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Self-service

Let teams request what they need, without turning every request into a ticket.

Nexus Foundry publishes a catalog of infrastructure, access and data that teams can request directly. Requests within policy provision automatically; requests outside policy route to an approver. Every request becomes part of the audit record, whichever path it takes.

of requestable items, described plainly
Catalogof requestable items, described plainly
when a request is within policy
Auto-provisionedwhen a request is within policy
to an approver when it is not
Escalatedto an approver when it is not
as part of the audit trail
Recordedas part of the audit trail

The buyer problem

Requesting access or infrastructure means opening a ticket and waiting.

A developer needs a new database instance. An analyst needs read access to a dataset. Each of these is a routine request that ends up in the same ticket queue as a genuinely complex change, waiting on the same team, judged against no clear policy other than whoever picks it up next.

The bottleneck is not the underlying provisioning step, which is often a single API call. It is the absence of a policy layer that can decide, automatically, when a request needs a human at all.

What changes

A catalog and a policy layer replace a ticket queue.

  1. Requester

    Browse the catalog

    A requester picks a published item, a database, a cloud environment, an access grant, from a catalog described in terms they understand.

  2. Policy

    Request is checked against policy

    The request is evaluated against eligibility, budget and approval policy before anything is provisioned.

  3. Provisioning

    Automatic where policy allows

    Requests that pass policy provision automatically through the underlying workflow, without a ticket sitting in a queue.

  4. Approval

    Human review where policy requires it

    Requests that need sign-off route to the accountable approver, with the request context attached.

  5. Audit

    Every request becomes a record

    What was requested, by whom, under what policy, and what was provisioned is retained as part of the platform audit record.

Governance does not change as teams move up the ladder. The same workspace permissions, vault-backed secrets, execution history and audit record apply to a visual step and to a code node.

How it works mechanically

Request, evaluate, provision or route, capture.

  1. 01

    Request

    A team member requests a catalog item through Foundry, describing what they need in the terms the catalog exposes.

  2. 02

    Evaluate

    The request is checked against eligibility and policy: role, budget, environment and any prerequisite conditions.

  3. 03

    Provision or route

    Requests within policy provision automatically; requests outside policy route to a named approver.

  4. 04

    Capture

    The outcome, whether auto-provisioned or approved, is captured in the audit record alongside the underlying workflow execution.

The loop runs the same way whether the request auto-provisions or waits for an approver; only the routing differs.

Worked example

A developer requests a staging database and an analyst requests dataset access.

Illustrative Foundry request log

Representative output, not a live customer instance

Illustrative
  • Request: staging Postgres instanceAuto-provisioned
  • Request: read access to customer datasetRouted to data owner
  • Request: production database resizeRouted to infrastructure lead
  • Request: personal sandbox environmentAuto-provisioned

Every row, whether auto-provisioned or routed, is retained in the audit record with the request, requester and policy applied.

What you get

Fewer tickets, and a clean record of every request.

01

A published catalog

A catalog of infrastructure, access and data items, described in terms a requester understands, without needing to know the underlying workflow that fulfils it.

02

Policy-driven routing

Eligibility, budget and approval policy determine automatically whether a request provisions immediately or waits for a named approver.

03

One audit record

Every request, whichever path it takes, is captured alongside the workflow execution that fulfilled it, available for later review.

Architecture session

Turn your request backlog into a governed catalog.

We will help you identify which requests can auto-provision safely and which still need a named approver, and set up the catalog to match.