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.
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.
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.
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.
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.
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.
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.
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.
Reference architecture for the Intent Router, Data Bridge, Knowledge Bridge, governed actions and the immutable audit trail — one engine, two deployments.
Adopt governed enterprise AI — BYOK model routing, secure RAG with citations, PII masking, RBAC access sets and approval workflows across your business apps.
Build on the Salesforce-native AppExchange edition — Apex, LWC, Flows, record pages and the utility bar, with USER_MODE, CRUD/FLS and sharing enforced.
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.
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.