Technical overview For CTOs, CIOs & technical founders
timeml.ai · Confidential for recipient

Organizational learning infrastructure

A learning loop your company owns — wired into your stack.

Adaptive training software plus operators, sitting next to your SaaS and AI tools via REST, MCP, Slack, and SSO — so expertise compounds without becoming another silo.

Why technical leaders engage us

Expertise is fragmented

Truth lives in decks, documents, tickets, recordings, and wikis. Training is disconnected from systems of record.

DIY AI doesn’t compound

Chatbots and prompt packs don’t give you mastery, practice, readiness data, or a durable asset when models change.

Enablement doesn’t scale on headcount

Every hire and release restarts the content treadmill. Integrations matter as much as content quality.

Security is non-negotiable

You need SSO, clear data boundaries, and a vendor that doesn’t treat your corpus as free foundation-model fuel.

Platform shape

Adaptive learning + practice on your materials — courses, role-plays, mastery skip, company Experts — with AI Collaborator to structure messy sources. Operators + software: we help extract knowledge and run the system.

Design principle

Courses, Experts, and outcomes stay yours. Swap models later without losing the expertise encoded in the system.

Integration surfaces

REST API · OpenAPI 3.1 MCP server · agent tools Slack Expert Zapier Microsoft Power Automate / Copilot Enterprise SSO

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Technical overview API · Security · How to evaluate

API & agent access (high level)

REST

https://api.timeml.ai/api/v1 — provision learners, manage courses, exercises, Experts, readiness. Bearer auth; keys issued in product settings.

MCP

https://api.timeml.ai/api/v1/mcp — Claude (timeml.ai/claude), ChatGPT (timeml.ai/chatgpt), Copilot, Codex, and custom agents.

Slack Expert

Company Experts via /expert, @mention, or DM. Workspace admin connects once; whole team can ask without leaving Slack.

Automations

Zapier app and Microsoft connectors for HRIS/CRM-triggered onboarding, assignment, and certification loops — no-code where you want it.

Security & trust posture

SOC 2 Type II
SSO: SAML 2.0, OIDC (Okta, Entra ID, Google Workspace, etc.)
TLS in transit · AES-256 at rest (enterprise standard posture)
JIT provisioning limited to approved email domains

Does not train foundation models on customer data
Enterprise AI providers with no-training agreements
Role-based access; least privilege defaults
Trust materials: timeml.ai/trust.html

What to evaluate in a technical diligence call

Data & tenancy

Where knowledge lives, how Experts are scoped, and what leaves your control — vs chat tools that blur boundaries.

Integration path

SSO first; then API/MCP or Slack for answers-in-flow; Zapier/Power Automate for hire-to-ready automation.

Operating model

Who builds content: your team, ours, or both. Time Machine is built for operators + product, not empty software.

Reference links

API & MCP: timeml.ai/ai-agent-training-api-mcp.html · Automations: timeml.ai/automate-training-loop.html · Slack: timeml.ai/slack-expert.html · OpenAPI: api.timeml.ai/api/v1/swagger-ui