Can this replace a no-code automation tool we already use?

Sometimes it should. No-code tools are effective for simple, low-volume connections. They become a liability when the logic grows complex, when failures are invisible, or when the business depends on a workflow nobody can inspect or test.

How do you handle a provider that changes its API?

Incoming data is normalized into an internal shape rather than used directly, so a provider change is contained at the boundary. We also track deprecation notices for connections we maintain.

What happens if the same webhook arrives twice?

Events are processed idempotently against a stable event identifier, so a duplicate delivery produces no additional effect. This is assumed behavior, not an edge case.

How will we know an integration has stopped working?

Every connection reports its last successful run and current state, and conditions that need human action — repeated authorization failures, sustained errors, stalled queues — raise an alert to a named owner.

Automation and API Integrations

Integrations That Keep Working After the Happy Path

Connecting two systems is straightforward on a good day. What determines whether an integration is trustworthy is how it behaves when a token expires, a rate limit is reached, a webhook arrives twice, or a response comes back half complete.

We design for those conditions first, then automate the work that people are currently doing by hand between systems.

The problem

What This Work Addresses

These are the conditions that usually lead a business to this kind of engagement. Recognizing one or two of them is common; recognizing most of them is a strong signal.

The same record entered in two places

Manual re-entry costs time twice: once to type it, and again when the two copies disagree and someone has to work out which is correct.

Exports and imports as a weekly ritual

Spreadsheet transfers between systems are a process that has no owner, no validation, and no record of what changed.

Silent integration failures

An integration that stops working without telling anyone is worse than no integration, because the business keeps acting on data that stopped updating.

Duplicate or out-of-order events

Providers retry webhooks and deliver events out of sequence. Without idempotency and ordering, that produces duplicated orders and incorrect state.

Authorization that expires quietly

OAuth grants get revoked and refresh tokens expire. The system needs to notice, tell someone specific, and hold pending work rather than discarding it.

Scope

Typical Systems and Workflows

A representative range rather than a fixed menu. Most engagements deliver a subset, chosen during discovery.

Connections

REST API integrations
OAuth authorization flows and token lifecycle handling
Inbound webhooks with signature verification
Outbound webhooks for customer systems
Partner and internal service connections

Synchronization

Scheduled synchronization jobs
Event-driven updates
Reconciliation passes for missed events
Conflict rules when two systems change the same record
Data normalization and validation pipelines

Automation

Workflow automation across platforms
Bulk import and export tooling
Scheduled reports and notifications
Queued background jobs with retry and backoff
Operator dashboards for integration health

What We Evaluate Before Development

Deferring these questions is what makes software expensive to change later.

Which system is authoritative for each shared field
Whether synchronization should be event-driven, scheduled, or both
The provider’s rate limits, quotas, and documented failure modes
Authorization model: OAuth scopes, key rotation, and who owns the connection
What must never be automated because it needs human judgment
Volume and frequency, which determine whether batching is required
How a failed or partial run is detected, reported, and resumed
What is logged, and what must be excluded from logs

Typical Project Deliverables

What exists at the end of the engagement, beyond the running software itself.

Integration services with retry, backoff, and idempotent writes
OAuth connection flows including reconnection and revocation handling
Verified webhook endpoints with replay protection
Scheduled synchronization and a reconciliation path for missed events
An integration health view showing last run, outcome, and pending work
Alerting for conditions a person needs to act on
Import and export tooling with validation and error reporting
Documentation of every connection, scope, and credential owner

Security and data

Security and Data Considerations

Credentials and API keys stored server-side and never exposed to client applications
Webhook signatures verified before any payload is processed or logged
Least-privilege OAuth scopes, requested and documented per connection
Key rotation supported without downtime and without redeploying clients
Payload logging limited to what diagnosis requires, excluding personal data where possible

Integrations

Integration Considerations

Idempotency keys so a retry after a timeout corrects rather than duplicates
Ordered writes for operations where sequence changes the outcome
Backoff and queueing when rate limits are reached, rather than dropped work
Tolerance for partial responses and unexpected new fields in provider payloads
A tested plan for provider API version changes and deprecations

Verification

The States We Design and Test

Software is judged on what it does when something is missing, slow, denied, or broken. These states are specified during design, not discovered in production.

Loading: Long-running synchronization reports progress and remaining work instead of a single indeterminate spinner.
Empty: A connection with nothing to sync is clearly distinguished from a connection that has never run.
Partial: When a run processes some records and fails on others, the failures are itemized, retryable, and do not block the successful work.
Error: Failures identify the provider, the operation, and the affected records, and carry an identifier that ties the interface back to the logs.
Authorization: An expired or revoked connection is surfaced prominently with a reconnect action, and queued work is held until access is restored.

Process

How This Work Is Delivered

1
Connection and ownership mapping
Document every system involved, which fields each one owns, and what the automation is replacing.
2
Failure-mode design
Define behavior for rate limits, duplicates, partial responses, expired authorization, and provider outages before writing the integration.
3
Contract and schema definition
Normalize incoming data into a stable internal shape so provider changes do not ripple through the whole system.
4
Incremental implementation
Build one connection end to end, verify it in production conditions, then extend to the rest.
5
Verification and reconciliation
Test against sandbox and live constraints, then confirm that a reconciliation run corrects any state the event stream missed.
6
Monitoring and handover
Ship integration health visibility and alerting, with documentation of scopes, credentials, and renewal responsibilities.

Technology

Related Technologies

Selected per project against the workflow, data, security model, and expected lifetime of the software.

See the tradeoffs behind these choices

Services

Cloudflare Workers
Node.js
REST APIs
Background jobs

Authorization

OAuth
Signed webhooks
Scoped API keys

Data

PostgreSQL
Queues and job state
Transactional migrations

Common providers

eBay
Shopify
WooCommerce
Stripe
Business and marketplace APIs

FAQ

Common Questions

Can this replace a no-code automation tool we already use?: Sometimes it should. No-code tools are effective for simple, low-volume connections. They become a liability when the logic grows complex, when failures are invisible, or when the business depends on a workflow nobody can inspect or test.
How do you handle a provider that changes its API?: Incoming data is normalized into an internal shape rather than used directly, so a provider change is contained at the boundary. We also track deprecation notices for connections we maintain.
What happens if the same webhook arrives twice?: Events are processed idempotently against a stable event identifier, so a duplicate delivery produces no additional effect. This is assumed behavior, not an edge case.
How will we know an integration has stopped working?: Every connection reports its last successful run and current state, and conditions that need human action — repeated authorization failures, sustained errors, stalled queues — raise an alert to a named owner.

Custom Operational Software
Purpose-built internal and customer-facing systems designed around the processes, roles, records, and rules a business already runs on.
SaaS Platform Development
Subscription software built for multiple organizations, roles, and plans — with tenant isolation, entitlements, and billing designed in from the first schema.
Software Modernization
Replace fragile, outdated, or fragmented software while preserving the business logic the company already depends on — including the rules that only exist in the old system.

Describe the Workflow You Want to Improve

Tell us what your team manages today, where the process breaks down, who uses the system, and what a successful result would look like. That is enough to start a useful conversation.

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