AI SMS marketing features for businesses seeking efficient lead management to automate workflows and accelerate revenue growthAI SMS marketing features for businesses seeking efficient lead management to automate workflows and accelerate revenue growth
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SALESMSG: Automating SMS marketing with AI

SALESMSG: Automating SMS marketing with AI

NEKLO accelerated Salesmsg’s market growth by integrating a comprehensive suite of conversational AI features into their SMS marketing platform. Custom texting agents and an automated compliance checker helped to eliminate onboarding bottlenecks for high-volume clients and achieved a 10x surge in feature adoption.

The Walking company:
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About the client

Salesmsg is a global SMS marketing and business communication platform that enables organizations to manage scalable two-way text messaging and voice calls, with automated communication workflows to streamline customer engagement.
Country:
USA
Industry:
Marketing
Duration
2020 – ongoing
Country:
USA
Industry:
Marketing
Duration
2020 – ongoing
Model:
B2B/SaaS
Team size:
3 product managers, 7 front-end developers, 12 back-end developers, 3 DevOps, 2 mobile developers, 14 QA engineers, 2 designers
Key technologies:
PHP, Laravel, Python, Node.js
See all

Client’s challenge

As Salesmsg expanded its footprint from small businesses to Tier 1 and Tier 2 enterprise clients, the platform faced new operational and scaling pressures. Managing high-volume business messaging required navigating complex regulatory environments while satisfying an accelerating backlog of sophisticated feature requests.

User feedback aggregated through their public roadmap on Canny, combined with incoming customer support tickets, indicated a sharp demand for advanced workflow automation and intelligent communication tools. To maintain its competitive edge in the MarTech ecosystem, Salesmsg needed to eliminate onboarding bottlenecks for enterprise clients and capitalize on emerging generative AI capabilities.
  • Carrier compliance and registration bottlenecks
  • Unfulfilled automation demand
  • AI trend capitalization
  • Scalability constraints via manual processing

Solution

To transform Salesmsg’s AI text messaging marketing capability and unlock enterprise-level scale, NEKLO deployed a modular generative AI ecosystem integrated directly into the platform’s core architecture. We focused on automating critical messaging workflows, optimizing administrative compliance, and building conversational agents capable of managing both textual and vocal customer touchpoints.

Automated compliance checker

Designed to solve carrier registration bottlenecks, this feature uses automated prompts to generate precise business descriptions for compliance submissions. The AI pre-screens submissions to eliminate manual errors, reducing rejection rates by up to 40% and drastically accelerating the brand and phone number approval pipeline for high-volume enterprise clients.

Autonomous calling agents (Beta)

Integrated directly with Salesmsg inboxes, this voice feature handles incoming calls using customizable templates and prompt-driven greetings. The conversational AI captures initial caller data, answers inquiries, routes complex escalations, references secure internal knowledge bases, and takes detailed notes for reps.

Custom texting agents

These prompt-customizable bots autonomously manage inboxes, schedule meetings via Calendly, handle follow-ups, and log customer data across the CRM such as HubSpot. They plug right into internal knowledge bases (PDFs, CSVs, websites) and can be paused or taken over seamlessly by sales representatives. There is also a simulated testing environment for reliable optimization.

AI texting assistant

This generative AI text assistant accelerates sales workflows by analyzing real-time customer communication loops. The feature evaluates contextual message history to provide sales representatives with conversation summaries that allow them to quickly catch up on customer context and respond accurately without manually auditing historic dialogue.

Process

With our expertise in high-load MarTech engineering and conversational AI, we implemented a three-step strategy to enhance Salesmsg’s product with AI SMS marketing features.

1. Feedback auditing & architectural mapping

We analyzed Salesmsg’s public Canny roadmap and customer support tickets to isolate and prioritize user demand for automated workflows. Concurrently, we audited carrier registration logs to map out the technical architecture required to eliminate onboarding friction and phone number compliance rejections for enterprise clients.

2. Contextual AI engineering & agent training

Our team built the generative AI backend to process multi-source knowledge bases (such internal PDFs, CSVs, or company websites) and handle contextual, real-time message history. We then engineered prompt-customizable texting agents integrated directly within the platform's CRM to facilitate seamless conversation handover between human sales reps and autonomous bots.

3. Voice automation & simulation validation

With text capabilities established, we deployed the autonomous calling agents in beta to manage voice inboxes using customizable routing templates. Finally, we built simulation testing environments, so the users could dry-run and optimize agent behaviors before putting them live into the automated compliance and messaging pipelines.

1. Feedback auditing & architectural mapping

We analyzed Salesmsg’s public Canny roadmap and customer support tickets to isolate and prioritize user demand for automated workflows. Concurrently, we audited carrier registration logs to map out the technical architecture required to eliminate onboarding friction and phone number compliance rejections for enterprise clients.

2. Contextual AI engineering & agent training

Our team built the generative AI backend to process multi-source knowledge bases (such internal PDFs, CSVs, or company websites) and handle contextual, real-time message history. We then engineered prompt-customizable texting agents integrated directly within the platform's CRM to facilitate seamless conversation handover between human sales reps and autonomous bots.

3. Voice automation & simulation validation

With text capabilities established, we deployed the autonomous calling agents in beta to manage voice inboxes using customizable routing templates. Finally, we built simulation testing environments, so the users could dry-run and optimize agent behaviors before putting them live into the automated compliance and messaging pipelines.
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Technologies

Front-end

React
TypeScript
React Native

Back-end

PHP
Laravel
Python
Node.js
TypeScript
Go
PostgreSQL
MySQL
DynamoDB
Redshift
AWS Amazon OpenSearch Service
ELK Elasticsearch
AWS ElastiCache
Redis
Apache Kafka
RabbitMQ
AWS SQS

DevOps / Infrastructure

AWS EC2
AWS RDS
AWS EKS
AWS Lambda
AWS S3
AWS DynamoDB
AWS SQS
AWS ElastiCache
AWS Amazon OpenSearch Service
Redshift
AWS BedRock
AWS Transcribe
AWS DMS
AWS KMS
Amazon VPC
AWS CloudWatch
Kubernetes
Jenkins
Terraform
Cloudflare
Prometheus
Grafana
ELK Stack
Sentry
DataDog
Metabase

Deliverables

01
Generative AI text assistant integration
02
A2P 10DLC compliance pre-screening system
03
Prompt-based custom texting agents architecture
04
Multi-source knowledge base data pipeline (PDF, CSV, URL)
05
Autonomous calling agents voice engine (Beta)
06
CRM-integrated agent pause and handover controls
07
Real-time conversation history context analysis engine
08
Agent interaction simulation and testing environment

Results

The implementation of generative AI features helped Salesmsg clients eliminate onboarding issues. By automating complex regulatory workflows and communication channels, NEKLO provided the platform with the technical scalability required to capture significant enterprise market share.
Today, Salesmsg's automated agent ecosystem handles high-volume customer interactions independently, drastically reducing manual support overhead while driving unprecedented platform engagement and feature adoption across their global client base.
10
x
usage growth across the platform
1200
+
autonomous agents created by users
400
+
active agents currently deployed
40
%
of compliance rejections prevented