Enterprise apps / Integration
Enterprise App Integration Company for Mobile Apps and Back-Office Systems
We are an enterprise app integration company that connects mobile apps to the systems a business actually runs on: ERP, CRM, HR, service management, document stores, identity providers and the odd on-premise database nobody wants to touch. It is the integration layer behind our enterprise mobile app development work, also offered on its own when you already have an app. This page covers how we design that layer: APIs and middleware, authentication, rate limits, data mapping and the monitoring that tells you when something breaks.
- Mobile never calls core systems directly
- Service accounts and secrets kept server-side
- Every integration monitored and alerted
- Documented so your team can run it
Why integration is where enterprise app projects slip
Screens are predictable work. Integrations are not. The API documentation describes an edition you do not run, the test environment has no data, the integration user needs approval from a team that meets monthly, and the system goes offline every night for a batch job nobody mentioned.
None of that is unusual, and none of it is solved by writing code faster. It is solved by finding it in week one. Our rule is simple: before any UI work, we prove the riskiest integration end to end in your test environment, reading and writing one real record with real credentials. If access, performance or data quality is a problem, you learn it while the plan can still change.
Integration patterns: which one fits each system
Most enterprise apps use two or three of these at once. We pick per system, based on how fresh the data must be and what the system supports.
| Pattern | How it works | Use it when | Watch out for |
|---|---|---|---|
| Synchronous API call | Backend calls the system’s REST, OData or SOAP API on request | User needs live data, such as stock or credit status | Latency and outages pass straight to the user; add timeouts and cached fallbacks |
| Event or webhook driven | System pushes change events; backend updates its own store | Data changes often and the app needs it soon after | Missed or duplicate events; verify signatures and make handlers idempotent |
| Scheduled sync (delta) | Backend pulls changes since the last run | Reference data such as products, prices, org charts | Batch windows, clock skew, deleted records that never appear in deltas |
| Queue-based write | App writes go to a queue; a worker posts them to the system | Orders, timesheets, inspections, anything created offline | Ordering, retries, and a dead-letter queue for failures that need a human |
| File or batch exchange | CSV, XML or flat files over SFTP on a schedule | Legacy systems with no usable API | Format drift, partial files, no immediate error feedback |
| iPaaS or existing middleware | Your MuleSoft-, Boomi- or Azure-style platform owns the connection | You already run an integration platform and team | Shared ownership; agree SLAs and who fixes what |
The mobile app talks only to our backend layer, often called a backend for frontend. That layer holds credentials, shapes responses for mobile screens and protects your core systems from mobile traffic spikes.
Authentication between the app, the middleware and your systems
There are two separate trust problems. The first is the user to the backend: staff sign in through your identity provider with OpenID Connect, using the system browser and PKCE as RFC 8252 requires for native apps. The backend validates the token on every request and checks the user’s roles.
The second is the backend to each core system. Where the platform supports it, the backend acts on behalf of the user (token exchange or delegated OAuth), so the system’s own permissions apply. Where only a service account is possible, the backend enforces the same rules explicitly and logs the real user behind each call.
Credentials for those service accounts never ship in the app. They live in a managed secret store in your cloud account, are scoped to the minimum permissions, and rotate on a schedule your security team sets. For sensitive operations we can add device attestation through Apple App Attest or the Play Integrity API so that only genuine copies of your app reach the API.
Auth decisions we document
- Identity provider and token lifetime
- Delegated or service-account access per system
- Scopes and least-privilege roles
- Secret store and rotation schedule
- mTLS or IP allow-listing for on-premise links
- Audit trail linking user to every write
Rate limits, timeouts and protecting your core systems
Core systems have daily API caps, concurrency limits and performance budgets set for office use. A mobile rollout to hundreds of users who all open the app at 8 a.m. can exhaust a quota before lunch or slow the ERP for the finance team.
The integration layer absorbs that load. We cache reference data, combine several upstream calls into one mobile request, and throttle outbound traffic per system with a budget below the platform’s limit. Writes go through queues with exponential backoff, so a temporary outage becomes a delay rather than an error on a technician’s screen.
Every upstream call has a timeout and a circuit breaker. If a system is down, the app shows cached data with a clear timestamp, accepts new work into the queue and tells the user it will sync later. Our REST and GraphQL API development page covers the mobile-facing side of this: pagination, caching headers and versioning.
Need to connect an app to systems you cannot change?
Send us the list of systems, what the app must read and write, and any access limits you already know. Within one business day we will reply with the riskiest integration and how we would prove it first.
Data mapping: the dull work that prevents bad data
Two systems rarely agree on what a customer, a site or an order is. One stores a status as a code, another as free text. One uses a single address field, another five. Units, currencies, time zones and date formats differ. Mapping is where those differences get resolved, and it is the source of most data-quality complaints after go-live.
We produce a mapping specification for every entity: source field, target field, transformation, default when empty, validation rule and owner. It lives in the repository with the code, and contract tests check real sample payloads against it in CI. When a system owner adds a field or changes a picklist, a failing test shows it before users do.
Identifiers deserve special care. We keep a cross-reference of IDs between systems rather than relying on names or emails, and we decide which system is the source of truth for each entity.
In every mapping spec
- Source and target field
- Transformation and units
- Default when missing
- Validation and rejection rule
- Source of truth per entity
- ID cross-reference strategy
- Owner who approves changes
Integration monitoring that tells you something broke
Integrations fail silently. An order that never reached the ERP looks fine on the phone. These checks are live before the first user goes on the app.
- Correlation ID carried from the app through every upstream call and log line
- Per-system dashboards: call volume, latency, error rate and quota used
- Alerts when error rate or latency crosses an agreed threshold
- Queue depth and age alerts, so a stuck queue is noticed in minutes
- Dead-letter queue with a review screen and one-click retry
- Daily reconciliation: records created on mobile vs records in the core system
- Synthetic checks that read a known test record from each system
- Alert routing to named contacts per your support agreement
- Runbook for each alert: what it means and what to try first
How our enterprise app integration company runs a project
NDA first. Code in your repository and infrastructure in your cloud account from day one.
Integration discovery (one to two weeks)
Inventory every system, owner, API, limit and test environment. Output: integration map, pattern per system, mapping specs to complete and a fixed price.
Access and spike
Request integration users and network access, then prove the riskiest read and write end to end in a test environment.
Build in two-week sprints
Adapters, queues and mobile-facing endpoints built behind contract tests, with a demo of real data flowing at each sprint review.
Reconciliation and load tests
Compare records across systems at volume and test peak load against your quotas before rollout.
Go-live and handover
Dashboards, alerts, runbooks and mapping specs handed to your team, with support under our app maintenance and support plans.
Where this fits with our other services
Integration is usually one part of a larger app. For mobile front ends on a single ERP or CRM, see mobile ERP and CRM app development; for frontline staff apps with SSO and MDM, see internal employee app development. The cloud side, including environments, secrets and backups, is covered on cloud backend setup and hosting. If you need engineers to join your own integration team, see hire backend and Node.js developers.
Integration projects we have delivered
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Enterprise app integration FAQs
Why not let the app call our ERP or CRM directly?
Because it puts credentials on devices, exposes your core system to mobile traffic spikes and makes every API change a forced app update. A backend layer holds the credentials, enforces permissions, caches data, queues writes and shapes responses for mobile screens. It also lets you change or replace a back-office system without shipping a new app.
Can you integrate with on-premise systems?
Yes. Common options are a small adapter service inside your network that makes outbound connections only, a secure gateway or VPN to your cloud tenancy, or scheduled file exchange for systems with no usable API. We agree the option with your network and security teams and document every firewall rule and credential involved.
We already use an integration platform. Can you work with it?
Yes. If your organisation runs an iPaaS or an existing middleware team, we can consume the APIs they publish rather than building parallel connections. We agree the contract, SLAs and error handling with that team, and our backend layer focuses on mobile concerns such as offline queues, caching and response shaping.
How do you handle API rate limits?
We find the real limits for your edition in discovery, then design within them. The integration layer caches reference data, combines calls, throttles outbound traffic below each system’s cap and queues writes with backoff. Dashboards show quota use per system, and alerts fire well before a limit is reached, so a busy morning does not lock anyone out.
How will we know if an integration fails?
Every request carries a correlation ID from the app to the core system, so one failed order can be traced end to end. Dashboards show volume, latency and errors per system, queues alert when items get stuck, and a daily reconciliation compares records across systems. Failed items land in a dead-letter queue with a retry option.
Who owns the integration code and credentials?
You do. Code lives in your repository, infrastructure runs in your cloud account and credentials sit in your secret store. Our team gets named, time-limited access with MFA, removed when the engagement ends. Runbooks and mapping specs are handed over so your own team, or another supplier, can run the integrations.
Find your riskiest integration first
Book a 30-minute call with the owners of the systems your app must reach. You will leave with a pattern for each system, the access you need to request and a plan for the first integration spike.