Common landscapes we design for
CRM/ERP/product triplets, partner APIs, payment-adjacent providers, and mobile/web backend contracts.
API Integration
API integration that fails visibly and recovers cleanly
Broken integrations are expensive because they hide. SKAD designs and implements interface work with explicit contracts, ownership, observability, and recovery tooling across product, CRM, ERP, and partner systems.
Clear ownershipDecision rights mapped early
Reviewable deliveryVisible work and release cadence
Maintainable handoffDocumentation built into delivery
What this unlocks
A delivery path built around your constraints.
This page is for teams connecting systems where correctness, latency, and operational ownership matter. The focus is integration architecture and run-time behavior—not a directory of connector logos or unverifiable throughput claims.
Capabilities
What the engagement can cover
What good looks like operationally
An on-call engineer can identify the failed contract, affected records, and safe replay path without reverse-engineering tribal scripts.
How this differs from custom software alone
Custom software may consume integrations; this spoke owns the connective tissue, failure semantics, and cross-system ownership model.
Business value
Make progress measurable and ownership explicit.
- Cuts silent data drift that creates support tickets, revenue disputes, and manual cleanup.
- Speeds partner and product onboarding when contracts and sandboxes are intentional.
- Reduces mean time to restore by making failures attributable and replayable.
- Clarifies engineering ownership boundaries across internal services and third parties.
How we work01 02 03
From context to controlled delivery
Frame the work
Align goals, constraints, stakeholders, systems, and release pressure.
Shape the team
Choose the engagement boundary, roles, cadence, and technical approach.
Build transparently
Ship in reviewable increments with visible risks, decisions, and handoffs.
- Inventory current integrations and undocumented tribal knowledge before adding new ones.
- Write failure stories first: timeouts, duplicate events, out-of-order webhooks, partial batch success, provider rate limits.
- Prefer contract tests and sandbox exercises over only happy-path demos.
- Decide replay authority and data repair ownership during design, not during an incident.
- Keep customer-facing product teams aligned when integration lag changes user-visible state.
Team shape
Specialists aligned to the work.
- Backend and integration engineers across Node.js, Java, .NET, and Python service ecosystems.
- Practitioners comfortable with webhook ecosystems, queue-based designs, and API gateway patterns where warranted.
- Cloud/DevOps collaborators for secure runtime configuration, secrets, and observability hooks.
- Flexible staffing via augmentation for internal platforms or outsourced integration workstreams with clear acceptance tests.
FAQ
Questions teams ask before starting
Can you document and take over existing integrations?+
Yes. Takeover usually starts with traffic and dependency discovery, credential and environment mapping, failure-mode inventory, contract documentation, and a first hardening slice such as better logging, retries, or replay tooling.
How do you handle rate limits and third-party downtime?+
With backoff/retry policies, queue buffering where appropriate, circuit breaking or degraded modes, user-visible lag messaging when needed, and operational alerts tied to provider health—not only to local process crashes.
Do you build internal developer portals or API gateways?+
When the organization needs shared standards across many consumers, yes—we can implement gateway patterns, documentation portals, and self-service conventions. Smaller estates may only need strong contracts and internal runbooks.