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Services · Systems Integration

Service · Systems integration

Systems integration services.

Connecting CRMs, ERPs, payment processors, and custom platforms into unified workflows. Enterprise systems integration, AI-powered integration solutions, data integration. The unglamorous engineering that turns a collection of systems into something your business actually runs on.

Our expertise

CRM, ERP, payment, custom integrations.

Most businesses do not have one system. They have a graph of them. Integration engineering is the work of making that graph behave like a coherent system, not a constellation of silos.

01 · CRM integrations

Salesforce, HubSpot, Pipedrive, Zoho.

Bidirectional sync between your operational systems and your CRM. Lead routing, opportunity tracking, custom object models. Integration that respects the CRM's data model rather than fighting it.

02 · ERP integrations

NetSuite, SAP, Microsoft Dynamics, custom.

Order management, inventory, financial sync. ERP integrations that scale to enterprise data volumes. Custom field mapping, audit trails, error handling.

03 · Payment integrations

Stripe, custom processors, multi-currency.

Payment processor integration including custom processors when off-the-shelf does not fit. Multi-currency, multi-region, settlement reconciliation, dispute handling.

04 · AI-powered integrations

Intelligent routing, automated mapping.

AI to handle the messy parts of integration: data mapping suggestions, anomaly detection, intelligent retry logic. Tools that learn from past integrations, not just rule-based plumbing.

Capabilities

Patterns, observability, error handling, scale.

Integration is mostly about handling failure modes. The patterns that work at scale and the observability that lets you sleep at night.

Integration patterns

Event-driven, batch, real-time, hybrid.

Event-driven where freshness matters. Batch where volume matters. Real-time when both. Hybrid when reality demands it. Pattern chosen for the use case, not for fashion.

Observability & alerting

Per-integration health, error tracking, retry visibility.

Per-integration health dashboards. Error tracking with payload context. Retry visibility so you know which jobs are stuck. Alerting that fires on real failures, not noise.

Idempotency & retries

At-least-once delivery, exactly-once processing.

Idempotent receivers so duplicate deliveries do not corrupt data. Retry policies with exponential backoff. Dead-letter queues for messages that cannot be processed.

Audit & compliance

Tamper-resistant audit logs, change tracking.

Audit logs of every data change across systems. Change tracking for compliance frameworks. Reconciliation reports for finance teams.

How we work

Four phases. Same team across all four.

The phases that apply to every engagement, not just systems integration. The team that scopes does the building, and the operating.

  1. Phase 01 · 2–4 weeks

    Discovery and scope.

    Stakeholder interviews, technical review of existing systems, risk register, written scope with milestones and exit criteria.

  2. Phase 02 · 3–12 months

    Build and iterate.

    Two-week sprints with working demos. Senior leads on every sprint review. Code reviewed, accessibility checked.

  3. Phase 03 · 2–6 weeks

    Cutover and stabilization.

    Parallel run with rollback path. On-call coverage during the launch window. Stabilization continues until incident rate trends to zero.

  4. Phase 04 · ongoing

    Operate and evolve.

    Multi-year retainer with the same team that built the product. Monthly check-ins, quarterly business reviews.

Read the full engagement model on the How We Work page.

Frequently asked questions

Common questions on systems integration engagements.

What integration patterns do you use?

Event-driven (Kafka, EventBridge, custom message buses) when freshness matters. Batch (nightly ETL) when volume dominates. Real-time API calls when both. We pick the pattern for the use case, not the fashion.

How do you handle integration failures?

Idempotent receivers, exponential backoff retries, dead-letter queues for failures we cannot process automatically, alerting that fires on real failures (not noise). Failure handling is most of the integration work.

Can you integrate with custom or legacy systems?

Yes. Most enterprise integrations include at least one legacy or custom system. Mainframe, ColdFusion, custom APIs without documentation. We do the code archeology to understand them before integrating.

What about observability?

Per-integration health dashboards, error rate tracking, retry visibility, payload-context error capture. You should know which integrations are healthy and which are degraded without paging engineers.

Do you handle data migration during integration projects?

Yes. Most integration engagements include backfill or initial data migration alongside ongoing sync. We design the backfill, the cutover, and the steady-state pattern as one engagement, not three.

Ready to build?

Pick a path forward.

Multiple ways to start: schedule a discovery call, run our cost calculator for a budget bracket, or use the contact form for a written response.

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