Most companies explore AI through isolated pilots or vendor trials. However, without alignment, these efforts stall. Our workshop helps organizations move from scattered experimentation to strategic adoption.
Key values:
Clarity before investment
Define where AI truly adds value.
Reduced risk
Validate ideas and avoid unsuitable technologies.
Confidence
Build internal understanding and readiness for an AI-first company.
Alignment
Unite business and tech teams around measurable outcomes.
The AI ideation workshop is built on a design thinking framework that blends creativity with practicality. Each phase combines user empathy, business understanding, and technical insight, turning abstract ideas into tangible, validated concepts.
We organize workshops on-site or online using tools like Miro for real-time collaboration.
A clear understanding of AI opportunities tailored to your context
A prioritized roadmap for pilot and full-scale implementation
A validated prototype or concept, ready for technical discovery
Documented insights on user journeys, risks, and success metrics
1 step – Analysis
We begin by analyzing the client’s challenges and current problem space.
2 step – Defining the user persona
Then, we define the user persona and create a customer journey map in the current state (“as is”).
3 step – Pain points
Next, we identify pain points and build a Solution Discovery Matrix to structure findings and priorities.
4 step – Modeling
Using a Service Blueprint, we model improved “to be” processes and visualize how AI can enhance them.
5 step – Prototypes
We propose and develop initial prototypes to represent possible solutions.
6 step – Feedback capture grid
The prototypes are tested, and feedback is collected through a structured Feedback Capture Grid.
7 step – Roadmap
Finally, we summarize insights and create a roadmap for further development and implementation.
Our portfolio
Scaling Edge AI & computer vision: QuantumEye real-time surveillance platform
Geniusee helped the QuantumEye AI platform that upgrades legacy CCTV with real-time detection, instant incident notifications, and decision-ready analytics.
Case details
Anatomy Financial: Automated financial management software for healthcare
Anatomy introduces an innovative solution designed to automate document processing, compare various documents and banking transactions, and handle the intricacies of physical check processing. By conducting a thorough analysis, the system identifies discrepancies between the declared prices of medical procedures and the actual amounts received by the clinic.
Case details
MartechCompose AI: Advanced content writing solution
We partnered with Compose AI to enhance their AI-powered writing platform through cloud migration, UX improvements, seamless integrations, and scalable feature development, upporting their growth from YC-backed startup to a widely adopted productivity tool.
Case details
MartechForethought: Enterprise AI agents for customer support
Forethought partnered with Geniusee to extend and integrate its AI-powered support platforms (Assist and Discover) into complex enterprise environments. We helped enhance real-time agent assistance, streamline multi-system connectivity, and deliver a unified support experience across channels. The result is a scalable AI agent ecosystem that accelerates resolution times, boosts team productivity, and powers more consistent customer experiences.
Case details
Enhancing FactMata’s AI to detect misleading content at scale
We partnered with Factmata to scale their AI platform for analyzing online content at volume, enhance data pipelines, and modernize their NLP models. Our team strengthened system performance, improved processing efficiency, and enabled Factmata to handle millions of records with higher accuracy and lower operational cost. By implementing our expertise in machine learning, natural language processing, and data analysis, we worked closely with FactMata to create web scrapers and optimize data pipelines and the project’s overall performance. The client addressed Geniusee to modernize their platform by combining real-time IoT data, AI analytics, and an intuitive user experience. The result: a scalable, secure, and analytics-driven ecosystem that helps enterprises make informed workspace decisions.
Case details
AI-driven-communication-assistant
Our client is a technology company specializing in providing services for industries with highly regulated communications. Their AI-based expertise allows to make those processes more simple. Geniusee was entrusted with migrating client’s infrastructure from Azure to Amazon, aiming to consolidate their crucial infrastructure in one place. The project involved migrating their database and leveraging Amazon services to optimize the system's scalability, security, and performance.
Case detailsPrototype testing approach
During the workshop, teams design and validate a lightweight prototype — often a simplified dashboard or workflow visualization. A small pilot group tests this version through structured usability sessions and scenario-based tasks. Feedback is captured via the Feedback Capture Grid, which records what works well, what needs improvement, and what questions remain open.
Expected outcome
By the end, most original pain points — such as manual processes, inaccurate forecasting, or disconnected workflows — are noticeably reduced. Teams validate time saved and improved decision quality, while discovering new opportunities for functionality and efficiency.
Retrospective
We conclude with a collaborative review of the design thinking process. Participants reflect on what worked well, where real data could strengthen testing, and how stakeholder engagement can expand in future phases.
Roadmap
Finally, Geniusee provides a phased implementation roadmap that will be later used for a full-scaled solution planning.
Genuisee’s versatile experience, gained over more than 8 years, has enabled us to form a team with a proven track record.
Certified AWS Partner delivering secure, scalable cloud-native solutions.
ISO-compliant processes ensuring quality, security, and reliability.
Trusted integration partner for financial data connectivity and open banking.
Team of ISTQB-certified QA engineers for world-class software testing.
Consistently rated ★5.0 by clients for reliability and delivery excellence.
Accredited partnership supporting advanced testing and continuous QA automation.
Long-term expertise
With 7+ years of experience in delivering custom software solutions and expertise across 180+ projects, we know how to scale your business by deploying cutting-edge solutions. From industry giants like Dell and Bloomberg to rising startups, we’ve consistently boosted businesses’ ROI.
Solid tech background
Our process goes beyond a cookie-cutter approach. Our team of 50+ domain-specific tech specialists is dedicated to solving your specific challenges. By staying ahead of industry trends, we ensure your project benefits from the latest innovations and best agile practices.
Flexible engagement models
Your goals shape our strategy. Whether you need a short-term solution to tackle immediate business challenges or a long-term partner to develop a comprehensive strategy, we offer custom models tailored to your needs and growth plans.
How long does an AI ideation workshop take?
Typically 3–5 days depending on project complexity and stakeholder involvement.
Who should participate?
Product owners, business analysts, domain experts, and decision-makers who understand user challenges or process gaps.
What do we need to prepare?
A general idea of your business goals, existing data assets, and pain points you’d like to address.
What happens after the workshop?
You receive a validated concept, prototype, and roadmap ready for MVP development or full-scale implementation with Geniusee.
