One receipt, split across a group
A mixed receipt is photographed after a group meal. The model itemises it and a deterministic calculator works out what each person owes, so the balances settle themselves.
The part of this that touches money is ordinary code, and code does not approximate. The model is there to read what arrived and decide what it is, which is the part people are slow at.
Financial data automation moves a transaction from wherever it arrives into your ledger without somebody retyping it. A model reads the receipt or the bank line and decides what the entry is. The arithmetic that follows runs in ordinary code, so totals and splits are calculated rather than predicted.
Finance runs on data that arrives in the wrong shape. Somebody exports a CSV, matches rows against a statement, and fixes what does not line up. It absorbs the last week of every month and it gets worse as volume grows.
A statement in one window, a spreadsheet in the other. Somebody reconciles them line by line.
The same supplier gets filed two ways by two people. The report that comes out is wrong in a way that nobody downstream can see.
The spreadsheet everything depends on was built by somebody who has since left the company. It works until a row goes in the wrong place.
Bank feeds arrive as structured rows, and receipts arrive as photographs taken on a phone. A vision model handles the second.
A model reads the line and the supplier, then decides what kind of entry it is. It follows how your team categorised the same thing before.
Totals and splits never pass through a model. They run in deterministic code, which is auditable and gives the same answer every time.
Two days with whoever does the reconciling now. Every manual step gets a cost against it.
The plan names which part of the pipeline to automate first, and what it saves each month. You decide whether it goes ahead.
The pipeline goes live alongside what you do now, so the two can be compared. Nobody switches off the spreadsheet on trust.
This compares two ways of getting the same numbers. One of them can be checked afterwards.
| Measure | Spreadsheet reconciliation | An automated pipeline |
|---|---|---|
| Getting data in | Exported and retyped | Read from the feed or the receipt |
| Deciding a category | Whoever is doing it that day | The same rule, applied every time |
| When it happens | A scramble at month end | As each transaction lands |
| Doing the maths | A formula nobody has audited | Code that is versioned and tested |
| An entry that looks odd | Found later, if at all | Held back for somebody to confirm |
Three jobs where the numbers already exist. Each one splits the same way, with a model doing the reading and code doing the calculating.
A mixed receipt is photographed after a group meal. The model itemises it and a deterministic calculator works out what each person owes, so the balances settle themselves.
Subscription charges and reward balances are watched as they post. Anything that does not match what the plan says it should be gets held up before it reaches a customer.
A vendor PDF arrives and is read into fields. Those are matched against the bank feed, and the verified transaction is pushed into whichever system your books already live in.
The split matters more here than anywhere else. A model is good at reading a document and a poor choice for calculating a balance.
We build the ledger rather than bolting onto somebody else's. Nothing on this list is a requirement, and the work goes ahead against whatever your software was built on.
Every quote here is a real Trustpilot review. We did choose which ones to show you. The score beside them is the part we do not control, and it counts all 29 reviews.
These reviews are for Appkodes, our software product division.
A Joysale client on the product and the service
He runs a marketplace built on Joysale, our Letgo style product. The clip is his own account of working with us.
A Fantacy client on the build
Fantacy is our Amazon style retail product. He goes through what was built and how the work ran.
An Airfinch client, filmed after his written review
Airfinch is our Airbnb style rentals product. He had already left the same review on GoodFirms before recording this.
A second Joysale client on the same product
Another marketplace running on Joysale. Worth watching beside the first, since the two bought the same thing.
I've worked with Appkodes for 7 years on 4 different projects. We constantly require support or the implementation of new features, and we have the guarantee that the quality of their work remains the same throughout this time.

Appkodes exceeded all of our expectations! From the very first contact, the team demonstrated a high level of professionalism, technical expertise, and commitment to quality.

Appkodes team helped me to launch my healthcare application very quickly. Their software was very close to my requirements and adding some extra features made my project easy.

I so much love your services and I will continue to patronize your company.

I worked with AppKodes for a website and mobile app development project, and overall, I'm very satisfied with the results. Their team was responsive and flexible throughout the process, and they delivered a product that met my expectations both in design and functionality.

It was a good experience working with the team. They understood my ideas clearly and built everything as expected. The team was supportive, quick to respond, and helped me whenever I needed changes. Thank you for your hard work and support!

I have got a mobile app project going on successfully with the team. Their Support is good. turn around time for any requirement is great. Every detail of my app is meticulously designed. THANK YOU APPKODES.
Appkodes is a leader in developing high-quality applications and websites. It was a pleasure working with them, and this certainly won’t be our last collaboration. My experience was exceptional, they developed an outstanding app and website, with smooth and refined interactions.
Overall very good experience. I have been availing services for past 3 years. They are available for discussions and resolving issues whenever we faced any. Mr. Saravana has been looking after our project and I'm very much happy with his timely response. I would definetely recommend.

Initially, I was hesitant to deal with them, believing their customer service would be poor. However, I was surprised. They act with great responsibility and professional efficiency. My regards to them.

You have been supporting me very quickly in every matter, especially in the last 2 months, and this makes me very happy.

Very professional. Our project was quite complex and they covered all the aspects. Appkodes did an amazing and professional job developing and creating our Apple and Android apps. I was positively impressed with the communication you can absolutely trust on what they say.

Mani and Saravanan of the Appkodes team are amazing, they have done the best to create and support my project! I give them 10/10 stars for their efforts and work!

It was really great, they are there for me whenever I had a problem or to fix something. Thank you so much Ameer

I've been working with Appkodes for almost a year and i can recommend them to work with as they are so much friendly and professional and you can clearly see it once you start your project right away. They are intact and they are transparent with their communication.

I have to be honest, sometimes it's hard to find a company or someone abroad to do your project. Not only might you waste your time and money, there is this thing called trust. In business you must trust the person you are dealing with.

Businesses we have built for












It never gets the chance. The model reads documents and decides categories, and that is the whole of its job. Every total, split and balance is calculated by ordinary code that is versioned and tested, which does not approximate and gives the same answer twice.
No. The pipeline sits between what you already run and where the data comes from, pushing verified entries into the system your books live in. Replacing an accounts package is a separate project and rarely the one worth doing first.
It stops and asks. Anything the model is not confident about is held for a person to confirm rather than filed on a guess. You decide where that line sits. Most teams set it tight at first, then relax it.
It is using a model for the reading and the sorting, and code for everything that touches a number. The AI half handles receipts and bank lines arriving in whatever shape they arrive in. The calculating half stays deterministic on purpose.
Yes, and shared accounts are exactly where the deterministic half earns its keep every time. Who owes what across a group is arithmetic, and it needs an audit trail behind it. A model is the wrong tool for that and a calculator is the right one.
Fintech AI integration is exactly what this is. If you ship a financial product yourself, the same split applies, and your own code owns every figure a customer sees.
Receipts and bank feeds come in through the same pipeline and are matched against each other. What matches is written through. What does not is held with both sides visible, so whoever looks at it can see why in seconds.
Data entry, answering the same tickets, chasing numbers between systems. We automate the parts that repeat. Your team keeps the parts that need judgement.

