Solution Capability · 5.5

Enterprise Integrations

Connect ERP, CRM, Microsoft, Salesforce, finance, data, AI, and legacy systems so information and work move reliably across the organization.

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What problem does this solve?

Disconnected systems create duplicate entry, inconsistent data, delayed decisions, fragile manual exports, and automation that stops at the boundary of one application.

Who is it for?

Enterprise architects

Application and integration teams

Business application owners

Data and automation teams

Operations leaders affected by cross-system handoffs

How Ignatiuz delivers it

1

Map systems, data ownership, interfaces, events, volumes, latency, dependencies, failures, and controls.

2

Choose an integration pattern based on business and operational requirements.

3

Design APIs, events, connectors, data flows, error handling, monitoring, security, and ownership.

4

Build and test with representative scenarios.

5

Migrate or cut over safely.

6

Operate with monitoring, support, documentation, and change control.

Common use cases

CRM and ERP integration.

Microsoft and Salesforce integration.

Finance, HCM, supply-chain and service integration.

AI agent tools and system actions.

Legacy modernization and API enablement.

Data synchronization and event-driven workflows.

Platforms involved

Azure integration services, API Management, Logic Apps, Functions.

Power Platform, Salesforce APIs, and Microsoft Graph.

ERP, CRM, HCM, finance, databases, queues, events, files, middleware, and legacy systems.

Security & Governance

Human in the Lead

Integration security includes authentication, authorization, encryption, secrets, network controls, data minimization, logging, error handling, replay protection, auditability, service ownership, and operational monitoring.

Frequently Asked Questions.

Do you use point-to-point integration?

Only when it is appropriate for the scope and lifecycle. More complex environments may require APIs, events, middleware, canonical data, or reusable services.

How do you handle failed integrations?

The design should include detection, logging, retries where safe, exception queues, alerts, reconciliation, and support ownership.

Can integration support AI agents?

Yes. Agent tools should use controlled APIs or services with limited permissions, validation, logging, and review where required.

Ready to talk about Enterprise Integrations?

A readiness workshop is the fastest way to find out if this is the right starting point.