Not another chatbot.
Not another RAG app.
A chatbot answers questions. A RAG app searches your documents. Hobasa connects to your live systems, cleans the data, and runs AI-assisted, human-reviewed analysis for you.
Most "AI for your data" is one of two things.
Most tools calling themselves AI for your business are either a chatbot or a RAG app.
A chatbot is a conversation. You ask, it answers from what it was trained on plus whatever you paste in.
A RAG app is search with a language model on top. You load in a set of documents, and it answers questions grounded in those files.
Both are useful for what they do. Neither one connects to your real systems, reconciles the data across them, or does the work for you. That is the gap Hobasa was built for.
Three different things, side by side.
Chatbots and RAG apps are useful for what they do. Hobasa is a different category.
What you actually get with Hobasa.
It plugs into your systems, not a folder of documents.
A RAG app only knows what you upload. Hobasa connects to the systems your business already runs on and keeps that connection live, so the intelligence reflects reality, not last month's export.
It cleans and reconciles, so the intelligence runs on one reliable truth.
The hard part is not the AI, it is the messy, mismatched data underneath it. Hobasa normalizes and aligns data across your tools and files into one canonical model, so what you see holds together.
It is proactive. It finds what you would miss.
A chatbot waits for a question. Hobasa runs continuous, AI-assisted review of your data, checked by a person before anything reaches you, to flag exceptions, anomalies and leakage before you think to look.
It is run for you, not a tool you have to operate.
No prompts to engineer, no pipelines to maintain. We scope it, connect it, clean the data, validate the findings and support you. You get the outcome. We carry the operational load.
It is built for your business, not a generic assistant.
Hobasa is configured to your industry and your data, with rules validated by people who know the domain, so the output is relevant, not generic.
Enterprise security and governance, from day one.
Built for sensitive data, with access control and governance across everything. ISO 27001 – Certified. SOC 2 Type II Certified.
"We can connect to your systems too." Here is the difference.
A connector lands raw tables. Someone still has to map fields, resolve duplicate people and cost centres, decide which headcount definition is right, and reconcile payroll to the general ledger. Hobasa does that work - and keeps both numbers where systems disagree. BI gives you a canvas to build dashboards; Hobasa gives you monitored, rule-aware, expert-reviewed findings with an owner and a KPI.
BI platforms
Tableau, Power BI, Looker and ThoughtSpot visualise data you have already modelled. Hobasa connects, reconciles and models Finance + HR data, then monitors and reviews it.
Data platforms
Databricks Genie, Snowflake Cortex and Amazon Quick put strong AI on your lakehouse, over semantic models your team builds. Hobasa supplies the Finance + HR domain: the model, reconciliation, compliance monitoring and review.
FP&A tools
Anaplan, Pigment and Adaptive manage plans. Hobasa monitors actuals across Finance and HR and explains what changed and why - and works alongside planning tools.
People analytics
Visier and Workday offer deep HR analytics. Hobasa joins HR data to the general ledger, margin and cash, across mixed vendors.
LLM assistants
ChatGPT, Claude and Copilot reason well, session by session. Hobasa keeps a persistent, governed model of your business, monitors it, and reviews findings before release.
AI-native startups
Faster analysts, usually on a warehouse, or finance-only close automation. Hobasa covers Finance and HR end to end, as a managed service.
Others help you analyse data you have already prepared. Hobasa prepares, reconciles and governs it, then tells you what is wrong, what it costs and what to do.
End to end, not just dashboards and chat.
Most products compete on the last stages, where people see charts and chat. The value - and the cost - sits in the stages before them.
| Stage | Hobasa | BI platforms | Data platforms | FP&A tools | People analytics | LLM assistants | AI-native startups |
|---|---|---|---|---|---|---|---|
| Connect | |||||||
| Clean & validate | |||||||
| Reconcile | |||||||
| Ontology & metadata | |||||||
| Store securely | |||||||
| Predict | |||||||
| Describe & diagnose | |||||||
| Agents & conversation | |||||||
| Rules to consequences | |||||||
| Expert approval | |||||||
| Publish | |||||||
| Act, run & tune |
Summary of public product documentation reviewed in September 2026, against 25 requirements selected by Hobasa; not a measure of overall product quality.
When Hobasa is not the right fit.
We would rather tell you up front. Hobasa does not replace your BI or planning tools - it does the work between your systems that those tools leave to you.
Choose a BI or FP&A tool if
- You only need free-form, self-serve charts on a data warehouse you already model.
- You need driver-based budgeting and planning - that is FP&A software's job.
Choose Hobasa if
- The problems you care about sit between finance, payroll, HR and compliance systems.
- You want findings reviewed by experts, with a cause, a consequence and an owner.
- You want the data work done for you instead of staffing it internally.
This is not a knock on chatbots or RAG.
Chatbots are great for answering questions. RAG apps are great for searching a body of documents. If that is all you need, use them.
Hobasa is not trying to be a better chatbot. It is a different category: the connected, cleaned, run-for-you intelligence layer that sits on top of your systems. Use it when the answer lives between your systems and someone needs to find it, prove it and act on it.
See the full picture on the Why Hobasa pageA chatbot answers. A RAG app retrieves. Hobasa runs the operation.
Connected, clean, intelligent, and run for you, on top of the systems you already use.