Resources

AgenTorQ resources: guides, architecture & enterprise AI

Docs, architecture guides, enterprise and Salesforce AI guides, webinars, release notes and case studies for the architects, developers and platform teams standing up governed, multi-model AI Workmates with AgenTorQ — the enterprise AI platform you deploy as a standalone Cloud workspace or natively inside Salesforce.

Featured guides

Start with the guides teams ask for most

Field-tested guidance for governed, multi-model enterprise AI. New long-form guides are in progress — each card links to the shipped capability it covers so you can dig in today.

Enterprise AI · guide in progress

Building governed AI Workmates for the enterprise

What an AI Workmate is — a role-aware agent that reads your data, reasons, cites knowledge and takes approved actions — and how to stand one up with guardrails, RBAC and an audit trail across sales, service, ops, admin and developer roles.

See AI Workmates on Solutions
Architecture · guide in progress

Multi-model AI routing for enterprises

How the Intent Router grades every turn and routes across 14+ AI providers with cost control and fallback — choosing the right model per task instead of locking your whole org to one vendor.

See model routing on Features
Enterprise AI · guide in progress

BYOK AI strategy

Adopt AI at cost, not at a markup. Bring your own keys across 14+ providers, pay model vendors directly with no per-message metering, and keep routing, spend and fallback under your control.

See BYOK on Pricing
Governance · guide in progress

How to govern AI actions

Turn AI from chat into safe execution: approval cards before every write, enforced operating modes, PII masking, guarded SOQL/DML and an immutable audit log for every prompt, action and model call.

See governance on Security
Developer guide · in progress

Apex & LWC with AgenTorQ

Build on the Salesforce-native edition with DevSpace Studio: an AI Workmate that edits and ships Apex, LWC and Flows under USER_MODE, runs real git on GitHub, and surfaces every change as a diff you approve before deploy.

Open the Developers page
Comparison · guide in progress

Open agentic platform vs native CRM AI

Why an open, model-agnostic platform beats a single-vendor CRM AI agent: your own keys across 14+ models, RAG over your documents, 600+ connectors, zero-trust controls, and one engine you deploy standalone or inside Salesforce.

Compare the approach
Browse the library

Everything you need to evaluate, build and operate

Reference material and practitioner guidance across the whole platform — with more published as AgenTorQ grows. Placeholder sections are clearly marked while their content is in progress.

Blog & product notes Coming soon

Engineering and product notes on multi-model routing, governance and the platform architecture behind AgenTorQ.

Get notified

Documentation

Platform concepts, configuration and administration — how Workmates, model routing, governance and connectors fit together across both editions.

Read the docs

Architecture guides

Reference architecture for the Intent Router, Data Bridge, Knowledge Bridge, governed actions and the immutable audit trail — one engine, two deployments.

Explore the platform

Enterprise AI guides

Adopt governed enterprise AI — BYOK model routing, secure RAG with citations, PII masking, RBAC access sets and approval workflows across your business apps.

See enterprise use cases

Salesforce AI guides

Build on the Salesforce-native AppExchange edition — Apex, LWC, Flows, record pages and the utility bar, with USER_MODE, CRUD/FLS and sharing enforced.

View the Salesforce edition

Webinars & live demos On request

Deep-dive sessions on model governance, connectors and rollout patterns — delivered live or tailored to your architecture.

Book a session

Release notes Coming soon

Platform release notes and product updates as new capabilities ship across the AI engine, connectors and DevSpace Studio.

Get notified

Case studies Coming soon

Enterprise outcomes from teams running governed AI across sales, service, operations and developer workflows. In production today, publishing soon.

Request early access
Documentation

Written for the people who deploy it

AgenTorQ documentation is organized around how enterprise teams actually roll out governed AI — from the first connector to a production audit trail, on the standalone Cloud workspace or the Salesforce-native edition.

  • Architecture & concepts
  • Workmate & workflow config
  • Multi-model routing & policy
  • Salesforce records, Apex & LWC
  • Connectors & custom actions
  • REST API & webhooks
  • Governance, RBAC & audit
  • PII masking & data boundaries
Open developer docs
quickstart.sh
# Invoke a governed AI Workmate over the REST API
curl https://api.agentorq.com/v1/agents/opportunity-risk/run \
  -H "Authorization: Bearer $AGENTORQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "recordId": "0065g00000AbCdEfGHI",
    "model": "auto",
    "governance": "enterprise"
  }'

# -> summary + approval-gated actions, fully audit-logged
Keep in touch

Product notes, guides and release updates

Get new documentation, guides and platform releases as they ship. Low volume, no marketing noise — built for practitioners.

No spam — or email us directly at reachout@agentorq.com.

See governed, multi-model AI on your own data

Book a tailored demo, or launch the workspace and try AgenTorQ against your own use case — governed, multi-model and auditable from day one, standalone or inside Salesforce.

reachout@agentorq.com