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Role-based learning paths
Eight purpose-built paths — Sales, Marketing, Support, HR, Finance, Managers, Execs, Engineering. Each one covers the tools and workflows that role actually uses.
A role-based curriculum, an in-context coach, and a reporting instrument your CIO will actually open. Pilot in thirty days, prove the ROI by week three.
NO PROCUREMENT · 14-DAY TRIAL · CANCEL ANY TIME
AI POLICY
ENFORCED
COACH
STREAMING
COMPLETION
Q2 RUN
RISK FLAGS
CLEAR
CERTIFICATES
ISSUED
MISSION BRIEF / VOL. I — PRE-LAUNCH COHORT FORMING · DESIGN PARTNERS WANTED
Three positions on what enterprise AI training has to be in 2026 — and the things we refuse to ship.
THE GAP
Most enterprise AI training is generic, classroom-shaped, and divorced from the real work. Your operators want answers in the flow, not certificates filed away.
THE ANSWER
A role-shaped curriculum, an in-context coach trained on your policy, and an admin instrument that turns activity into evidence.
THE PROOF
Pilot in thirty days. Measurable improvement by week three. Department heatmaps and risk flags your CIO will actually open.
Baseline to measurable improvement in a single sprint. No learning management system migration, no RFP cycle, no procurement labyrinth.
A 15-minute adaptive baseline scores current AI literacy, flags the highest-risk non-users, and assigns a recommended level — Foundational, Practitioner, or Advanced — per person.
AI Basics first. Then a role-specific path — Sales, Marketing, Support, HR, Finance, Managers, Executives, Engineering — with content matched to how that role actually uses AI.
Admins get a live dashboard with department heatmaps, completion percentages, quiz scores, risk flags, and certificate issuance. Plain enough for a board update, exportable to your BI stack.
The gap between AI enthusiasm and AI capability is real — and it is widening. Here is what the numbers actually say.
0%
of employees use AI tools at work every week.
From draft emails to data summaries, AI has already entered the workflow — with or without HR approval.
0%
have ever received any structured AI training.
Most learned by trial and error, copying prompts from Reddit, or watching a YouTube video once.
0%
of leaders know which 12% those are.
There is no visibility into who is using AI well, who is guessing, and who is quietly pasting customer data into public models.
No stitching together a course platform, an LMS, a policy wiki, and a reporting tool. The whole stack is one workspace.
Eight purpose-built paths — Sales, Marketing, Support, HR, Finance, Managers, Execs, Engineering. Each one covers the tools and workflows that role actually uses.
Operators ask the coach to review their prompts, explain a concept, or suggest a better approach — in context, without leaving the platform.
Drop in your AI acceptable-use policy as PDF or plain text. The coach references it in every session, so guidance reflects your rules — not generic advice.
Automatic detection of PII, financial data, and confidential patterns in coach inputs. Operators see a warning before sending; admins see a flag in the risk report.
A live heatmap shows completion and scores by department and role. Filter by team, date range, or AI level. Export to CSV for your own tools.
Operators earn a verifiable certificate on completion of each path. Badges shareable on LinkedIn. Certificates stored, signed, and auditable.
All plans include a 30-day pilot. No training required to launch. No procurement labyrinth.
For smaller teams starting their AI training program.
For mid-size organizations that need visibility and control.
For large organizations with complex requirements.
The six questions we hear most from L&D leaders, IT directors, and HR Ops. Plain answers, no marketing fog.
Generic AI courses teach broad concepts — prompting theory, model types, use-case categories. LevelUp teaches your employees how to use AI in their actual job. A support rep learns how to handle tickets faster. A finance analyst learns how to summarize P&L reports. A manager learns how to write better performance review prompts. The content is specific, and the paths are assigned based on role, not chosen by the employee from a catalog.
Most organizations see measurable improvement in AI task quality within three weeks of launch. We can show you the before-and-after data from similar teams in your industry.
· NO PROCUREMENT TO START A PILOT
· AVERAGE SETUP: 3 DAYS
· 14-DAY TRIAL · CANCEL ANY TIME