API Integration Services That Tell You When an Integration Stops Working
Connecting systems is the easy half. Our API integration services build the half that decides whether it holds: error handling, retry behaviour and reconciliation, so a record dropped between two platforms surfaces as an alert rather than as a month-end discrepancy.
Map Your Integration PointsEvery Integration Has Three Parts, and Most Projects Build One
The method matters more than the technology here. Contract first, failure behaviour second, reconciliation third, because the integrations that cause damage are not the ones that fail loudly.
Every integration has three parts and most projects build one. The first is the connection, which is the part that gets demonstrated. The second is what happens when the other end is slow, down, or returns something unexpected. The third is how anybody would know a record went missing.
Skip the second and third and the integration works for a fortnight. Then a supplier’s API rate-limits during a busy hour, thirty orders never arrive, and nobody notices until somebody reconciles a total by hand. We build all three, which is why the alerting is part of the scope rather than a later phase.
Some are copying data between two screens because a promised connection was never finished. Some found a month-end discrepancy and traced it to an interface nobody owned. Some are about to add a fourth system to three that already disagree. Aipxperts starts all three with an inventory, because at every estate we audit, the interfaces nobody remembers turn out to be the ones with no alerting on them.
If the systems themselves need building, that is enterprise software development; the pipeline and platform monitoring underneath is DevOps.
The Supplier You Keep for Year Two
Integrations are inherited rather than admired, and the supplier matters most once the novelty has gone. This is the scale of the organisation maintaining them.
100+
Software Engineers
500+
Solutions Delivered
30+
Industries Served
95%
Client Retention
120+
Clients Worldwide
3
Unicorn Products
Where Integration Work Starts, Depending on What Is Already Connected
The audit is where most api integration services engagements should begin and rarely do, because an inventory is unglamorous and it is the thing that reveals what is actually broken.
Integration Audit and Inventory
Our engineers map every interface currently running: what talks to what, in which direction, on what schedule, and which have no error handling at all. The undocumented ones get found by traffic, because asking does not surface them, and the inventory usually contains more entries than anybody expected.
Third-Party API Integration
Connecting to an external service, whether payment, shipping, CRM or identity, against its documented contract, with our engineers handling rate limits, retries and idempotency up front rather than discovering them in production. The failure mode is a provider rate-limiting or changing a field so requests fail silently under retry, so the alerting watches failure rate and retry exhaustion rather than the absence of a success message.
Custom API Development
An API for your own system so others can consume it, built by our engineers: versioned, documented, contract-tested, with authentication and rate limiting from the first release rather than added when a partner complains. An unversioned change breaking a consumer you did not know existed is the failure it prevents, and contract tests catch it in your pipeline first.
Middleware and Integration Layer Build
The layer that sits between systems so no pair gets wired together directly, with routing, transformation and a queue we build to hold messages while a destination is unavailable. The failure mode is a destination going down and messages being lost rather than held, so queue depth is monitored and a backlog is visible before it becomes data loss.
Legacy System Integration
Systems that expose no modern interface at all: file drops, database views, screen-driven processes, or a scheduled export nobody has touched in years, all connected by our engineers. A file arriving malformed, or not arriving while the downstream job reprocesses yesterday, is the failure mode, so freshness checks and record-count reconciliation run, because a stale file looks identical to a current one.
Integration Monitoring and Reconciliation
Monitoring built by us for integrations specifically: per-interface success rates, latency, queue depth, and a daily reconciliation that counts records on both sides and reports the difference. It exists because an interface degrades gradually with no single failure large enough to notice, so the report runs whether or not anybody reads it and escalates when the delta moves.
What Was Being Copied by Hand, and What Replaced It
Systems that would not talk, and the manual step that disappeared when they did. Filter by sector to find an estate with a similar external surface.
Healthcare
A Custom Booking and Payment Platform for a Five-Studio UK Scan Group
Nearly every payment across these five UK scan studios was still settled by phone or in person, because the previous system could not process online payments reliably. Customers now book and pay on the site.
Read case study: A Custom Booking and Payment Platform for a Five-Studio UK Scan GroupEducation
Classroom Walkthrough Software Used by School Leaders Across 10+ Countries
Instructional coaching only works if the loop closes while the lesson is still fresh. Seven years of building later, school leaders across more than ten countries return structured feedback the same day.
Read case study: Classroom Walkthrough Software Used by School Leaders Across 10+ CountriesEstates That Stopped Copying by Hand
The people who commissioned this work describe it in their own words, on platforms that verify the engagement before the review is published.
Hardik was very helpful in advice and completing the work.
We have contracted a developer from Aipxperts now for several months, based on a referral. We have been very pleased with the quality of the work, the knowledge and skill level of our developer, and the value we're receiving for our fee. We also very much appreciate that the development team works at night (effectively), so we are sometimes able to turn client requests around in a day.There have been a couple of situations where we needed urgent help outside of our developer's normal business hours, and we've received that help (for which I am very grateful). While we have some challenges with communication sometimes, our overall satisfaction level is very high.
How Integration Requirements Change From One Sector to the Next
The variance here is unusually concrete. It is the number of external parties, the tolerance for delay, and whether a dropped record is an inconvenience or a regulatory event.
Fintech
Payment and ledger interfaces where idempotency is not optional, because a retried request must never post twice. Reconciliation is a daily obligation rather than good practice, and we build idempotency in from the first call on fintech interfaces.
eCommerce
Orders flowing between storefront, payment, warehouse and finance, with the highest volume arriving exactly when failure is least acceptable. Queue-based buffering matters more here than raw throughput, so we size the queue for the peak on eCommerce work.
Logistics and warehousing
The widest external surface of any sector here: carriers, customs, customer portals, device feeds. Every carrier has a different contract and a different failure behaviour, and one bespoke integration per partner does not scale, which is why we build a routing layer on logistics estates.
Healthcare platforms
Interfaces carrying clinical or patient data, where an audit trail on the interface itself is required and a dropped message can matter clinically. Delivery has to be provable rather than assumed, so our interfaces carry that trail on healthcare platforms.
Retail
Store, stock and online systems that each hold a version of the same number, with a promotion engine that changes it hourly. The design question is which system is authoritative, and it is usually unanswered when we arrive on retail estates.
Telecom
Provisioning, billing and partner interconnects that each move at a different speed, with a customer visible to all three. Our engineers design the ordering carefully on telecom estates, because a provisioning event arriving before its billing record is worse than one arriving late.
Food delivery
A single order visible to a customer, a restaurant and a courier at once, across systems that update at different speeds. Ordering guarantees matter more here than almost anywhere, and we design for them before throughput on food delivery work.
What Separates Integration Suppliers, and How We Answer It
Integration is easy to demonstrate and hard to keep working. These are what decides the second year rather than the first demo.
01The failure behaviour is scoped, not assumedWe scope retry strategy, idempotency, timeout handling and what happens when the far end changes a field, before the first call is written rather than after the first incident. A supplier who quotes an integration without asking about rate limits has not read the provider’s documentation.
02Reconciliation is part of the buildOur daily count runs on both sides with the delta reported, whether or not anybody reads it. This is the control that catches the slow degradation no single alert would fire on.
03Every interface has an owner and an alertAn interface with no named owner becomes invisible within a year, which is exactly how estates end up with connections nobody can explain. We hand over the inventory with an owner against each entry.
04Contracts are versioned so a change cannot break a consumer silentlyContract tests we write run in your pipeline, so an unversioned change fails before it reaches a partner rather than after. This matters most on the APIs you publish, where you cannot see who is consuming them.
05Where we stopWe build and monitor the interfaces. Running the platform underneath them, patching it and holding the pager is a different engagement, and we do not staff support outside working hours. The alerting we build is designed to reach your on-call rather than ours.
What an Integration Audit Turns Up, and Why It Is Always More Than Expected
Almost every audit finds interfaces the client did not know were running. Here is what our engineers look for and why the list is always longer than the one anybody could have written from memory.
| Pattern | Best at | Maintenance cost | What forces you off it |
|---|---|---|---|
| Point-to-point | Two or three systems, low volume, one team owning both ends | Low at first, then quadratic. Every new system multiplies the connections | Roughly the sixth interface. The count of connections grows far faster than the count of systems |
| API gateway | Many consumers of your API: partners, mobile apps, internal teams | Moderate and predictable. One place for auth, rate limiting and versioning | Nothing, if your problem is inbound consumers. It does not solve system-to-system routing |
| Integration layer | Many systems, differing formats, transformation and routing needed | Licence cost plus real configuration effort. Cheaper than it looks past about six systems | Cost at low volume, and lock-in on the transformation logic, which is the part hardest to move |
| Event-driven | High volume, systems that must not wait for each other, several consumers per event | Highest design cost, lowest coupling. Requires genuine operational maturity | Nothing forces you off it. It is where estates end up, and arriving too early is a common and expensive mistake |
Interfaces found by traffic rather than by askingNobody can list what is running, because the person who built half of it has left. We look at network traffic, scheduled jobs and database connections, and the inventory that comes out is usually the first complete picture the estate has ever had.The scheduled export nobody ownsThere is almost always a file moving between two systems on a nightly job, written years ago, with no error handling and no alert. It works until the day it does not, and it typically fails silently for a week before anybody notices.The interface with no idempotencyThe one where a retry posts twice. It has probably already done so, and the duplicate was corrected by hand without anybody diagnosing the cause.The connection whose credentials belong to a personAn integration authenticating as somebody who left in March is a countdown rather than a risk. These surface in the audit and they are usually the quickest thing to fix.
The Integration Stack Our Engineers Work Across
What we build interfaces, middleware and monitoring with, across queues, transformation, contract testing and observability. Where your estate already runs a platform for this, our engineers work inside it rather than introducing another moving part.
Frontend technologies
The interfaces your staff use to trigger, approve and monitor integrated processes, built for the reporting and exception screens integration work always generates.
React
Angular
Vue.js
Next.js
TypeScript
JavaScript
HTML5
CSS3
Tailwind CSS
Bootstrap
SASS
Backend development
Where the transformation logic, orchestration and business rules live. We match the language to your existing team so nobody is left maintaining a stack they cannot read.
NETC#
Java
Python
PHP
Node.js
Go
Ruby
Kotlin
Scala
Spring Boot
Express.js
NestJS
Django
Laravel
Integration middleware and APIs
The messaging, routing and gateway layer that decides whether adding your next system takes one connector or six new point-to-point interfaces.
MuleSoftDell BoomiApache Camel
Azure Service Bus
Azure Logic Apps
Amazon EventBridge
Apache Kafka
RabbitMQREST
GraphQLSOAPgRPCWebhooksEDIHL7FHIR
Kong
Apigee
Amazon API Gateway
Database and storage
Chosen by access pattern, data residency and running cost, and sized against the message volumes your interfaces will actually carry at peak.
PostgreSQL
MySQL
Microsoft SQL Server
Oracle Database
MongoDB
Redis
Amazon RDS
Amazon DynamoDB
Azure SQL Database
Azure Cosmos DB
Amazon S3
Azure Blob Storage
Cloud and deployment
Where the integration layer runs, packaged and provisioned as code so environments match and a rollback is a deployment rather than an incident.
AWS
Microsoft Azure
Google Cloud Platform
Docker
Kubernetes
Terraform
Ansible
Helm
AWS Lambda
Azure Functions
Google Cloud Run
Security and compliance
Authentication, authorisation and secret handling designed into every interface, because credentials in a config file are the most common finding in inherited integration estates.
OAuth 2.0OpenID ConnectSAML
JSON Web TokensmTLSMicrosoft Entra ID
Okta
Keycloak
HashiCorp Vault
AWS KMS
Azure Key Vault
Data processing and ETL
The pipelines that move, transform and validate data in bulk, with lineage documented so a number in a report can be traced back to its source system.
Apache Airflow
dbt
Apache Spark
Apache NiFi
TalendFivetran
AWS Glue
Azure Data Factory
Snowflake
Google BigQuery
Amazon Redshift
Databricks
Monitoring and DevOps
Pipeline, alerting and observability tooling that tells your operations team an interface has stalled before the business finds out from a missing order.
Jenkins
GitHub Actions
GitLab CI
Azure DevOps
Prometheus
Grafana
Datadog
ELK Stack
Splunk
New Relic
OpenTelemetry
PagerDuty
Independent Scores on Integration Work
On integration work the review worth looking for is from a client whose interfaces were still alerting correctly a year later. Anybody can connect two systems once.
Credentials, Data in Transit and Independent Evidence
Integration work means credentials for systems that are not yours to grant access to, and data crossing boundaries in both directions. Both are worth settling before the first connection is opened, so the NDA is signed before any access, and credentials go to the named engineers on your engagement only, scoped to the systems in the agreement, logged, and revoked at close with the revocation recorded.
How credentials are handledThrough your secrets manager, never held in ours, and scoped to the named engineers on your engagement. Where a third-party provider issues credentials, they are issued to your account rather than to us, so revocation never depends on our cooperation.What crosses the boundary, and what is loggedPayloads are logged with sensitive fields masked, because an integration log containing full personal data is a breach waiting for an audit. What gets masked is agreed with you rather than assumed.Reconciliation evidence is yoursThe daily counts, the deltas and the resolution record stay in your environment. On a regulated interface that trail is the thing an auditor asks for first, and it should not live with a supplier.What is not held, stated plainlyNo ISO 27001 or SOC 2 is held here. The controls exist and are documented per engagement, but the certificate is not ours to show, and procurement teams that require one should say so early.
How an Integration Engagement Runs, and What Each Stage Prevents
Each stage of our api integration services exists because of a specific failure our engineers have had to diagnose afterwards on somebody else’s work.
01Inventory and traffic analysisEvery running interface found by our engineers, including the ones nobody remembers, with direction, schedule and owner recorded. It prevents building a new connection alongside one that already does the same job badly.02Contract definition per interfaceThe shape of the data, the fields that matter, the version, and what an error looks like from both ends, agreed with us. That stops the field change that breaks a consumer nobody knew existed.03Failure behaviour designRetry strategy, backoff, idempotency keys, timeout handling and what happens when the queue backs up, all designed by us before the first call. It rules out the silent double-post, and the thirty orders that never arrived during a rate-limited hour.04Build and contract testingThe connection itself, with tests we write that fail in your pipeline when either side changes shape. No broken contract reaches production; it fails at merge instead.05Monitoring and alert routingPer-interface success rate, latency and queue depth, with alerts we route to a named person rather than a shared inbox. Gradual degradation that no single failure is large enough to surface stops being invisible.06Reconciliation setupA daily count on both sides, with our report naming the delta and an escalation threshold agreed up front. It heads off the month-end discrepancy that takes three days to trace back to an interface.07Handover with an owner per interfaceThe inventory, the contracts, the runbooks and a named owner against every entry, handed over by us. Without this stage the estate returns to the state it was in when we arrived, which is the usual outcome.
Scope, Cost and Who Owns the Contract
Integrations fail quietly, so most questions about api integration services are really about year two rather than launch. One answer sends you somewhere cheaper.
Share your project vision
Tell us what you want to build. A specialist, not a salesperson, replies.
Tell Us Where Your Team Still Copies Data by Hand
Send us the pair of screens somebody has open side by side, or the month-end discrepancy nobody has traced yet. Back comes what an audit would look at, which interfaces are likely running without alerting, and what it would take to make a failure visible the day it happens.
Send Us the Manual StepWritten Between Integrations
Our engineers and consultants write up what they learn on live projects: architecture decisions, model evaluation results, and the trade-offs behind them. Written for the people who will implement them.
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