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AI agents

The agents that run the loop

Each agent owns one part of the work: finding the gap, teaching against it, verifying what people can do and measuring again. Your team decides what each one can see, what it may do and where a person approves.

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  1. 01 · Detect

    • Skills & Upskilling agent
    • Learner Intelligence agent
  2. 02 · Teach

    • Content Generation agent
    • Pedagogical agent
    • Localisation agent
  3. 03 · Verify

    • Clara
  4. 04 · Measure again

    • Administrative agent
    • Learner Intelligence agent

Every agent works inside limits your team sets.

Agents, step by step

01

Detect the gap

Find what each person can do, and what their role now needs.

Explore Detect →
  • Skills & Upskilling agent

    Builds skills profiles from role descriptions and CVs, and flags the skills a role is starting to need.

    A manager approves new and claimed skills.

  • Learner Intelligence agent

    Keeps each person's profile current: progress, performance and context such as role, site and region.

    You choose which systems it reads.

02

Teach against it

Instruction built on each person's own gap.

Explore Teach →
  • Content Generation agent

    Builds programmes and personal learning plans on demand, from your own sources.

    L&D approves before anything is published.

  • Pedagogical agent

    Chooses the most effective teaching approach for each person's profile.

    Works within the programme L&D approved.

  • Localisation agent

    Translates and adapts content into the languages your people work in.

    You choose the languages and the reviewers.

03

Verify what people can do

Verified, not clicked through.

Explore Verify →
  • Clara

    Coaches in real time, then checks what was actually understood and applied.

    Your experts approve the question pool.

04

Measure again

Verified capability goes back into the profile.

Explore Measure again →
  • Administrative agent

    Surfaces anomalies, suggests corrective actions and automates enrolments, certification reminders and reporting.

    You choose what it may automate.

Agent Builder

Your processes, your agents.

Describe what you need in plain language and get an agent that does it, connected to your systems. For example, an agent that retrains the people affected whenever an SOP is revised, or one that prepares a qualification report per site before each audit.

Your team doesn't wait on a vendor's roadmap: the agents follow your processes, not the other way round.

Agent BuilderDraft

Retrain after an SOP revision

Described in plain languageWhen an SOP is revised, find the people it affects, assign the updated training and ask their manager to confirm.
Can see
SOP library · training records · org chart
May do
Enrol people · send reminders
Hands over to a person
Before anyone is marked qualified

Every action is loggedActivate

Governed by design

  • You set the limits

    You define what each agent can see, what it may do and where a person must approve.

  • Everything is logged

    Agent actions are recorded in audit logs, with alerts on unusual behaviour.

  • Your models

    Agents can run on the AI models you already license or host.

Questions about Opigno's AI agents

What do Opigno's AI agents do?

Opigno's AI agents run the skills loop: they find each person's skills gap, teach against it, verify what was actually learned and measure again. Each agent owns one part of the work, such as building skills profiles, generating training or checking understanding, and works inside limits your team sets.

Which AI agents does Opigno include?

Opigno includes the Skills & Upskilling agent, the Learner Intelligence agent, the Content Generation agent, the Pedagogical agent, the Localisation agent, the Administrative agent and Clara, the AI coach. They are grouped by step: detect the gap, teach against it, verify what people can do and measure again.

Do Opigno's agents act without human approval?

No. In Opigno, agents propose and people decide. Your team sets what each agent can see, what it may do and where a person must approve, for example before a new skill joins your framework or before generated training reaches learners. Every agent action is recorded in audit logs.

Can we build our own agents in Opigno?

Yes. With Opigno's Agent Builder, your team describes a process in plain language and gets an agent that runs it, connected to your systems. For example, an agent that retrains the people affected whenever an SOP is revised. You set what it can see, what it may do and where it hands over to a person.

How is Opigno different from an AI coach that recommends courses?

Opigno's agents teach against each person's own gap instead of recommending content from a job title or learning history. They detect what is missing, generate instruction from your own documents, then check what was understood before a skill counts. Clara, Opigno's AI coach, is one of these agents, not the whole product.

Tell us one process. We'll show you the agent.

A short working session on your own teams and data.

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