Ortoo Orchestrator vs Agentforce

Agentforce brings AI agents. Ortoo runs the workflow around them.

Agentic workflow orchestration for complex Salesforce operations.

Salesforce has automation. It has flows. It has routing. It now has agents. What most teams still lack is control over how work actually executes from start to finish.

Ortoo Orchestrator fills that gap, coordinating AI, routing, approvals, and integrations into one governed workflow, with predictable execution and predictable cost.

Book a workflow-mapping session Compare side-by-side ↓

Built for: Salesforce platform owners · Enterprise architects · Service & RevOps · AI governance teams

The gap that matters

More automation isn't the problem. It's the lack of orchestration.

Most Salesforce workflow problems aren't caused by a lack of automation. They happen because execution is fragmented across flows, routing rules, integrations, APIs, agents, and manual fixes. Each part works on its own, but there's rarely a single system defining what should happen, in what sequence, under what conditions, and with what controls.

Native routing doesn't handle real-world complexity. Round-robin, skills-based assignment, capacity-aware distribution, multi-condition triage, these need workarounds that become fragile as teams and rules change. When workflows are rebuilt one team at a time, automation accumulates faster than it can be governed.

As AI agents enter the picture, that gap becomes operationally expensive. Ortoo Orchestrator introduces the structure that's missing.

In production

Orchestrating real work for real customers.

168,000+

Cases processed annually at Cars.com

120,000+

Records processed in 3 months at Assent Compliance

Full-time roles' worth of manual triage eliminated

Side by side

What each one does, and where they differ.

Agentforce introduces AI agents into Salesforce. Ortoo Orchestrator coordinates how the work executes across Agentforce, external agents, routing, approvals, and the systems your operation already runs on. You can also build agents directly on Ortoo, AI-using or deterministic, and orchestrate them alongside everything else.

Capability	Ortoo Orchestrator	Agentforce
Coordinates AI agents and deterministic workflows	Native	AI-centric
Build agents on the platform (AI-using or deterministic)	Yes, native builder	AI agents only
Works with Agentforce agents	Yes, orchestrates them	Not applicable
Orchestrates external AI agents (OpenAI, Anthropic, Google, others)	Yes	Limited
Bring your own LLM (GPT, Claude, Gemini, open-source, self-hosted)	Yes	Einstein, Salesforce-managed
Skills-based, capacity-aware routing with real-time availability	Native (Q-assign engine)	Limited
Round-robin assignment with workload balancing	Native	Not supported
Human approvals inside agentic workflows	Native	Partial
Pricing model	Work-item pricing, per work item handled	Usage-based, per conversation or action
Cost when AI isn't needed	Zero (deterministic mode)	AI runs on every step
Configurable under IT governance	Yes, scoped permissions per role	Requires Flow or Apex
Who can change a workflow, and how fast	Ops and business users, point-and-click in the product UI. No Salesforce Setup access needed; changes go live the same day.	Requires Salesforce Setup access plus Flow/Apex, gated behind IT and deploy cycles.
Audit trail and execution visibility	Full	Emerging

Audit trail and execution visibility

Ortoo Orchestrator

Full

Agentforce

Emerging

What Agentforce is great at: conversational front-end interactions, native Einstein, and a Salesforce-managed setup. Ortoo isn't a replacement for that, it coordinates the workflow around it.

Comparison accurate as of June 2026.

Most enterprise teams can't get Salesforce Setup access, it's locked to IT. So every native or Agentforce change is a request, a queue, and a deploy. Ortoo's configuration lives in the product, point-and-click, permissioned per role: the people who own the work change how it runs the same day, and adjust again when conditions change.

Cost predictability

Use AI where it adds value. Not on every step.

AI adoption should reduce operational complexity, not introduce unpredictable execution costs. Ortoo Orchestrator charges per work item handled: a lead, a case, a request, a workflow. Deterministic steps cost nothing.

The result: AI adoption that scales with operational value, not with consumption.

Ortoo Orchestrator

Work-item pricing, per work item handled. Deterministic steps cost nothing.

Agentforce

Usage-based, per conversation or per action. AI runs on every step.

Not either/or

Better together, not either/or.

Agentforce introduces AI agents into Salesforce. Ortoo coordinates execution across them, and across the agents you build directly on Ortoo.

Many customers run Ortoo with Agentforce. Agentforce handles conversational front-end interactions. Ortoo handles backend orchestration, routing, deterministic workflows, and the operational systems Agentforce doesn't reach.

The two work as layers, AI agents at the surface, orchestration underneath, predictable execution end to end.

Surface layer

Agentforce agents

Orchestration layer

Ortoo Orchestrator

Execution layer

RoutingApprovalsDeterministic workflowsExternal systems

The operational reality

Four kinds of control operations teams actually need.

Real Salesforce environments are messy. Cases come in unstructured. Queues need monitoring. People move between teams. Mandatory fields aren't always present. SLAs slip when no one's watching. Workflows fragment as automation accumulates.

Ortoo Orchestrator gives operations teams the four kinds of control that map to those realities:

Control over workflow execution.

Work is handled according to a defined workflow, not disconnected automation logic. Execution becomes consistent, traceable, and easier to change.

Control over AI behaviour and cost.

Teams define where AI is used, which models, what AI is allowed to influence, and where deterministic logic takes over. No unbounded AI invocations.

Control over operational outcomes.

Workflows are designed around the outcome, case resolved, lead routed, claim processed, not isolated automation steps. Fewer manual reassignments and routing corrections.

Control over governance and observability.

Every step is visible. Teams see what happened, why, which decisions were made, where AI was used, and what actions were triggered.

From crawl to run

Start with one workflow. Grow into agentic execution at scale.

Most customers begin in the early stages of their agentic AI journey, running pilots, experimenting with copilots, or testing a single agent on a single workflow. Read-only assistance, isolated use cases, lots of learning.

The next stage is where it gets harder: agents start performing real tasks, but execution becomes unpredictable. Multiple agents, different tools, different data sources, fragmentation, governance gaps, runaway cost. Many organisations get stuck here.

That's the gap Ortoo Orchestrator fills. With an orchestration layer in place, AI stops being an experiment and becomes part of the operational fabric, service workflows, sales operations, case handling, all executing in a controlled, governed, predictable way. The first project goes live in weeks. Within a quarter, adjacent workflows follow. Within a year, orchestration spans service, revenue, and cross-system processes, on the same platform.

Cars.com

From email triage to full case lifecycle.

Started with email triage and account identification on inbound dealer cases. Expanded into SLA monitoring, revenue retention detection, and privacy workflows, all on the same infrastructure.

33,600: Hours reclaimed annually
168,000+: Cases processed annually
~100%: Routing accuracy

Assent Compliance

From basic triage to deep capabilities across 16 teams.

Started with AI case triage across 16 dedicated teams handling multi-language, multi-tier support. Expanded into child object reading, AI-driven plug-in actions, and advanced file content extraction, without re-architecting.

120,000+: Records processed in 3 months
16: Use cases orchestrated
15 of 16: Workflows classified as business-critical

Frequently asked questions

Ortoo Orchestrator vs Agentforce, quick answers.

Does Ortoo Orchestrator replace Agentforce, or do they work together?

Ortoo Orchestrator works alongside Agentforce in most customer environments. Agentforce introduces AI agents into Salesforce, typically for conversational front-end interactions. Ortoo Orchestrator coordinates how the work actually executes across those agents, plus routing, approvals, deterministic workflows, and the operational systems Agentforce doesn't reach. Many customers run Ortoo with Agentforce: Agentforce on the surface, Ortoo coordinating execution underneath.

What's the difference between Ortoo Orchestrator and Agentforce?

Agentforce introduces AI agents into Salesforce. Ortoo Orchestrator coordinates how work executes across them, across Agentforce agents, external AI agents, routing, human approvals, integrations, and the systems your operation already runs on. Agentforce focuses on adding agents; Ortoo focuses on controlling end-to-end execution, with work-item pricing and the option to use AI selectively rather than on every step.

Can Ortoo Orchestrator orchestrate Agentforce agents?

Yes. Ortoo Orchestrator coordinates Agentforce agents alongside the rest of the workflow, routing, approvals, deterministic steps, external systems. Agentforce handles its agent's specific job; Ortoo manages what happens before, after, and between agent invocations, so the end-to-end execution stays governed and predictable.

When should I choose Ortoo Orchestrator over Agentforce, and when should I use both?

Choose Agentforce when the primary need is conversational AI agents inside Salesforce. Choose Ortoo Orchestrator when execution complexity, routing, approvals, multi-agent coordination, deterministic workflows, cost predictability, is the harder problem. Use both when Agentforce handles front-end interactions and Ortoo coordinates backend execution across agents, systems, and operational logic.

How does Ortoo Orchestrator's pricing compare to Agentforce?

Ortoo Orchestrator uses work-item pricing, charging per work item handled (a lead, a case, a request, a workflow), while Agentforce charges per AI conversation or per AI action. Work-item pricing means costs scale with operational volume and outcomes, not with AI consumption. Deterministic steps cost nothing. AI is applied where it adds value, not on every step. The result is predictable operational costs that are easier to forecast and budget.

Can workflows run without AI in Ortoo Orchestrator? What about in Agentforce?

Yes, Ortoo Orchestrator supports deterministic workflows that run with no AI invocation, and workflows that combine AI and deterministic steps. Agentforce, by contrast, is built around AI agents and runs AI on every step. With Ortoo, teams use AI where it adds value and deterministic logic everywhere else, controlling both behaviour and cost.

Can Ortoo Orchestrator coordinate AI agents from OpenAI, Anthropic, and Google alongside Agentforce agents?

Yes. Ortoo Orchestrator coordinates AI agents across multiple providers, OpenAI, Anthropic, Google, open-source models, and self-hosted models, alongside Agentforce agents and deterministic workflows. Teams can bring their own LLM provider and API key, and Ortoo coordinates whichever agents are running, regardless of where the AI comes from.

Take the next step

Control how operational work executes across Salesforce.

Across Agentforce, external agents, routing, approvals, and the systems you already run on.

Book a workflow-mapping session

Ortoo Orchestrator works with Agentforce, Salesforce Flow, external AI agents, APIs, ISV applications, and legacy systems. Available natively in your Salesforce org, no external infrastructure required.