One AI system across
voice, SMS and email.
On top of the engine sits the agent platform: one AI system that understands intent in real time, holds one continuous conversation with one memory across channels, and takes action inside existing business systems.
Qualifying leads, answering questions, booking meetings, resolving issues, updating the CRM, triggering workflows, and handing off to a human when it should.
We need a better way to qualify outbound leads.
Start with the questions that decide whether a meeting is worth booking.
What happens when the answer is outside what we approved?
I hand it to a person instead of inventing an answer.
That's the application story. The identity underneath is the runtime.
One agent, any channel,
complete workflows.
Outbound calling, qualification and booking run on one thread across calls, texts and emails.
The engine speaks before
the pipeline would finish waiting.
Human turn-taking sits around 200 ms. A typical third-party pipeline waits about 1,500 ms before speech begins; Alebex puts out its first word at 500 ms while the full answer completes by 1,500 ms. Roughly 500 ms perceived with our dual-model response system, currently in development.
The full Alebex answer completes by 1,500 ms; the quality check never sits in front of the voice.
The channel changes.
The conversation does not.
A qualification call becomes a text confirmation and then an email. Intent, criteria and the next action move with the prospect because all three surfaces resolve to one memory.
Continuity, not reconstruction.
Each surface opens with the context created on the one before it. The agent advances the work instead of asking the prospect to repeat it.
We need to follow up with new leads, qualify fit, and book the right ones.
Start with the decision point: what makes a lead ready for a meeting?
The use case and timing have to fit. Send the next question by text.
I will continue there with the criteria from this call attached.
Voice / the prospect sets the qualification criteria
Picking up from our call: the use case and timing decide whether a meeting is ready to book.
Send anything outside our approved answers to a person.
Understood. I will qualify and book inside those criteria, then hand off what falls outside them.
That matches the workflow. Confirm the plan by email.
Confirmed. The email will continue this thread.
SMS / the handoff condition joins the same record
Following our call and messages, the qualification criteria are use case and timing. Requests outside approved answers go to a person.
Correct. Include the booking and handoff plan.
The agent will book when the criteria are met and hand off when they are not. This email closes the thread that started on voice.
Confirmed.
Email / one summary closes the voice-to-message thread
Every missed conversation
is lost revenue.
Response windows are shrinking.
Channels are fragmented.
Demand is 24/7 while human teams are not.
Enterprise AI must stay inside approved answers and workflows.
Everything in the platform
The runtime survives production
Evidence the runtime survives a real, revenue-bearing workflow.
"Honestly, I didn't expect this level of result. We tried it, the numbers were good, and now it runs 100% of our Meta lead outreach."
The platform feels unified because the engine underneath it is unified.
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