New: what governed autonomous procurement actually means
Proconomy · Intelligence, agents & governance · Security & AI governance

AI Governance for Procurement Your Security Team Can Authorise

Autonomy your security team can actually approve.

It starts here

Users and agents operate inside explicit roles scoped by entity, category and data.

Proconomy runs

  1. RuleRole-based access defines who may see and do what
  2. RuleAgent permissioning gives every agent a job and a boundary
  3. RulePolicy and threshold controls turn policy into executable rules
  4. HumanHuman approval checkpoints hold consequential decisions
  5. AgentExplainability shows why an action was permitted, blocked or escalated
  6. HumanOverride is available to authorised people and is recorded
  7. RecordA complete action audit trail is retained

Six controls. Each one enumerable.

Role-based access

Users and agents scoped by entity, category and data.

Agent permissioning

Explicit permitted actions, value limits and escalation paths per agent.

Executable thresholds

Policy as running rules, so routine work proceeds and material exceptions stop.

An action taken. A record that survives the people.

  1. 01

    Non-bypassable checkpoints

    Consequential decisions reach named roles and cannot be routed around.

  2. 02

    Explainability and override

    Any material action can be explained and reversed, with the reason recorded.

  3. 03

    A complete action trail

    Observation, rule, action, approval, exception and override, retained together.

See exactly where it runs. And exactly where it stops for you.

Seven stages, each with a control you can point at. 2 of them wait for a person.

  1. Rule

    Role-based access defines who may see and do what

    Lower access risk and clearer separation of responsibility.

  2. Rule

    Agent permissioning gives every agent a job and a boundary

    More automation without uncontrolled action.

  3. Rule

    Policy and threshold controls turn policy into executable rules

    Policy becomes enterprise infrastructure rather than a document.

  4. Human

    Human approval checkpoints hold consequential decisions

    People retain authority over what matters.

  5. Agent

    Explainability shows why an action was permitted, blocked or escalated

    Higher adoption because the system can be questioned.

  6. Human

    Override is available to authorised people and is recorded

    Automation that can be corrected rather than merely stopped.

  7. Record

    A complete action audit trail is retained

    Governed AI becomes auditable enterprise operation.

Rule

Role-based access defines who may see and do what

Rule

Agent permissioning gives every agent a job and a boundary

Rule

Policy and threshold controls turn policy into executable rules

Human

Human approval checkpoints hold consequential decisions

Agent

Explainability shows why an action was permitted, blocked or escalated

Human

Override is available to authorised people and is recorded

Record

A complete action audit trail is retained

Seen enough?

See Security & AI governance run on one of your own security & ai governance workflows, including the part that usually goes wrong.

Someone from client success replies, not a sales sequence. The assessment asks for no email.

Answer “who approved this, and why” in seconds. Not in weeks.

Authority written down

Each agent carries an enumerated permitted-action set and a value ceiling you configure per entity.

Checkpoints that cannot be bypassed

Consequential decisions return to the people your policy names, and no configuration removes them.

Evidence without a separate tracker

Every action is attributed to an actor and the permission that allowed it, retrievable per transaction.

What we need from you. Less than you think.

01

Your policy, written down

The thresholds, approvers and buying routes you already operate. Configuration is transcription, not redesign.

02

One data connection

Read access to the master and transaction data this workflow needs. Write-back is scoped separately.

03

A named process owner

One person who can settle "what should happen when…" without convening a committee.

Work with your existing tools.

Proconomy connects to the systems you already run. The ERP stays the system of record.

Microsoft Entra ID
Okta
Google Workspace
SAML 2.0
SCIM
ServiceNow
REST API
Webhooks

Bring us a real Security & AI governance problem. Not a vendor scenario.

Not a vendor scenario — one of yours, including the part that usually goes wrong. You will see where the agents act, where the platform stops, and what it leaves on the record.

Someone from client success replies, not a sales sequence. If we are not a fit we will say so on the first call.