AI by industry · Education and VET

Coordinating placements should not be a job.

A good part of the coordinator’s week goes on forms, emails and mislaid agreements. We come in through the most mechanical process in the college and turn it into a flow with matching, signature and tracking.

Where it hurts

Artisanal coordination.

01

A working day lost every week.

Cross-referencing candidates and companies by hand, chasing signatures, forwarding documents.

02

Matches by intuition.

With no systematic criteria, the pairing comes out sub-optimal and the student pays for it.

03

An annual report with no data.

At year end you have to rebuild what happened from emails and folders.

Where we come in

Four ways in.

Three roles (college, student, company) and one single process. We start with the part that eats most of the coordinator’s hours.

  1. 01

    Student–company matching

    Pairing by competency, real availability and location. Explainable: the coordinator sees why.

    See service
  2. 02

    Agreements with digital signature

    Agreement generation and integrated qualified signature. Zero PDFs by email.

    See service
  3. 03

    Live placement tracking

    The status of every student, tutor and company on one panel. Alerts when something gets stuck.

    See service
  4. 04

    Data for the annual report and inspection

    Reports generated from the process itself. The traceability stays inside, it is not rebuilt.

    See service
What keeps running
Real case · In production

Not a promise: it is running.

  1. Match Prácticas — screenshot
    004

    Match Prácticas

    SaaS · Education · Matching

    A platform for education providers that automates student–company matching, removes the paperwork and gives complete traceability of the placement process.

Services involved

What it is built with.

Related reading

Before you call us, read this.

  1. Guide · 9 min

    How to choose which processes to automate in a company (without wasting money)

    Automating is not the goal: it is the tool. The expensive mistake is not automating badly, it is automating the wrong thing. This is the no-hype guide to deciding which processes to automate first, and which to leave alone.

  2. Concept · 8 min

    RPA vs AI agents: the differences and when to use each

    RPA follows the rules you gave it; an AI agent decides how to meet an objective within a bounded perimeter. They are not rivals: they are different layers. We explain when each is enough and how much they cost to maintain.

More in AI by industry
First step, no strings attached

Not sure where to start? Measure your organisation’s AI maturity for free in 3 minutes, or book 30 minutes of direct diagnostic.

Let's start

Let's talk about your operation.

Tell us what costs more than it should. We come back with a concrete plan, realistic timelines and a clear yes or no.

contacto@plantekia.com