Software & Web
API Development and Integration Services
About API Development & Integration
Integration debt is the most expensive kind of technical debt because it compounds across teams. Every point-to-point connection someone wires up in a hurry becomes a dependency nobody owns, breaks silently when an upstream field changes, and makes the next integration harder. The organisations that move fastest are not the ones with the most APIs — they are the ones whose APIs are designed, versioned, documented and monitored as products in their own right.
We treat API work in two halves. Building APIs: contract-first design where the OpenAPI or GraphQL schema is agreed before implementation, with consistent resource naming, sane pagination, cursor stability, idempotency keys on writes, structured error envelopes, and a versioning policy that lets you evolve without breaking consumers. Integrating systems: connecting ERPs, CRMs, payment processors, carriers, identity providers and data warehouses behind an anti-corruption layer, so a vendor's schema change becomes a contained fix rather than a cross-team incident.
Reliability is where most integrations quietly fail. We build in exponential backoff with jitter, circuit breakers around every third-party dependency, dead-letter queues for poison messages, replayable event logs, and idempotent consumers so an at-least-once delivery guarantee does not translate into duplicate charges. Every integration ships with synthetic monitoring that exercises the real path on a schedule, so you find out from an alert rather than from a customer.
Deliverables include the running service, generated and hosted documentation, a Postman or Bruno collection, contract tests in CI, and a runbook covering the specific failure modes of each dependency. Whoever inherits it can operate it.
Why it matters
What you get
Contract-first, so consumers are never surprised
OpenAPI or GraphQL schemas are agreed and mock-served before implementation, letting client and server teams build in parallel.
Resilient by design
Retries with jitter, circuit breakers, dead-letter queues and idempotent writes mean a flaky upstream degrades gracefully instead of cascading.
Security that survives an audit
OAuth 2.0 / OIDC, scoped tokens, mTLS where warranted, rate limiting, request signing and full audit logging as standard.
Documentation people actually use
Generated reference docs, runnable examples, a client collection and a changelog — kept current automatically from the schema in CI.
Observable in production
Distributed tracing, per-endpoint latency and error budgets, and synthetic checks that exercise real integration paths on a schedule.
How we deliver
Our process for this work
Adapted to this service specifically — not a generic five-box diagram.
- 01
Systems & data mapping
1–2 weeksInventory of systems, data ownership, sync direction, volume and latency requirements. Identifies the true system of record for every entity.
- 02
Contract design
1–2 weeksSchema authored and reviewed with consumer teams, mock server published, error taxonomy and versioning policy agreed.
- 03
Implementation & hardening
3–10 weeksService build, auth, rate limiting, resilience patterns, contract tests wired into CI, and load testing to the agreed throughput target.
- 04
Rollout
1–2 weeksStaged migration behind feature flags, dual-running against the legacy path where it exists, and a documented cutover with rollback.
- 05
Monitor & evolve
OngoingSynthetic monitoring, dependency health dashboards, deprecation management and support for new consumers as they onboard.
Proof
Where we have done this
A supply chain control tower that surfaces exceptions before they land
A real-time visibility platform unifying 19 carrier feeds, with predictive ETAs and exception routing that reaches an operator while options still exist.
- Reduction in late-delivery penalties
- 61%Reduction in late-delivery penalties
- Systems an operator monitors
- 19 → 1Systems an operator monitors
- Average earlier exception detection
- 4.5 hrsAverage earlier exception detection
Rebuilding a lending origination platform around an event-sourced ledger
An event-sourced origination platform replacing a spreadsheet-and-email process, with decisioning, audit trail and reconciliation built in.
- Median time to credit decision
- 4.2 days → 6 hrsMedian time to credit decision
- Applications processed per underwriter
- 3.1xApplications processed per underwriter
- Decisions reconstructable for audit
- 100%Decisions reconstructable for audit
Answers
API Development & Integration — common questions
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