Telecom company
Product 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.
Four complex suites. Around 50 nodes. Complete product proposals per customer segment. Always current.
What changed
- Every segmentgets a proposal, on the same cycle (estimate)
- ~5× fastercycle: months → weeks (estimate)
- ~3 FTEfreed across teams (estimate)
01The challenge
Where it started.
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 By the time everything was compiled, parts of it were already outdated.
In detail
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.
Quote
“Product development used to take six to twelve months. Now we have a complete portfolio ready to review in four to six weeks.”
02What we built
Agents and workflows, on one platform.
Sources
AI agents
Why the Elevon platform
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.
03Rollout
Step by step.
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.
How it runs
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.
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.
04Results
What changed.
- Every segmentgets a proposal, on the same cycle (estimate)
- ~5× fastercycle: months → weeks (estimate)
- ~3 FTEfreed across teams (estimate)
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.
- 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
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.
Quote
“Every proposal now comes with full market context. The team focuses on decisions, not on building the background material.”
Next step
Your process could be the next case.
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