Insight / B2C and enterprise
B2C and enterprise AI apps make different promises.
The same AI model can power a paid product for customers or a workflow for your own staff. The two differ because the relationship, the way people reach them, the controls, and the record of work all differ.
- Works in
- ChatGPT
- Claude
- Gemini
- Coding agents
Direct answer
Choose a B2C product when you are packaging expertise for customers. Choose a private enterprise build when signed-in employees need controlled access to internal knowledge and to actions inside your product
B2C01
A product for customers has to be easy to reach and easy to try.
B2C work starts with a person outside your company: a customer, a creator's audience, a learner, or a buyer. The product has to make the agent easy to reach. It has to explain what the agent is worth. It has to handle accounts and usage, and, when it applies, the commercial side too.
Prostir Build is Managed Code's B2C route. Its public product describes turning knowledge into an AI agent that can run in ChatGPT, Claude, a website, or a dashboard. Behind the link sit customer accounts, payments, and usage controls.
Prostir Build · aboutEnterprise02
An internal app starts from who is allowed to do what.
Enterprise work starts with an employee or an approved partner inside a company. The design has to name who is signed in, which company and role apply, which private sources that person can read, and which actions need a confirmation or a separate approval.
That often points to a dedicated build, wired into the systems the company already runs and kept under the company's own control.
Model Context Protocol · authorizationWhat stays the same03
Both need a narrow job and honest feedback.
Neither one works well when an agent is asked to “do anything.” You still need a specific user, a limited request, named data and named actions, failures a person can understand, and a way to check the finished result.
The difference is not whether the work uses AI. It is the promise the product makes to the people who depend on it.
The decision04
Choose the relationship before the technology.
Ask where the user comes from. Ask who owns sign-in. Ask whether access is open to the public or limited to one company. Ask where the official record has to live. Those answers usually make it clear whether a B2C platform, a private enterprise build, or a staged mix of the two makes sense.
That keeps you from buying an enterprise setup for a launch aimed at customers. It also keeps you from shipping a public-style agent when internal control is the real requirement.
AI / Second opinion05
Not sure where to start? Ask an AI.
Paste this question into ChatGPT, Claude, or Gemini. It walks you through finding the one task your customers would most want to finish by chatting, instead of clicking through your app.
“I run a software product. Help me identify one high-value workflow my customers could finish inside ChatGPT instead of switching between tabs. Ask me about the product, the user, the action, the data it needs, permissions, and the safest small first release.”
The prompt is copied as a backup. Some AI chats may ask you to paste it after sign-in.
FAQ06
Questions, answered.
Is this just an MCP server?
No. The server is one piece. We do the whole job: we pick the customer task, set who can do what, handle the quirks of each AI chat, make the actions run fast, add monitoring, test it, and ship it.
Do we have to rebuild our product?
Almost never. Our layer sits in front of what your product already does. We start with one small workflow and grow from what works.
Will it work in ChatGPT, Claude, and Gemini?
The same build can serve all three. Each one has its own sign-in, look, approval step, and publishing rules, so we set up and test each one separately.
How do you keep it safe?
Your product decides what is allowed, and we keep that in charge. Every action is spelled out, every input is checked, and the customer sees an approval step before anything happens. Our layer sits beside your product, not inside it.
Where does it run? Does it touch our code?
It runs as a separate service in front of your product. It never goes into your code, and you still own your data.
What does it cost, and how fast?
A first workflow starts at €3,200 and goes live in about 7 days.
Contact us07
Start with one customer task
Send us your product, who uses it, and the action you have in mind. We will tell you the smallest version worth building, and whether it is a €3,200 first workflow or something that needs a closer look first.