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LMS / Performance

Canvas LMS AI Integration

Connect Canvas LMS to BeforeQuery for grounded AI answers and agent actions across LMS / Performance.

Connect Canvas LMS
What is it?

About Canvas LMS

Canvas LMS is one of the LMS / Performance platforms BeforeQuery connects to. Once linked, the platform's data becomes a first-class source for grounded AI answers and a target for policy-gated agent actions — the same identity, approval, and audit-log guarantees every other integration ships with.

Setup

How to connect Canvas LMS

  1. Step 01

    In the BeforeQuery dashboard, go to Integrations → LMS / Performance and select Canvas LMS.

  2. Step 02

    Sign in to Canvas LMS with an account that has permissions to grant BeforeQuery the LMS / Performance scopes required.

  3. Step 03

    Confirm the connection. Canvas LMS is now available as a source and action target for every playbook in your workspace.

Explore

Related integrations

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Lattice

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Lessonly

Lessonly is one of BeforeQuery's LMS / Performance integrations. Connect it once and every agent in your workspace can read, reason over, and act on Lessonly data with your policies + audit trail.

How BeforeQuery uses Canvas LMS

What the agent does with your Canvas LMS connection

  • 01

    Read Canvas LMS learning progress and performance records to power personalized learning and coaching moments.

  • 02

    Assign, remind, and track mandatory training completion — with escalation when deadlines slip.

  • 03

    Draft performance review inputs grounded in Canvas LMS feedback, 1:1 notes, and OKR progress.

  • 04

    Deliver micro-learning "just in time" — when someone asks a question, surface the relevant training module alongside the answer.

Use cases

What teams actually do with the Canvas LMS integration

Mandatory training completion cascade

New employees + annual re-certifications get auto-assigned in Canvas LMS. BeforeQuery nudges at 7, 3, and 1 day before deadline; escalates to manager at overdue; sends completion certificates when done.

Just-in-time learning

When someone asks a question that has a Canvas LMS training module attached, BeforeQuery answers the question AND surfaces the training as optional deeper learning. Higher engagement, less "you should take a course" cold-selling.

Performance review prep

Before a review cycle, BeforeQuery drafts a prep packet per employee: OKR progress, Canvas LMS training completion, 360 feedback themes, prior-cycle goals. Reviewers open a ready-made template instead of starting blank.

Answer questions grounded in Canvas LMS

Employees and customers ask Canvas LMS-related questions in Slack, Teams, or the widget — BeforeQuery answers with the exact Canvas LMS record shown alongside the response. No context switching, no "log into LMS / Performance to check" round-trips.

Canvas LMS — Frequently Asked Questions

Common questions about connecting BeforeQuery to Canvas LMS.

Only when explicitly scoped to a playbook that needs it — e.g., review-prep. Feedback text stays in Canvas LMS; BeforeQuery surfaces summaries, themes, and status without duplicating the raw records into the KB.
Standard OAuth 2.0 where Canvas LMS supports it, otherwise API-key or bearer-token auth. Credentials are stored encrypted at rest (AES-256-GCM) per workspace, never shared across customers, and rotated on request. The connection is scoped to the least-privilege set of scopes each playbook needs — you approve the scope list on install.
No. Your Canvas LMS data feeds only your workspace's own agents and answers. Nothing is used to train a shared model, and nothing crosses workspace boundaries. Bring-your-own-model is available on Enterprise if you want to pin inference to your own OpenAI / Anthropic / self-hosted deployment.
Yes. Every Canvas LMS integration is scoped at install time — you pick which resources, users, or record types are visible. You can further restrict per-playbook: a single playbook only touches the specific Canvas LMS objects it needs. Scope changes take effect on the next sync.
Every write is logged with the acting user, the playbook that fired it, the exact operation, the target entity IDs, and the timestamp — all in the immutable audit log. Writes are rehearsable in simulation mode against a copy of live data before they touch Canvas LMS for real.

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