DreamAgent
I lead the full lifecycle of an enterprise AI platform: AI-native market research, product strategy, prototyping, development and go-to-market, alongside consulting and solution design for B2B and B2G customers.
The challenge and
the environment
DreamAgent is an enterprise AI platform for B2B and B2G. I develop it with the team across its full lifecycle, from AI-native market research and product hypotheses to commercial launch and customer solutions. Working directly with the founders, I connect product strategy, technology and commercial priorities.
Areas of work
- AI market research & product discovery: researching Russian and international AI-native products, agents and enterprise platforms; comparing competitors, product models and technology trends; exploring customer needs and process problems to formulate and test product hypotheses.
- Product strategy & value proposition: defining platform priorities and value for B2B and B2G segments; designing modules, features and AI use cases; shaping the roadmap, product requirements and acceptance criteria around customer business outcomes.
- AI prototyping & product development: rapidly testing hypotheses and user scenarios with AI prototypes and MVP concepts; managing platform development with the technical team, prioritising work, coordinating delivery and quality, and incorporating customer feedback.
- Go-to-market & product marketing: defining positioning, audiences and product messages for B2B and B2G; translating technology into business offers; developing the website structure, content and product pages; preparing presentations, demos and sales materials, and organising webinars and expert events.
- Enterprise AI solutions & consulting: analysing customer processes and software landscapes; designing solutions with DreamAgent, DreamDocs and the wider product suite, including integration and implementation concepts; supporting presales, demos and requirements discovery; advising leaders and specialists on AI capabilities and limits, training teams and gathering adoption feedback.
- Cross-functional & business leadership: connecting research, development, marketing and customer needs; coordinating product, technical and commercial teams; working directly with the founders on strategy and maintaining a consistent direction for the product, its positioning and business use.
What this project
brings together
Full-cycle enterprise AI product leadership: from market research, strategy and prototyping to development, go-to-market and practical business solutions. This work connects product decisions with customer processes, implementation and team adoption.
