Integration and process analysis
Make the systems to be connected, existing data flows, manual tasks, ownership and critical business rules visible.
- System and integration inventory
- Process, data and dependency map
- Risk and prioritization analysis
We connect your ERP, CRM, e-commerce, finance, logistics and custom software systems through secure integration architectures. We build solutions that reduce manual data transfer, provide two-way synchronization and make critical business processes traceable end to end.
System integration is more than transferring data between two applications. By addressing data models, business rules, identities and permissions, error scenarios and operational monitoring together, it ensures that systems work in a consistent, reliable and scalable workflow.
Bring ERP, CRM, e-commerce, finance and custom applications together in the data and transaction flows your business processes need.
Map different data models with shared rules so records stay accurate, up to date and consistent across systems.
Design real-time or scheduled flows using secure APIs, webhooks, messaging and file transfer.
Make every data and transaction flow traceable and manageable with logging, alerts, retries and reconciliation mechanisms.
We treat integration not as isolated connections but as a sustainable platform in which the system inventory, data ownership, business rules, API and messaging architecture, security, error handling and observability work together.
Make the systems to be connected, existing data flows, manual tasks, ownership and critical business rules visible.
Expose application capabilities through secure, versionable and reusable services.
Transform fields, formats and code structures from different systems into a shared data model through validation and business rules.
Build resilient data flows with instant APIs, webhooks, queues or event-based communication models, depending on your processing needs.
Manage service identities, data access, encryption and changes under shared security and audit standards.
Monitor flows end to end and manage failed transactions, data discrepancies and performance issues through automated alerts and remediation processes.
A direct connection can be enough for a simple, unchanging data flow between two systems. With many applications, reused data, varied business rules and high transaction volumes, a central integration architecture delivers more sustainable results.
Suited to quickly setting up clear, low-volume data flows between a few systems where limited change is expected.
Designed to manage many applications, partners and data flows under shared standards for contracts, security, transformation and monitoring.
If several of the situations below apply to your organization, a shared integration platform may be a better choice than adding more point-to-point connections.
We tailor the integration approach to your systems, transaction volume, data freshness expectations and business rules. We address varied connection needs, from enterprise applications to digital channels and from financial services to external partners.
Manage the order process end to end by automatically passing products, prices, stock, customers, orders, payments, invoices and shipment statuses between systems.
Keep customer, company, quote, order, balance and activity information up to date and consistent for sales and operations teams.
Make financial transactions between orders, e-invoicing, banks, payment providers and accounting systems automatic and auditable.
Reduce the risk of overselling by updating stock movements across stores, marketplaces, warehouses and ERP systems in near real time.
Connect older systems that offer no API to modern applications through secure adapters, files, databases or intermediary services.
Manage connections to suppliers, dealers, carriers, public authorities and third-party services through standard API contracts and central monitoring.
We don't start coding integrations right away; we first clarify business processes, data ownership, technical constraints and error scenarios. We manage the design, development, testing and live operation steps with measurable acceptance criteria.
We clarify the applications to be connected, business processes, existing manual flows, technical owners and the results expected from the integration.
We define source and target data structures, data ownership, field mappings, validation rules and synchronization direction.
We design an API, webhook, messaging or batch transfer architecture based on transaction volume, latency, security and resilience needs.
We develop services, connectors, data transformations and workflows with secure coding and reusable components.
We test normal, high-load and faulty scenarios, verify data consistency across systems and carry out a controlled cutover plan.
We monitor transaction success, latency, error queues and data discrepancies, and evolve the integrations according to capacity and process needs.
Well-designed integrations eliminate the disconnect between systems and prevent the same data from being re-entered or drifting apart. Teams reach up-to-date information faster, while critical business processes become more controlled and measurable.
Cut waiting times and manual follow-up by automating data and transaction handovers between systems.
Reduce duplicate, outdated or conflicting records across systems with data ownership and synchronization rules.
Eliminate repetitive data entry, file transfer and checking tasks so teams can focus on higher-value work.
Reduce missing, incorrect or misrouted data with validation, mapping and automated business rules.
Follow a transaction's journey across systems through shared logs and dashboards to reach the source of problems faster.
Bring new applications, channels and partners into the existing landscape faster with standard API and integration components.
We don't see integration security as simply using an API key. We design the entire flow in a layered, traceable way, from service identity to data access, message integrity to rate limiting, and retries to audit logs.
Verify user, application and service identities, and give each connection only the data and transaction permissions it needs.
Encrypt sensitive data in transit and, where needed, at rest; verify the origin of a message and that it hasn't been altered.
Protect services from overload, unauthorized access and duplicate transactions by controlling request volume, resources and usage patterns.
Prevent data loss during temporary outages; track every transaction with correlation, retry, error queue and audit records.
We prepare the technical assets the solution needs, from system and data maps to API contracts, from working integration services to test scenarios, and from monitoring dashboards to operations guides.
A design showing source and target systems, components, data directions, dependencies, security boundaries and operating models.
A document that defines field, code and format transformations along with data ownership, validation, conflict and reconciliation rules.
Documented, machine-readable contracts covering endpoints, payloads, events, identity, errors, versions and usage rules.
Source code for APIs, connectors, webhooks, message consumers and producers, data transformations and orchestration rules.
Functional, error, performance and security scenarios; test data, result records and cross-system reconciliation checks.
An operations set including dashboards, alerts, logs and correlation standards; retry, replay, error queue, runbook and support processes.
The most common questions about timelines, costs, working model and support afterwards.
Send your questionA solution that lets different applications, data sources and business processes work together securely, consistently and traceably through APIs, messaging, webhooks or batch transfer.
First the systems to be connected, the business process, data ownership, transaction volume and freshness needs are determined. Existing APIs and technical options are reviewed, and the target flow and architecture are designed.
The duration varies with the number of systems, API readiness, data model and business rule complexity, transaction volume, security requirements, test scenarios and data migration needs.
Cost depends on the number of connections and flows, the protocols used, transformation rules, real-time or batch needs, security, testing, monitoring and operations support.
No. An API is one of the best methods, but depending on technical conditions, databases, secure file transfer, webhooks, message queues, SDKs or custom adapters can also be used.
In most cases, yes. By reviewing the database, file, service, export or plug-in options the system offers, a secure adapter or intermediary service approach can be built.
Service identity, least privilege, encrypted communication, secret management, data masking, rate limiting, audit logging and secure error handling controls are applied as needed.
Yes. Depending on scope, we can provide support for flow monitoring, error response, data reconciliation, capacity tracking, API version updates, and new field and business rule changes.
Let's review the applications you want to connect, your current manual processes and your data needs together. We'll pin down the right integration method, the priority flows and a practical first step.