Salesforce Agentforce is one of the most prominent enterprise agent platforms in 2026 — and for companies that run on Salesforce, it’s a natural fit. But Agentforce is built around the Salesforce ecosystem, while osFoundry, a “Hybrid AI Orchestration Platform,” is built to run across whatever systems you already have. Here’s a factual comparison for a US business, with sources cited and estimates flagged.
At a glance
| osFoundry | Salesforce Agentforce | |
|---|---|---|
| Category | Hybrid AI orchestration platform | Autonomous AI agents for CRM |
| Ecosystem | Neutral | Salesforce / Data Cloud |
| Models | Bring your own, any provider | Model-agnostic via Atlas (proprietary engine) |
| Pricing | Via dgm: $399 / $3,999/mo | $2/conversation, $125/user/mo, or Flex Credits |
| Replaces other SaaS | Designed to consolidate | Extends Salesforce |
What Agentforce is
Agentforce is Salesforce’s autonomous AI agent platform powered by the Atlas Reasoning Engine, which reasons over enterprise data, plans multi-step tasks, and executes actions — for both customer-facing and internal agents. It is at its best when Salesforce is your system of record and your data already lives in Salesforce Data Cloud.
osFoundry, by contrast, is not tied to a CRM. It orchestrates agents, automations, and apps in one workspace designed to consolidate tools across your business — independent of where your data sits. If most of your operational data lives outside Salesforce, that neutrality is the core reason to compare them.
Pricing
Salesforce now runs three pricing models in parallel: $2 per conversation for customer-facing agents; a per-user license from $125/user/month; and Flex Credits from $500 per 100,000 credits (about $0.10 per standard action, 100k minimum). Salesforce Foundations is offered at $0 for Enterprise Edition and above. The right model depends heavily on volume, which makes accurate budgeting an exercise in itself — and the underlying Salesforce licenses are a separate cost. dgm’s pricing stays fixed and transparent: $399 consult, $3,999/month integration.
Models, data, and lock-in
The Atlas Reasoning Engine is model-agnostic — it works with Einstein, OpenAI, and Claude models and supports bring-your-own-model — but the engine itself is proprietary, with limited visibility into its decision logic. The Einstein Trust Layer provides zero data retention by the model and data masking.
The bigger consideration is lock-in and limits. Data Cloud is effectively a prerequisite for full Agentforce functionality, and there are platform limits such as 500 LLM requests per minute in production and session timeouts. None of this is disqualifying if Salesforce is your hub — but it is real if you’re trying to automate broadly across non-Salesforce systems. osFoundry stays ecosystem-neutral and model-agnostic at the orchestration layer, which is the point of contrast.
Who each is best for
Agentforce is the stronger choice if Salesforce is your system of record, you’re invested in Data Cloud, and most of the work you want to automate is CRM-centric. osFoundry is the stronger choice if your work and data span many systems, you want to avoid deepening CRM lock-in, and SaaS consolidation is a goal.
Which should a US company choose?
If Salesforce is your system of record and you’re invested in Data Cloud, Agentforce is a powerful, native choice. If you want to orchestrate agents across many systems, avoid CRM lock-in, and consolidate SaaS, osFoundry is the more strategic foundation. dgm assesses how much of your work actually lives in Salesforce versus elsewhere, recommends the path that delivers the most value, and then implements it.