BlastrAI.
Consent-based AI voice follow-up for US revenue teams

Follow up with opted-in US leads while intent is still high.

Qualify inbound enquiries, record the outcome, book or transfer the next step and send approved SMS or email follow-up through the deployment workflow.

For opted-in or otherwise lawfully callable leads. No unrestricted AI cold-calling claim.

01Lawful leadform · API · approved list
02AI voice callidentify · qualify · record
03Human next stepbook · hand off · follow up

AI-native GTM platform

Turn leads into customers with autonomous AI agents.

Deploy AI agents that engage permitted leads, understand intent, qualify opportunities, follow up through configured campaigns, and move every conversation toward a clear next action.

Built for opted-in or otherwise lawfully callable leads.

GTM agent activeLead 0148
New inbound leadHigh intent detectedDemo request · 2 min ago
Voice conversationQualifying need and timing
Context captured
NeedSales follow-up
TimingThis quarter
Next stepHuman review
You already have the leads.BlastrAI helps you work them.
Consent firsta website demo record must exist before a call is requested
CSV + APIlead intake patterns present in the current product
Structured recordscall outcomes and provider-returned transcripts can be reviewed
Role-gatedcustomer and administrator access are separated

Repository-verified product behavior only; no unverified volume, uplift, launch-time or latency metric.

The conversion gap

Most teams do not need another source of leads.

They need a reliable way to engage the demand already sitting in forms, lists, and follow-up queues.

Your funnel already contains
the signals to act on.

BlastrAI turns permitted lead data into a controlled execution queue.
Permitted lead sources
CSVInbound_demo_requests.csvAPIWebsite form submissionsCSVDormant_opted_in_leads.csv

Inbound conversion playbookBuilt from the approved objective and lead fields

5 actions
  1. Prioritize fresh intentMove recent enquiries to the front of the queue.

    Ready
  2. Start the voice conversationIdentify the agent and represented business.

    Active
  3. Understand need and timingAsk the approved qualification questions.

    Next
  4. Capture the outcomePrepare the available context for review.

    Queued
Active leadLead 0148
NEXT ACTION

Engage while the demo request is still fresh.

Lead record accepted

Audience basis attached

Agent variables mapped

Lead context preparedSource · intent · agent variables · campaign objective

Response starts too lateA high-intent form fill waits in a queue while the reason they reached out gets colder.Follow-up runs outGood leads disappear after one or two attempts because the team has more conversations than time.Context gets fragmentedWhat a lead asked, objected to, or wanted next lives across notes, calls, and individual memory.Reps triage the funnelPeople focus on the loudest opportunities, leaving a long tail of real demand untouched.

Campaign proof

Built in the field before it became a platform.

An early event campaign used AI voice to qualify inbound interest and move positive-intent leads toward ticket purchase.

Voice execution15,000

Approximately 15,000 AI call minutes processed for the campaign.

Commercial outcome30%

Customer-reported revenue increase during the campaign period.

Anonymous event campaignLead-to-purchase workflow

Completed
  1. 01

    Interest capturedInbound advertising enquiries entered the approved call queue.

  2. 02

    Intent qualifiedAI voice conversations identified positive purchase intent.

  3. 03

    Purchase path sentQualified leads received the configured ticket-purchase link.

  4. 04

    Outcome measuredThe customer reported higher revenue during the campaign period.

Real campaign experienceThe customer remains anonymous. Past performance is not a guarantee of future results.

Customer results

Proof is published only when it can be defined.

No US customer result is published without an approved customer reference and a defined, reproducible measurement method.

  • Audience basis and customer permission
  • Metric threshold and baseline
  • Cohort, period and sample size
Call evidence
Publication review

No relabelled or permission-unclear audio.

No US-English sample is labelled as real until a genuine US recording, permission record and approved transcript are available.

Request one AI-voice demo call

The autonomous GTM agent

One agent.
Every lead.
Every next step.

BlastrAI is being built as an execution layer for the funnel—not a one-off call bot. It gives a defined objective to an AI agent, lets it conduct the approved conversation, and turns the result into usable context for what happens next.

Available todayVoice campaigns, lead variables, configured retries, call status, and structured records.
Platform directionContinuous, context-aware engagement across more of the lead lifecycle.

03 Qualification and decision

The agent turns the conversation into a usable next step.

Agent runbookObjective: qualify the inbound enquiry

In progress
  1. Identify needFaster lead follow-up

  2. Confirm timingImplementation this quarter

  3. Choose next actionHuman review or configured workflow

Conversation summaryPrepared for human follow-up

Ready
Need
Faster lead follow-up
Intent
Evaluating this quarter
Next step
Technical fit call

Handoff preparedSummary · intent · requested next step

Human judgment stays in the loopSensitive or unexpected moments remain team-owned.

How it works

From permitted lead to accountable next action.

The source of a lead is recorded separately from permission to call. Enrichment alone is never treated as consent.

01

Connect lawful leads.

Send a lead from a form or API, or import a list with the required audience source, consent and campaign data.

Audience · call · next action
02

Blastr calls and qualifies.

The approved opening identifies the AI voice and represented business, handles bounded questions and records structured outcomes.

Audience · call · next action
03

Your team gets the next action.

Move a qualified lead to the agreed meeting, human handoff or follow-up workflow, with the available call context attached.

Audience · call · next action

How BlastrAI works

From lead intake to an accountable next action.

Today, BlastrAI connects lead intake, AI voice execution, structured outcomes, and human review. The broader product direction is to keep more of that lifecycle moving autonomously.
  1. 01

    Connect

    Bring in permitted leads through CSV import or the current API intake pattern.

  2. 02

    Engage

    Launch a voice agent against an approved audience, objective, and conversation boundary.

  3. 03

    Understand

    Capture provider-returned conversation context, answers, and objections when available.

  4. 04

    Qualify

    Ask consistent questions and record a structured outcome for each completed interaction.

  5. 05

    Decide

    Give the team the available context for the agreed human or configured workflow step.

  6. 06

    Improve

    Review campaign records and refine the next controlled deployment.

The lead lifecycle

A lead should keep moving after the first touch.

The lifecycle below is the platform vision. Current deployments center on voice engagement, qualification, campaign retries, structured records, and a defined next action.

Lead 0148Inbound demo request

In motion
01

Enquiry acceptedDemo request

02

Conversation liveVoice agent

03

Signals capturedNeed + timing

04

Sales handoffTechnical fit call

One continuous lead recordContext travels with every next step

03 Qualification recorded

The signal is clear before a rep steps in.

Qualification resultBased on the approved campaign questions

High intent
Need
Respond to enquiries faster
Timing
Implementation this quarter
Fit
High-volume inbound team

Lead qualifiedApproved criteria met · human review requested

04 Qualified handoff

The next person starts with the story.

Conversation summaryPrepared for human follow-up

Ready
Need
Faster lead response
Owner
Revenue team
Next step
Technical fit call

Handoff preparedSummary · owner · requested next step

Now: voice-led qualification and campaign executionDirection: persistent, context-aware GTM orchestration

02 Live qualification

One conversation becomes the next action.

Maya · BlastrAI voice agentSpeaking with Lead 0148

03:18

AgentWhat would better follow-up change for your team?

LeadWe need to respond while demo intent is still high.

Need
Faster lead response
Timing
This quarter
Intent
High

Intent capturedNeed, timing, and requested outcome added to the lead record

Voice is a core channel

Voice built into your GTM engine.

Reach permitted leads with real-time AI conversations at a scale a human-only team cannot match. The call is the interaction layer; the objective, qualification logic, context, and next action are the system around it.

  • List-based outbound campaigns
  • Lead-level variables for relevant conversations
  • Approved qualification and objection handling
  • English, Hindi, and Gujarati in the current India proposition
Experience the voice agent
Outcomes, not feature clutter

One controlled workflow for the moments that move a lead forward.

For United States, the pilot is scoped around approved SMS or email follow-up where configured. Availability is confirmed before the campaign goes live.

Inbound form follow-upDemo-request qualificationBooking and human transfer

Language availability: US-English availability is confirmed during scoping; no US sample is published without a genuine approved recording.

Respond while intent is high.

Follow up with an opted-in enquiry promptly instead of waiting for a representative to become available.

Qualify consistently.

Ask the approved questions, answer bounded objections and capture the agreed outcome for the next step.

Keep humans on valuable moments.

Route qualified, sensitive or unexpected conversations to a person with the available context.

Where it fits

Built for teams with more lead volume than follow-up capacity.

For United States, current pilot use cases include inbound form follow-up, demo-request qualification, booking and human transfer.

Inbound lead qualification

Respond to permitted new enquiries while their intent is still high.

Outbound engagement

Work an approved lead list through a controlled voice campaign.

Lead reactivation

Revisit dormant, lawfully callable leads with a relevant reason to reconnect.

Persistent follow-up

Configure campaign retries and next actions so a missed call is not the end of the workflow.

Meeting qualification

Capture fit and intent before the right opportunities reach your team.

Human handoff

Pass valuable or sensitive moments to a person with the available call context.

Workflow fit

Start with the lead sources the product supports.

Integration labels reflect the current repository, not theoretical API possibilities.

Available today

CSV list import

Upload contact fields, map data, launch a campaign, and review returned call records in BlastrAI.

Available today

API + status webhooks

Use the current HTTP lead-intake pattern and voice-provider status processing to connect an agreed workflow.

Platform direction

Broader GTM stack

Native CRM, calendar, email, and SMS integrations are part of the broader direction and are not presented as shipped here.

Integrations

Works with the tools your team already uses.

Categories are based on the current repository and roadmap. No logo is shown merely because a theoretical API connection could be built.

Native today

CSV import + Blastr dashboard

Upload name and phone fields, launch through an assigned voice agent and review returned call records.

API / webhooks today

Lead intake + status events

HTTP lead intake, call-status webhook handling and voice-provider history synchronisation are present in the product.

Planned — not native

HubSpot, Salesforce + calendars

CRM, calendar, SMS and email work appears only in the roadmap and is not represented as a live native integration.

Why BlastrAI

More coverage for the funnel. More focus for the team.

01

Every permitted lead gets attention

Campaign execution is not limited by how many calls a rep can make in a day.

02

The process stays consistent

Approved questions, disclosures, and outcomes are defined before launch.

03

Conversation context is reviewable

Status, duration, outcome, and provider-returned transcript or recording references can be reviewed when available.

04

Humans keep the moments that need judgment

Blastr handles bounded execution; your team keeps commercial and relationship ownership.

Security & consent

Consent and control are explicit in the website demo flow.

Blastr is designed to support controlled calling, but customers remain responsible for their campaign, lawful basis, scripts and applicable sector, state or country rules.

Separate, unchecked demo permissionA call is blocked unless the exact disclosure is accepted and stored first.
Auditable request recordSubmission ID, time, phone, page, market, disclosure version and request context are retained.
Role-gated application accessCustomer and administrator routes enforce separate authenticated access.
Product limits stated plainlySuppression, local-time windows, opt-out, retention and handoff are not claimed as universal until verified per deployment.
Pricing

Start with a paid, controlled pilot.

US pilots are quoted in USD after setup, connected-minute allowance, telephony, overages, support and tax treatment are approved.

Growth · USD

Managed production deployment.

Optimization, reporting and a defined monthly allowance are priced after pilot acceptance.

Priced after pilot reviewDefine acceptance criteria
Enterprise

Procurement and support scope.

Higher-volume terms, support and security options are included only where the product and contract support them.

Custom scopeContact the commercial owner

Every quote states setup, telephony, connected-minute allowance, overages, tax, support and integration scope before signature.

Start with a controlled deployment

One agent. One workflow. Clear acceptance criteria.

Every pilot starts from one approved audience and one workflow, and only scales once the agreed criteria are met.

  • Approved audience and objective
  • Defined usage and integration scope
  • Review before production scale
Scope a paid pilot
Deployment

Control the pilot before you scale it.

No unverified launch-time SLA is published. Timing starts only after required data, access and approved scripts are received.

  1. 01

    Define the permitted audience, script boundaries, outcomes and integration.

  2. 02

    Configure and test the agent against real objections and failure cases.

  3. 03

    Launch to a controlled pilot cohort after inputs and approvals are received.

  4. 04

    Review permitted records, tune the workflow and scale only after acceptance criteria are met.

Market FAQ

Know the operating boundaries before you launch.

Specific answers for United States. General information only, not legal advice. The customer and counsel approve the production campaign.

How are US calling rules handled?

A deployment review covers the audience source, required consent, federal and state do-not-call rules, recipient-local calling windows, caller identification, AI disclosure and opt-out handling. Blastr does not provide a blanket compliance guarantee.

FTC Telemarketing Sales Rule guidance
Do AI-generated voices fall within US robocall restrictions?

The FCC has stated that restrictions on artificial or prerecorded voices apply to AI-generated voice technologies. Campaign-specific consent and disclosure requirements should be reviewed by counsel.

FCC Declaratory Ruling 24-17
Does Blastr support unrestricted AI cold calling?

No. Blastr is positioned for opted-in or otherwise lawfully callable audiences. Each customer remains responsible for the lawful basis, campaign audience, script, consent language and sector or local rules.

Is every call recorded?

No. Recording and transcription must be configured for the campaign and jurisdiction. The dashboard can show a recording or transcript when the voice provider returns one, but this site does not claim that every call is recorded.

Which languages are represented today?

The existing India proposition is tested around English, Hindi and Gujarati. No page claims every language, and regional language availability is confirmed during pilot scoping.

Put every good lead in motion

Stop letting intent go cold.

Deploy an AI agent for your permitted leads and give every conversation a clear next action. The pilot form covers your permitted audience and workflow. The call form asks for separate, one-call permission.