Integrations

Connect Unifizeto your systems.

Plug-and-play integrations, custom integrations we build for you, or the Unifize API. Your teams and your systems stay in step.

Connected ecosystem

Unifize, in the middle of your stack

Connect the systems your teams already use, so the work between them runs in one place. Built for ISO and FDA-regulated companies.

  • SharePoint
  • SAP
  • Salesforce
  • Slack
  • SolidWorks
  • Jira
  • Microsoft Dynamics 365
  • Oracle NetSuite
Unifize API

Connect, extend and automate with the API

Connect your systems, manage workflows and update data from your own code, and build integrations that work the way you do.

Keys are issued by our support team once your integration is registered.

Read the API docs (opens in a new tab)
  • OAuth 2.0 app tokens
  • JSON over REST
  • Testing environment
Custom integrations

Built for you, for your ERP, CRM and CAD

For complex systems like ERPs, CRMs and CAD, we build the integration to fit your workflows and operations, from scoping to deployment.

ERP

The system that plans the business: parts, orders and suppliers.

  • SAP
  • SAP Business One
  • SAP S/4HANA
  • Oracle NetSuite
  • Microsoft Business Central
  • Microsoft Dynamics GP
  • Microsoft Dynamics NAV
  • Sage X3
  • Sage 100cloud
  • Sage 300cloud
  • Epicor Kinetic
  • Epicor Prophet 21
  • Infor CloudSuite Industrial
  • SYSPRO

CRM

The system sales and service run on.

  • Salesforce
  • Microsoft Dynamics 365

CAD

The tools engineering designs in.

  • SolidWorks
  • Autodesk AutoCAD

Project and issue management

The tracker engineering works from.

  • Jira
BI and analytics

Turn your data into deeper insight

Export your Unifize data and join it with your other data streams, for cross-functional analytics in the BI tools your teams already rely on.

  • Power BI

    Build real-time reports in Power BI to track quality performance by process, product or team.

  • Tableau

    Create interactive dashboards in Tableau to uncover trends and see quality data at a glance.

  • BigQuery

    Run complex queries in BigQuery and join Unifize data with other systems for deeper analytics.

Integration process

A step-by-step approach to integration

A good integration starts with the business need. Scoping, development, testing and validation, so it launches smoothly and stays reliable.

01

Pre-development

1 to 2 weeks

Define the scope, assess feasibility, gather the documentation and align stakeholders, so the integration's requirements are clear.

Before this phase

  • Clear requirements and scope. Define the expected outcomes, the business logic and the systems to integrate.
  • Access and documentation. Provide API credentials, system documentation and sandbox or test environment access.
  • Stakeholder engagement. Name the key contacts, including internal teams and third-party vendors.
  • Data governance and preparation. Clean, structured data with defined field mappings and transformation rules.
Pre-development: steps, hours and cycle time
StepHoursDone by
Define the requirement (outcome)4 to 8Day 2
Define the structure on Unifize4 to 8Day 3
Understand the structure on the source8 to 16Day 5
Stakeholder identification and communication2 to 4Day 2
Integration scope and boundaries4 to 6Day 4
Data governance compliance4 to 8Day 5
API rate limits and usage costs2 to 4Day 3
Access to the docs2 to 4Day 2
Read the docs (expert guidance)6 to 12Day 6
Statement of data integrity4 to 6Day 4
Authentication2 to 4Day 3
Sandbox access2 to 4Day 5
API keys and permissions2 to 4Day 3
Risk analysis4 to 8Day 6
02

Development

3 to 4 weeks

Configure the APIs, implement the workflows, map the data fields and build the error-handling logic.

Before this phase

  • Technical resources. Confirm API access, rate limits and data integrity policies.
  • Environment setup. Configure the Unifize sandbox, set up authentication and test API connectivity.
Development: steps, hours and cycle time
StepHoursDone by
Unifize sandbox setup4 to 8Day 5
Architecture planning6 to 12Day 7
Field mapping8 to 12Day 10
Technical design (workflows, logic)8 to 16Day 12
Data transformation logic8 to 16Day 12
Error handling logic6 to 12Day 10
Write the code24 to 60Day 20 to 30
03

Testing and launch

1 to 2 weeks

Validate the functionality, run user acceptance testing, write the documentation and deploy with minimal disruption.

Before this phase

  • Testing requirements. Allow time for user acceptance testing (UAT) and write a testing plan.
  • Launch planning. Define the approval process and deployment steps, and schedule around freeze periods.
Testing and launch: steps, hours and cycle time
StepHoursDone by
Test case creation6 to 10Day 30
Test phase8 to 16Day 35
Launch plan4 to 8Day 37
Documentation6 to 10Day 38
End-user training4 to 8Day 40
Post-launch monitoring4 to 8Day 50
Live issue handling6 to 12Day 60
04

Maintenance

Ongoing

Monitor the integration's performance, resolve issues and tune it for long-term reliability.

Before this phase

  • Support and monitoring. A plan for issue resolution, performance tracking and regular health checks.
Maintenance: steps, hours and cycle time
StepHoursDone by
Ongoing monitoring and health checks4 to 8After launch

Shortest run Longest runDays count from kickoff. Hours are a lower to upper estimate.

FAQ

Frequently asked questions

What is the difference between standard integrations and custom integrations?

Standard integrations are pre-built, plug-and-play connections to common tools like Slack, SharePoint and Power BI. They need minimal setup and can be used right away.

Custom integrations are built to fit enterprise systems like SAP, Salesforce and CAD software. They need requirement mapping, development, testing and deployment so they match your business needs.

How long does it take to implement a custom integration like Salesforce or SAP ERP?

It depends on the integration's complexity, the data volume, the business rules and the API's availability.

Most custom integrations take 2 to 3 business months, covering requirement mapping, development, testing and deployment. Projects with complex data mapping or several systems can take longer.

What are the integration methods available in Unifize?

Unifize supports three integration approaches:

One-way sync
Data flows in one direction, for example importing records from SAP into Unifize.
Master data sync
Keeps key datasets like users, parts or suppliers consistent across platforms.
Two-way sync
Data flows both ways in real time, so both systems stay current.

How does email integration work in Unifize?

You can send and receive email inside process records. Emails can also be forwarded into Unifize to create new records, so every conversation stays linked to its workflow.

Can Unifize update records based on incoming emails?

Yes. Unifize can parse an email's content to update checklist metadata, statuses or field values, which cuts manual data entry.

What level of IT involvement is required for custom integrations?

Your IT team works with ours to provide API access, define the business rules and test the workflows. Unifize manages the development and deployment.

How do I get API keys for integrating with Unifize?

API keys are not self-service. Contact Unifize support to register your integration, confirm the requirements and receive your credentials.

Are integrations included in Unifize’s one-time implementation cost?

No. Integrations are scoped separately, with their own timeline and cost depending on the scope, the type of integration and its complexity.

Anything else? Write to sales@unifize.com.

Integrations on Unifize

Bring the system you need connected.

Bring the system and the process that depends on it, and we will map the integration with you in a 30-minute walkthrough.