Sphere wins 2026 Global Recognition Award
Sphere Partners
Systems Integration

Connect the systems your business already depends on.

Sphere connects ERP, CRM, data platforms, AI, and operational systems so teams stop reconciling data by hand and start working from a shared source of truth.

Choose a starting pointSee the integration story
Connected enterprise mapLive sync layer
Single Source
of Truth
ERPfinance + orders
CRMsales + customers
Warehouseanalytics + BI
Supporttickets + service
E-commercecatalog + payments
Operationsworkflow + fulfillment
Before integrationEvery team maintains its own version of the truth.
After integrationSystems update each other through governed data flows.
6-12 weeksTypical path to first live integration
ERP + CRMNetSuite, Salesforce, SAP, Microsoft, and more
AI-ready dataConnect enterprise sources to RAG and automation
Monitored flowsCatch sync failures before month-end
Where integration work usually starts

The problem is not that systems are broken.

Most systems work fine on their own. The business pain shows up when those systems need to share customers, orders, invoices, inventory, tickets, projects, and financial data.

01

Teams re-enter the same data

The same customer, order, invoice, or project gets typed into multiple systems by different people.

02

Reports are late or inconsistent

Leaders get different answers depending on which system exported the report.

03

Workflows depend on manual handoffs

Approvals, updates, and status changes wait for emails, spreadsheets, and someone remembering the next step.

04

AI cannot use disconnected knowledge

RAG, agents, and automation need connected systems and governed data flows to operate reliably.

The integration story

From disconnected systems to automated workflows.

The goal is not just moving data from one place to another. The goal is creating reliable operational flow between the systems that run the business.

Before

CRM exportManual
ERP updateDelayed
Project boardSiloed
Invoice dataRekeyed
Support recordIncomplete

After

API integration layerConnected
System of record rulesOwned
Automated workflowsTriggered
Monitored data flowsVisible
Trusted reportingCurrent

A strong integration architecture clarifies which system owns each record, when data should move, what happens when a sync fails, and how downstream tools should trust the result.

Common integration patterns

Connect the systems that are slowing your teams down.

Sphere designs integrations around the actual workflow, not a generic connector checklist.

High demand
Monday.comNetSuite

Project operations into financial systems.

Sync project costs, time tracking, resource data, and operational updates into the financial core so teams stop reconciling work manually.

NetSuiteSalesforce

ERP + CRM

Align accounts, opportunities, orders, invoices, and customer records across sales and finance.

SAPSnowflake

ERP + data platform

Move operational and financial data into analytics environments with cleaner lineage and reporting rules.

DatabricksERP

Lakehouse + enterprise systems

Connect governed data products back into operational systems and decision workflows.

CommerceFinance

E-commerce + finance

Synchronize product, order, pricing, payment, tax, and fulfillment data without manual cleanup.

AIEnterprise data

AI + enterprise systems

Connect approved enterprise sources to RAG systems, agents, dashboards, and workflow automation.

How the engagement runs

A repeatable path from disconnected to automated.

Sphere starts with the systems, owners, data flows, and failure points, then builds the integration pattern that fits the actual business process.

01

Discover

Inventory systems, records, owners, APIs, manual workarounds, and reporting dependencies.

02

Map

Define source-of-truth rules, data movement, sync timing, and exception handling.

03

Build

Connect systems using APIs, middleware, event streams, or custom services.

04

Automate

Trigger updates, approvals, alerts, and handoffs when source records change.

05

Monitor

Track integration health, failed syncs, data quality, and workflow exceptions.

06

Optimize

Extend integrations to more systems and tune performance as the business changes.

Industry scenarios

Integration pain looks different by industry.

The systems change, but the business problem is the same: teams need one reliable operating picture.

Manufacturing

Connect ERP, inventory, shop-floor systems, and forecasting so operations and finance use the same data.

Inventory + demand

Healthcare

Connect patient operations, billing, claims, scheduling, and reporting with appropriate controls.

Operational flow

Financial services

Integrate CRM, onboarding, compliance, reporting, and service data for faster client operations.

Client visibility

Hospitality

Connect bookings, payments, guest profiles, service systems, and revenue data across locations.

Guest experience
Enterprise sourcesConnected
PermissionsGoverned
RAG + agentsGrounded
WorkflowsAutomated
AI readiness

AI works better when enterprise systems are connected first.

RAG systems, agents, and AI assistants need clean access to source systems, permissions, business rules, and current records. Systems integration is often the work that makes enterprise AI usable.

Plan AI-ready integrationRead FAQs
Choose your starting point

Start with the level of integration help your team needs now.

Some teams need a fast architecture review. Others need a production integration pod to build, monitor, and extend the connection layer.

Start here

Integration assessment

Map systems, owners, data flows, and integration risks before committing to a build.

2-3 weeksArchitecture plan
Request assessment
Most direct

Production integration build

Design and build the API, middleware, event, or custom integration layer for priority workflows.

6-12 weeksFirst live integration
Plan the build
Scale

Managed integration operations

Monitor integration health, tune performance, add new systems, and reduce workflow exceptions over time.

OngoingOptimization
Discuss support
Questions before you start

Systems integration, explained plainly.

Systems integration connects applications, databases, cloud platforms, and business systems so information can move automatically between them instead of being re-entered by hand.

Common patterns include NetSuite plus Salesforce, Monday.com plus NetSuite, SAP plus Snowflake, Databricks plus ERP, e-commerce plus finance, and AI systems connected to enterprise data.

A first live integration often falls in the 6-12 week range, depending on the number of systems, API availability, data quality, and workflow complexity.

Sometimes. Sphere designs the integration pattern around your architecture. Some projects use middleware or iPaaS, others use APIs, event streams, or custom services.

AI systems need governed access to current enterprise data. Integration work helps RAG, agents, and automation tools retrieve the right information from the right systems.

Connect the systems behind your most important workflows

Start with an integration assessment, a production build, or managed integration operations for the systems your teams depend on.