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SofiaHelp

Voice-based practice with realistic AI clients, structured feedback, and institutional review workflows for counseling training.

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Pilot & institutional pricing

Run a pilot that ends with a decision

Start with a defined cohort, one training objective, faculty-owned success criteria, and a documented data boundary. SofiaHelp builds a custom quote around the scope your program actually needs.

Runs alongside your current curriculumFaculty-defined measuresCustom cohort quote

Get a Pilot Scope

Share the cohort and decision you need to make. We’ll return a recommended scope and custom quote.

We typically respond within 24 hours

Choose the decision

Two starting scopes, one disciplined rollout

Timeline follows the question. A workflow diagnostic tests operational fit quickly; a learning pilot needs enough time and repeated practice to observe development.

30-day workflow diagnostic

Can this fit our course and supervision process?

  • One course, lab, or trainee group
  • Defined scenario set and practice assignment
  • Faculty review of selected session evidence
  • Adoption, usability, workload, and implementation findings
  • Go, revise, or stop recommendation
8-week learning pilot

Does repeated simulation support our training objective?

  • Baseline and end-of-pilot task using the same target skill
  • Planned practice cadence across varied realistic AI clients
  • Program-selected rubric or observable criteria
  • Learner experience tracked separately from performance
  • Faculty interpretation and rollout recommendation
Pilot sequence

What happens from inquiry to decision

1

Discovery

Confirm the cohort, course context, pain point, decision owner, and target date.

2

Review

Align on acceptable use, data handling, faculty access, and any procurement requirements.

3

Configuration

Select simulated scenarios, practice cadence, review workflow, and learner communication.

4

Evaluation

Read adoption and learning evidence together, document limitations, and decide next scope.

Custom pricing

What determines an institutional quote

We do not publish a made-up per-student price that ignores implementation. The quote is built from the actual cohort and service scope, then confirmed before launch.

Cohort size
Number of learners, faculty reviewers, and administrative users in scope.
Usage model
Expected simulation frequency, session volume, and duration of access.
Implementation
Onboarding, training, scenario mapping, support, and reporting expectations.
Review scope
Security, privacy, contracting, accessibility, and program-specific documentation.
Rollout length
Short diagnostic, learning pilot, academic term, or broader annual deployment.
Deliverables

What your team should have before launch

One-page pilot charter

Owner, cohort, objective, scope, timeline, success measures, known limitations, and final decision date.

Learner & faculty workflow

What students practice, what faculty review, how debrief happens, and where human judgment is required.

Data & acceptable-use boundary

Account roles, intended session data, no-real-client-data instruction, retention questions, and open review items.

Not included by default: claims of accreditation alignment, automated competency certification, replacement of supervised clinical hours, or guaranteed learning outcomes.

Want to explore before a program conversation?

Review the product workflow and browse the public client profiles first.

Explore the productRead practice guides