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Case Study • Revenue Enablement

8 Years of Engineering Partnership Powering the Market-Leading Revenue Enablement Platform

How Brevitaz grew from a single freelancer to a 31-person product engineering team, owning search, conversation intelligence, AI-powered roleplay, embedded analytics, and architecture modernization for Allego.

Allego is trusted by 25% of Dow Jones Industrial Average companies, including 3M, Tripadvisor, and Finastra.

8+
Years of Partnership
31
Engineers
5
Feature Squads
10+
Modules Owned
10x
Manager Time Saved

Executive Summary

  • Allego is the Gartner Magic Quadrant Leader in Revenue Enablement Platforms, used by one quarter of Dow Jones Industrial Average companies
  • Brevitaz operates as an embedded engineering partner (not a vendor), owning 10+ platform modules end-to-end from ideation to production
  • Built mission-critical systems: Elasticsearch-powered search, conversation intelligence pipeline, AI virtual avatar roleplay, and embedded analytics
  • Delivered pragmatic monolith-to-microservices modernization over years with zero downtime, zero disruption to customers

The Client

Allego is the market-leading revenue enablement platform, recognized as a Leader in the Gartner Magic Quadrant for Revenue Enablement Platforms. Enterprise sales teams use Allego to create learning content, manage sales assets, record and analyze sales conversations, deliver AI-powered coaching, and engage buyers through digital sales rooms.

The platform serves five core product areas: Sales Enablement, Sales Content Management, Conversation Intelligence, Modern Learning, and Channel Sales Enablement, each requiring deep domain expertise and high-performance engineering.

The CTO Challenge

In 2017, Allego's Engineering Head needed to scale development capacity to keep pace with rapid product growth. The requirement was not for a staff augmentation vendor or a body shop. It was for an extended engineering partner that could integrate seamlessly with the existing engineering culture, bring new perspectives, and maintain the code quality and performance standards the product demanded.

📈

Platform Scalability

The architecture needed to scale horizontally to support explosive growth in enterprise customers and content volume.

Sub-Second Performance

Sales reps expect instant results. Search, analytics, and content delivery all needed sub-second response times across millions of items.

🧠

AI-Ready Architecture

The platform needed to integrate conversation intelligence, LLM-powered coaching, and virtual avatar technology without re-architecting.

🏗️

Monolith Modernization

A revenue-generating monolith needed incremental migration to microservices, without pausing feature delivery or disrupting customers.

Partnership Growth Timeline

2017 1 Developer 2019 Search & Analytics 2021 Conv. Intelligence 2023 AI Roleplay & LLMs 2025 31 Engineers, 5 Squads From 1 freelancer to full product engineering partner

What Brevitaz Built

Over 8 years, Brevitaz took full ownership of designing, building, and maintaining 10+ major platform modules. This was not staff augmentation. Brevitaz owned features end-to-end, from requirement ideation to production delivery.

🔍

In-App Search Engine

Designed and built the entire in-app search infrastructure from the ground up using Elasticsearch. Sales teams create thousands of learning contents and need to find the right content instantly. Sales calls are recorded, transcribed, lemmatized, and ingested, enabling managers to search across all conversations for specific topics, objections, or competitor mentions.

Smart Search with Fuzziness Configurable Relevance Tuning Custom Query DSL LinkedIn-Style Typeahead 15+ Field Boost Factors
Result

Habit-forming search experience: sales reps find the most relevant content in sub-second response times across millions of items and transcribed conversations.

🎙️

Conversation Intelligence Pipeline

Built the complete pipeline that enables customers to understand where revenue is won and lost in sales conversations. The system handles call recording, transcription, text normalization, topic detection, keyword frequency analysis, and time-slot correlation, all feeding into actionable coaching insights.

AWS Transcription ES Percolators Topic Detection Context-Aware Analysis
Result

10x time saving for Sales Managers. Instead of listening to full call recordings, managers find the interesting parts of any call in seconds.

🤖

AI-Powered Sales Roleplay with Virtual Avatar

Built one of the most differentiated capabilities in the revenue enablement market: AI-powered virtual avatar sales roleplay. Sales reps practice handling objections, delivering pitches, and navigating complex conversations with an AI persona that responds in real-time.

LiveKit Streaming LiveAvatar Rendering LLM Integration Python Agent Orchestration
Result

Unlimited roleplay scenarios without needing a live manager or peer, with immediate AI feedback on technique, messaging, and objection handling.

📊

Embedded Analytics Platform

Owned the complete analytics module, both the data engineering pipeline and the visualization layer. This is the system enterprise customers use to measure the ROI of their enablement programs, tracking content engagement, learning completion, coaching effectiveness, and sales performance correlation.

DBT + Meltano Custom Dashboards React Visualizations ES Aggregations
Result

Enterprise customers can correlate enablement activities with revenue outcomes, all within the Allego platform.

📚

Content Management & Modern Learning

Built and maintained the core content management and learning delivery systems: structured learning paths with adaptive delivery, SCORM-compliant content integration, collaborative multi-user document editing, and digital sales rooms with engagement tracking.

Courses & Channels SCORM Integration Digital Sales Rooms Multi-User Editor
🏗️

Architecture Modernization

Led the technology initiative to evolve the architecture from a monolithic Java application toward microservices. Done incrementally using the strangler fig pattern, extracting high-value domains into independent services while maintaining production stability and continuous feature delivery.

Kafka Event-Driven Microservices Extraction React Migration Strangler Fig Pattern
Platform Architecture Overview CLIENT APPLICATIONS React • Vue • Angular • Digital Sales Rooms API Gateway — REST • GraphQL • OpenAPI Search Engine Elasticsearch Conv. Intelligence Transcription + NLP AI Roleplay LiveKit + LLM Analytics DBT + Dashboards Content SCORM + LMS Event Bus — Apache Kafka • ActiveMQ • Redis PostgreSQL • MongoDB Elasticsearch Cluster AWS S3 • DynamoDB

Brevitaz-engineered architecture: microservices extracted incrementally from monolith using the strangler fig pattern.

The Technology Stack

Java / Spring Boot Quarkus React JS Elasticsearch PostgreSQL MongoDB Apache Kafka LiveKit + LLMs DBT + Meltano Docker / Kubernetes AWS (S3, EC2, Lambda) Grafana / ELK KeyCloak Cucumber (BDD)

Current Team Composition

What started with a single freelancer in 2017 has grown into a deeply embedded 31-person engineering team organized into 5 feature squads:

17
Developers
4
Architects
5
QA Engineers
3
Automation
1
QA Manager
1
Performance

Not Staff Augmentation. Engineering Ownership

Brevitaz doesn't write code to spec. The team ideates features, proposes architecture improvements, builds POCs, and takes full ownership of entire product modules from requirement ideation to production delivery.

Why This Partnership Works

🎯

Engineering Ownership

Full module ownership end-to-end. Allego's leadership doesn't need to constantly review technical decisions or manage execution.

🧠

Deep Domain Expertise

After 8 years building sales enablement, conversation intelligence, and analytics, the team understands the domain at a level no new hire can match.

🔄

Pragmatic Modernization

Monolith-to-microservices migration done incrementally over years without disrupting customers or pausing feature delivery.

Craftsmanship Culture

High code quality, delivery reliability, and proactive communication: trust built over 8 years of consistent execution.

For VPs and CTOs evaluating engineering partners: The difference between a vendor and a partner shows up in year 3, year 5, and year 8. Brevitaz has been Allego's engineering backbone through multiple technology transitions, product pivots, and scaling milestones, and the partnership is still growing.

They've provided everything we've asked. We tend to be picky, but we trust them and appreciate their great design process. Their deliverables exceeded our quality expectations, and that earned them an expanded responsibility set.
Edward Chin, Head of Engineering, Allego Inc.
Edward Chin, Head of Engineering, Allego Inc.
Verified review on Clutch • 4.9/5 rating
Verified on Clutch

Scaling Your Sales Enablement Platform?

Whether you need to build search infrastructure, conversation intelligence, AI-powered features, or modernize your architecture, Brevitaz brings deep domain expertise and engineering ownership.

Talk to Our Engineering Team Visit brevitaz.com