Orchestrator

The control layer: queues, credentials, schedules, capacity and the monitoring that tells you before the business does.

Engagement

Assessment + implementation. Architecture and setup, or a review of what you already run.

Who it is for

IT and automation owners responsible for keeping robots running.

When people call us

Robots run from someone's desktop, credentials sit in workflows, or three processes want the same robot at month-end.

What we set up in Orchestrator

01

Tenants and folders

A structure that matches how your business is organized, with access scoped so a team sees its own work and nothing else.

02

Queue-based design

Work as queue items rather than scripts to completion — which is what buys retry, throughput by adding a robot, and reporting that means something.

03

Assets and credentials

Robot identities and secrets held in Orchestrator or a vault, never in code, with an audit trail of what ran against which account.

04

Triggers and schedules

Time and queue triggers designed around real business windows, including what happens when a month-end run collides with everything else.

05

Robot capacity

Attended against unattended, how many you need, and how capacity is shared when several processes peak together.

06

Environments and release

Development, test and production, with packages promoted rather than rebuilt, so a release is a deployment and not an edit.

07

Monitoring and alerting

Queue health, failure rates and SLA breaches surfaced to a named owner before anyone downstream notices.

08

Governance

Who can publish, who can start a process, and what gets reviewed — the controls that let an automation estate grow safely.

Work as queue items

The structural decision everything else rests on.

  1. 01
    Queued

    Work arrives as items, not as a script that runs to completion and hopes.

  2. 02
    Picked up

    Any available robot takes the next item, so throughput scales by adding a robot rather than rewriting.

  3. 03
    Completed

    Marked done with a result, building a record operations can actually read.

  4. 04
    Reported

    Volume, failure rate and SLA breaches surfaced to a named owner.

Failed, with a reason

A business exception goes to a person with the reason attached. A system exception retries, then escalates to support. Treating both the same is why operations teams stop trusting an automation — everything lands in one pile.

We design and set up the Orchestrator layer: tenant and folder structure, queue-based work, credentials held properly, triggers, robot capacity, and monitoring wired to an owner.

Queues are the structural decision

Work goes in as items. Robots take items, complete or fail them with a reason, and the queue becomes the record of what happened. That gives retry for free, lets throughput scale by adding a robot rather than rewriting, and produces reporting operations teams can actually read.

Credentials belong in the control layer

Secrets embedded in workflows are the finding every audit produces, and the reason a departing developer’s account still runs production a year later. Orchestrator assets or a vault, with robot identities that are not people, closes it.

Capacity is a design question, not a licence question

Most contention is predictable: month-end, payroll, reporting cycles. Sequencing and priority, set deliberately, usually resolve it without buying more robots.

What you keep

The code and the data·Your existing relationships·Approval and control·The ability to stop·The off switchWhat that means

Start with a 45-minute briefing.

No pitch. We’ll map your situation against what actually works and tell you honestly where to start.