Vetted Faculty · Workforce AI

Enterprise Workforce AI Pricing Guide

Enterprise buyers do not expect a shopping-cart price for autonomous agent deployment; they expect a straight answer about how the investment is structured and what drives it up or down. Most vendors hide that behind "contact sales." This page is the straight answer, and then you can contact sales.

How is Workforce AI priced?

Engagements have two components:

Deployment investment. The work of Phases 1 through 4 in the implementation process: scoping, agent design, integration, and supervised pilot. Priced per deployment based on the drivers below.

Operating investment. Ongoing agent operation: monitoring, guardrail tuning, model and knowledge updates, and support, priced by operating model (fully managed by us, or operated by your team with our oversight) and by workload volume.

What drives the price?

Four factors dominate: workload complexity (a single call flow versus a multi-step financial process), integration depth (modern APIs versus layered legacy systems), governance requirements (regulated functions carry heavier design and evidence obligations, per the security and compliance framework), and scale (volumes, business units, and the number of capabilities deployed).

What scale of investment should you expect?

Workforce AI is an enterprise program, not a software subscription: the investment is sized against the fully loaded cost of the workload it automates, and it competes for budget with hiring plans, not tool budgets. If the function you want to automate costs less than a few salaries a year to run, agents are probably premature; start instead with the AI Faculty's workshops and build readiness first. If the workload consumes teams, the economics get compelling quickly; run your own numbers in the ROI calculator.

Why do the economics work?

Because agents are priced against labour, and labour is the largest line item in every function they touch. A deployment that removes queue-processing from a team does not just save its hours; it removes the hiring, training, and turnover cycle attached to growth in that function. Documented returns are in the case studies.

How do you get a real number?

Scoping produces it. Request a consultation; Phase 1 ends with a deployment blueprint that includes your actual pricing, phase by phase, before you commit to anything beyond scoping.

Frequently asked questions

Is there a pilot-only pricing option?

The deployment investment is structured around phase gates, and the pilot gate is a genuine exit point; you pay for the phases delivered, not a bundled leap of faith.

Are there licensing or per-seat fees?

No per-seat model; agents are priced by workload and operating scope. Third-party costs in your stack (telephony, model usage, platforms) are itemized transparently in the blueprint.

Does pricing change as agent autonomy expands?

Operating investment scales with volume and scope by an agreed schedule, so expansion is a planned line, not a renegotiation.