Works with the systems you already run
Fable reads the records behind a decision from the systems you already use, and sends approved actions back to them. We map and test every connection against your own setup during implementation.
Three ways data comes in.
Anything that does not match the agreed format is held back and flagged. Every load can be replayed from the point it was taken.
| Method | Used for | Control |
|---|---|---|
| API connections | Systems with a published API. We read on a schedule, or pick up only what has changed since the last read. | Service credentials over OAuth 2.0, held in a managed secrets store. Every read can be replayed. |
| Signed webhooks | Changes as they happen, such as an approved quote, a posted invoice or a revised forecast. | The signature and timestamp on each event are checked before it is accepted. |
| Signed file exports | Scheduled exports from systems without a suitable API, or from your data warehouse. | Each file arrives with a signed manifest and is checked against its stated size and checksum. |
Systems of record.
Engines are built on the records these systems hold. We connect through each vendor's published API or through scheduled exports.
ERP and finance
Ledgers, costs, orders, invoices, receivables and supplier terms
- SAP S/4HANA
- Oracle Fusion Cloud ERP
- Oracle NetSuite
- Microsoft Dynamics 365 Finance
- Microsoft Dynamics 365 Business Central
- Sage Intacct
- Infor CloudSuite
- Epicor
CRM and quoting
Accounts, opportunities, quotes, discounts, contracts and renewals
- Salesforce Sales Cloud
- Salesforce CPQ
- Microsoft Dynamics 365 Sales
- HubSpot
Projects and professional services
Budgets, forecasts, timesheets, change orders and billing milestones
- Oracle NetSuite OpenAir
- Deltek
- Kantata
- Jira
Workforce and HR
Roles, rosters, skills, hours, pay and attrition
- Workday
- SAP SuccessFactors
- UKG
- ADP
Supply chain and warehouse
Stock, orders, fulfilment, transport and supply plans
- Manhattan Associates
- Blue Yonder
- SAP Extended Warehouse Management
- Oracle Warehouse Management
- Kinaxis
Procurement and spend
Purchase orders, contracts, catalogues and supplier performance
- Coupa
- SAP Ariba
Data platforms
Historical data and shared reference tables
- Snowflake
- Databricks
- Google BigQuery
- Amazon Redshift
- Microsoft Fabric
Product names are trademarks of their owners. These are systems we connect to during implementation. Listing them does not imply a partnership or certification.
Actions go back only once approved.
- A recommendation is advice until someone approves it. Nothing changes in your systems without that approval.
- Each type of change has its own named connection, permission and approval rule, and duplicate changes are blocked.
- People can queue or cancel an action, but cannot push it through themselves. Only Fable carries out an approved change.
- Every request, approval, completed change and reconciliation is linked to the decision behind it.
What we need from your team.
- Decision ownerThe person accountable for the decision and its outcome.
- System ownersSomeone for each source system who can approve access and explain what the fields mean.
- AccessRead access to each source, through a service account, API credentials or a scheduled export.
- HistoryPast records for the decision, as they stood when each decision was made.
- Engineering timeSome time from the engineers who look after your systems while we map and test the connections.
Tell us where the data lives.
Name the systems behind the decision and we will show you how Fable brings them together in the walkthrough.
Book a live walkthrough