Most accounting work is still manual: invoices are retyped, data is moved from one system to another, reports are assembled by hand. That costs time and creates errors — and most of it no longer needs a human to do it.
What can be automated
Document processing
Invoices, delivery notes and contracts are read automatically — the data lands in the system without retyping. This is where most of the time goes and where most errors appear.
Transaction classification
Bank transactions are recognised and matched to accounts automatically. The system learns from earlier decisions, so it needs fewer corrections over time.
Connecting systems
CRM, ERP, bank account and accounting software start talking to each other. Data moves on its own rather than through export and import.
Reports that build themselves
A cash flow statement, KPI dashboard or profitability report — generated automatically and available when needed, not a week after you ask.
Smart forecasting
Cash flow and demand models based on your own historical data, so decisions rest on numbers rather than instinct.
Where it is genuinely needed, I also build tailored solutions for specific requirements — for example, resource planning or profitability control tools.
About AI — clearly and without overstatement
Artificial intelligence here is not a marketing word. But there are two things I want to state directly:
AI does not make final decisions. It extracts data, classifies and suggests. Every decision with consequences — tax classification, the content of a filing, positions in an annual report — is reviewed and approved by a human. And an ACCA-qualified human is accountable for it, not an algorithm.
Your data is not used to train AI models. I use solutions and settings that prevent it. Accounting data is confidential, and technology does not change that.
E-invoicing — why it matters now
In Latvia, e-invoicing has been mandatory for public sector transactions since 2025, and it becomes mandatory between businesses in 2028.
For companies that put document flow in order early, the transition will be a technical formality. For those who wait until the deadline, it will be a scramble. Automation solves this along the way. If document flow currently runs through accounting outsourcing, e-invoicing readiness is already part of it.
How it starts
- 1. We look at where the time goes. Which tasks repeat every month and how many hours they take.
- 2. We choose what to automate first. Starting with the highest benefit for the least effort — usually document processing.
- 3. We implement step by step. Not everything at once, so daily work is not disrupted.
- 4. We measure the result. Hours saved, errors avoided.
Frequently asked questions
Do I have to change my accounting software?
Usually not. Most solutions work with what you already have.
How long does implementation take?
Automating a simple process is a matter of days. System integration takes weeks. I can tell you after the first conversation, not before.
Is this only for large companies?
No. Often the saving is more noticeable in a small company, because there the manual work is done by the owner.
What happens if the AI gets something wrong?
That is exactly why a human approves every decision. Responsibility for the result stays with me, not with the technology.
Does automation have to be bought separately from accounting?
No. If you use the accounting service, automation is part of how I work. It is a separate service for those whose bookkeeping is already handled elsewhere.