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Deploy
Production rollout with rollback procedures.
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Operate
Monitoring, maintenance, and continuous improvement.
- Templated
Pre-Built Accelerators
For common integrations (JIRA → CCMS, CCMS → TMS, Git → DITA), we start from proven connector templates — not a blank slate. This cuts implementation time significantly and reduces risk with battle-tested patterns.
- Bespoke
Custom Connectors
For unique workflows (PLM → DITA, proprietary ERP, legacy systems), we design and build bespoke connectors. Every custom integration comes with API documentation, admin runbooks, and automated tests.
- Handoff
Knowledge Transfer
We document every connector, train your team to troubleshoot common issues, and provide the source code. You’re never locked into our services — your team can maintain and extend the integrations independently.