Authorise a system once, map its records and events to the Lucrative revenue model, and run the sync as a versioned workflow you can dry-run before it goes live — with an execution history that shows exactly where a failed run stopped.
Integration Cloud is Lucrative’s integration layer: it connects the business applications around the revenue operation — billing, ERP, support desk, data warehouse, marketing tools — and keeps their records and events flowing into the same revenue model the rest of the platform uses.
Integration Cloud
Each connection is authorized once, then each field and event is mapped to a Lucrative object, so an invoice from the billing system arrives as an invoice attached to an account rather than as an unlabelled payload. Workflows are versioned and can be dry-run against real records before they go live. When a run fails, the execution history shows which record, which step, and which system returned the error, and the run is retried from that step rather than replayed from the beginning. The practical difference is that Lucrative Sales, Quote, and Analytics read one synchronised set of records, and nobody maintains a second automation product to keep that true.
The operating problem
A collection of point connections is not an operating system.
Each connection is reasonable on its own. The problem is the twentieth one — every pair of systems has its own mapping, its own failure behaviour, and its own person who understands it.
A payload lands with the right values and none of the context. The next team gets an amount and an identifier, but not which account it belongs to, which subscription it renews, or what lifecycle state it puts the customer in.
A rejected event or a stalled sync is invisible until a report looks wrong or a customer asks a question. By then the gap is a week of records and nobody can say which ones.
Marketing runs the campaign tool, RevOps owns the CRM, IT owns the warehouse, a vendor owns the middleware. Each piece has an owner and the end-to-end result does not.
What Lucrative connects to
Four mechanics: the connection, the mapping, the version, and the run history.
None of these is a separate tool. They are four parts of one connection, configured in the same place and visible from the records they affect.
Explore the solution map →Billing and subscription systems, ERP, support desks, data warehouses, marketing and event tools, and any system with an authenticated API. A connection is authorised against the target system’s own credentials, so Integration Cloud never holds more access than the account you give it.
Each object, field and event is attached to the Lucrative revenue model once. You set the sync direction per object and the conflict rule for fields both sides can change, so there is one answer to which system is authoritative rather than one answer per workflow.
Every workflow is versioned with a readable diff between releases, and any version can be dry-run against live records without writing. The dry run reports what it would have created, updated or skipped, and why.
Every run is recorded against the records it touched: the step reached, the response the external system returned, and the timestamp. Failed runs retry from the failing step, and the history is readable from the account rather than from a separate log.
A payload. Correct values, no meaning attached to any of them.
Without the mapping, this is a row of values someone has to interpret.
The same event as a record, mapped once at the connection.
Mapped once, at the connection — not again per workflow.
How it compares
| A standalone iPaaS or automation tool | Integration Cloud | |
|---|---|---|
| Where records get meaning | At each destination, mapped again per workflow | Once, at the connection, onto the Lucrative revenue model |
| Conflict handling | Per-workflow logic, written by whoever built that workflow | One sync direction and one conflict rule per object |
| Testing a change | A sandbox that drifts from production, or nothing | Dry run against live records, writing nothing |
| Versioning | A change log if the tool has one | Versioned workflows with a readable diff between releases |
| Where a failure appears | In the automation tool’s log, which nobody has open | Against the affected record, with the owner of the connection named |
| Recovering a failure | Replay the whole run | Retry from the step that failed |
| Who can read the run history | Whoever administers the middleware | Anyone who can see the record it touched |
| What you license | A second platform, priced separately | Part of Lucrative |
Operating outcomes
Implementation reality
Most integration projects fail on the second and third of these, not the first. They are settled during solution design, before anything is authorised.
Review the requirements with usWhich systems are in scope, what each one is authoritative for, and what API and authentication each exposes. Older systems without a usable API are identified here, not discovered later.
Which objects and events sync, in which direction, and which system wins on a field both sides can change. This is the decision that determines whether the data is trusted a year from now.
How many times a run retries, how long it waits, when it stops trying, and who is notified when it does. Set per connection, because a billing sync and a marketing sync do not deserve the same behaviour.
A named owner per connection, so a halted run has somebody attached to it. Ownership is recorded on the connection itself rather than in a runbook.
Answered
Start with the business
Name the systems that have to stay in sync and what each one is authoritative for. That conversation is the first hour of a connection, and it is worth having before anyone signs anything.
Last updated: September 2026