Human operations layer
Admin that runs without being chased.
Inbox, calendar, documents, supplier coordination and data upkeep — handled by a named assistant, with the repeatable parts automated where automation genuinely holds up.
Named ownership, documented workflows and clear reporting.
Back office administration
Live workflow
ExecutionAI + automation
ControlHuman-owned
IntelligenceMeasurable
VA20Four7 ownsRecurring admin execution
Your team keepsBusiness decisions and approvals
One operating model
Execution. Control. Intelligence.
Three connected layers keep the work moving without turning automation into another black box.
ExecutionAI agents + automation
Handle the stable, repeatable steps.
ControlHuman owners
Approve, resolve exceptions and own sensitive judgement.
IntelligenceQA + customer signals
Measure quality, workflow health and what users are telling you.
What the workflow can own
What you can get off your plate.
Some of this should be automated and some of it genuinely should not. We scope the role around the work, then tell you which steps are stable enough to hand to software and which need a person watching them.
Data entry and cleansing
Records entered accurately, duplicates resolved and repeatable data rules documented.
Document handling
Files organised, formatted, versioned and stored so retrieval does not depend on one person’s memory.
Order processing
Orders logged, confirmations handled and exceptions flagged before they become customer issues.
Calendar and inbox support
Scheduling, triage and draft responses handled within the rules and priorities you set.
Supplier coordination
Routine confirmations, follow-up and status checks kept moving across suppliers and internal owners.
Process documentation
Recurring tasks turned into usable written workflows as the role is learned.
Execution + control
Automate what is stable. Keep human ownership where judgement begins.
The workflow separates repeatable execution from the moments that require a person. AI agents and automation handle stable steps; a named human owner handles judgement, approvals, exceptions and final accountability.
Back office administrationWorkflow view
Supplier follow-upRoutedCalendar conflictOwner reviewDocument requestCompleted
AITriage + preparationHuman ownerContext + follow-through
Intelligence layer
Do not just run the workflow. See how it performs.
The platform brings AI-agent and human-owner performance, Auto QA, scorecards and operational signals into one view. For customer-facing workflows, it also surfaces sentiment, pain points, feature requests and recurring conversation themes.
Explore the platform →Performance intelligenceLive platform
Create a repeatable quality layer around AI and human execution.
Measure workflow quality, completion and review performance.
See where automation needs human intervention most often.
Track completion, bottlenecks and recurring friction.
What changes
Less manual coordination. More visible execution.
Capacity matters, but the bigger gain is a workflow with clearer ownership, better handoffs and a measurable path from request to outcome.
Clear ownership, visible work
Recurring admin has a named owner, a documented workflow and a visible record of what moved, what was automated and what needed human judgement.
Measurement built in
Because we also build the measurement side, you get a clear record of what was done, what was automated and what a person checked — rather than a monthly summary written by the person being reviewed.
Your team gets focus back
Routine admin stops landing on whoever happens to be available and gets a clear owner instead.
Processes become repeatable
Documentation is created as part of the work, making cover, handover and training easier.
Fewer details rely on memory
Checklists, ownership and escalation rules reduce the risk of small tasks disappearing between people.
Fits your stackWorks around the systems you already use.
Google WorkspaceMicrosoft 365NotionAsanaAirtableSlackDropbox
How we start
One workflow first. Prove the model, then expand.
We map the work, define what AI can execute safely, place the named human control points and launch with a contained scope before expanding.
Map
Understand the workload and current handoffs.
Design
Define AI execution, named human review and escalation.
Launch
Run the workflow inside your existing systems.
Improve
Use QA and performance signals to refine it.
Questions
Questions before you start
Clear answers before you decide whether the model fits.
Could we just automate this instead?+
Some of it, yes. Filing, tagging and reminders hold up well once the rules are stable. Supplier coordination, anything non-standard and anything with a judgement call in it does not — and automating those tends to create more cleanup than it saves.
Could we just automate this instead?+
Some of it. Routing, filing and data entry automate well. Chasing a supplier who has gone quiet, or working out which of three conflicting documents is correct, does not. A person handles the exceptions so the automation can stay simple.
Is this only data entry?+
No. Data entry can be part of the role, but the larger value is often in coordination, follow-up, document handling and keeping routine processes moving.
How do you manage accuracy?+
The workflow can include checklists, sampled quality checks and clear rules for what should be escalated rather than assumed.
Can assistants work with sensitive documents?+
Where the role requires it, access should be provided through your own systems and limited to the minimum permissions needed for the work.
Start with the workload
Ready to get recurring admin off your team?
Tell us what keeps landing on people who should be doing something else. We will tell you honestly which parts are worth automating and which need a person.