HOBASA VS CHATGPT
H
Hobasa
Runs the operation
vs
C
OpenAI
ChatGPT

The most popular assistant, or the one that does the work for you.

ChatGPT is a superb general assistant, and it can now take financial actions through Intuit's apps. Hobasa reaches the systems it can't, cleans and reconciles your data, and puts people behind the findings.

The honest take

We are not trying to replace ChatGPT.

ChatGPT is the most widely adopted assistant in the world, with a huge ecosystem of custom GPTs, connectors and, through its Intuit integration, the ability to take trusted financial actions inside a chat. For general work and self-serve tasks, it is hard to beat.

Hobasa is not competing for that job. It is the managed layer that connects your real systems, including the ones without clean APIs, cleans the data, runs domain-trained agents, and validates what they find before it reaches you. You are not prompting a tool. You are getting an outcome.

C
Where ChatGPT shines
  • The most widely adopted AI assistant, with the largest ecosystem
  • Custom GPTs and connectors across a huge range of tools
  • Financial actions inside a chat via the Intuit integration
  • Excellent self-serve productivity across many tasks
H
Where Hobasa is different
  • Reach beyond popular apps into closed and niche industry systems
  • Run for you, not prompted by you: no GPT-building or pipelines to maintain
  • People confirm findings before they become a decision
  • Rules validated by domain experts, not a general model doing its best
Side by side

Hobasa vs ChatGPT, dimension by dimension.

CChatGPT
Hobasa
What it is
The most widely used AI assistant, plus GPTs and connectors
A managed intelligence service on top of your systems
Who operates it
You. Self-serve, prompt-driven
We do. Run and supported for you
Systems it connects
Popular apps and its own ecosystem; financial actions via Intuit
Those, plus closed, regional and industry-specific systems
Your data
It reads what you connect or paste
We clean and reconcile into one canonical model
Who checks the findings
You do
Our team validates before it reaches you
Industry depth
Generic; custom GPTs you build
Pre-built, SME-validated rules for your industry
Support
Self-serve, docs, community
Real people who set it up and stand behind it
Ecosystem
Strong, broad, its own platform
Independent. Sits on top of whatever you run
Security
Strong enterprise options
Strong. ISO 27001; SOC 2 Type II in active audit
Under the hood

A closer look at where the two really differ.

Assistant vs. operation

ChatGPT is a self-serve assistant with an enormous ecosystem — custom GPTs, connectors, and, through Intuit, real financial actions inside a chat. Hobasa is not a chat. It is a managed operation with connectors, cleaning, agents and analysts run by our team, delivering outcomes into your inbox and dashboards.

Ecosystem reach vs. system reach

ChatGPT's ecosystem is broad across mainstream SaaS. Hobasa's reach is narrower on mainstream apps but far deeper on the systems most operators actually live in: industry-specific platforms, regional payroll, PMS/EHR/ERP add-ons, and legacy databases without clean APIs.

Custom GPTs vs. domain-trained agents

Custom GPTs and connectors are powerful, but you build, prompt and maintain them. Hobasa ships domain-trained agents with rulebooks written and validated by SMEs for your industry — you don't prompt-engineer them, we operate them.

Who owns the last mile

With ChatGPT you own the last mile: prompting, reviewing outputs, deciding what to trust. With Hobasa, our analysts validate findings before they reach you. What lands in your inbox is checked, prioritised and explained.

Change management

APIs change. Reports get renamed. Someone adds a new revenue stream. In a self-serve setup, that quietly breaks your GPTs and workflows. In Hobasa, the connectors, mappings and rules are monitored and maintained by us — drift is our problem, not yours.

Security and accountability

ChatGPT offers strong enterprise controls. Hobasa adds named accountability: ISO 27001, SOC 2 Type II in active audit, tenant isolation, and a specific team responsible for what happens with your data — not just a policy document.

Real scenarios

What each is actually best at.

C
When ChatGPT wins
  • Broad self-serve productivity
    Drafting, coding, research, brainstorming, summarising — ChatGPT is the assistant most teams already use and one of the most capable.
  • Owner-run finance in mainstream tools
    With the Intuit integration, an owner can take real financial actions in a chat. If your stack is QuickBooks-centred and you're happy driving it yourself, this is a strong fit.
  • Building custom GPTs for internal workflows
    If you have someone comfortable building and maintaining GPTs, ChatGPT's ecosystem is unmatched in breadth.
H
When Hobasa wins
  • Multi-system operators
    You run four to twelve systems, some closed or industry-specific. You need one reconciled view and someone accountable for keeping it accurate.
  • Data that isn't ready for AI
    Your exports don't reconcile, your GL is inconsistent, your CRM is half-populated. Hobasa cleans and normalises as part of the service.
  • Regulated or high-stakes decisions
    Hospice, hotels, trucking, construction, CPA — environments where a wrong AI answer has real consequences. A validated finding beats a confident chat reply.
  • You don't want a new tool to run
    Your team is already stretched. You want intelligence delivered, not another platform to learn, prompt and maintain.
When to use which

ChatGPT is a great assistant. Hobasa is a different job.

Choose ChatGPT if you want the most flexible, widely supported self-serve assistant, and your needs sit in mainstream tools. Choose Hobasa if you need the closed and industry systems connected, the data cleaned and reconciled, the findings validated, and the whole thing run for you. ChatGPT is the assistant everyone has. Hobasa is the team that connects your real systems and runs the intelligence for you.

Pick ChatGPT if
  • You want the broadest self-serve AI assistant available
  • Your workflows sit in mainstream tools with open APIs
  • You're happy building and maintaining GPTs yourself
  • Owner-driven, chat-based actions fit your workflow
Pick Hobasa if
  • You run closed, regional or industry-specific systems
  • Your data must be cleaned and reconciled to be useful
  • You want validated, ready-to-act findings — not raw output
  • You want a team accountable for the intelligence layer
Frequently asked

Questions we hear about ChatGPT and Hobasa.

Doesn't ChatGPT already do this with custom GPTs?

For mainstream tools with good APIs, largely yes — if you're willing to build, prompt and maintain them. Hobasa's difference is what sits around the model: connectors into systems without clean APIs, a cleaning pipeline for messy data, domain rulebooks, and human validation.

Can we use ChatGPT and Hobasa together?

Yes. Most customers keep ChatGPT for general assistant work and use Hobasa for the connected, validated intelligence layer over their real systems.

Is Hobasa built on OpenAI models?

Hobasa is model-agnostic. We pick the best-fit model per task and change it when better options appear. The value is the operation — connectors, cleaning, agents, validation — not any single model.

Do you train on our data?

No. Data is tenant-isolated and not used to train foundation models. Access is logged and scoped to the analysts on your account.

See what Hobasa surfaces that ChatGPT can't.