One workflow. Room to grow.

Swarm Commander for Salesforce.

Built for IT service firms selling high-value projects. A coordinating agent delegates lead organization, Salesforce record preparation, and follow-up drafting to specialist agents. Your team approves customer communications and pricing.

Try the sample demo

From inquiry to a reviewed sales handoff

Commander → Lead specialist → CRM specialist → Follow-up specialist → Human approval.

Implementation includes workflow discovery, customer-specific integration, sandbox validation and a staged rollout. Ongoing support is scoped separately.

The demo uses sample data. Salesforce connectivity is configured and tested per customer; no production connection is active in this demo.

1 agent

Focus

Custom quote after consultation

One bounded workflow and one primary integration.

Discuss Focus →

2 agents

Team

Custom quote after consultation

Two coordinated roles within one business workflow.

Discuss Team →

3 agents

Department

Custom quote after consultation

A departmental workflow with integrations and approvals.

Discuss Department →

4–6 agents

Operations

Custom quote after consultation

Several connected workflows with broader operating scope.

Discuss Operations →

7–10 agents

Enterprise Swarm

Custom quote after consultation

Custom multi-role architecture, assessment and staged handoff.

Discuss Enterprise Swarm →

Indicative project ranges, subject to discovery and a written scope. Hosting, model usage, recurring operations and third-party services are priced separately. Agent count alone does not determine project value.

A consistent security foundation

Every production package is scoped for customer isolation, restricted credentials, externally enforced permissions, logging, recovery, and approvals for sensitive actions. Assessment depth depends on the workflow and risk.

A private cloud environment is not necessarily physically dedicated hardware. No system is risk-free. We document the actual controls and operating responsibilities before launch.

From discovery to deployment

Define the outcome → Build a sample-data pilot → Validate quality and security → Approve a staged rollout. Model choices are evaluated for compatibility, data handling and cost; upgrades are tested before release.

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