Individual AI Literacy Training
Founders, managers, freelancers, operators, job seekers, professionals. Built around daily work and goals.
AequAI Academy is where your team learns AI on its own work, not on generic examples. See what AI can safely do, what stays out of scope, which adoption map fits your context, and which artifact AequAI produces. It is a practice surface for building judgment, not a credential program.
AI Literacy Training helps individuals, founders, teams, and departments learn AI through their own workflows, data boundaries, tools, approval responsibilities, and business goals. Every program is prepared personally. AequAI does not sell generic, one-size-fits-all AI courses.
Founders, managers, freelancers, operators, job seekers, professionals. Built around daily work and goals.
Departments and small teams. Shared workflows, approval gates, collaboration rules, tool boundaries.
Leaders and decision makers. Decision briefs, risk, governance, adoption strategy.
Sales, marketing, support, operations, finance, HR, engineering/product, legal coordination, procurement.
ChatGPT, Claude, Copilot, Gemini, Grok, Mistral / European options, local-model basics, automation awareness.
Browser, coding, research, task agents. Safety, human approval, logs, non-production practice.
Each track names who it helps, what it teaches, a safe first action, a related template, and the related AequAI service. Pick the smallest track that clarifies your next step.
Teaches: L0-L4, workflow selection, data boundaries. Safe first action: map one workflow. Template: AI use inventory. Service: AI Adoption Diagnostic. Personalized to role, workflow, tool stack, risk profile.
Teaches: source facts, approvals, logs, decision trails. Safe first action: create evidence map. Service: DPP Readiness Review. No regulated conclusion.
Teaches: review checkpoints and stop conditions. Safe first action: add a gate to one draft workflow. Service: AI Governance Starter Kit. No removal of human responsibility.
Teaches: dry-run events, exceptions, logs. Safe first action: simulate one synthetic workflow. Service: AI Workflow Simulation Lab. No production execution.
Teaches: selecting one safe pilot. Safe first action: pick an L1 workflow. Service: Department AI Pilot Design. No broad rollout promise.
Teaches: simple AI rules and responsibilities. Safe first action: draft internal use rules. Service: AI Governance Starter Kit. No formal assurance claim.
Teaches: role-specific AI habits. Safe first action: build learning plan. Template: personal learning plan. Personalized to person/team/role/workflow/tool stack/risk profile.
Teaches: ChatGPT, Claude, Copilot, Gemini, Grok, Mistral, automation awareness. Safe first action: practice one approved workflow. No vendor endorsement.
Teaches: AI use by role. Safe first action: choose one role workflow. No one-size-fits-all path. See the role maps below.
Teaches: product-data and supplier-evidence preparation. Safe first action: supplier evidence request pack. Service: DPP Readiness Review. No DPP operation or green-claim approval.
Teaches: rights, roles, counsel questions, no-token alternatives. Safe first action: asset/use-case question map. Service: Tokenization Readiness Review. No sale, liquidity, custody, or chain-release posture.
Each role path is personalized to role, workflow, tool stack, risk profile, and approval responsibilities. Each names first safe workflows, approval gates, a 30-day plan, and what not to automate or claim.
First: morning brief, decision memo, tool rules. Gate: owner review. Don't claim business outcomes.
First: KPI brief, risk summary. Gate: leader review. Don't claim forecast certainty.
First: account summary, proposal draft. Gate: sales-owner review. Don't automate outreach.
First: claim review, brief draft. Gate: content-owner review. Don't auto-publish.
First: escalation summary, FAQ draft. Gate: support-owner review. Don't automate replies.
First: SOP draft, exception summary. Gate: process-owner review. Don't change systems.
First: close checklist, variance questions. Gate: finance-owner review. Don't do filings/payments.
First: onboarding FAQ, policy summary. Gate: HR-owner review. Don't make personnel decisions.
First: spec draft, test checklist. Gate: engineering review. Don't deploy or mutate repos.
First: document inventory, question pack. Gate: counsel review. Don't state professional conclusions.
First: evidence request, vendor comparison. Gate: procurement review. Don't accept supplier claims.
First: proposal draft, research summary. Gate: self/partner review. Don't claim outcomes.
Also covered: job seeker / career transition, small business owner, frontline manager. Each path stays at assist/draft with a named reviewer before any real authority.
Safe workflow practice per tool. No vendor partnership, endorsement, production implementation, or customer-result claim.
Prompt workflows, projects, file analysis with approved inputs, daily drafts. Blocked: sensitive-data paste, unreviewed sends.
Long-context writing, analysis, artifacts; coding-agent basics with approval gates. Blocked: unreviewed code changes, private-file upload.
Meeting summaries, document drafts, spreadsheet help. Org-approved data only.
Gmail drafts, Docs summaries, Sheets support, Slides outlines. Approved Workspace content only.
Current-signal awareness, trend review. Don't treat weak signals as facts.
Multilingual workflows, document processing, model-choice question pack. Approved documents only.
Trigger/action mapping, approval-gate design, sandbox simulation. No unsupervised external actions.
Agent role inventory, dry-run tasks, event logs, supervised simulation. No production mutation or credential use.
The training equivalent of the AI Adoption Diagnostic: it helps choose what to learn first and what should stay out of scope. Intake maps role/workflow, tool stack, data boundary, approval responsibility, and a confidence baseline, then selects a safe first workflow (frequent, reversible, approved sources, clear reviewer, L0 or L1).
Every learning plan ends with a proceed, shrink, park, or kill decision. Outputs are practice artifacts; they do not approve publication, customer claims, production automation, or external action.
Start with a training readiness assessment, or begin with AI Adoption Basics if you are unsure. Personal, team, role, and tool paths all start from your real workflows.