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Service Automation SuiteService Automation Suite
All integrations

Customer & work data

GitHub

Connect issues and changes to service tickets. Return technical progress to the people waiting for it.

From product to process

How to use the integration

Ticket → issue

Link the service request to a development issue and return agreed progress updates.

Exceptions → tasks

Route missing information or discrepancies to the team responsible for follow-up.

Combine into one controlled process

Data → rules → execution
  1. Combine

    Customer or issue + service request + rules

  2. Determine & check

    Combine data and determine the next action

  3. Execute & report back

    Start onboarding or a work task · Notify team · Return outcome

Check sources and rules, test changes and track the outcome. Manual tasks get an owner and confirmation.

Build visually. Manage easily.

Reuse building blocks, adapt your process and test the change. Manage it yourself, together with us or let Scope4mation take care of it.

More process examples & technical details

The work between your applications

Data transferred.
But is the work complete?

Service Automation Suite connects GitHub with your other applications, people and rules. Keep data aligned, work moving and outstanding actions visible.

A change, request or alert

Service Automation Suite

Data, people, assets and relationships on one foundation.

Compare
What exists? What should exist?
Determine what is needed
Matrix · policy · legal requirements
Coordinate the next steps
Checks · tasks · approvals · actions

Execution ↔ feedback

Your people and tools

GitHubGitHubTOPdeskAFAS

For example. Also with other teams, suppliers and applications.

Verify. Inform. Report.

What is complete? Who needs to act? Which exception needs attention?

Start with one integration, register or check. Build on the same data and rules.

Handover to service

An issue is resolved, without an update to support.

Connect issues and changes to service tickets. Return technical progress to the people waiting for it.

Service Automation Suite · Central coordination
Service Automation Suite

Combine data and apply rules

Combine the data with your policy, risk assessments and checks. Request information or a decision where needed, track actions and record the outcome.

Information & trigger
GitHubGitHub

Relevant data or workflow status

Follow-up & feedback
TOPdeskHaloITSM

Update, execute and record outcomes

  1. Choose the handover moment

    Choose the status or event that triggers the handover and the context required.

  2. Prepare focused work

    Connect relevant data to a request or task for the responsible team.

  3. Return progress

    Show the original team what has been handled and which information is still missing.

Customers & suppliers

Your own systems. Shared progress.

Collaboration Composer connects customer, team and supplier service environments. No separate emails to discover who picked up a ticket.

Service Automation Suite · Central coordination
Service Automation Suite

Combine data and apply rules

Combine the data with your policy, risk assessments and checks. Request information or a decision where needed, track actions and record the outcome.

Information & trigger
GitHubGitHub

Relevant data or workflow status

Follow-up & feedback
TOPdeskHaloITSMAutotask

Update, execute and record outcomes

  1. Share the relevant ticket

    Define the ticket and context the other party needs. Keep unshared information in its own environment.

  2. Connect progress

    Align agreed fields, comments and statuses.

  3. Track resolution

    Return updates to the original request and surface missing feedback.

Under the hood

How to connect, test and manage the integration.

For administrators who want to understand how it works: connect GitHub to your other applications, map the data and use the response in the next step. Configure it centrally in Service Automation Suite.

Example configuration · shaped by your process

Synchronise data and return the outcome

  1. Connect and test

    API Composer

    Choose the API method, URL and authentication. Manage the host and credentials in an environment. Test a request in Discovery and inspect the fields actually returned by the API.

  2. Combine and compare

    Data Flow Composer

    Select fields, translate codes and relate records using shared data. Compare source and target to identify new, changed or incomplete records.

  3. Execute and use the response

    API Composer

    Build the request body from validated data and inspect Body Preview before testing. Use the result ID in Data Context for the next request or save output to an entity. Configure write-back separately.

  4. Recognise errors and follow up deliberately

    API Composer

    Configure error rules by HTTP code and/or message. A temporary API failure can use bounded retries. A missing relationship or rejection needs another route: record the cause and configure a verification task for the appropriate team, for example.

Which data do you maintain?

An example configuration, not fixed field names or a mandatory combination.

Source ID and external reference
Retain verified relationships between records and reuse them across integrations.
Fields, codes and required data
Select the required data, translate values and enrich from shared tables. Route uncertain matches for review.
Result reference and processing status
Use the available response for feedback and agreed follow-up actions.

Sent ≠ processed. Use the response and agreed validation to determine the next step.

Need to publish data yourself?

Use Endpoint Composer to publish a configured Service Automation Suite data object. Choose read and write methods and security profiles so a customer can retrieve agreed service data or a supplier can submit information, for example. Configure data selection and subsequent processing separately.

Endpoint Composer
From data to a complete process?

Combine the integration with a form, a shared matrix, a review or collaboration between service teams. For example, an approved request leads to execution in Microsoft Entra, a ValidSign signature request and feedback in TOPdesk. Your process determines the steps needed; not every use case requires all these components.

Explore the connected building blocks

Configure once. Build on the same foundation.

You do not need to rediscover the same authentication, customer relationship or field mapping for every connection. Reuse environments, requests, sequences and shared tables. Build the next use case on that foundation. Configure additional API actions yourself, subject to the API and your permissions.

Beyond the first integration.

Use the same data and rules in your next process.

Start with one use case. Connect customer, employee and asset data, for example, and agree which source is authoritative. Reuse those relationships, a matrix where needed and configured actions in the next workflow. Agree who maintains the data and rules. Expand without repeatedly connecting and maintaining the same information.

Time recorded, but not yet accounted for.

Service work is complete but time entries do not match a known customer, project code or agreed processing route.

Combine
Combine time entries with central customer and project relationships and accounting rules. Request specific missing information.
The outcome determines what follows
Accepted: retain the accounting reference. Rejected: have the owner correct the cause. Resending an entry requires checking whether it was already processed.
The benefit
Less investigation and correction between service and finance without automatically treating errors as billable work.
A different name does not mean a new record.

A person or organisation has a different name in the source than at a customer or supplier. Matching text again can create incorrect or duplicate relationships.

Combine
Retain verified identifiers and source rules in a shared table. Reuse the relationship for requests, tickets and other integrations.
The outcome determines what follows
Known key: use the relationship. Multiple candidates or a missing identifier: request review. Once confirmed, reuse the established relationship.
The benefit
A consistent data foundation managed by your team instead of investigated again for every connection.
Refreshing a report does not guarantee reliable data.

A source request can succeed while data is missing, differently coded or not yet fully retrieved.

Combine
Combine pagination and output mapping with agreed data checks. Use shared relationship tables to connect sources.
The outcome determines what follows
Checks passed: prepare the dataset. Deviation: request review and expose freshness. Temporary API failures follow a bounded recovery path.
The benefit
A clearer distinction between a technically successful import and information fit for decision-making.

Your process needs more than a standard action?

Configure the missing API request, input and output in API Composer. Use its response in the next step and combine it with data tables, forms and automations. Extend the same product and reuse the configured building blocks.

Use Service Automation Suite to update a ticket in TOPdesk, for example, with fields available through its API, such as category, priority, status and support group. For another application, configure its request and field mapping. The outcome determines the next action: confirm, add information or request review, not merely check whether the request arrived.

Build it yourself: explore the technical approach

Need to publish data or let others submit it? Endpoint Composer exposes a configured Service Automation Suite data object with selected methods and security profiles. Other building blocks handle subsequent processing.

From product to workflow

GitHub in your workflow

A conversation with coffee and tea on the table
Scope4mation

Pull up a chair. Or join us online.

Over coffee, tea or online: tell us what you are working on.

We can help with the integrations, automation and coordination your process needs, even if your application is not listed yet.

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