Operators
byOptiverse
Executive briefing

Work that finishes itself, and shows its receipts.

An Operator owns an outcome, not a checklist. It gathers the context, does the work across your systems, asks a person when it matters, and leaves a record of every move.

Scoped access
Tools and contexts are clearly defined in the scope.
Human in the loop
Policy decides what waits for a human.
KPI driven
Each Operator owns a measurable outcome.
Today
  • People hand assemble pipeline reviews the night before.
  • Quotes and approvals wait on whoever is free to chase them.
  • Renewals and revivals depend on someone remembering.
  • High judgment work stalls because only a human can move it.
With an Operator
  • The outcome owns itself.
  • Triggered, executed, verified, logged.
  • Nothing falls through the cracks.
  • The work moves, and the person is only pulled in when it matters.
01

One Operator in motion

One request in. A finished, logged, human approved quote out. Here's a single run.

Quotation builder Operator
Live run
OperatorThu 9:41
Operator run Plays automatically while in view
02

What an Operator can own

Revenue work that spans days, systems, and follow-ups. Not just a note. A result.

Before

You promised three things on that call. By Friday you remember one.

After

The Operator caught all three, chased each across mail, tasks, and docs, and only pinged you for the one that needed a decision.

This is multi-day, multi-system work.

Promise keeper
Flagship Operator pattern

Meeting to CRM

Turns a recording into clean contacts, notes, and next steps.

Deal stage updater

Keeps stage, value, close date, and risk accurate after every touchpoint.

CRM janitor

Cleans records, removes duplicates, fills missing fields.

Pipeline reviewer

Checks stage accuracy before pipeline reviews.

Deal reviver

Restarts quiet deals or closes them properly.

Renewal risk

Flags churn signals well before renewal dates.

Handoff operator

Packages closed deals for the delivery handoff.

Coach

Scores calls and sends private coaching notes.

+

Plus whatever other tedious work that happens on a computer.

If you can describe the workflow, we can scope an Operator for it.

03

You stay in control

Every action is scoped, approved where it matters, and logged before it touches your systems.

Scoped access

Named actions on named data. No blanket keys by default.

Three modes

Every action is autonomous, needs approval, or blocked.

Named approvals

Managers approve where they work. Every answer is recorded.

Tested and traced

A version goes live only after it passes evaluations, and every run leaves one audit record.

One rule per actionIllustrative
  • Read opportunity and account records
    Salesforce, EMEA pipeline
    Autonomous
  • Read pricing and stock levels
    SAP, price lists only
    Autonomous
  • Write meeting notes and next steps
    Salesforce, notes field
    Autonomous
  • Send a quote to a customer
    Outlook, named contacts
    Needs approval
  • Change a discount above 15 percent
    SAP, quote header
    Needs approval
  • Delete records or close an account
    Any system
    Blocked

No blanket keys. No black boxes. The policy lives in code, and the audit trail lives in your systems.

04

How we deliver

A forward deployed engineer sets up your first Operators and proves them live, then your team takes over, with zero Optiverse engineering in the loop.

  1. First

    Map

    We map the real process with your team.

  2. Then

    Configure

    Triggers, systems, tasks, and policy.

  3. Next

    Prove

    Evaluations pass before go live.

    3 week supervised run

    An Operator earns autonomy only after it hits its KPI thresholds across a three week supervised run, watched by your team.

  4. Finally

    You take the wheel

    Your team defines the next Operators.

Tell us what you need an Operator to do.

Share your requirements and we'll map the first Operator to your process.

Share your requirements