A subscription product
Churn showing before it happens
Product usage and support history flag accounts drifting toward cancellation. The dashboard lists them early enough to matter.
Predictive business intelligence
A dashboard is a rear view mirror. Ask it what is ahead.
Reporting tools answer what happened and stop there, which leaves the interpreting to whoever is looking. The same data can answer what is likely next, and say which of last month's numbers actually moved the result.
- Sits on the database you already have
- Answers in plain English
You ask in EnglishNo schema needed
A number movesNoticed, not alarmed
Turned into a queryAgainst your own tables
Checked against historyHas this happened before
The figureWhat it is
The reasonWhat moved it
Your dashboardBoth, together
What AI powered business intelligence is
Predictive business intelligence AI puts forecasting and plain language querying into the dashboard people already open. Rather than clicking filters to assemble a view, somebody types the question they actually have and gets an answer built from the same records. The forecasting sits beside the reporting, so what happened and what is likely appear together.
Charts nobody acts on
Companies buy reporting software and open it once a month. The charts are correct and they describe a quarter that has already been paid for. A new question means asking somebody who knows the schema.
- 01
Every new question is a ticket
The dashboard answers what it was built to answer. Anything else waits for whoever writes the queries.
- 02
Alerts that only say a number moved
A threshold alarm tells you revenue fell. It does not say which segment, or whether this has ever happened before on this line.
- 03
The trendline is a straight guess
Most reporting tools forecast by drawing the last line onward. That is arithmetic with optimism attached.
The components of a smart BI dashboard
- 01
Forecasts with more than one variable
Charts show what is likely next rather than only what happened, weighing several factors at once. Each projection carries a confidence rather than a single line.
- 02
Ask it in plain English
Somebody types their question. The system turns it into a query. Nobody needs the schema or any SQL.
- 03
Reports that explain themselves
A scheduled summary says what changed and what seems to have caused it, in one place. An alert that names the cause gets acted on.
How the first three weeks run
- Week 1
01We look at the questions nobody can answer
Two days with the people who read the reports. The gap between what they get and what they need is the specification for this.
- End of week 2
02You get a costed plan
The plan names the first views and forecasts. You decide whether it goes ahead.
- From week 3
03It goes on top of your database
The layer reads what you already store. Your existing reporting keeps working throughout.
A reporting tool against predictive BI
Both read the same database. What separates them is what you can ask.
| Measure | A reporting tool | Predictive BI |
|---|---|---|
| Getting a new answer | Build a view, or raise a ticket | Type the question |
| What the forecast is | The last trend, extended | A model weighing several variables |
| What an alert says | A number crossed a threshold | What changed, and what moved with it |
| Who can use it | Whoever understands the schema | Whoever has the question |
| What it is built on | Its own copy of your data | The database you already run |
Predictive BI in action
Three dashboards built around a number nobody asked for. Each reads a database the business already runs.
A retail stock system
Capital, shown where it is stuck
Holding cost and falling value get plotted against sales rate. A founder sees which shelves are absorbing the money.
A marketing function
Which content actually returned
Spend and pipeline are read together. The dashboard shows which topics produced business, which is a different list from the one that produced traffic.
Where your data stays
A BI layer sees everything a business has, which makes the handling question sharper here than on most pages. It is settled before anything is built.
- It reads, it does not move
- The layer queries your database in place.
- Questions leave, records do not
- The model sees the question and the schema.
- Retention stays off
- Anything reaching a model endpoint is processed and not kept.
What the BI layer is built from
It sits on top of what you already store. Nothing here is a requirement, and the work goes ahead against whatever your data currently lives in.
- Where your data already is
- PostgreSQLRead in place, not copiedMySQLIf that is what you runRedisCaching the heavy queries
- Turning questions into queries
- ClaudePlain English to SQLGPTSummaries and explanationsPythonThe forecasting underneath
- What people look at
- ReactThe dashboard itselfn8nScheduled reports and alertsDockerSame everywhere it runs
What people sayNot our words.
Not our words.
Theirs.
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.
Trustpilot4.4out of 5Excellent29 reviews · checked 19 August 2026Read all of them
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.
Trustpilot
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.
Juan VásquezSep 2025Trustpilot
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.
Global SoftwinMay 2025Trustpilot
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.
WassimApr 2025Trustpilot
I so much love your services and I will continue to patronize your company.
Kolawole Alaba JohnsonApr 2025Trustpilot
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.
Яша ФирузApr 2025Trustpilot
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!
Prem SharmaApr 2025Trustpilot
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.
Fast Fiber NetworksApr 2025Trustpilot
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.
BaderApr 2025Trustpilot
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.
Vannala RajuApr 2025Trustpilot
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.
Ahmed NhariApr 2024Trustpilot
You have been supporting me very quickly in every matter, especially in the last 2 months, and this makes me very happy.
Deniz SeçerJan 2024Trustpilot
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.
Anu JosephJul 2023Trustpilot
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!
Joely CineasJul 2023Trustpilot
It was really great, they are there for me whenever I had a problem or to fix something. Thank you so much Ameer
GomezApr 2023Trustpilot
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.
JohnFeb 2023Trustpilot
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.
Zack GizawDec 202216 of 29 reviews, plus 4 videos
Businesses we have built for
Frequently asked questions
Do we have to move off our current database?
No. The layer is built on top of what you already store, reading it in place. Migrating a database to get better reporting is a large project to solve a problem that does not require it.
Can people who do not write SQL use it?
That is most of the point. Somebody types the question in plain English and the system turns it into a query against your schema. The answer arrives with the query it ran, so anybody who does know SQL can check what it did.
How safe is our business data with a model involved?
The model sees the question and the shape of your database rather than the contents of it. Queries run against your own tables. Endpoints run with retention off.
What are AI BI dashboards actually doing differently?
Two things. Anybody can ask a question without knowing how the data is arranged, and the forecasting weighs several variables rather than extending the last line. Everything else about a dashboard stays as it was.
Is predictive analytics integration possible with our current reporting?
Often yes, and it is worth checking before replacing anything. Where there is an API, the forecasting feeds into your existing tool rather than replacing it. Otherwise the layer runs beside it.
Do smart data visualization tools need clean data first?
Cleaner than most businesses expect, but not perfect. Inconsistent records are the normal starting point, and the first fortnight is where that gets assessed honestly rather than discovered later.
Next stepLet AI do the repetitive
Let AI do the repetitive
half of the job.
Data entry, answering the same tickets, chasing numbers between systems. We automate the parts that repeat. Your team keeps the parts that need judgement.
