Q Agents

AI agents that keep working across your business.

Q Agents work in the background across your connected business data, looking for what has changed, what needs attention and what should happen next.

Each Q Agent has a specific job. Qtell gives it the wider business information it needs to do that job properly.

Q Agents are always on, working across your business 24/7. No prompt. No nudge. No one has to remember to check.

Create an account

Larkfield

OvernightExample

Select an item to see more. Made-up figures.

Always working

Each Q Agent focuses on one critical area, with access to the wider business data it needs.

A Q Agent can focus on one critical area without being limited to one system.

When the job depends on information held elsewhere in the business, Qtell can bring that information together so the agent works with the wider picture.

Q Agent jobsExample

Select a job to see the data it works with.

Without being asked

Q Agents find what matters before someone goes looking for it.

Q Agents run in the background and check your business data on schedule.

A change, risk or opportunity can be picked up without someone opening a dashboard, running a report or knowing what question to ask.

When something matters, Q Agents can surface it, recommend what happens next or take an action you have already allowed.

Larkfield

Found on the last checkExample

Across the business

One signal rarely tells you enough.

A fall in enquiries means more when you can see what happened to bookings.

Attribution means more when you can compare it with customer value.

A forecast means more once you can compare it with what actually happened.

Q Agents can bring those signals together, so what happens in one part of the business can be understood alongside what is happening elsewhere.

Found by a Q AgentExample

Each signal says little on its own. Select compare.

Action

Finding something is only useful if something happens next.

A Q Agent can turn what it finds into action.

Send an alert. Write a briefing. Record a finding. Start another workflow. Or stop and ask for approval before anything happens.

The next step depends on the rules you set.

FindingExample

Weekly enquiries are 12% below last week.

What happens next?

Control

Automate the routine. Leave the risky decisions to your people.

You decide what Q Agents can do automatically and what needs approval.

Routine actions can run without waiting for someone. Actions with greater consequences can stop before anything changes and wait for a person to approve or decline them.

Your rulesExample

Switch any action between the two. You set the rule for each.

One understanding

Every Q Agent works from the same understanding of your business.

Q Agents are not separate AI tools each trying to work out what your numbers mean.

Qtell provides the connected business data and the rules behind it, so each Q Agent works from the same definitions, relationships and permissions as the rest of Qtell.

That means more agents do not create more versions of the business.

Your other AI