Traditional Reports
Document output
- Static
- Delivered once
- Difficult to update
- Point-in-time analysis
- Human-readable
NovaCopilot Intelligence Graph · Decision platform
Regulatory Intelligence for People, Agents and AI Systems
Transform legal, regulatory and compliance complexity into structured, machine-readable intelligence.
Trusted across jurisdictions. Built for traceability, risk analysis and decision support.
NovaCopilot runs in production and is indexed continuously. No integration is required and no customer data is processed. Status per control is disclosed openly in the Trust Center.
Platform overview
- Output
- Decision objects: obligation, risk, action, deadline, owner and source
- Customer data
- No processing, no storage
- Access
- Explore the platform without core system integration
- Hosting
- Microsoft Azure, EU region
- Review
- Verifiable sources and defined human review points
Beyond Compliance. Built for Business Outcomes.
NovaCopilot transforms public legal and regulatory information into continuously updated business outcome intelligence.
- Not reports.
- Not predictions.
- Not recommendations.
Machine-readable intelligence for understanding revenue, margin, risk, growth and market access implications.
Every outcome remains traceable to its underlying legal, regulatory and supervisory sources.
BankingInsuranceTelecomEnergyPublic sectorRetail & e-commerceTravel & hospitalityHealthcareLogistics & transport
Product news · Q4 2026
NovaCopilot CAGI · Corporate Augmented General Intelligence
42 domains · 300+ nodes · live signals
Illustrative visualization · Tap or hover a domain
The global market talks about AI as a way to cut costs and improve efficiency.
But the enterprise has an entirely different challenge.
While AI focuses on tools for automation, boards & leadership teams are focused on other challenges:
- How do we reduce risk?
- How do we grow revenue?
- How do we improve margins?
- How do we strengthen the brand?
- How do we manage reputational risk?
- How do we increase enterprise value?
NovaCopilot develops intelligence products that help companies navigate complex markets, regulatory requirements and strategic business decisions with continuously updated data, agents and business objects — so companies do not need to let people go because of AI, but hire more.
- Open source agents
- 12,000+
agents in open source, working around the clock across the Intelligence Graph.
- API delivery
- 1+ per second
machine-readable answers delivered continuously to the global AI market.
NovaCopilot Intelligence Graph
From regulation to revenue, in one traceable chain.
NovaCopilot is an intelligence graph and decision platform, not a legal database. Each obligation is linked to its risk, the action it requires, the outcome it produces and the business opportunity it opens.
- 01Regulation
- 02Obligation
- 03Risk
- 04Action
- 05Outcome
- 06Business opportunity
- 07Revenue
Documents versus structured intelligence
Why Traditional Reports Fall Behind
A report describes one moment and then ages. An intelligence graph holds the same knowledge as linked obligations, risks and actions, and is read directly by the systems that need it.
NovaCopilot Intelligence Graph
Structured intelligence
- Continuously updated
- Source-linked
- Machine-readable
- Traceable
- Built for people and AI systems
Reports still have a place in governance. The difference is that a graph keeps each statement linked to its source, so an answer can be rechecked when a rule changes.
What NovaCopilot delivers
One question, one decision object.
Instead of documents to read, NovaCopilot returns a structured answer that people can review and systems can use directly. The same object is shown below as readable text and as machine-readable data. Illustrative example.
- Question
- Does the EU AI Act apply to our consumer credit scoring model?
- Regulation
- Regulation (EU) 2024/1689, Art. 6 and Annex III
- Applies
- Yes, high-risk AI system (creditworthiness of natural persons)
- Obligation
- Risk management, data governance, technical documentation, human oversight, registration
- Risk
- Administrative fines and delayed market launch
- Action
- Conformity assessment plan with owner per obligation
- Owner
- Provider of the AI system, Head of AI with Compliance
- Business impact
- Product launched on schedule in regulated markets
- Review point
- Final legal assessment by counsel
Machine-readable
{
"object": "novacopilot.decision",
"jurisdiction": "EU",
"regulation": "32024R1689",
"applies": true,
"classification": "high_risk",
"obligations": 5,
"risk": ["fines", "launch_delay"],
"action": "conformity_assessment_plan",
"role": ["head_of_ai", "compliance_officer"],
"industry": "banking",
"business_impact": "launch_on_schedule",
"source": "eur-lex.europa.eu",
"human_review": "legal_counsel"
}Machine-readable legal intelligence
Built for AI Consumption
Structured regulatory intelligence for people, agents and AI systems.
Modern knowledge systems require more than documents. NovaCopilot structures legal and regulatory intelligence as agents, relationships, obligations, controls and decision objects, making information easier to discover, verify and consume across both human and machine workflows.
01
Agent-first architecture
02
Structured obligation objects
03
Risk and consequence models
04
Versioned regulatory knowledge
05
Knowledge graph relationships
06
Public APIs
07
MCP-ready interfaces
08
AI-friendly manifests
Our vision
From legal knowledge to accountable action
Our vision is to make every legal, regulatory and compliance question answerable by AI, with verifiable sources, clear actions and complete traceability. The same direction carries an efficiency ambition: NovaCopilot reduces the volume of documents, paper PDFs, retrieval, energy consumption and token consumption by delivering ready-made decision, risk, obligation and action objects that apps and computers can use directly in response generation. Corporate business agents bring that intelligence into defined business tasks, with these four principles as their foundation.
01
Verifiable sources
Connect guidance to the relevant law, regulation or court decision so a reviewer can assess its basis.
02
No customer data
No access to customer records or transactions. Customer data is not stored or exposed to the AI model.
03
Clear actions, defined limits
Identify the obligation, risk and next step. Legal judgement and matters involving customer records remain with authorised people.
04
Traceable decision chains
Retain the source and regulatory context from the original question through to the response and human review.
Business impact
Business value to evaluate
A pilot should test a defined information need against your current process. Agree the scope, evidence requirements and success criteria before assessing value. These are evaluation criteria, not measured customer results.
Research
Less time locating and interpreting relevant sources
Evaluate the time needed to identify applicable obligations and prepare a reviewable answer, compared with the existing process.
Review
A clearer basis for legal and compliance review
Assess source coverage, regulatory context and the completeness of the evidence supporting each answer.
Workflow
Structured output for enterprise processes
Validate whether answers, risks and actions can be used by the intended AI system or workflow without losing provenance.
Control
Defined limits and accountable decisions
Review how questions outside scope, missing evidence and matters requiring professional judgement are referred to authorised people.
Agree a baseline for research time, review effort and source completeness. Assess output quality and human review requirements before considering broader deployment.
From sources to action
A reviewable path from question to action
NovaCopilot connects the question, jurisdiction and evidence to a defined next step. Guidance follows deterministic rules within an approved scope. Where evidence is insufficient or legal judgement is required, the matter is referred for human review.
01
Define the question
Establish what is being asked and which jurisdiction and regulatory context matter. Questions outside the approved scope are not treated as grounds for an answer.
- Question
- Jurisdiction
- Scope
02
Assess the evidence
Connect the relevant sources to the obligation, the risk and the available next steps. Guidance follows a defined path rather than an open-ended conversation.
- Sources
- Obligations
- Risks
03
Identify the next step
Conclude with a clear action or a handover for human review. Defined response checks and escalation rules keep the outcome within the approved mandate.
- Action
- Human review
- Traceability
When a question cannot be resolved within the approved mandate, NovaCopilot refers the matter for human review rather than treating missing evidence as a basis for an answer.
Structured intelligence supports review, it does not replace professional judgement. Legal advice, formal assessments and decisions on an organisation's behalf remain with authorised people.
Illustrative scenarios
From a regulatory question to a decision object
Scripted examples of how NovaCopilot links a regulation to obligations, risks, actions and business outcomes, with sources and review points. They illustrate the principle, not a customer deployment.
Illustrative question from a bank on whether a credit scoring model falls under the EU AI Act, and what follows.
Ask Nova this question
The registry is large. The first answer can take a few seconds to load.
Illustrative dialogue
Waiting to start…
Review context
- No decisions yet.
These dialogues and review notes are illustrative. They do not constitute legal advice, insurance coverage determinations or a connection to customer systems.
Regulatory questions
Rules, scope and the sources behind them
Industries
Decision chains by industry
Each example links a regulation to an obligation, a risk and an action, and to the roles and business impact it concerns. They illustrate potential applications, not customer deployments.
Source coverage, service scope and referral requirements must be agreed for each use case.
Banking
AML and customer due diligence
Maps anti-money laundering rules to the obligations, risks and controls a bank must evidence to its supervisor.
Review boundaries
- No access to customer records
- Assessment remains with the compliance function
- Role
- Compliance officerHead of risk
- Industry
- Banking
- Business impact
- Risk reducedAudit evidence
Decision chain
Defined scope- 1Obligation: risk-based due diligence
- 2Risk: supervisory sanctions
- 3Action: update the control map
Every step carries its source. Formal legal assessments remain with authorised people.
The NovaCopilot platform
Five pillars of one decision platform.
NovaCopilot Intelligence Graph is a living regulatory intelligence layer that helps companies grow faster, reduce risk and open new markets.
01
Agents
- Regulatory Agents
- Legal Agents
- Agent Packs
02
Intelligence Graph
- Regulatory Graph
- Precedent Graph
- Risk Intelligence
03
Engine
- Verification Engine
- Deterministic AI
04
Infrastructure
- Living Compliance
- Regulatory Infrastructure
05
Business Impact
- Revenue Opportunities
- Market Access
- Regulatory Readiness
- Change Impact
AI-Ready
AI Native Intelligence
Regulatory knowledge today is consumed by both people and AI systems.
NovaCopilot publishes legal and regulatory intelligence as structured objects, relationships, agents and APIs.
Every judgment, regulation and obligation can be consumed through machine-readable formats, documented manifests and traceable knowledge structures.
The platform is continuously updated with a focus on availability, transparency, traceability and verifiability.
AI Readiness ReportTrust & security
Trust, compliance and traceability
Customer data boundary
Customer records and transactions are not stored or exposed to the AI model.
Human accountability
Legal judgement and formal decisions remain with authorised people.
Control transparency
The Trust Center distinguishes implemented controls, work in progress and planned measures.
Review evidence
Technical and operational documentation is available for review under a non-disclosure agreement.
GDPRNo customer data processed
EU AI ActClassification in progress
ISO 27001Framework-aligned, not certified
DORAGroundwork planned
EU data residencyMicrosoft Azure, EU region
This page is maintained by Valkiv Ventures AB and describes the platform's design principles and activated controls. Framework references describe how the product is built to support your obligations, they are not independent certifications or audit opinions.
