Fortris Partners with Innervation to Develop Explainable AI for Cryptocurrency Finance Reporting

Fortris has partnered with Innervation to develop a proof-of-concept CFO financial intelligence system that brings explainable AI to cryptocurrency finance reporting. The prototype addresses a critical gap: finance teams need AI that shows exactly how it reached its conclusions, with complete transparency at every step.

The Challenge: Trust and Verification in Fast-Moving Markets

Cryptocurrency finance teams face unique pressures. Markets move in hours, data comes from multiple systems in different formats, and regulatory scrutiny demands clear explanations for every decision. When a CFO asks about a variance or auditors want to understand a valuation methodology, "the AI figured it out" isn't good enough.

Traditional AI tools deliver answers but hide the reasoning. Finance teams can't verify the logic, trace the data sources, or understand what happened between the question and the answer. That gap between input and output makes AI unreliable for decisions that carry real financial responsibility.

The Solution: Multi-Agent Intelligence with Complete Transparency

Working with Innervation, we've developed a prototype that takes a fundamentally different approach to this problem. Rather than one AI system trying to handle everything, specialized agents collaborate on each query, with each agent's contribution fully visible. It's the equivalent of a team of financial experts working together, where every contribution and rationale is on the record.

What the system does:

  • Answers finance questions in plain language using Fortris-specific business context and approved data sources
  • Performs quantitative analysis with clear explanations of the statistical methods used
  • Creates data visualizations that make complex financial information immediately understandable
  • Traces every decision back to its source so teams can verify where information came from and how conclusions were reached

Every output includes the complete reasoning chain: which agents were involved, what data they accessed, and how they arrived at their conclusions. That full traceability is what separates this from conventional AI tooling. The outputs are verifiable, not just plausible.


Why Multi-Agent Architecture Matters for Finance

Innervation's platform assembles the right combination of specialized agents for each task. Each agent's work is independently auditable. If something looks wrong, teams can trace exactly which component produced it and why. In finance, where decisions involve real money and regulatory exposure, the ability to verify the path to an answer matters as much as the answer itself.

The system also adapts to new requirements without months of redevelopment. When cryptocurrency regulations change or reporting needs evolve, the platform reconfigures how agents work together. No rebuild from scratch.

Statement from Innervation

"We are proud to support Fortris as they lead digital transformation in the cryptocurrency space. By integrating Innervation's Multi-Agent Solutions, Fortris can provide deep, data-driven insights backed by complete decision traceability, ensuring that every output is as verifiable as it is accurate."

Jameson Jones-Doyle, CEO at Innervation

About Innervation

Innervation develops multi-agent orchestration platforms for organizations that need transparent, auditable AI in high-stakes environments. The company's architecture enables complex AI solutions to be deployed in weeks rather than the industry-standard months, with built-in decision traceability designed for sectors where accuracy and accountability are non-negotiable.

What's Next: Deep Research Capabilities

Innervation has developed advanced "Deep Research" capabilities that could transform how Fortris analyzes complex cryptocurrency market dynamics. The technology deploys hundreds of specialized agents simultaneously to examine a research problem from multiple angles, with each agent investigating different aspects, validating findings against multiple sources, and cross-checking conclusions.

The system maintains error rates below 0.3% while providing complete citation-level auditability for every claim. Each assertion can be traced back to its source, with the full reasoning visible. For cryptocurrency finance, where market mechanics are complex and shift quickly, this kind of systematic, multi-perspective analysis could yield insights that conventional research methods simply cannot match.



Frequently Asked Questions (FAQs)

What is the main purpose of the Fortris and Innervation partnership?

The partnership produced a proof-of-concept CFO financial intelligence system that brings explainable AI to cryptocurrency reporting. Finance teams can verify exactly how the AI reached its conclusions, with full transparency at every step of the process.

Why is traditional AI considered a "trust problem" in finance?
Traditional AI tools hide their reasoning. Finance teams can't verify the logic, trace data sources, or explain valuation methodologies to auditors. For high-stakes financial decisions, that opacity is a liability.

How does the multi-agent architecture work?
Innervation's platform assembles specialized agents for each task, with each agent handling a specific function. Every agent's contribution is independently auditable, so teams can see exactly which component produced a given output and review the full reasoning behind it.

What specific tasks can the prototype system perform?
The system answers finance questions in plain language using Fortris-specific business context and approved data sources. It performs quantitative analysis with clear documentation of the statistical methods applied. It produces data visualizations that make complex financial positions immediately understandable. And it traces every conclusion back to its source data for full verification.

What are "Deep Research" capabilities?
Innervation's Deep Research technology deploys hundreds of specialized agents simultaneously to analyze complex market dynamics. Each agent investigates a different angle of the problem, validates findings against independent sources, and cross-checks conclusions with other agents in the system. Error rates in testing have held below 0.3%, with citation-level auditability for every claim.

How does the system handle changing cryptocurrency regulations?
The platform reconfigures how agents collaborate to meet new requirements. Fortris can adapt to regulatory changes or evolving reporting needs in days, without rebuilding the system from scratch.

Fortris handles digital asset treasury operations for enterprise business.

Want to learn more? Book a demo today.