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AI Phone Genius

Every AI call should know what happens next.

AI Phone Genius gives invited teams one bright operating layer to configure, rehearse, run and review voice workflows—while keeping consent, provider, tool and real-call acceptance gates visible.

Apply for beta access See the selected V1Invite-only · mock-first

Applying creates no account, phone number, scheduled call, automatic contact, or charge.

A guarded path to a real call

Synthetic workflow demonstration

Mock-first
01

Configure

Agent, voice and tools

Workspace-owned

02

Guard

Consent, windows and DNC

Code-enforced

03

Connect

Existing provider number

Separately gated

04

Accept

One monitored real call

Human-approved

Configuration is not provider acceptance. The final gate stays human-controlled.

The whole calling operation, minus the console feeling.

Sophisticated controls stay intact. The experience translates them into a business-readable sequence of decisions, state and evidence.

Configure → guard → operate → review

One visible operating model follows the workflow from an owner’s intent to durable call evidence.

Voice agents you can configure and review

Start from reviewed templates, tune prompts and analysis fields, and rehearse locally before a provider-backed call.

Bound tools and local knowledge

Use inventory, availability, booking and cold transfer only when each selected tool is configured and succeeds.

Contacts and guarded campaigns

Manage consented audiences, internal DNC and contact-local windows with ambiguous-call recovery.

Call review and operational analytics

Inspect lifecycle state, recordings, transcripts, outcomes, scorecards, wallboards, exports and notifications.

Owner, team and client access

Workspace roles, platform administration, tenant isolation and a read-only client portal support guided onboarding.

Evidence and recovery built in

Audit history, mode separation, durable Postgres, deployment barriers, backup, restore and rollback protect the release.

Trust is a visible operating layer.

Enterprise confidence does not come from a single green badge. It comes from keeping identity, safeguards, execution and evidence distinct enough to inspect.

Review the security model

One call, four accountable boundaries

Each layer answers a different question. None substitutes for provider or human acceptance.

  1. Identity boundary

    Workspace roles and tenant isolation decide who can see and change each operating surface.

    Boundary 1

  2. Operating boundary

    Consent, internal DNC and contact-local calling windows remain visible constraints—not buried settings.

    Boundary 2

  3. Execution boundary

    Simulation, provider configuration and monitored-call acceptance stay separate states.

    Boundary 3

  4. Evidence boundary

    Lifecycle state, audit history and durable post-call effects preserve what the system actually observed.

    Boundary 4

A beta path with real gates.

Access, configuration and provider acceptance are related—but never collapsed into one misleading “ready” state.

  1. 1

    Submit a beta-access application for manual review.

  2. 2

    If the use case fits, complete owner-led onboarding into a mock-first workspace.

  3. 3

    Configure truthful agent, number, knowledge, calendar and transfer facts.

  4. 4

    Approve and monitor any real provider call as a separate acceptance step.

Intentionally later.

Leaving these capabilities outside the public V1 keeps the promise smaller and the acceptance evidence honest.

  • Public web chat and two-way SMS
  • Public REST API and customer API keys
  • Native CRM and shared-calendar synchronization
  • Self-serve subscriptions, top-ups and auto-recharge
  • Generic/custom webhook tools and outbound webhook delivery

Questions worth asking before a call.

Can anyone sign up?+

No. The beta is invite-only. The public application is saved for manual review and does not create a workspace, send access, or guarantee a response.

Are prices published?+

No. Public pricing and self-serve checkout are closed during beta. Any accepted scope and commercial terms are shared privately.

Does the beta immediately place real calls?+

No. Onboarding is mock-first. Real calling needs an accepted workspace, configured Retell stack, exact recipient consent, disclosure, legal approval, cost approval, and a monitored acceptance call.

Are calendar booking and phone transfer automatic?+

Only when the selected agent has the exact tool configured and that tool returns success. The agent must not claim a booking or transfer from prompt text alone.

Help shape a more understandable way to operate AI calls.

Tell us what your workflow needs to prove. Applications are reviewed manually, and follow-up happens only when there is a fit.

Apply for beta access