AI Workflow Agency
ServiceLast updated

Integration & API Development

Make your stack talk to itself before the next migration; custom APIs, webhook architectures, legacy bridges.

Service overview

Make your stack talk to itself before the next migration. We build custom APIs, webhook architectures, data sync layers, and legacy system bridges so the AI workflows above them have clean data to work with. The business impact is fewer manual handoffs and a stack that survives the next platform change without a six-month rewrite.

Engagement

What this service includes.

API design and documentation

Webhook and event architecture

Authentication and observability

What we offer

Why this service matters.

API design

Clean REST or GraphQL surfaces with versioning, pagination, and consistent error shapes, designed for the consumers you actually have, not a generic style guide.

Event-driven sync

Webhook fan-out, retries, idempotency, and dead-letter handling, so cross-system data stays consistent even when one side flaps.

Legacy bridges

SOAP-to-REST shims, file-drop polling, screen-scraping where there is no other option, all hidden behind a sane modern interface for the rest of your stack.

Integration & API integrations

Powerful AI integrations.

We pick the right model for your integration & api build, then blend providers behind a single internal interface.

OpenAI

GPT and embeddings. Broad ecosystem, strong structured-output and tool use, the safest default for general production.

Claude

Anthropic's frontier model. Our default for agents and long-context work where reasoning matters more than raw speed.

Gemini

Google's long-context multimodal family. Excellent for document and video pipelines, especially at scale.

Grok

xAI's model with live-web reasoning and a different blend of strengths. Useful for research-style and edge-case workloads.

DeepSeek

Open-weight models with strong cost-to-performance. We use it self-hosted when residency or unit economics demand it.

Perplexity

Citation-grounded search API for live-web augmented agents. Drops cleanly into RAG pipelines that need fresh sources.

Workflow ideas

Patterns we have built in integration & api.

Concrete workflows we have documented in this area. Each one ships behind your stack with the same engagement model as the service above.

FAQ

Questions about integration & api.

REST, GraphQL, or webhooks?

All three, picked per use case. REST for most internal and partner APIs, GraphQL when consumers genuinely benefit from selective fetching, webhooks for event push. The hybrid stack is normal.

How do you handle authentication?

OAuth 2 with PKCE for user-facing flows, signed JWTs or short-lived API keys for service-to-service, scoped tokens with rotation. Auth design happens before the first endpoint, not after.

What about rate limiting and retries?

Idempotency keys for write paths, exponential backoff on the consumer side, server-side rate limits with informative headers. Resilience patterns are baked into the integration, not bolted on.

Can you integrate with our legacy SOAP or mainframe system?

Yes. We have wrapped SAP, Dynamics, AS/400, and a fair share of internal tools written before some of our team were born. We hide the legacy contract behind a clean modern API the rest of the stack can rely on.

Get started

Ready to automate your operations?

Walk away with a prioritised list of automation and AI wins, costed, sequenced, and yours. The call is 30 minutes, free, and binds you to nothing. The shortest path to knowing whether AI Workflow Agency is the right fit.