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Fit check
Is System Integration right for you?
An honest view. If another model suits you better, we will tell you on the first call.
A good fit when
You know the outcome you want and need a team to own it
You want a clear scope, milestones and visible progress
You prefer one accountable partner over many contractors
You want something working in weeks, then to iterate
Think twice when
Requirements will change daily with no owner
You already run a full in-house delivery team
You only need one extra engineer
There is no decision maker to approve each demo
About System Integration
How System Integration works in practice
System integration connects the applications a business already runs, such as ERP, CRM, payments, e-commerce and internal tools, so data moves between them without copying and pasting. This page explains integration patterns, how to design for failure, and what to ask before buying an integration platform, for operations leaders and technical managers.
Choosing an integration pattern
Point-to-point connections are quick but multiply into a tangle once you have more than a handful of systems. A hub approach, using an integration platform or a message broker, centralizes mapping and monitoring. Events suit situations where many consumers care about a change, such as an order being placed; request-response APIs suit lookups and commands; scheduled batch files still make sense for large nightly loads.
Pick by the behavior you need. Does the receiving system need the data within seconds or by morning? What happens if it is down? Can the same message arrive twice? These questions decide whether you need queues, retries, idempotency keys or reconciliation jobs, long before the choice of tool matters. Write the answers down per flow, since each integration may need a different design.
Designing integrations that survive reality
Real integrations fail: networks drop, vendors change payloads, someone edits a field in the source system. Build with retries and back-off, dead-letter queues for messages that cannot be processed, idempotent handlers so duplicates do no harm, and clear alerts that name the order, invoice or customer affected. Silent failure is the expensive kind. Alerts should reach the people who can act on them, not an unread mailbox.
Mapping deserves attention. Agree one owner for each data entity, such as customer or product, define canonical formats and keep transformation logic in version control with tests. Document rate limits and authentication for each API, rotate secrets properly and log enough to trace a record end to end. AI can help draft mappings and documentation, subject to human verification. Mapping spreadsheets alone are not enough; they belong in code with tests.
Typical integration projects
Common work includes syncing orders between a web shop and an ERP, pushing won deals from a CRM to billing, connecting payment gateways and reconciling settlements, feeding a data warehouse, and exposing legacy databases through APIs. Each involves different owners and tolerance for delay, so we start by drawing the data flow and naming the system of record. Naming a single system of record per entity avoids endless arguments about whose numbers are right later on.
Delivery is incremental: one flow at a time, with a test environment, sample data and a rollback plan. We provide weekly demos, hand over runbooks, and can operate the integrations under an application management arrangement. Code and configuration sit in your accounts, with full IP assignment and an NDA available on request. Handover covers architecture diagrams, mapping tables, credentials management and a plain-language guide for support staff.
What is included
What you get from the first week
Integration architecture
Selection of patterns, brokers or platforms, ownership of data entities and failure handling, documented before any code is written.
ERP and CRM integration
Sync of customers, orders, invoices and stock between systems such as SAP, Odoo, Salesforce, Dynamics 365 and custom databases.
Payment and fintech integration
Gateway connections, webhooks, settlement reconciliation and refund flows built with idempotency, audit trails and careful handling of sensitive data.
Middleware and message queues
Implementation on tools like RabbitMQ, Kafka, Azure Service Bus or MuleSoft, with retries, dead-letter handling and monitoring dashboards for operations staff.
Legacy and file-based integration
Bridging older systems through database access, SFTP files or EDI formats, while keeping a clear path towards cleaner APIs in the future.
Monitoring and reconciliation
Dashboards, alerts and daily reconciliation reports that show whether the systems agree and name the exact records that do not.
How it runs
A typical engagement, step by step
Pick a stage to see what happens. Timings are typical, not promises.
Week 1
Discover
Goals, users, risks and success measures agreed in workshops, ending in a written scope.
Weeks 2-3
Design
Flows, interface and architecture validated with you before heavy engineering starts.
Sprints
Build in two-week cycles
A working demo, tests and a release you can click through at the end of each sprint.
Launch
Secure release
Deployment, monitoring, handover documentation and a short warranty period.
After launch
Evolve
Support, new features and optimization as real users arrive.
Compare models
How it differs from the other ways to work with us
Dedicated Development Team
Staff Augmentation
Fixed-Scope Projects
Managed Services
Best for
Long-term products & roadmaps
Filling skill gaps fast
MVPs & well-defined builds
Ongoing support & operations
What you get
A full, cross-functional squad (engineers, QA, designer, PM) working only on your product, managed with your processes and tools.
Pre-vetted senior engineers who join your in-house team within days to add capacity or specialist expertise.
A clear scope, timeline and price, delivered in milestones with demos at every stage.
We run and continuously improve your applications, cloud and infrastructure under defined SLAs.
Commercials
Direct access to every team member
Replacement guarantee
Warranty period after launch
Predictable monthly pricing
Outcomes
What you can expect
No more double entry
Orders, customers and invoices move automatically between systems, removing manual re-keying and the errors that come with it.
Trustworthy data
Defined owners, mappings and reconciliation reports mean different departments see consistent numbers rather than competing spreadsheets.
Failures you can see
Alerts and replay tools let support teams find and fix a failed message in minutes without engineering archaeology.
Working rhythm
How you stay in control
Daily stand-up
Short check-in that overlaps with your hours.
Weekly demo
Working software, not slides, every week.
Monthly review
Progress, risks, budget and the next month plan.
Shared board
One backlog and repository you can open anytime.
FAQ
System Integration FAQs
Straight answers on cost, timelines, IP ownership, team setup and how we work. Cannot find yours? Ask a solutions architect directly.
It is the work of connecting separate applications so they exchange data and trigger actions automatically. Examples include syncing a web shop with an ERP, or sending won CRM deals to billing. It uses APIs, message queues, files or middleware.
Do we need an integration platform or custom code?
For a few simple connections, direct API code or a workflow tool may be enough. As systems and flows multiply, a message broker or integration platform pays off through central monitoring and reuse. We compare options against your volumes and skills.
How do you stop integrations from silently breaking?
With retries, dead-letter queues, idempotent processing, alerts that name the affected record and daily reconciliation between systems. We also version mappings in source control and test them, so a changed field in one system is caught quickly.
Can you integrate with our legacy or on-premise systems?
Usually yes. Options include read-only database access, file exchange over SFTP, vendor APIs, or a small adapter service. We assess security and stability first, and prefer approaches that leave you a route to cleaner interfaces later.
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