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.
Time Machine is adaptive training software plus operators who operationalize company expertise.
For technical leaders: a system that sits alongside your SaaS and AI tools — via REST, MCP, Slack, SSO —
so human capital compounds without becoming another silo.
Why technical leaders engage us
Expertise is fragmented
Product truth lives in decks, tickets, call recordings, and wikis. Training and “ask an expert” are 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 every product release restarts the content treadmill. Automation and 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 text/voice/video, mastery skip, company Experts),
with AI Collaborator to turn messy sources into structured learning.
Operators + software — we help extract knowledge and run the system; you don’t get an empty LMS and a hope.
Design principle
Your courses, Experts, assessments, and outcomes stay yours. Swap models later without losing the company-veteran expertise encoded in the learning system.
Integration surfaces
REST API · OpenAPI 3.1MCP server · agent toolsSlack ExpertZapierMicrosoft Power Automate / CopilotEnterprise SSO
Same API-key model for programmatic surfaces. Slack: one admin install + /tm-setup. Details: timeml.ai/automate-training-loop.html · timeml.ai/slack-expert.html
1 / 2 · Time Machine · Technical overview
Technical overview
API · Security · How to evaluate
https://api.timeml.ai/api/v1/mcp — Model Context Protocol tools for Claude, Copilot, Codex, and custom agents to drive the learning loop in plain language.
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
01
Data & tenancy
Where knowledge lives, how Experts are scoped, and what leaves your control — vs chat tools that blur boundaries.
02
Integration path
SSO first; then API/MCP or Slack for answers-in-flow; Zapier/Power Automate for hire-to-ready automation.
03
Operating model
Who builds content: your team, ours, or both. Time Machine is built for operators + product, not empty software.
