Investing in innovative customer relations training only makes sense if it fits into the learning ecosystem you already run. A standalone tool, however good, creates friction: a second login for learners, progress data scattered across systems, and extra administrative work for L&D teams.
LMS integration removes that friction by making AI simulations a native module of your learning path, accessible from the environment your learners already use every day. It is a prerequisite for any large-scale rollout.
From the learner's point of view, integration should be invisible. They log into their usual LMS, open their learning path, and launch an AI simulation exactly as they would launch any other e-learning module. No new URL to remember, no new password, no break in the experience.
In practice, the simulation appears as a block within the path, sitting between a theory module and a quiz, for example. The learner clicks, the session opens in an embedded window, and once it ends they return automatically to the LMS with their progress updated.
For the trainer, integration means session data flows back into the LMS automatically. The score and completion status reach the LMS gradebook without anyone re-keying figures.
Trainers keep access to the detailed session debrief (objectives, strengths, areas to improve, non-verbal analysis with timestamped key moments) through the Face Up authoring tool, while headline progress indicators remain visible directly in the LMS.
For the LMS administrator, integration removes manual access management. LMS users automatically gain access to simulation modules according to the enrolment rules already defined in the LMS. Completion data feeds compliance reporting, which matters for any training subject to regulatory obligations.
LTI is the most widely adopted standard for connecting third-party tools to an LMS. It launches the simulation straight from the LMS with automatic authentication (SSO), so the learner never has to sign in twice.
Face Up supports LTI 1.3, the most recent version of the standard, with Deep Linking to choose the scenario from the LMS and grade passback (AGS) of the score and completion status.
Face Up does not offer a SCORM package or an xAPI feed: the simulation stays hosted on the Face Up side and is launched from the LMS through LTI 1.3.
Face Up connects to any LMS that supports LTI 1.3.
Moodle. Integration via LTI 1.3, with Deep Linking and grade passback.
Rise Up. Integration via LTI 1.3, with Deep Linking and grade passback.
Other platforms. Any LMS compatible with LTI 1.3 can host Face Up simulations.
The technical work is quick. Here is the typical sequence.
Step 1: Technical configuration. The Face Up team supplies the LTI 1.3 credentials. The LMS administrator configures the external tool in the LMS. Connection test and SSO verification follow.
Step 2: Building the learning paths. The trainer creates their own scenarios in the Face Up authoring tool, then adds them to the matching LMS courses through Deep Linking.
Step 3: Validation and launch. End-to-end test with a pilot group. Check that data flows back correctly (score and completion status). Adjust where needed, then open access to all learners.
Most of the effort goes into designing the training scenarios, not into the technical set-up.
The data passed to the LMS covers the completion status of the activity and the session score.
This feeds standard LMS reporting and your existing training follow-up indicators.
For finer analysis, the Face Up platform provides a full competency-level assessment after each session: objectives met or not, strengths, areas to improve and an action plan.
On top of that comes an analysis of non-verbal communication, with timestamped key moments.
Trainers reach this detail through the Face Up dashboard, while summary indicators feed the LMS.
A typical path for training bank advisers inside the LMS might be structured as follows. Module 1: e-learning theory on banking products (already in the LMS). Module 2: Face Up simulation: a discovery conversation with an avatar prospect (embedded via LTI). Module 3: knowledge quiz on regulatory requirements (already in the LMS). Module 4: Face Up simulation: handling a complex complaint (embedded via LTI). Module 5: debriefing session with the trainer (scheduled through the LMS).
The learner moves through the LMS in a straight line. Simulations slot naturally between theory modules and assessments, creating a coherent blended learning path.
For retail sales teams, the LMS can offer short simulation sessions as microlearning: five minutes of practice on a targeted scenario such as greeting an unhappy customer, suggesting an add-on sale, or handling a product return.
Training providers working under quality-assurance or accreditation frameworks have to evidence every learning activity. Integrating Face Up simulations into the LMS satisfies that requirement.
Every session is time-stamped and tied to an identified learner. Assessment criteria are set out explicitly in the scenario. Progress is measurable over time.
These records feed directly into the indicators auditors look for on assessment of learning and on tracking learner progress.
LMS integration raises legitimate questions about data security. Here is how Face Up approaches them.
GDPR. Learners can request access to and deletion of their data at any time. Session transcripts and recordings are used exclusively for performance analysis.
AI Act. Use is strictly educational. Face Up simulations are never used to assess learners in ways that determine access to professional opportunities.
Our LMS is not on the compatibility list. Is that a blocker? No. Any LMS that supports LTI 1.3 can host Face Up. For other systems, contact the Face Up team to review the options.
Does integration require development work on our side? No. Configuration happens through the LMS administration interface. No client-side development is required for an LTI 1.3 integration.
Is simulation data visible in LMS reports? The score and completion status flow into the LMS. The detailed debrief, including the non-verbal analysis, is available on the Face Up platform.
How much does LMS integration cost? See our pricing guide for the detail of each package. Training budget and funding options are also available.
Adding AI simulations to your LMS is not a heavyweight digital transformation project. It is a short technical operation that opens a new set of teaching possibilities for your customer relations training.
The most effective training methods combine theory and practice. LMS integration lets you build that combination into a single path that is smooth, tracked and measurable.
Ready to connect Face Up to your LMS? Request a technical demo and see exactly how the integration behaves with your infrastructure.
