Compare AgenTorQ: open enterprise AI vs locked-in CRM AI
AgenTorQ is an enterprise AI platform with two deployment editions of one engine — AgenTorQ Cloud, a standalone web workspace, and AgenTorQ for Salesforce, a native AppExchange managed package. Below: a granular, atomic capability-by-edition table, then honest side-by-sides against native CRM AI, single-model chatbots, and building in-house.
Same AI engine, Workmates, governance and connectors — only the deployment differs.
24-capability atomic table 600+ connectors BYOK across 14+ models Governed & audited Two deployments
One AI engineWORKMATES · GOVERNANCE · CONNECTORS · 14+ MODELS
AgenTorQ Cloud
Standalone web workspace
No install — open in a browser
BYOK + per-user OAuth
For Salesforce
Native record pages + utility bar
AppExchange managed package
USER_MODE — CRUD/FLS/sharing
Same platform. Only the deployment differs.
One platform · two deployments · shared everything
AgenTorQ Cloud vs AgenTorQ for Salesforce — every capability, atomic
Both editions run the same engine. Most rows below are identical because it is the same platform — only the deployment surface, install method, identity model and native-record enforcement differ.
Included Deployment-specificIdentical in both editionsDiffers by deployment
Scroll the table sideways to see both editions.
Atomic capability comparison of the two AgenTorQ editions: AgenTorQ Cloud (standalone web) and AgenTorQ for Salesforce (native AppExchange managed package).
Capability
AgenTorQ CloudSTANDALONE WEB · NO INSTALL
AgenTorQ for SalesforceNATIVE APPEXCHANGE PACKAGE
AI & reasoning coreIdentical in both editions
AI Workmates
Role-aware agents that read data, reason, cite and take approved actions
The same Workmates, docked on record pages and the utility bar
Intent Router
Dynamic graded routing of every turn — nothing hardcoded
The same router, running on-platform
Multi-model BYOK (14+ engines, own keys)
OpenAI, Claude, Gemini, Grok, DeepSeek, Mistral and more — your keys
Same 14+ providers, keys stored in the org credential vault
Model routing + fallback
Route by task with cost control, latency and fallback
Identical routing, cost control and fallback
Per-user memory
Concepts, Entities, Workstreams and Notes, private per user
Same per-user memory, isolated on-platform
Prompt Library
Shared, reusable prompts and folders
The same prompt library
Knowledge & groundingIdentical in both editions
RAG on files + data
Embeddings over folders, files and chunks
Same RAG, with object-level include/exclude on CRM data
Source citations
Every grounded answer cites its records and sources
Same citations, pointing at live records
Enterprise Search
Search across connected systems and knowledge
Same search, on-platform
File upload (PDF/Word/Excel/CSV/images)
Any file, any model — native vision or OCR
Same document and OCR intelligence
Web search (dated sources)
Model-agnostic web search with dated, sourced results
Same web search
ConnectivityShared · one native-record path
600+ connectors (Nango/REST/MCP/DB)
Per-user OAuth, REST, GraphQL, databases and custom MCP
Same connector layer, with Remote Site Settings handled
Salesforce live-record grounding
Live SOQL reads through the Salesforce connector (OAuth)
Native record context on the page, guarded and in USER_MODE
Actions & workflowIdentical in both editions
Actions / ACTs (Approve & Execute)
Create/update records, run Flows, send email behind approval cards
Immutable log of every prompt, action and model call
Same audit trail, retained on-platform
USER_MODE + FLS + sharing enforcement
Enforced via per-user OAuth scopes (Salesforce USER_MODE is on-platform only)
Native USER_MODE — CRUD, FLS and sharing honored per user
Developer toolsIdentical in both editions
DevSpace (Apex/LWC/Flow)
AI-native IDE: browse, edit, diff, deploy, test and fix
The same DevSpace Studio, against your org metadata
GitHub dev (branch/PR/merge)
Real git over the API: branch, PR, list, merge — no local clone
Same GitHub, GitLab, Bitbucket and Azure code providers
DeploymentDiffers by deployment
Deployment surface
Standalone web workspace in any browser
Inside Salesforce — record pages, app pages and utility bar
Install
None — open in the browser and start
AppExchange managed package, admin-installed and upgraded
Identity
BYOK + per-user OAuth to each connected system
Native Salesforce identity, session and security model
Most capabilities are identical across both editions — it is the same platform. Only the deployment surface, install method, identity model and native-record enforcement change. Choose AgenTorQ Cloud to start instantly with no install, or AgenTorQ for Salesforce to run natively on your records — or run both.
AgenTorQ vs the alternatives — three honest side-by-sides
The same thirteen dimensions, compared against a native single-vendor CRM AI, a single-model chatbot, and building enterprise AI in-house.
AgenTorQ vs native CRM AI
A native, single-vendor CRM agent is convenient — but locked to one model, metered per conversation, and limited in what it reads and does.
Capability
AgenTorQOPEN AI PLATFORM
Native CRM AIVENDOR-LOCKED
Model flexibility
14+ providers + self-host, per task
Locked to one vendor model family
BYOK
Your keys, pay providers directly
No bring-your-own-key option
Salesforce integration
Native managed package + Cloud connector
Native to its own CRM only
Cross-app connectors
600+ apps, REST, GraphQL, DB & MCP
Closed ecosystem, approved integrations
Workflow actions
Create/update, run Flows, send email — approved & audited
Limited to predefined topics/actions
RAG
Cited RAG over files, data & knowledge
Grounding within one vendor framework
OCR
PDF, Word, XLSX, CSV + scanned-image OCR
Limited file understanding; OCR rare
Audit logs
Immutable log of every prompt, action, model call
Limited visibility into calls and failures
Developer tools
DevSpace IDE: Apex/LWC/Flow + GitHub git
No developer IDE
Time to value
Managed package or instant web workspace
Setup within one platform framework
Cost control
AI at cost (BYOK), routing + fallback
Metered per conversation / credits
Deployment option
Standalone web and Salesforce-native
One place only
Extensibility
REST API, custom actions, connectors & MCP
Extends within vendor limits
AgenTorQ vs a single-model chatbot
A general chatbot is quick to try — but it runs on one model, cannot take governed actions on your systems, and has no enterprise audit.
Capability
AgenTorQENTERPRISE PLATFORM
Single-model chatbotPOINT TOOL
Model flexibility
14+ providers, routed per task
Usually one model or family
BYOK
Your keys across every provider
Rarely; usually metered per seat
Salesforce integration
Native package + live-record grounding
No CRM grounding
Cross-app connectors
600+ apps + REST/GraphQL/DB/MCP
A few plugins / limited tools
Workflow actions
Governed ACTs on real systems, approved
Chat only, no governed actions
RAG
Cited RAG over your files and data
Basic file chat, weak citations
OCR
PDF/Word/XLSX/CSV + OCR
Varies; usually limited
Audit logs
Full audit trail + health console
No enterprise audit
Developer tools
DevSpace IDE + GitHub git
No IDE or deploy tooling
Time to value
Instant workspace or managed package
Fast to chat, slow to govern
Cost control
BYOK, routing, fallback
Per-seat or per-token, no routing
Deployment option
Web and Salesforce-native
Web app only
Extensibility
API-first: custom actions, connectors, MCP
Limited extensibility
AgenTorQ vs building it in-house
You can build enterprise AI yourself — but reaching parity means quarters of engineering across models, connectors, RAG, governance, audit and every deployment surface.
Capability
AgenTorQBUY THE PLATFORM
Build in-houseBUILD & MAINTAIN
Model flexibility
14+ providers wired, routed, with fallback
You build and maintain each integration
BYOK
Key vault + per-user OAuth built in
You build secrets management
Salesforce integration
Shipped managed package, USER_MODE
Months of Apex/LWC + security work
Cross-app connectors
600+ connectors out of the box
Hand-rolled, brittle point-to-point
Workflow actions
Approval cards + audit built in
You build the guardrails yourself
RAG
Embeddings, chunking, citations ready
You build the whole RAG pipeline
OCR
Document + OCR intelligence included
You integrate OCR yourself
Audit logs
Immutable audit + observability included
You build logging and compliance
Developer tools
DevSpace IDE + git built in
You are the tooling
Time to value
Live in minutes to days
Quarters of engineering
Cost control
AI at cost, no markup
Infra + maintenance cost + drift
Deployment option
Web and Salesforce-native, day one
You build and host each surface
Extensibility
API-first platform to extend
You own all extension code
Comparisons are general and should be validated against each vendor’s current edition, licensing, and release notes. AgenTorQ is independent and not affiliated with Salesforce or AI model providers.
See it in depth
Explore the full platform
Every capability in the tables above has a dedicated home. Go deeper on Workmates, DevSpace, connectors, security and pricing.
