Elevon in ForbesProduct Development, From Months to Weeks
The operator deployed four complex suites built from around 50 nodes that continuously monitor the market, analyze competitor plans, and generate complete product proposals for each customer segment, ready for team review without prior manual research.
Client
Our Telco client
Industry
Telco
Solution
Custom AI automation system (Elevon platform)
Deployment
Production
Four complex suites. Around 50 nodes. Complete product proposals per customer segment. Always current.
The Challenge
Developing new mobile products requires input from multiple sources at once: current competitor offers, customer needs by segment, market trends, and applicable regulatory and technical constraints. Gathering and aligning all of this manually was time-consuming and prone to inconsistency. By the time everything was compiled, parts of it were already outdated.
Marketing, R&D, and sales teams each maintained their own market view, often based on different data and different timing. Aligning those views before any product decision added weeks to an already long process.
Development cycles ran six to twelve months from initial concept to a proposal ready for internal review. That timeline made it difficult to respond quickly when market conditions shifted or a competitive gap appeared.
Why Elevon
Shared data foundation for all teams
The system collects data from monitoring modules covering Slovak, EU, and global mobile plan markets and brings it into a single consistent view. Marketing, R&D, and sales work from the same market picture without reconciling separate research.
Persona agents that produce proposals
Three dedicated agents, each built around a defined customer segment, process the market data and produce specific product recommendations for that segment. The output is a concrete product lineup per segment, with positioning and pricing rationale included.
Complete proposals, not just concepts
Each proposal includes product positioning, pricing logic, and a go-to-market outline. The product team receives a structured document to review and refine, not a starting point that requires another round of preparation before it is usable.
“Product development used to take six to twelve months. Now we have a complete portfolio ready to review in four to six weeks.”
The Rollout
The system operates as four complex suites built from around 50 nodes. Specialized data-collection nodes gather competitor plan data from Slovak, EU, and global markets. That data passes through analytical modules that produce a unified market view. Three persona agents then process this view from the perspective of each defined customer segment and generate tailored product proposals.
The Final Master module closes the chain. It takes all outputs, including product specifications, market data, competitor analysis, segment insights, compliance checks, and technical constraints, and produces one complete product portfolio with a separate proposal for each customer segment, ready for team review.
What this looks like in practice
A product manager opens the latest system output and finds three complete product proposals, one per customer segment, each with positioning, pricing rationale, and a go-to-market outline. Supporting market data and competitor analysis are available for reference. The team reviews, adjusts if needed, and approves. There is no preliminary research phase and no need to reconcile different market views from different teams.
The suite
Sources
AI agents
Compile
Output
Illustrative reconstruction of the production suite.
Product proposal
Real output format, recreated with blind sample data.
The Results
Development cycle reduced from 6–12 months to 4–6 weeks
Four complex suites (~50 nodes) running continuously in production
All teams work from the same, continuously updated market data
Separate product proposal generated for each defined customer segment every cycle
Complete documentation included with every proposal: positioning, pricing, go-to-market outline
No manual research phase required before product review
Every segment
gets a proposal, on the same cycle
~5× faster
cycle: months → weeks
~3 FTE
freed across teams
How we estimate: removing the manual research and alignment phase frees capacity across marketing, R&D and sales. The larger upside is timing, because cutting the cycle from months to weeks pulls each launch forward, and earlier revenue outweighs the effort saved.
“Every proposal now comes with full market context. The team focuses on decisions, not on building the background material.”
Why It Worked
Product development slows down when the preparation phase, including research, competitive analysis, and documentation, takes longer than the actual product work it is meant to support. The bottleneck is rarely a lack of ideas. It is the time and coordination required to assemble a reliable foundation before any decision can be made.
The Elevon automation chain moved that preparation to automated agents. The agents collect and process data, maintain a current market view, and generate structured first-draft proposals. The product team starts from a complete, reviewed document rather than a blank page. The cycle shortened because the manual steps between market signal and actionable proposal were automated, not because any part of the product decision was skipped.
Three factors drove the result: a unified data source that eliminated version conflicts between teams, persona agents that went beyond summarizing the market and produced segment-specific product proposals, and output documents detailed enough to use directly in a product review without additional preparation.
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