Why Hobasa?
Because the hard work is done for you.
Hobasa reads across the finance, payroll, scheduling and HR systems you already run, including the closed and regional platforms most tools cannot connect to, and surfaces the gaps between them before they cost you. It has dashboards and KPIs - but unlike a BI tool, the entire harness behind them is built, validated and run for you.
The short version of how Hobasa works.
Connect
We connect to the finance, HR, payroll and scheduling systems you already run, including closed and regional platforms most tools cannot reach.
Reconcile
Data from systems that do not talk is cleaned, mapped and aligned into one canonical model, kept live.
Detect
Continuous, AI-assisted review flags exceptions, anomalies and leakage you did not know to look for.
Act
Findings are validated by people and reach you as alerts and recommendations, ready to act on.
Five differences in how Hobasa works - and why each matters to you.
Built for the gaps between systems
Hobasa reconciles payroll, general ledger and HR data, and keeps both numbers where they disagree.
The costliest problems - unbilled overtime, payroll that does not match the ledger, cost centers that do not add up - are invisible inside any single system.
One Finance + HR model
A governed model across vendors and subsidiaries, with expert-verified joins.
Cross-domain questions - workforce cost vs margin, attrition in revenue-carrying teams - get one consistent answer instead of three spreadsheets.
Rules with consequences
When a rule, law or policy changes, Hobasa re-evaluates your data and quantifies the exposure.
You learn what a change costs, who is affected and since when, before it becomes a penalty or an audit finding.
Grounded and SME-validated
Figures come from executed queries with source records, and the KPIs and thresholds behind them are validated by finance and HR subject-matter experts from the start - not checked by someone afterwards.
Numbers you can defend in front of a board, lender or auditor, with the evidence attached.
Delivered and configured per client
A named team connects, models, runs and tunes it - your KPIs, rules and terminology, not a template.
Value in weeks without joining your data team's backlog, and a system that stays specific to your business as it changes.
It looks like a BI tool. It is not one.
Hobasa has data visualization, KPIs and charts. But in an ordinary tool like Power BI or Tableau, the actual work on the data - pipelines, modeling, reconciliation, maintenance - is done by your engineering team or a consultant you hire. In Hobasa, that entire harness is taken care of.
A traditional BI tool
- You get a canvas. Charts, dashboards and KPIs are yours to build.
- The actual data work - pipelines, modeling, reconciliation, maintenance - falls to your engineering team or a consultant you hire.
- Connectors stop where their catalog stops. Deep vertical and regional systems are often out of reach.
- The tool watches nothing. Someone has to know what to look at.
Hobasa
Done for you- You get the outcome. Dashboards and KPIs exist, but the entire harness behind them is built and run for you.
- We connect, clean, transform and map the data between your systems, and keep it aligned as things change.
- We implement against the deep vertical software your industry actually runs on.
- It watches continuously and surfaces what you would have missed.
It is more than connecting Claude to your systems.
Wiring an AI model on top of raw data and chatting with it is simple to set up - and shallow. It answers the questions you already know how to ask, off data nobody has reconciled.
Hobasa is built for something harder: digging out the deep, buried problems that never sit on the surface of a dashboard or a chat window - the margin leaking between three systems, the compliance gap hiding in a schedule, the anomaly that only shows up when the data is cleaned and aligned first.
See how we compare to chatbots and RAG appsAnswers only what you ask. Reflects whatever the data happens to say that day, reconciled or not.
Runs continuously on cleaned, reconciled data, finds what you did not think to ask, and a person validates every finding before it reaches you.
Instant answers and reviewed findings.
Ask Hobasa a question in plain English and get an answer in seconds. Or let it find what nobody thought to ask - and release it only after a person has checked it.
Instant answers
You ask. Hobasa answers.
- How it starts
- You ask in plain English - no query to write, no report to build
- Speed
- Seconds, against the same reconciled data
- Best for
- Exploration and day-to-day questions
- Expert review
- Chat answers are not individually reviewed - figures are computed, sourced and validated, not released as findings
Reviewed findings
Hobasa finds. Experts release.
- How it starts
- Hobasa surfaces anomalies, leakage and policy breaches on its own
- Speed
- Continuous monitoring, released after review
- Best for
- Board, lender, investor and compliance decisions
- Expert review
- Reviewed by Hobasa experts before anything reaches you
How Hobasa grounds its numbers.
A figure that goes to a board, a lender or an auditor has to hold up. Every number passes through four steps before it reaches you.
Computed
Every figure is computed by a query against your reconciled data, and carries the query and its source records with it.
Validated
Data passes structural, logical and business-rule checks, plus cross-checks designed to catch misleading patterns.
Constrained
The AI is instructed to use only verified tool results, and forecasts are checked against published outputs.
Reviewed
Findings are reviewed by Hobasa experts before release. You never receive a raw model output.
Built on subject-matter expertise, not templates.
Every KPI and analysis in Hobasa is created and validated by finance and HR domain experts - people who have done the work - then customized to your business. That is what makes the output relevant instead of generic.
Margin erosion by job and client
Costed at the level a finance leader would ask for - not a generic revenue chart.
Scheduled vs worked hours drift
Overtime and coverage gaps flagged against the rules your business actually runs on.
Missing certifications, expiring documents
Checked continuously against regulatory requirements for your industry.
And because they are validated by experts but configured per business, the same platform fits a hospice, a staffing firm or a manufacturer - your rules, not someone else's defaults.
We implement it. You carry none of the burden.
Implementation is where most tools hand you a problem. Ours is included: we connect, clean, reconcile and model your finance and HR data - read-only - with requirements gathering, analysis, data mapping and validation, all our work, end to end. No re-platforming, no warehouse project, no data-team backlog. You get the benefits of AI transformation without the cost of transformation.
That includes connecting the deep vertical software your industry runs on - systems most general-purpose tools either cannot connect to or reach only in a limited way.
Requirements gathering
We sit with you and map what your business actually needs to see, across finance, HR and operations.
Analysis
Our domain experts analyze your systems and data landscape, including the closed and regional platforms.
Mapping and validation
Data between your systems is transformed, mapped and validated correctly. Sensitive information is identified and protected.
Live and monitored
Hobasa goes live in weeks, and we keep running, validating and supporting it from there.
Why plug-and-play tools do not deliver full value.
Plug-and-play tools promise value in minutes - sign up, connect a system, pick from a template library. What they actually hand you is a connection. The hard part, making the data correct and useful for your business, is exactly the part they skip.
Your stack is not the demo. Closed and regional platforms, industry-specific payroll rules, scheduling conventions that exist in one company only - a generic connector maps to generic fields and stops there. Numbers disagree across systems, thresholds are someone else's defaults, and the deep, buried problems that actually cost you money stay buried.
That is why Hobasa is implementation-based. We do the unglamorous work - requirements, cleaning, mapping, validation - so what reaches you is correct, relevant and trusted. Plug-and-play gets you a dashboard quickly. Implementation gets you the truth.
- Connects fields, not your business
- Numbers appear - reconciled or not
- KPIs and thresholds are someone else's defaults
- Stops where the connector catalog stops
- Requirements mapped to your systems, not a template
- Data cleaned, reconciled and validated before you see it
- Rules and thresholds configured by finance and HR experts
- Works against the deep, closed and regional software you run
A BI seat buys you charts. Hobasa buys you decisions.
A BI licence pays for the visualisation and query layer - the last stretch of a much longer journey. Connecting your systems, cleaning and reconciling them, building the Finance + HR model, encoding rules and reviewing findings still has to be paid for: data engineers, domain experts, an integrator, and months before anyone trusts the numbers. Hobasa includes those stages in the subscription. The right comparison is Hobasa against the programme, not against a seat.
Leakage recovered
Unbilled work, duplicate payments and margin erosion found and costed.
Exposure avoided
Compliance and rule breaches caught early, before they become penalties.
Hours released
Analyst time spent reconciling spreadsheets given back to the business.
Decisions made earlier
Findings reach you while there is still time to act on them.
These levers are measured on your own data during the first engagement, with written acceptance criteria - so value is tested before you expand.
A finding is only useful when someone acts on it.
Every approved finding leaves the review with an owner, a due date and the KPI it should move - and it is followed until the value is realised or the item is closed.
Finding approved
Released with evidence, the consequence and a recommended action.
Owner and due date
Agreed with you in the review cadence and recorded against the finding.
Tracked to closure
Open items are monitored between reviews and raised again if they persist.
KPI re-measured
The affected KPI is watched against its threshold, so improvement is visible.
Value recorded
Recovered revenue, avoided exposure or cost saved is agreed and logged for the value review.
Quality is measured on your data, not claimed in a brochure.
Hobasa does not publish generic accuracy figures. Results depend on each client's data, so we measure them on yours and report them back to you.
Reconciliation accuracy
Share of records matched across systems, and any unexplained residual against source control totals - checked at go-live and every refresh.
Forecast performance
Backtested against simple baselines on rolling windows. A model that does not beat the live one is not released.
Alert precision
Share of alerts reviewers confirm as genuine, and how much noise was suppressed - reported each review cycle.
Data validation
Blockers and warnings from the validation layers, per dataset, on every ingestion.
Answer grounding
Share of figures traceable to an executed query, plus the reviewer correction rate, tracked ongoing.
Reported for your data
Every measure above is reported against your own systems and realised actuals - not a vendor-wide average.
Industry-first agentic compliance monitoring.
Something almost no BI tool, chatbot or DIY setup offers: Hobasa actively runs compliance checks across your HR and finance data, continuously - not as a report you request. It verifies your business is meeting its obligations and flags issues before they become problems.
Explore compliance monitoring- Certifications, licenses and required documents tracked to expiry
- Payroll, overtime and scheduling checked against the rules
- Issues surfaced with context, before they become problems
Your PII never reaches an AI model.
Most tools hand your data - names, identifiers, anything the model might touch - straight to an LLM. Hobasa does not. It serves as a protective layer between frontier AI models and your data.
During mapping, our teams identify personally identifiable and other critical information and make sure it is never shared with any AI model. Analysis runs without exposing it.
Read about security at Hobasa
Independently certified. Access control and governance across everything.Built for you, customizable by you.
Hobasa is implemented for your business, so it is customizable for your business. Adjust the KPIs, thresholds and rules as you grow - and if you need more, we are always there to extend it with you.
Comparing a specific AI tool?
Detailed, fair breakdowns of how Hobasa compares with the AI tools your team may already be evaluating.
Hobasa vs Claude
A world-class model versus an implemented Finance and HR capability.
Read the comparison
Hobasa vs ChatGPT
Powerful analysis tools versus a managed operating capability.
Read the comparison
Hobasa vs Gemini
AI across your work versus a focused intelligence operation.
Read the comparison
Hobasa vs Claude + Power BI
Connected BI and AI tools versus a complete managed capability.
Read the comparison