An LMS with its own artificial intelligence, that knows each person's training

An LMS with artificial intelligence is useful when the AI knows what happens inside the platform: what training each person has, how far they have progressed and what the lessons say. Clikma's Smart Assistant answers with that data and cites its sources, searches by meaning across the catalog and the text of the lessons, and from the same chat enrolls the person in an elective or gives them their certificate. It writes its answers with a local language model, tuned by the Clikma team and hosted on Clikma's infrastructure: it is part of the platform, not an external service, and it does not send data to third-party model APIs.

The other half is practice. With Your Mentor, each person rehearses a sale, an interview, a complaint or a leadership conversation by voice with an AI character, in scenarios created by your own company, and receives the transcript, a score and feedback based on the framework you choose: STAR, BEST or DISC.

Smart Assistant

• AI assistant that knows each person's training

  Answers questions about each person's progress, grades, history and catalog, with sources cited, in Spanish, English and Portuguese.

• Course enrollment and certificates from the chat Differentiator

  The assistant enrolls the person in an elective and gives them their certificate without leaving the conversation.

• Team progress in natural language

  Managers ask how their team is doing and get the answer with bar charts and pie charts.

• AI course recommendations

  The assistant suggests electives similar to what the person has already taken and suited to their job profile.

• Summaries, writing and translation

  Summarizes, writes and translates with sources cited, a rating for each answer and a conversation history.

• Platform manuals inside the assistant

  Answers how to configure something and provides the link to the manual, which is updated every day.

• Assistant usage dashboard

  Shows the queries with no results, the ratings given to answers and the most cited content.

Clikma's own model, search and content

• Clikma's own AI, hosted on its infrastructure Differentiator

  The assistant writes its answers with a local language model, tuned by the Clikma team and hosted on Clikma's infrastructure: it does not use third-party model APIs and has no per-query cost.

• Semantic search across the catalog and the lessons

  Searches by meaning across the catalog and the text of the lessons, including video transcripts, with summaries by course and by module.

• Automatic video transcription

  Lesson videos are transcribed and their content becomes searchable by the assistant.

• AI-generated mind maps and diagrams Differentiator

  From the content, the AI builds a mind map, a timeline, a flowchart or a comparison table, downloadable as PNG or SVG.

• AI creation of courses, scripts and assessments

  Generates the script, the course structure and the assessments, and transcribes and indexes the content.

Your Mentor: AI conversation practice

• AI voice roleplay

  The person talks by voice with an AI character to rehearse a sale, an interview, a complaint or a leadership conversation.

• Roleplay scenarios created by your company

  Each scenario defines 3 to 5 objectives, behaviors to observe, an opening line, a coach tip, duration, context and up to 5 knowledge documents.

• AI characters with personality, voice and avatar

  Each character has its own personality and avatar, and a voice chosen by language, region and gender.

• Feedback with the STAR, BEST or DISC frameworks Differentiator

  Each scenario uses the feedback model the company chooses and a dictionary of competencies and behaviors.

• Transcript and score for each practice session Differentiator

  When they finish, the person reviews what they said and how the AI assessed it.

• Personal practice dashboard Differentiator

  Under “My Roleplays,” each person sees their average score, the hours practiced, a radar chart by competency, their main strength and their main opportunity for improvement.

• Manager dashboard and report for each roleplay Differentiator

  Managers see their team's progress on a consolidated dashboard, and each scenario has its own report.

• Roleplays inside e-learning courses

  The roleplay is assigned as one more step in a course.

• Test simulations before publishing Differentiator

  Before it is published, each scenario is run automatically and receives a health score.