Voice AI • Conversational AI • CPaaS • CCaaS • Enterprise SaaS

Alrazi Bashir

Enterprise Account Executive

I sell technical AI and communications platforms into Fortune 1000 accounts. I run complex sales cycles from technical discovery and proof of value through executive alignment, procurement, and multi-year close.

$1.2M
Annual Quota
$65K to $550K
ACV Range
6 to 10 months
Sales Cycles
15+
Multi-Year Agreements
102%
Peak Attainment
View Deal RecordResumeLinkedIn

Career

Commercial experience across the Voice AI and CX stack

2019 to 2021

Cloud Communications & CPaaS

2023 to 2024

CX Assurance & Conversational AI

2025 to Present

AI Voice Infrastructure & Telephony

The progression: communications infrastructure → CX assurance → production Voice AI.

Enterprise Wins

Enterprise Wins

Multi-stakeholder buying groups, technical discovery, and multi-month commercial cycles across all three.

Voice AI Infrastructure

Competitive carrier replacement for AI voice automation

Fortune 500 technology enterprise

$285K ARR
ARR
$855K TCV
TCV
8 months
Cycle
3-year
Term

Challenge

Enterprise customer needed production-grade voice infrastructure to support a new AI voice automation initiative. Legacy carrier could not meet latency, routing, or failover requirements.

Sales Motion

Led discovery across SIP architecture, PSTN routing, latency thresholds, failover topology, and carrier economics. Multithreaded engineering, IT, operations, and the economic buyer before engaging commercial leadership.

Outcome

Displaced the incumbent. Delivered a programmable telephony layer that enabled the AI deployment. Closed a three-year committed agreement.

Conversational AI and CCaaS Assurance

De-risking a cloud contact center and conversational AI migration

Insurance enterprise, large contact center operation

$180K ARR
ARR
$360K TCV
TCV
7 months
Cycle
2-year
Term

Challenge

Mid-migration from legacy IVR and on-premise contact center to cloud CCaaS. No automated regression coverage for IVR or conversational AI flows. Production risk tied to regulatory exposure.

Sales Motion

Engaged QA and CX operations leadership to map the testing gap. Connected production risk to regulatory exposure in the insurance context. Built the commercial case with VP CX as the economic buyer.

Outcome

Closed a two-year assurance agreement timed to the migration go-live. Eliminated manual regression testing across IVR and conversational AI flows.

Programmable Contact Center Modernization

Enterprise contact center modernization for financial services

Financial services organization, 400-seat contact center

$120K ARR
ARR
$240K TCV
TCV
6 months
Cycle
2-year
Term

Challenge

Aging on-premise contact center with no digital channel capability and limited CRM integration. VP of Customer Operations needed a modernization path without a full rip-and-replace.

Sales Motion

Technical discovery covered CRM integrations, agent desktop requirements, digital channel roadmap, and carrier interconnect. Built a phased architecture with the engineering team that reduced risk and enabled a pilot approach.

Outcome

Deployed across 400 seats with CRM integration and digital channel enablement. Two-year agreement structured with a pilot that converted to full commitment at month four.

Technical Depth

Technical enough to sell the architecture

I study the products I sell. These projects exist to understand how Voice AI systems are built, deployed, and fail in production.

Razor Voice

Deepgram • Telnyx • ElevenLabs

View Project

Experimental real-time Voice AI pipeline exploring speech recognition, telephony orchestration, and text-to-speech. Built to understand latency constraints, failover behavior, and production reliability requirements from the inside.

Pipeline Architecture

Inbound call
Telnyx SIP
→
Speech-to-text
Deepgram ASR
→
LLM reasoning
Orchestration
→
Text-to-speech
ElevenLabs TTS
→
Voice output
Telnyx PSTN

Enterprise Voice AI Architectures

Research and frameworks

View Work

Practical frameworks covering latency budgets, failure modes, production reliability, and AI evaluation for enterprise contact center deployments.

Latency budgets in real-time Voice AI

ASR, LLM, and TTS latency thresholds for production deployments

Failover and reliability architecture

Carrier redundancy, fallback routing, and SIP trunk design

AI evaluation for contact centers

LLM validation, regression testing, and QA automation frameworks

Voice AI

Speech recognition • TTS • AI agents • Latency • Audio quality

Communications infrastructure

SIP • PSTN • CPaaS APIs • Routing • Failover • Carrier economics

Contact center

Genesys Cloud • Amazon Connect • Twilio Flex • IVR • QA • Monitoring

Enterprise buyers

Engineering • Product • IT • CX • Contact Center • Operations • C-suite

Sales Process

How I run an enterprise deal

MEDDPICC-aligned. Built for technical products and complex buying groups.

01
Discover

Architecture, business pain, current environment, operational risk, integration requirements.

02
Qualify

MEDDPICC, economic buyer, decision criteria, competitive landscape, commercial reality.

03
Validate

Proof of value, technical success criteria agreed in writing, engineering alignment.

04
Align

Business case, executive sponsorship, measurable outcomes, procurement path.

05
Close

Pricing, legal, security, InfoSec, procurement, forecast discipline, multi-year structure.

Building an enterprise sales team in Voice AI, Conversational AI, CPaaS, CCaaS, or Enterprise AI?

I am currently evaluating Enterprise AE and Strategic AE opportunities with technical products, large enterprise customers, and complex sales motions.