SourseAI Revolutionizes Telecom Decision Intelligence with AI

SourseAI’s Atlas platform revolutionizes telcos with AI predictions, aiding churn reduction and strategic decision-making.

Mazi
Mazi
Ai Tools · 17 Jan 2026 · 2 min read
Above SourseAI Revolutionizes Telecom Decision Intelligence with AI. Dynamic Business

SourseAI is an Australian software company specializing in Decision Intelligence for subscription-based industries, primarily Telecommunications (Telcos) and MVNOs (Mobile Virtual Network Operators). While traditional analytics dashboards show what happened (e.g., “churn went up 2%”), SourseAI’s platform, Atlas, uses AI to tell operators why it happened and what to do about it. It acts as an “AI brain” that plugs into a telecom’s data to predict customer behavior and simulate the outcome of business decisions (like a price change or new plan launch) before they are implemented.

Read also: Top Australian AI startups to watch in 2026

Core Technology: The “Atlas” Platform

Decision Augmentation: Unlike standard BI tools, Atlas provides forward-looking recommendations. It doesn’t just flag a customer at risk of leaving; it suggests the specific “Next Best Action” (e.g., offer 5GB bonus data vs. $5 discount) that is statistically most likely to retain them.

Pre-Built Telco Models: The AI is pre-trained on industry-specific data models. This solves the “cold start” problem, allowing mid-sized telcos (who can’t afford a team of 50 data scientists) to deploy advanced churn prediction and marketing mix modeling (MMM) in weeks rather than years.

Scenario Planning: Executives can use the platform to “wargame” strategies. For example: “If we increase the price of our unlimited plan by $2, how many customers will we lose, and will the revenue gain offset the churn?”

Company Profile

  • CEO & Co-Founder: Tanya Hyams-Young.
  • Headquarters: Sydney, Australia (Barangaroo).
  • Funding: Secured $3M AUD in Series A funding (Dec 2023) led by Centerstone Capital.
  • Key Customers: Boost Mobile, Lebara, More Telecom, Kogan Mobile, Superloop.
  • Awards: Won “Cloud-Based Solution of the Year” at the MVNO World Congress (2024).

Key Use Cases

  • Churn Prediction: Identifies customers likely to leave before they cancel. For Lebara, this helped reduce churn significantly by intervening early with targeted offers.
  • Marketing Efficiency: Uses AI to measure the true ROI of marketing channels (Marketing Mix Modeling). Boost Mobile used SourseAI to optimize their spend, achieving a 50% increase in impact while cutting costs.
  • Plan Pricing Strategy: Helps telcos design new mobile plans by simulating how customers will react to different price points and data inclusions, preventing costly product flops.

Why It Matters

Telecoms sit on mountains of data but often lack the agility to use it. Large incumbents (like Telstra/Optus) have massive internal data teams, but the “challenger brands” (MVNOs) often fly blind. SourseAI effectively democratizes “Tier 1” data science capabilities, giving smaller players the predictive power to compete with giants.

sourse.ai | LinkedIn Profile

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Mazi
Business development and AI integration specialist at DynamicBusiness.com
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