Case Studies
How organizations use multi-agent orchestration to solve real problems.
Fortris
Explainable AI for cryptocurrency finance reporting with complete decision traceability and verifiable accuracy.
CFO Financial Intelligence Prototype
Innervation developed a proof-of-concept multi-agent system that brings explainable AI to cryptocurrency finance reporting. Specialized agents collaborate on each query with every contribution fully visible. The system answers finance questions in plain language using Fortris-specific business context and approved data sources. It performs quantitative analysis with clear explanations of the statistical methods used and creates data visualizations that make complex financial information immediately understandable. Every decision traces back to its source, so teams know exactly where information came from and how conclusions were reached.
Multi-Agent Transparency Architecture
Every output includes the complete reasoning chain: which agents were involved, what data they accessed, and how they arrived at their conclusions. The system connects directly to Fortris transaction databases and organizational documents, delivering results teams can audit independently. Built on a modular architecture that adapts to new requirements without months of redevelopment. When regulations change or reporting needs evolve, the platform reconfigures how agents work together.
- Complete decision traceability for every AI output
- Agent-level auditability allowing teams to verify individual reasoning steps
- Direct database integration for real-time financial data access
- Modular architecture designed for scalability across additional use cases
Global Financial Institution
AI-powered financial education and research capabilities for a major American asset management firm.
Financial Tutor MAS
Multi-agent system drawing from specified institutional resources and client profile data to generate multi-step educational curricula tailored to individual user needs and financial situations.
Research Assistant Tool
AI system for automated discovery of articles on specific topics with summarization capabilities to support internal research efforts and knowledge management.
- Personalized financial curricula generated from institutional knowledge bases
- Automated research discovery and summarization across target topics
Venice Biennale
AI accessibility application making the world's premier art exhibition accessible to diverse global audiences.
AI Accessibility Application
Real-time AI guides featuring different personalities and communication styles, intake questionnaires that tailor language and examples to the user's personal context, image recognition capabilities for enhanced on-site experience, and real-time translation across all major languages.
- Multi-language real-time translation across all major languages
- Personalized guide experiences adapted to each visitor's background
- Image recognition for on-site contextual information
Myko Social Score Platform
Research partnership with McGill University Faculty of Law on sustainable behavior incentivization.
Research Partnership
Collaborative assessment of social scoring mechanisms for sustainable behavior modification, conducted in partnership with McGill University Faculty of Law.
- Academic research framework established for AI-powered sustainability incentives
- Collaborative assessment of social scoring viability completed
Secure Energy Pricing
Automated intelligent sales response system for energy sector pricing solutions.
Automated Sales Agent MAS
Multi-agent system responding to inbound form submissions from the client website with intelligent lead qualification, contextual response generation, and handoff to human sales for qualified opportunities.
- Automated lead qualification and intelligent response for inbound enquiries
- Reduced response time from hours to minutes
Deep Research
Proprietary deep research platform showcased at major European technology conference.
Conference Research Initiative
Deep researcher MAS producing detailed 50-75 page analyses on all 75 VC firms present at the conference. Each report was delivered directly to the firms in attendance as a demonstration of system reliability and analytical depth.
Industry Recognition
Research work featured as focus of keynote presentation at the conference.
- Error rate below 0.3% across 75 comprehensive VC firm analyses
- 50-75 page detailed reports produced and delivered per firm
- Featured as keynote presentation topic at the conference
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