New: what governed autonomous procurement actually means
Proconomy · Solutions · By outcome

Procurement Governance Software That Executes Your Policy

Turn your approval matrix, thresholds and buying rules into controls that run identically in every entity.

It starts here

A request, supplier response, due date, quality event or data condition starts the workflow instead of an email starting a conversation.

Proconomy runs

  1. TriggerWork enters the governed record
  2. AgentThe agent gathers what the decision needs
  3. RuleRules decide what may happen next
  4. AgentThe agent executes the authorised work
  5. HumanConsequential decisions return to people
  6. SystemThe approved outcome reaches the system of record
  7. RecordThe complete history is retained

What changes. And what stays exactly where it is.

Today

Policy lives in a document and a training deck.,Compliance is checked retrospectively by sampling.,Exceptions are agreed verbally.,Audit preparation is a project.

Under governed execution

Policy executes as part of every workflow.,Compliance is a property of how work runs.,Exceptions carry a named approver and a stated reason.,Audit retrieval is a search.

The parts that deliver this. Each one governed the same way.

  1. 01

    Security & AI governance

    Permissions, thresholds, checkpoints, override and audit trail.

  2. 02

    Multi-entity management

    Group rules that cannot vary alongside configured local authority.

  3. 03

    Intake & orchestration

    Applies the buying policy at the point work enters procurement.

  4. 04

    Supplier management

    Enforces qualification requirements before a supplier can be used.

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

The operating model behind every workflow on this page. One stage waits for a person.

  1. Trigger

    Work enters the governed record

    Nothing depends on a person noticing an inbox.

  2. Agent

    The agent gathers what the decision needs

    Work arrives decision-ready rather than partially formed.

  3. Rule

    Rules decide what may happen next

    The route is chosen by policy, not by who received the request.

  4. Agent

    The agent executes the authorised work

    Routine work progresses without a buyer moving every step.

  5. Human

    Consequential decisions return to people

    Authority stays exactly where your policy puts it.

  6. System

    The approved outcome reaches the system of record

    No manual re-entry, and the ERP stays authoritative.

  7. Record

    The complete history is retained

    A decision can be explained long after it was made.

Trigger

Work enters the governed record

Agent

The agent gathers what the decision needs

Rule

Rules decide what may happen next

Agent

The agent executes the authorised work

Human

Consequential decisions return to people

System

The approved outcome reaches the system of record

Record

The complete history is retained

Seen enough?

See this running on one of your own workflows, with your policy and your thresholds applied.

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.

How this is adopted. One workflow at a time.

01

Encode the policy you have

Start by expressing the current approval matrix and buying rules exactly. Improving them is a later, better-informed decision.

02

Name the group rules explicitly

Write down what may never vary. Ambiguity here is what produces a different interpretation at every site.

03

Design exception handling deliberately

Decide who approves each class of exception before go-live, so escalation is a route rather than a queue.

04

Review exception patterns quarterly

A rule that generates constant exceptions is usually a rule that does not match operating reality.

Bring the workflow this describes. Not a vendor scenario.

One of your own processes, 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.