KT Sparks

Solutions

Cut error rates

Fewer corrections downstream, because the cause was fixed upstream.

Overview

Most errors are not typing mistakes. They come from a rule that lives in someone's head, a field that means different things in two systems, or a document format that changed without anyone noticing. Correcting them downstream costs more every month than fixing the cause once.

We make the rules explicit and testable, validate inputs before anything is posted, and send whatever falls below the confidence threshold to a person instead of guessing. We count corrections before and after, so the improvement is a number rather than an impression.

Case studies

All case studies
Industrial Distributor Shipping Paperwork, Automated with UiPath

US industrial distributor · 50+ locations · valves, pipe and flow-control products

Industrial Distributor Shipping Paperwork, Automated with UiPath

documents separated out of each scanned batch
5-6
documents separated out of each scanned batch
signatures verified for each shipment
3-4
signatures verified for each shipment
UiPath Robot Linking SAP and Esker Invoices for a Luxury House

Italian luxury fashion house · belongs to a worldwide luxury group · process spans seven sister companies

UiPath Robot Linking SAP and Esker Invoices for a Luxury House

planned reduction in processing time
80%
planned reduction in processing time
sister companies handled by one routine
7
sister companies handled by one routine
Automated Hail Claim Payouts for an Italian Insurer

Insurer · Italy · life and non-life lines, more than €2B in yearly premiums

Automated Hail Claim Payouts for an Italian Insurer

checks before any payment goes out
4
checks before any payment goes out
manual entries between document and transfer
0
manual entries between document and transfer
An Automation Plan for an Independent School's Finances

Independent school with nursery · London · roughly 200 children

An Automation Plan for an Independent School's Finances

of finance work each week
20 h → 1 h
of finance work each week
freed every year
780 h
freed every year
On-Premise RPA for Bank Statement Entry

Accounting and advisory practice · Bulgaria · major clients in pharma, healthcare and R&D, some US-listed

On-Premise RPA for Bank Statement Entry

working days returned each month
~9
working days returned each month
statement lines keyed in by the robot
200-300
statement lines keyed in by the robot
Bank Statements That Reconcile and Post Themselves

Accounting practice · Bulgaria · 10-15 people, bookkeeping for 100+ client companies

Bank Statements That Reconcile and Post Themselves

of transactions reconciled and posted automatically
~90%
of transactions reconciled and posted automatically
statement formats from Bulgarian banks
5
statement formats from Bulgarian banks
Five Payment Channels Reconciled and Booked to AJUR Every Month

Accounting practice · Bulgaria · client: international data centre and hosting provider

Five Payment Channels Reconciled and Booked to AJUR Every Month

invoices posted in one monthly run
600
invoices posted in one monthly run
of bank statement lines processed with no manual work
95%
of bank statement lines processed with no manual work
AI That Reads and Posts Accounting Invoices

Bulgarian accounting practice · 10-15 people · bookkeeping for 100+ companies

AI That Reads and Posts Accounting Invoices

of documents go through uncorrected
97%
of documents go through uncorrected
less data entry every year
576 h
less data entry every year