API Integration & Automation Services

Use no-code tools (Zapier, Make, n8n) when the workflow is simple, the logic is largely linear, the volume is moderate, and you want non-technical users to be able to see and modify it. Build custom middleware when the logic requires state across events, when conditional branches need to consult multiple systems, when performance or cost at scale becomes prohibitive, or when error handling needs to recover automatically rather than email an admin. The right answer is often both — no-code tools for the simple workflows, custom middleware for the workflows that genuinely outgrew them.

Node.js with TypeScript is our default for middleware — well-supported across cloud providers, mature ecosystem of integration libraries, and consistent with our API development work. We also use Python where ML/data-processing is involved, and serverless functions on AWS Lambda or Cloudflare Workers for event-driven workflows with bursty traffic. Database choice (PostgreSQL or Redis for state) is driven by the workflow's persistence requirements.

Almost always. If the system has any kind of programmatic interface — REST API, GraphQL, SOAP, JDBC database access, file-based exports — we can integrate with it. Legacy systems sometimes have undocumented APIs, RSS feeds, or scraped interfaces that we can work with at the cost of higher fragility. Where no interface exists at all, we work with you to identify the best alternative path (manual exports, file-drop integration, or vendor escalation).

Conflict resolution is a design decision, not a default. During scoping we agree the rule — last-write-wins, merge by field with priority order, manual review for specific fields, or one system as the canonical source of truth. The rule is implemented in code rather than left implicit, so behaviour under conflict is deterministic and predictable.

Yes — multi-system workflow orchestration is a significant part of what we build. Lead capture → CRM → enrichment → sales notification → calendar booking → marketing follow-up; order received → payment confirmed → inventory updated → fulfilment notified → customer messaged → accounting recorded. The workflow is implemented as a coordinated sequence with explicit failure paths, not a chain of brittle point-to-point connections.

Every workflow gets a live dashboard showing trigger rate, success rate, failure rate, queue depth, and latency. Alerts route to engineers with active triage when something drifts. Failed events land in dead-letter queues for human review rather than disappearing. Reconciliation jobs catch silent drift between systems before it shows up in operational reports.

It depends on the workflow. For workflows where the logic genuinely needs to be modifiable by operations — typically things like routing rules, threshold values, or template messages — we build a small admin interface or use a feature-flag system so non-technical users can adjust those parameters. For workflows where the logic is structural (the steps themselves changing), engineering involvement is usually appropriate and we offer that on retainer.

Custom API development builds APIs from scratch — endpoints, contracts, authentication, data model. API integration & automation connects existing systems and orchestrates workflows between them. The two services are often combined — for example, building a custom API and the automation workflows that consume it — and we scope them together when both are required.

Yes. Workflows evolve as your operations evolve. We offer fixed monthly retainers covering small iterations, monitoring, version migrations when third parties change their APIs, and incident response when something upstream breaks. Pairs naturally with our managed UK hosting and API testing & monitoring services for fully-supported production automation.