ChatGPT or Claude for your business, or a managed AI process? The practical difference

BOTrento Team30 September 2026 · Updated 12 October 20266 min read

Self-service vs. a managed process: what's what

Self-service means a person opens a chat, pastes in some text, asks a question and copies the result wherever it's needed. The tool is flexible, instantly available and useful for a wide range of tasks, from rewording an email to summarising a document.

A managed AI process, by contrast, is designed for one specific recurring job, such as handling enquiries and preparing proposals. It is connected to your mailbox and records, follows agreed rules, stores results where the team can see them and keeps track of next steps. People don't start with an empty chat; they approve prepared drafts.

Both approaches can use the same language models. What differs is everything built around the model.

When a self-service chat is enough

Self-service is a sensible choice if most of the following apply:

• one person or a few people use AI for their own work,
• tasks are varied and rarely repeat in the same form,
• the person always checks and uses the result themselves,
• no sensitive client data is involved and nothing goes out to clients unchecked,
• you don't need results to flow automatically into your records.

In these cases a self-service chat is an inexpensive, effective assistant. It's still wise to have clear company rules on what people may paste into it.

Where self-service falls short in sales

A sales process has different needs from an individual with a chat window. Typical problems with self-service in sales:

• Work only starts when someone remembers it. An enquiry nobody opens won't be handled, however good the model is.
• Results stay in a personal chat. A draft reply or enquiry summary never reaches your records unless someone copies it by hand.
• Quality depends on who is asking. Every salesperson writes a different prompt, so clients get inconsistent answers.
• Nobody tracks the follow-up. The chat doesn't know the proposal went out a week ago and the client never replied.
• Client data gets copied around. People paste emails and attachments into tools where the company has no overview of where and how the data is processed.

Tracking next steps and keeping records are exactly where enquiries most often get lost, as described in our guide to handling enquiries without losing any.

Example: the same enquiry, handled twice

Self-service: An enquiry for producing a corporate conference lands in the shared inbox. A salesperson opens it the next day, pastes the text into a chat and asks for a draft reply. They tweak it and send it, but don't log the enquiry because they're rushing to a meeting. A week later, nobody remembers that the client never answered.

Managed process: The same enquiry is recognised on arrival, logged and assigned to a salesperson. The next morning they find a prepared draft reply with clarifying questions in their overview, check it and approve it. The process records the next-step date and, if the client doesn't reply, prepares a reminder for approval.

The model can be identical in both cases. The outcome differs because in the second case nobody has to remember anything.

Side-by-side comparison

The table doesn't say self-service is bad. It says that a recurring sales process needs things that have to be built and maintained around the model.

Data and costs: what to ask

With either approach, it pays to know where the data flows and who pays for the computation. For a managed process, ask about three things in particular:

1. Where the data is stored. BOTrento stores data on servers in Germany (EU).
2. Who processes text for the model. The language model only processes the text needed for the task, via the API of the provider you choose. Your own server in the EU calling an external AI API is not a closed computation, so you should know which provider you use. Commercial API providers do not use the data for training.
3. How AI is paid for. With BOTrento you add your own API keys, pay the model provider directly with no mark-up, and the plan covers the service: setup, integration, oversight and reporting. The guide to using your own API keys explains the details.

How to decide: five questions

Answer these honestly:

1. Does the same sales task recur every week (enquiries, proposals, follow-ups)?
2. Have we lost an enquiry or proposal because nobody was keeping track of it?
3. Do we need the results of AI work to be visible in our records for the whole team?
4. Does it bother us that the quality of replies depends on who happens to be writing?
5. Do we want visibility over where client data goes and what AI costs?

If most answers are yes, a managed process makes sense. It's best to start with one process and clear process metrics, such as the time from enquiry to proposal. How to speed up proposals specifically is covered in our article on faster sales proposals.

BOTrento Chief of Staff starts with a 14-day free trial, with no payment card and no API key of your own. You'll find the plans on the pricing page and can walk through the flow in the process demo.