Model your integration surface once. Clone it per customer. Give every client a living, field-level view of their own implementation — versioned, queryable, and always current.
Every SaaS provider with enterprise customers faces the same pattern: integration knowledge is scattered across Confluence pages, email threads, and the heads of whoever built it first. When something breaks, or a customer asks a question, the answer takes hours to find — if it can be found at all.
And when a customer asks for a change, nobody can answer "what breaks?" with confidence. So every change becomes a risk, and every release becomes slower.
One platform for the full integration lifecycle — from first discovery through live operation and change.
You model your integration surface once — the systems, interactions, fields, and business logic that make up your standard offering. For each new customer you clone that model into a customer workspace, then configure the customer-specific details (endpoints, field mappings, custom rules). Both you and the customer see the same living model from your respective views.
You control what each customer workspace exposes. Customer-facing fields, mappings, and rules are visible to the customer; internal-only components remain private. The sharing model is per-asset, not all-or-nothing.
Because customers can query the live model in plain language — 'what fields does this interaction carry?', 'what changed last week?' — they stop raising tickets to ask questions that are already answered in the model. Your support team stops being a knowledge proxy.
Yes. The baseline-and-approve workflow gives you a structured, versioned go-live artefact: both parties review the model, approve it, and the approval is recorded with a timestamp. That record is your shared reference for the lifetime of the integration.
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