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What automation looks like in your industry.

The software differs from one industry to the next. The repetitive work is remarkably similar: documents retyped, reports rebuilt, follow-ups that depend on someone remembering.

Typical automations are examples of what can be built, not a list of clients.

Manufacturing

The problem

Production figures moved by hand between three systems.

Production figures, sales data and quality records sit in your ERP, in spreadsheets and in inboxes, and someone spends hours every week moving them between the three.

Where it usually starts

A daily production report that someone retypes.

Daily production report

Line 2 · night shift

Simulated data
  1. 06:10

    Shift report received

    Status: Received06:10

    PROD-L2-0914.xlsx · emailed by the line supervisor

  2. 06:11

    Output, scrap and downtime extracted

    Status: Read by AI06:11
    Output
    1,840 units
    Scrap
    46 units
    Downtime
    38 min
  3. 06:11

    Scrap rate above target

    Status: Needs a person06:11

    Downtime within the 45-⁠minute limit.

    Scrap rate
    2.5%
    Target
    ≤ 1.5%
    Output vs plan
    +2%
  4. 06:12

    Dashboard updated, manager alerted

    Status: Done06:12
    Dashboard
    Line 2, today
    Alert to
    Production manager
Illustrative workflow with fictional data. Nothing here is sent.

Typical automations

  • Production reporting
  • Operational alerts
  • Quality and document workflows
  • Management dashboards
  • Sales reporting automation
  • Customer monitoring
  • Email workflows
  • Data extraction and processing

All industries

Construction

The problem

Supplier invoices keyed in by hand, site by site.

Supplier invoices, delivery notes and approvals arrive from several sites at once, and the accounts team keys each one into the accounting system by hand.

Where it usually starts

Supplier invoices from several sites landing in one inbox.

Supplier invoice

Site inbox · materials delivery

Simulated data
  1. 10:18

    Invoice forwarded from site

    Status: Received10:18

    SBM-2026-0474.pdf · Sample Building Materials LLC

  2. 10:19

    Extracted and matched to the PO

    Status: Read by AI10:19
    Invoice
    SBM-2026-0474
    Purchase order
    PO-3052
    Total
    AED 21,682.50
  3. 10:19

    Held for the project manager

    Status: Needs approval10:19
    Unit price
    AED 2,950.00
    PO-⁠3052 price
    AED 2,900.00
    Variance (7 t)
    AED 350.00
  4. 11:02

    Approved and posted to accounting

    Status: Posted11:02

    Approved with the variance noted.

    Bill
    SBM-2026-0474
    Amount
    AED 21,682.50
Illustrative workflow with fictional data. Nothing here is sent.

Typical automations

  • Supplier invoice processing
  • Approval workflows
  • Project cost reporting
  • Accounting workflow automation
  • Purchase and document processing
  • Payment monitoring
  • Management dashboards
  • Document organisation
  • Financial reporting workflows

All industries

Real Estate

The problem

Enquiries on every channel, answered by whoever is free.

Enquiries arrive by portal, WhatsApp, email and phone, and whoever is free that day decides whether they are answered, logged or forgotten.

Where it usually starts

Enquiries answered late because they arrive on four different channels.

New enquiry

Property portal

Simulated data
  1. 11:24

    Enquiry arrives from a portal

    Status: New11:24
    Looking to buy a 2-⁠bedroom in Business Bay this quarter. Could we view this week?
  2. 11:24

    Enquiry qualified

    Status: Read by AI11:24
    Intent
    Buy
    Unit
    2-⁠bedroom
    Area
    Business Bay
  3. 11:25

    Matched in the CRM

    Status: Matched11:25

    New contact created. 3 listings match the brief.

  4. 11:25

    Assigned to the area agent

    Status: Assigned11:25

    Sales agent, Business Bay, with the viewing request.

  5. 11:26

    Personalised follow-up drafted

    Status: Draft ready11:26
    Three apartments in Business Bay match your brief. Would Wednesday or Thursday suit for a viewing?

    The agent reviews it before it is sent.

Illustrative workflow with fictional data. Nothing here is sent.

Typical automations

  • Lead routing
  • Follow-up automation
  • Client communication
  • Listing data management
  • Payment tracking
  • Management dashboards

All industries

Finance

The problem

Month-end figures that pass through too many hands.

Invoices, bank lines and month-end figures pass through email and spreadsheets before they reach the ledger, and every hand-off is a chance for something to slip.

Where it usually starts

Month-end built from spreadsheets emailed around.

Supplier invoices

Accounts inbox · since Friday

Simulated data
  1. 08:30

    Invoices collected from the inbox

    Status: Received08:30
    Invoices
    14
  2. 08:31

    Extracted and matched to purchase orders

    Status: Read by AI08:31
    Matched
    13
    Exceptions
    1
  3. 08:31

    Exception held for finance review

    Status: Needs review08:31

    The unit price differs from the purchase order.

    Invoice
    INV-2026-3318
    Over PO-⁠2046
    AED 300.00
  4. 08:32

    13 bills posted to the ledger

    Status: Posted08:32

    The month-end schedule is updated.

Illustrative workflow with fictional data. Nothing here is sent.

Typical automations

  • Invoice processing
  • Exception detection
  • Month-end reporting
  • Bank and ledger reconciliation assistance
  • Approval workflows
  • Document collection from clients

All industries

Healthcare Administration

The problem

Front-desk paperwork that all needs doing today.

Confirmations, insurance paperwork and supplier invoices all land on the same front desk in between patients; none of it needs a clinical decision, all of it needs doing today.

Where it usually starts

Front-desk staff spending afternoons on confirmations.

Front-desk inbox

Sample Clinic Group

Simulated data
  1. 10:04

    Insurance document received

    Status: Received10:04

    INS-0917.pdf · by email to the front desk

  2. 10:04

    Classified and matched

    Status: Read by AI10:04
    Type
    Insurance approval
    Reference
    PA-2026-0917
    Appointment
    APT-4471
  3. 10:05

    Filed with the appointment

    Status: Filed10:05

    Insurance approvals, September.

  4. 10:05

    Front-desk admin notified

    Status: For admin10:05
    Insurance approval PA-⁠2026-⁠0917 received for appointment APT-⁠4471. Please confirm the appointment with the patient.
Administration only: documents are sorted and routed. No clinical decisions are made.Illustrative workflow with fictional data. Nothing here is sent.

Typical automations

  • Insurance document handling
  • Appointment confirmations and reminders
  • Reporting for clinic managers
  • Supplier invoice processing
  • Patient communication templates
  • Stock reorder alerts

All industries

Fitness & Wellness

The problem

Follow-ups that depend on someone remembering.

Trials, renewals and class bookings all depend on someone remembering to send a message at the right moment, usually while they are on the floor with members.

Where it usually starts

Leads who enquired once and were never followed up.

Trial enquiries

Sample Fitness Studios · website

Simulated data
  1. 19:40

    Trial enquiry from the website

    Status: New19:40
    Do you have a trial class this week? Evenings only, after six.
  2. 19:40

    Request understood

    Status: Read by AI19:40
    Interest
    Trial class
    Preference
    Evenings, after 18:00
  3. 19:41

    Reply with three evening slots drafted

    Status: Needs approval19:41

    The front desk approves it before it is sent.

    Tue
    19:00
    Wed
    18:30
    Thu
    19:00
  4. 20:15

    Trial booked, reminder scheduled

    Status: Booked20:15

    Thursday 19:00, with a reminder the day before.

Illustrative workflow with fictional data. Nothing here is sent.

Typical automations

  • Lead follow-up
  • Membership renewals and follow-ups
  • Class booking reminders
  • Payment tracking
  • Instructor scheduling data
  • Owner dashboards

All industries

Professional Services

The problem

Partners reading every email to find the few that matter.

Partners read every email themselves because the few that carry a deadline or a decision look exactly like the many that do not.

Where it usually starts

Partners reading every email to find the three that matter.

Client email

Sample Trading Co.

Simulated data
  1. 10:47

    Client email received

    Status: New10:47
    Can you confirm the filing will be ready before Thursday? We need it for the board.
  2. 10:47

    Deadline and request identified

    Status: Read by AI10:47
    Deadline
    Thursday
    Request
    Confirm filing status
  3. 10:48

    Added to the deadline tracker

    Status: Tracked10:48

    Due Thursday, owned by the engagement partner.

  4. 10:48

    Partner reviews the drafted reply

    Status: Needs review10:48

    Nothing is sent without approval.

Illustrative workflow with fictional data. Nothing here is sent.

Typical automations

  • Email triage
  • Deadline tracking
  • Client onboarding documents
  • Proposal drafting from templates
  • Time and billing data consolidation
  • Partner dashboards

All industries

Retail

The problem

Branch numbers stitched together by hand every Monday.

Every branch has its own till export, its own supplier invoices and its own way of reporting Monday’s numbers, and head office stitches them together by hand.

Where it usually starts

Branch sales collected by phone on Monday morning.

Monday sales

All branches

Simulated data
  1. 07:00

    Branch till exports collected

    Status: Received07:00
    Branches
    4 of 4
  2. 07:02

    Formats mapped and consolidated

    Status: Read by AI07:02

    One branch exports a different layout; its columns are mapped.

  3. 07:02

    One branch below its usual week

    Status: Needs a person07:02

    Sent to the area manager with the figures.

    Branch
    Branch 3
    vs 7-⁠week average
    −31%
  4. 07:03

    Head-office dashboard updated

    Status: Updated07:03
Illustrative workflow with fictional data. Nothing here is sent.

Typical automations

  • Sales reporting across branches
  • Stock alerts
  • Management dashboards
  • Supplier invoice processing
  • Customer monitoring
  • WhatsApp order updates

All industries

Logistics

The problem

Every status question answered by looking it up manually.

Delivery orders, proofs of delivery and customer questions arrive all day, and the operations desk answers each one by looking it up manually.

Where it usually starts

Customers calling to ask where their shipment is.

Proof of delivery

Driver app

Simulated data
  1. 14:32

    Signed delivery note photographed

    Status: Received14:32

    POD-30418.jpg · from the driver app

  2. 14:32

    Delivery details extracted

    Status: Read by AI14:32
    Delivery order
    DO-30418
    Items
    12 of 12
    Signed
    14:27
  3. 14:33

    Matched to the order and invoice

    Status: Matched14:33

    The invoice is released for billing.

  4. 14:33

    Order closed, customer notified

    Status: Done14:33

    Sample Trading Co. receives the delivery confirmation.

Illustrative workflow with fictional data. Nothing here is sent.

Typical automations

  • Shipment document processing
  • Customer status updates
  • Delivery exception alerts
  • Invoice matching
  • Driver and fleet reporting
  • Management dashboards

All industries

Not listed?

The pattern usually is. Our contact form is not live yet; in the meantime, the demos show what we build.