ChatGPT helps your people analyze.
Hobasa delivers the capability.
ChatGPT gives your team powerful tools for analysis and automation. Hobasa delivers the surrounding business capability - connected and reconciled data, configured Finance and HR logic, controlled calculations, expert-reviewed findings and ongoing monitoring - implemented and maintained for you.
ChatGPTPowerful intelligence
Reasoning, research, file creation, connected tools and scheduled tasks.
ChatGPT
A custom OpenAI-based solution
Your own operating program
Your team or partner assembles and maintains the surrounding capability.
An implemented capability
A managed data foundation, business checks, evidence and continuing operation.
ChatGPT is a powerful tool.
Hobasa is an operating capability.
ChatGPT is not just a chatbot. It can analyze files, use connected tools, run reusable workflows and scheduled tasks, and OpenAI offers developer components for specialized systems.
What ChatGPT genuinely does
- File analysisIt can analyze the spreadsheets and documents a person brings into the chat.
- Connected toolsIt can use connected tools and reusable workflows, including scheduled tasks.
- Developer componentsOpenAI offers components for building specialized systems on top of the model.
- Already in useMany teams already have access, so adoption is rarely the barrier.
This is not a criticism of the tools.
For a CFO the question is practical: do we want tools that help our people perform analysis, or a managed capability that continuously prepares the data, runs the checks, validates the findings and supports action?
With Hobasa, the rest is part of the engagement.
The rest that still needs an owner
Everything between a working connection and a decision your team can defend.
Hobasa capabilities reflect its published offering and depend on the agreed scope. Examples on this page are illustrative, not measured customer results.
A connection gives access.
Implementation establishes meaning.
Connecting systems gives you the pieces of a puzzle. Implementation establishes which pieces belong together and whether any are missing. ChatGPT can help solve the puzzle - a dependable capability also needs the pieces prepared, checked and updated every time new information arrives.
“Which clients are less profitable because staffing costs changed?”
The answer depends on matching clients, aligning periods, allocating shared staff and knowing which hours were billable.
Hobasa configures those relationships before they are reused across analysis and monitoring.
Different client names
Match billing and timesheet records to the same client.
Different reporting periods
Align payroll costs with the right revenue period.
Shared employees
Apply the agreed project-cost allocation.
Billable overtime
Check the contract before calling an amount leakage.
Late invoices
Separate timing differences from missing billing.
Having the data is not the same as being ready to act on it.
ChatGPT can be connected to QuickBooks, ADP, databases or APIs. That gives it access. Business data is rarely clean: it has to be cleaned, reconciled, transformed, masked for PII and kept secure from the model before an answer is correct, safe and defensible.
With ChatGPT on its own, that work is left to your team - and must be rebuilt and maintained every time a system changes.
What Hobasa changes
Hobasa implements and maintains every step in between, so your team works from one clean, protected and evidenced version of the numbers.
What ChatGPT does not do
that Hobasa does.
ChatGPT is genuinely capable. These are the gaps that remain when the goal is a dependable Finance and HR capability, not a single good answer.
Works beyond uploaded files
Analysis typically runs on the files and connectors a user brings to each conversation.
Works from maintained connections to your systems of record.
Someone who understands your business
No one sits with your team to learn how the business runs, what is already working and what actually matters to you. Deciding that is left to you.
We start on a call with your team, learn how the business runs, and agree what matters before anything is built.
Data cleaned and prepared
Your records stay exactly as they are. Duplicates, missing values, inconsistent formats and unmatched names remain your team's problem to fix before any answer can be trusted.
Records are cleaned, matched and validated before a figure is calculated.
Maintained reconciliation
ChatGPT can compare records you provide. It does not keep a tested, maintained mapping of the same employee, vendor or client across your systems.
Mappings are built, tested and maintained as systems change.
One locked set of definitions
Answers depend on how each person asks. "Margin" or "labor cost" can be calculated differently from one chat to the next.
KPI definitions are agreed once and reused in every answer and check.
Sensitive data protection
No one keeps personal data out of the model for you. Whether sensitive fields reach a third-party AI model depends entirely on how your team configures access and prompts.
PII and sensitive business data never reach third-party AI models.
Continuous compliance monitoring
ChatGPT answers when asked. It does not run ongoing checks, handle exemptions or track who owns an open issue.
Configured checks run continuously, with ownership and follow-up.
Expert-validated findings
There is no Finance or HR specialist reviewing the logic or the result before it reaches your leaders.
Subject-matter experts validate definitions, thresholds and released findings.
Evidence behind every finding
Outputs are not automatically tied back to the source records and queries that produced them.
Each released finding links to its source records and executed query.
A team that implements and runs it
Building, testing and maintaining all of the above falls to your own engineers and analysts.
Hobasa implements, operates and tunes the capability within scope.
The fair comparison has three columns.
Compare the assistant, the complete solution your team could build around it, and the managed capability Hobasa delivers.
| Capability | ChatGPT with files & connected tools | A custom OpenAI-based solution | Hobasa's managed offering |
|---|---|---|---|
| Cross-system access | Connectors and tools retrieve permitted business information. | Your team or partner engineers integrations for your actual systems. | Managed connections across Finance, HR, Payroll and Operations. |
| Cleaning & validation | Can identify inconsistencies and help write transformations. | Build repeatable preparation, freshness checks and exception handling. | Data preparation and validation are part of the operating workflow. |
| Reconciliation | Can reconcile records with suitable data and workflows. | Maintain matching logic, period alignment and unresolved differences. | Reconciled records with differences preserved for investigation. |
| Business model & KPIs | Works with supplied definitions, relationships and instructions. | Design, validate and maintain company-specific metrics and allocations. | A shared Finance + HR model with SME-validated definitions and thresholds. |
| Deep analysis | Flexible conversational analysis and exploration. | Connect reasoning to reliable calculations and business context. | Analysis grounded in configured records, calculations and business definitions. |
| Prediction & benchmarks | Can build and interpret models using tools and supplied data. | Select data, test assumptions and maintain analytical frameworks. | Trend, forecasting and benchmark analysis within scope; external benchmarks require suitable sources. |
| Anomalies & leakage | Can investigate unusual patterns and run designed workflows. | Engineer recurring detection, contextual checks and exception review. | Recurring cross-system checks with evidence and business context. |
| Dashboards & conversation | Strong file, report and visualization capabilities. | Build persistent views over a maintained analytical foundation. | Pre-built business dashboards and plain-language answers over the same model. |
Custom deployments vary by their design and delivery team. ChatGPT capabilities depend on product, tools and configuration. Hobasa coverage depends on the agreed implementation scope.
The model subscription is one line.
The operation is the ownership decision.
A complete build also needs engineering, domain expertise, infrastructure, testing and continuing maintenance. Hobasa brings those responsibilities together in one managed engagement.
Data engineering
Connections, refreshes, transformations and reconciliation
Analytics engineering
Business definitions, relationships and allocations
AI & application engineering
Tool execution, orchestration, constraints and evaluation
Quality & security
Testing, permissions, logs and incident handling
Finance & HR expertise
KPI definitions, exceptions and finding validation
Operational ownership
Priorities, support, change management and follow-up
$500,000+ per year
in salaries and contractors to build and run this operation - and that is before a single finding reaches your team.
The upkeep is the larger part. Definitions change, systems change and rules change, and someone has to keep the answers correct every month after go-live. That is not the business you set out to run. Your people are worth more on the decisions only they can make, while Hobasa carries the build and the upkeep.
Illustrative for a dedicated US operation. See the build-and-operate budget below.
These are capabilities, not six mandatory full-time hires. Existing teams, contractors and fractional specialists can cover them. A narrow use case costs less than a broad dedicated deployment.
An illustrative US build-and-operate budget
Planning assumptions from the supplied brief, not salary benchmarks, a market quotation or a universal minimum.
This represents substantial dedicated ownership. Existing infrastructure, a smaller scope or different delivery arrangements may reduce cost. Hobasa has not been priced in this example, so no savings percentage is claimed.
Compare your actual build budget with a scoped Hobasa proposal.
Build when it is strategic.
Choose managed when the outcome matters more.
Use ChatGPT or build on OpenAI if
You need broad research, writing and everyday productivity, one-off analysis of prepared files, or you have a highly proprietary system and an established engineering team. If surface-level findings are enough for your needs, this approach can serve you well.
Choose Hobasa if
You need deeper Finance and HR visibility across disconnected systems, validated in-depth findings and ongoing monitoring - without establishing a separate engineering operation.
This is not an either-or decision about AI. ChatGPT can remain valuable for research and flexible analysis while Hobasa operates the configured business intelligence capability.
Questions worth asking before you decide.
Can someone build similar capabilities with OpenAI tools?
Yes. Integrations, reliable calculations, reconciliation, review and ongoing maintenance can be engineered with OpenAI tools. AI coding tools can reduce effort, but someone still approves definitions, validates controls and owns the service. The practical decision is whether your team wants to own that program or buy an implemented capability.
Does Hobasa replace our existing software?
Hobasa sits across your existing Finance, HR, Payroll and Operations systems. It does not require replacing your accounting or planning tools simply to investigate cross-system gaps.
What can we customize?
Connections, business definitions, KPI thresholds and monitoring scope are configured for your business. Confirm proprietary-system access, jurisdictions and ongoing changes in the proposal.
What happens after the first successful demo?
Source schemas change, credentials expire, refreshes fail, new entities appear and definitions evolve. With a build, your team owns those costs. With Hobasa, they sit in the managed engagement.
Is Hobasa always cheaper?
No universal cost claim is made. Compare the agreed Hobasa scope and price with your complete internal delivery and operating costs, including staff time and maintenance.
What should a useful demonstration prove?
Use a business question involving mismatched records. Ask how the sources align, how the calculation is produced, what evidence supports the finding and who owns follow-up. Agree access and scope before using your own records.
Buy the capability.
Not a new engineering project.
See how Hobasa connects the records, validates the business logic and turns a cross-system issue into a finding your team can act on.
Comparison based on the supplied brief and published product positioning. Check current capabilities and terms with OpenAI and discuss Hobasa's proposed scope with our team. No independent performance or cost advantage is claimed.
