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Work that runs itself

Approvals, documents, notifications and decisions automated end to end, with AI that reads, sorts and answers from your own data.

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Service 02 of 08 · Process automation & AI

Example workflow · a beverage manufacturer
08:02
  1. · Stock Stock falls below its reorder point PET preforms: 12,000 left against a reorder point of 15,000. The system raises purchase request PR-0418.
  2. · Budget Budget checked Packaging budget for the quarter has ETB 3.2M left. The request passes.
  3. · Telegram Approval sent to the right person Over ETB 500,000, so it goes to the procurement manager, on her phone.
  4. · Manager Approved with one tap Recorded with name, time and comment. Nobody printed anything.
  5. · Purchasing Purchase order goes to the supplier PO-0418 generated, signed and emailed with the delivery date.
  6. · Warehouse Goods received and scanned 40,000 units checked in against the order. Stock and batch updated.
  7. · Document AI Supplier invoice read Amount, VAT and TIN read from the PDF and matched to the order and the delivery.
  8. · Finance Payment scheduled and posted Transfer scheduled for the due date; the journal entry posts itself and the dashboard updates.

Six systems and two people. Nobody typed a number twice. Most of those five hours is the supplier’s delivery.

An example system on sample data. It is interactive: open the tabs, rows and filters.

The problem we solve.

Every organisation has work that repeats: copying data between systems, chasing approvals, matching payments, answering the same questions, building the same report every Monday. We map that work, automate it end to end, and leave people the decisions that need judgement.

Before

  • People copying data between systems, chasing signatures and building the same report every Monday.

After

  • Approvals, documents, payments and reports that move on their own, with people only where judgement is needed.

What we build.

For finance, operations and customer teams that spend their days moving information instead of using it.

  • 01

    Approval workflows

    Requests that route themselves to the right person, by amount and department, approved from a phone or by email.

  • 02

    Document AI

    Invoices, receipts, IDs, forms and contracts read automatically and turned into structured data.

  • 03

    Automatic reconciliation

    Payments, invoices and bank statements matched without anyone opening a spreadsheet.

  • 04

    AI assistants

    Answers for staff and customers drawn from your own policies, catalogue and records, with a person in the loop where it matters.

  • 05

    Notifications and bots

    The right message by email, SMS or chat when something needs attention, and bots that take orders and requests.

  • 06

    Scheduled reporting

    The reports leadership asks for, generated and delivered on time, every time.

What changes.

  • Hours of manual work returned every week
  • Fewer errors from retyping
  • Every step logged and auditable
  • Faster answers for customers

Built this way.

Projects where this service did the heavy lifting. Open one for the before and after, the modules and the stack.

  • Distribution and wholesale Addis Ababa and six regional cities Live

    Multi-branch operations platform

    BeforeSeven branches, three warehouses, one spreadsheet each; approvals in a chat group; month-end in a week.

    AfterStock, sales, finance and approvals live across every branch; leadership opens one dashboard each morning.

    • Inventory and warehouses
    • Sales and credit control
    • Purchasing and approvals

    Enterprise · Process · Data, · Integration, Case study

  • Microfinance Oromia and Sidama Live

    Digital lending platform

    BeforeLoan files passed between desks for days; field officers recorded collections in notebooks.

    AfterApplications scored and routed by rule, approved on a phone, and repayments recorded offline in the field.

    • Loan origination
    • Credit rules and scoring
    • Field collections app

    Digital · Mobile · Process · Integration, Case study

  • Healthcare Addis Ababa Live

    Hospital management system

    BeforePatient cards lost between visits, queues at every counter, medicines expiring on shelves.

    AfterOne record per patient across departments, live queues, pharmacy stock with expiry alerts and billing at the point of care.

    • Registration and records
    • Appointments and queues
    • Laboratory and pharmacy

    Enterprise · Process · Data, Case study

All projects →

Questions, answered straight.

Anything else? Ask us directly: we reply within one working day.

Ask a question
What should we automate first?

The work that repeats most and has clear rules: approvals, payment matching, data entry between systems and routine reports. We measure it first, so you know what each automation saves.

Is AI safe to use with our data?

We keep your data in systems you control, use AI only where it measurably helps, and design every flow so a person reviews anything consequential. AI answers come from your own records, not guesswork.

Does automation replace our staff?

It replaces the copying, chasing and checking. Your people spend that time on customers, decisions and the exceptions that need a human.

Bring us the work that slows you down.

Tell us how things run today. We reply within one working day with what we would build first and how long it would take.

Start a project → projects@kavod.et

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