Specialty Tokens

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Salesforce Agentforce alternative

Agentforce is powerful inside Salesforce. If your workflows span ERP, accounting, custom systems, or another CRM, a vendor-neutral agent layer may fit better.

Salesforce Agentforce gives businesses a way to build agents inside the Salesforce ecosystem. For teams already living in Salesforce and Data Cloud, this can be the fastest path. When the workflow reaches beyond Salesforce, the costs and constraints of a single-vendor agent layer can add up.

Which is best for what

NeedSalesforce AgentforceCustom agent layer with Specialty Tokens
Workflow stays inside SalesforceExcellent fitPossible, but overkill
Workflow spans ERP, accounting, custom toolsLimited without heavy integrationCore strength
You want to own connectors and promptsLocked to Salesforce stackYou own everything
Pricing modelPer-seat/platform licensingMonthly embedded engineering fee
Time to first live agentDays to weeks if data is ready2–4 weeks for a load-bearing process
Deep customization of reasoningConfigurable within Salesforce guardrailsFully custom, model-agnostic

Best fit by buyer

Best for Salesforce-centric teams: Salesforce Agentforce. If all the data, users, and approval logic live in Salesforce, Agentforce can deliver a working agent quickly.

Best for heterogeneous environments: Specialty Tokens. ERP, accounting, custom APIs, and non-Salesforce CRMs become data sources for the same agent.

Best for teams that want full control: Specialty Tokens. The agent, connectors, prompts, and runbooks are in your repositories and run on your infrastructure.

Best for rapid prototyping inside Salesforce: Agentforce. A proof of concept can be stood up quickly where the data model is already unified.

Pros and cons: Specialty Tokens as the Agentforce alternative

Pros

  • Model-agnostic agent layer, not tied to one vendor.
  • Connectors to Salesforce plus 2,000+ other systems through Supercenter and the Model Context Protocol.
  • You own the code and the reasoning chain.
  • Pricing is a fixed monthly fee for an embedded engineer, not a per-user agent license.

Cons / when Agentforce wins

  • You need to maintain the connector after handover.
  • For purely Salesforce-native workflows, Agentforce may be faster to start.
  • Requires an internal champion who can operate the agent layer.

What you get.

  • One agent layer across all systems

    Specialty Tokens builds connectors through the Model Context Protocol so the same agent can read and act across Salesforce, ERP, accounting, and internal tools.

  • You own the integration

    Connectors, prompts, and runbooks are in your repositories, not locked behind a per-seat SaaS contract.

    Services

  • Senior AI engineer embedded

    A dedicated senior engineer designs the agent, runs it against real records, and hands it over to your team.

    Rent an AI engineer

  • Enterprise compliance built in

    Audit trails, approval gates, staged rollouts, and EU AI Act alignment are part of the architecture.

    Enterprise AI implementation

Our work in this field

The alternatives

Why teams pick a partner over a platform.

Off-the-shelf AI stops at chat. Consultancies leave with the deck. We do neither.

Off-the-shelf AI

ChatGPT Enterprise, Glean, Copilot

  • Reaches your ERP, CRM and back-officeNo
  • An agent platform your team can build onPartial
  • Custom skills built around your workflowsPartial
  • The IP stays yours, not the vendor'sNo
  • Works across Claude, ChatGPT and GeminiNo
  • Upskills your team to run it themselvesNo
  • Embedded with your team until it worksPartial

Traditional consultancy

Decks, then exit

  • Reaches your ERP, CRM and back-officePartial
  • An agent platform your team can build onNo
  • Custom skills built around your workflowsYes
  • The IP stays yours, not the vendor'sPartial
  • Works across Claude, ChatGPT and GeminiNo
  • Upskills your team to run it themselvesPartial
  • Embedded with your team until it worksNo

Specialty Tokens

Partner

  • Reaches your ERP, CRM and back-officeYes
  • An agent platform your team can build onYes
  • Custom skills built around your workflowsYes
  • The IP stays yours, not the vendor'sYes
  • Works across Claude, ChatGPT and GeminiYes
  • Upskills your team to run it themselvesYes
  • Embedded with your team until it worksYes

FAQ

Common questions.

When is Salesforce Agentforce the better choice?

Agentforce is the better choice when the workflow stays entirely inside Salesforce, the business already uses Data Cloud and Einstein, and the team wants a managed solution without owning the integration code.

When is a custom agent layer the better choice?

A custom layer built by Specialty Tokens wins when the agent must read or write data outside Salesforce, when data residency or approval rules sit in another system, or when the company wants to avoid per-seat pricing and vendor lock-in.

Does Specialty Tokens integrate with Salesforce?

Yes. Salesforce is one of many systems connected through the Model Context Protocol. The connector is built in your environment, on your API credentials, and handed over.

How long does a first Salesforce-connected agent take?

A first load-bearing process usually ships in 2–4 weeks, depending on API access, sandbox readiness, and approval chains.

What does it cost compared to Agentforce?

Agentforce pricing depends on edition, usage, and user count. Rent a Senior AI Engineer from Specialty Tokens starts at EUR 4,500 per month with monthly notice. Total cost depends on scope, not seats.

Part of

Related services

Agentforce or a custom agent?

Tell us which systems the agent must touch and how decisions are approved, and we will recommend the fastest, lowest-risk path.

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