Automation you can see working

AI staff for the boring jobs that leak money.

Missed calls. Follow-ups. Recall runs. Invoice chases. Social replies. We install one workflow first, prove it works, then widen from there.

Start with one workflow. Expand only after the first leak is under control.

LIVE WORKFLOW BOARDSeeded demo activity
T+00
Missed call receivedLeeds plumbing lead · after-hours
queued
T+14s
Text-back sentBooking link + service triage
done
T+52s
Prospect qualifiedBoiler issue · tomorrow morning OK
checked
T+4m
Slot booked08:30 survey locked in
booked
T+5m
Summary pushed to teamJob card, notes and contact saved
logged
87calls rescued today
214follow-ups sent
£12,480chased this week
Pick your first leak

Start where it hurts first.

Most businesses do not need “AI everywhere”. They need one repetitive job taken off the team’s back. Pick the leak that already wastes time or costs revenue.

Missed calls

Catch the lead while the job is still warm, not the next morning.

after-hourstext-backbooking link

Follow-ups & recalls

Keep reviews, recalls and dormant leads moving without a daily admin chase.

recall listnudgesrebooked

Invoice chasing

Recover cash faster without making the team spend Friday afternoon copy-pasting reminders.

due datesgentle chasepaid

Social reply handling

Answer simple inbound questions quickly and route the exceptions to humans.

IG + WhatsAppFAQhandoff
Micro-flow

Missed calls

Call missed → text-back sent → survey booked

triggeractionnext step
Handoff

This is not one chatbot pretending to do everything.

Different agents catch, check, route and report. The buyer should see the handoff immediately.

Trigger CLOSER SHIELD Action sent TEMPO report

Catch the event, pull context, run the rules, send the next step, then log the outcome back to the team.

Sector demos

Different sectors. Different workflows.

A dental recall flow is not a trades quote follow-up. The point is not generic AI. The point is automating the exact repetitive job your sector already runs badly by hand.

Dental recall run

Patients due this month are grouped by hygiene, treatment and urgency. Reminder texts go first, unresponsive patients get a second nudge, then the open chair slots are re-filled before the team starts calling manually.

41slots rebooked
19mmedian reply time
72%recall completion
Proof before pitch

Show the operational number.

We win faster when we show the boring number: calls rescued, bookings recovered, records chased in, hours returned.

184calls rescued
41bookings recovered
71%records in before deadline
Week one

What happens in week one.

We learn the workflow, set the red lines, test it safely, then let one wedge go live.

Deployment board

Map the workflow

We take the repetitive job apart: what triggers it, what data it needs, what counts as success, and where a human still needs to stay in the loop.

Inputs: inbox + CRMOutput: safe next stepHuman sign-off: required

Start with one workflow. Keep the rest for later.

If you already know the admin leak you hate most, that is enough to begin.

Missed callsFollow-upsInvoice chasingSocial replies
Public operating status

We do not hide the holds.

A good automation system does not just show uptime. It shows what is live, what is paused, what is waiting for a human, and what we refuse to automate.

Demo note: the counters and incident rows below are seeded examples that mirror the kind of operational data clients see inside their own tenant.
Live lanes12

Reply, triage, publishing and finance lanes currently active.

Held items7

Items waiting for a human because the system chose caution.

Paused channels1

Channels paused on purpose because auth or uptime needs fixing first.

Last incident cleared09:06 UTC

Publishing resumed cleanly after the most recent handled incident.

See status by lane, not by marketing category.

Filter the seeded board below to see queue depth, first action time, held-for-human count and paused channel count in plain English.

Reply & triage

Fast first actions matter more than blanket uptime when inbound demand is live.

Healthy with visible holds
Queue depth18

Mostly new leads and admin queries.

Average first action4m 12s

Fast enough to feel useful for inbound.

Held for human5

Complaints, refunds and uncertain intent.

Paused channels0

No inbound channels currently paused.

These things stop the system on purpose.

Healthy automation has brakes. The system should hold, block, pause or route before it creates avoidable mess.

Complaint or refund language

Sharp language, refund requests or discount pressure moves straight into human review.

hold

Regulated or risky advice

Anything that looks like risky operational, financial or compliance advice is blocked and routed.

block

Missing context or confidence drop

If the system lacks the context to answer safely, it asks for help or holds.

route

Channel outage or auth failure

When a token expires or a provider fails, the lane pauses and the queue is preserved.

pause

Incidents are useful when they teach you what the guardrails are.

This seeded timeline shows how the system behaves when something breaks or gets held on purpose.

X posting token expired → publishing pausedNo outbound posts attempted while auth was invalid.
+0m
Queue preserved, no posts lostDrafts stayed queued and visible while the lane was paused.
+5m
Token refreshed, publishing resumedThe lane reopened cleanly once the dependency was back.
+17m
Complaint keyword detected in reply lane → escalatedThe system held the thread instead of auto-sending a bad response.
+48m
Human resolved, lane reopenedThe held item closed and the lane kept running.
+52m

Public proof, private data.

The public page shows operating discipline. Client detail stays private.

Visible

  • Uptime
  • Hold counts
  • Queue health
  • Incident categories
  • Paused channels

Never public

  • Customer names
  • Message bodies
  • Invoice values
  • Contact details
  • Credentials

Automation health is not just “green everywhere”.

A healthy lane includes some holds. Zero holds can mean under-policed. Endless holds can mean under-trained.

Fast enough to be useful

First action times stay short enough that the automation actually removes waiting.

Strict enough to be safe

Complaints, risky advice and low-confidence cases hit the right brakes.

Escalations small enough to be manageable

Humans see the edge cases without being buried by the routine work.

FAQ

The point of the page is trust, not theatre.

Are these numbers live?

No. They are seeded examples that show the operating pattern clients see in their own tenant.

What counts as a hold?

A hold is any item that stops for human review because of risk, uncertainty or a policy boundary.

Can a client see their own detailed logs?

Yes. Clients can review their own queue detail, hold reasons and incident history privately.

Do you auto-resume after every incident?

No. Some incidents can auto-resume after the dependency recovers. Others stay paused until a human checks them.

What is always human-only?

Refunds, discounts, sensitive complaints, risky advice, and other high-judgement exceptions stay human-only.

Can a client force stricter approval mode?

Yes. Approval ladders can start at draft-only and remain stricter for longer if that suits the workflow.

Draft onlySuggested sendAuto send

Want this level of visibility on your own workflows?

We can show you exactly how replies, triage, publishing and finance lanes behave before anything is left alone.

Status means holds, pauses and limits are visible — not hidden.

📅Book a Demo