When a dedicated platform is needed

Many AI systems work perfectly well integrated into the systems a company already uses: the agent receives, processes and records without anyone needing a new screen. But there are situations where the system needs its own platform: when people must review, correct or approve what the AI does, when several profiles work on the same data or when clients need access to their own portal.

In those cases, the platform is what makes the AI operational: a management dashboard where the team supervises cases, a portal where clients check the status of their file or a mobile app for staff working away from the office.

Explore the idea

Does your AI system need its own platform?

Choose how the system will be used and see which kind of platform fits.

  1. 01Who is involved
  2. 02Conditions of use
  3. 03Suitable platform
Integrated into your systems

No new platform

The AI receives, processes and records in the existing systems. Nobody needs to review each case on a dedicated screen.

Monitor with alerts and metrics instead of a new interface.

Team that supervises

Web management dashboard

Several people review, correct and approve what the AI proposes. A web platform centralises cases and their history.

Define what the AI decides and what a person confirms.

Field work

Mobile application

Staff digitise documents or record data away from the office, sometimes without a stable connection.

Design synchronisation and conflict resolution first.

These are general criteria. Your case may have details that change the answer.

Start with where and how it will be used

The technical decision depends mainly on the conditions of use: which profiles have access, from which devices, with what connectivity and how much information they handle. It also matters who administers the company’s equipment and which security restrictions apply.

In most cases a web platform is the most efficient option: no installation, the whole team sees the same data in real time and it integrates easily with AI services. It is the first option I consider for management dashboards and client portals.

When a native application is needed

A mobile or desktop application makes sense when the work depends on device features: the camera to digitise documents in the field, connecting peripherals or heavy use of local files. In that case you need to define which systems and versions it will be tested on, how it is distributed and how updates reach each user.

If part of the team works without a stable connection, synchronisation becomes the project’s most demanding requirement: the application must show what is pending synchronisation and resolve conflicts when two people change the same data.

Validate before building everything

When there are doubts about the conditions of use, I run a focused test with the real devices and users before tackling full development. It allows deciding with data and quoting for what is actually needed.

Either way, the platform and the AI services are designed together: what the user sees, what the AI decides and where a person steps in are part of the same design.

If your process needs more than an agent or an automation, here is how I work, or book a meeting and we’ll look at your case.