Boardroom Answers · Revenue & Global · Enterprise Integration & Interoperability
Map your integration surface to my architecture: identity, provisioning, data egress, events, analytics. Where do you plug in, and where do I hit dead ends?
The question a VP of Enterprise Architecture (Buy-side) asks.
The short answer
SAML/SCIM at Enterprise, typed webhooks with retry at Max, OpenAPI + TS/Python SDKs from Basic, warehouse sync and embedded analytics at Enterprise. Dead ends admitted: empty marketplace catalogue, thin inbound ingestion, Tokyo-default residency.
The full executive answer
Let me walk the layers as your reference architecture would. Identity: SAML SSO and SCIM provisioning at Enterprise, so your IdP owns authentication and joiner-mover-leaver flows — no orphaned accounts in a shadow directory; below Enterprise, auth runs on Clerk with standard SSO. Events outbound: a webhook subsystem with a typed event catalogue and managed delivery-and-retry, at Max and above, so your integration platform subscribes to platform events rather than polling. Data programmatic: TypeScript and Python SDKs — read access from the Basic tier — a full write API at Max, all specified in OpenAPI with idempotency keys, so your API gateway and codegen tooling consume us like any first-class service. Data at scale: warehouse sync at Enterprise, pushing our data into your Snowflake-or-equivalent so your BI estate treats us as a governed source, plus embedded analytics for surfacing insight inside your portals. Collaboration surfaces: native Slack, Teams and CRM connectors at Max.
Dead ends, stated plainly: no marketplace of pre-built third-party apps yet — the marketplace exists with a least-privilege scope model, read-only by design, but its catalogue is empty. Inbound event ingestion from your systems is thinner than outbound; today we are stronger as a publisher than a subscriber. And residency is Tokyo-only unless the Mumbai or Frankfurt cell is provisioned for your contract. I would rather you hear the dead ends from me than find them in the proof-of-concept.
Architecturally, the posture to note: we are multi-tenant with row-level-security isolation enforced at the database and tested in CI, the AI layer has an egress policy governing which models data may reach, and everything is versioned and deprecation-marked. For a TOGAF-style assessment, we slot as a SaaS capability in your application layer with governed touchpoints at identity, events, API and warehouse — not a black box demanding a perimeter exception.
Grounded in: TOGAF-style capability placement and integration-point mapping; API-first architecture assessment criteria (contract-first, idempotent, versioned, event-capable).
The natural next questions
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