Solytics AI Governance Ecosystem

AI governance from inventory to runtime proof.

One enterprise control plane to register AI systems, classify risk, apply controls, validate behavior, monitor continuously and generate audit-ready evidence across the full AI lifecycle.

One AI estateModels, LLM apps, agents, vendor AI and EUCTs

Continuous assuranceValidation, monitoring, controls and evidence

Regulator readyMapped to global AI and model-risk frameworks

AI Governance Control Plane

LIVE ASSURANCE

AI estate registered

Underwriting Agent

Owner · AI Governance · Production

HIGH

GenAI Policy Assistant

RAG · Compliance · Pilot

MED

AML Review Agent

Agent · HITL · Pre-prod

HIGH

Vendor Fraud API

Third-party · Monitored

MED

Pricing EUCT

Business tool · Attested

LOW

Registerinventory + owner

Assessrisk + controls

Validatetests + evidence

Monitordrift + alerts

Proveaudit trail

UnifiedGovernance Ecosystem

Evidence generated as work happensEvery control, approval, exception, validation result and monitoring signal becomes part of the assurance record.

AUDIT READY

Recognized leadership · trusted globally

A Chartis Category Leader, trusted across the global financial system.

A single vendor with independently validated proof-points across the AML / financial-crime value chain — and a governance-first DNA built into every solution.

Chartis “Governance-first” QuadrantCategory Leader

RiskTech100 — One to Watch ’24 → #78 ’25 → #45 ’26

Chartis recognition

Chartis RiskTech Quadrant Category Leader – Adverse Media Monitoring 2025

Chartis RiskTech Quadrant Category Leader – Name & Transaction Screening 2025

Chartis RiskTech100 2026 – Financial Crime Accelerator Tools

Chartis Financial Crime & Compliance 50 2025

Chartis Financial Crime & Compliance 50 2025 – Emerging Use Cases

Chartis Retail Finance Analytics 50 2024

Regulation Asia Awards for Excellence 2025 – Winner, Fraud & Financial Crime

Industry awards

Trusted by leading financial institutionsA selection of enterprise clients across the world’s major banks, insurers and financial-services groups

14countries

5continents

40+enterprise clients

USA · Canada · UK · Germany · The Netherlands · Saudi Arabia · UAE · Oman · South Africa · Kenya · India · China · Japan · Cambodia.

The governance gap

AI risk is no longer a once-a-year review problem.

Modern AI systems change continuously. Governance needs to move from passive documentation to active, evidence-generating control.

The widening governance gap

AI adoption and risk accelerate continuously — periodic, manual governance cannot keep pace.

AI adoption & risk velocity Traditional governance capacity Ungoverned exposure

Once-a-year review model

Continuous assurance model

Inventory

Spreadsheets & disconnected tools

No single view of the AI estate

Live registry of every AI asset

Ownership, risk tier & usage context

Controls

Checked manually at review cycles

Point-in-time, easily out of date

Policies mapped into workflows

Enforced as gates, not paperwork

Evidence

Collected after the fact for audit

Reconstructed under deadline pressure

Captured continuously as work happens

Validation, monitoring & review trails

Runtime

Issues found after business impact

Discovery is reactive, not preventive

High-risk activity escalated early

Before it becomes audit exposure

→

Solytics closes the gap by turning governance from passive documentation into an active, evidence-generating control plane — faster safe adoption, continuous assurance and defensible proof for regulators, auditors and executives.

One ecosystem

A simple operating model for enterprise AI governance.

For users, it is one Solytics AI Governance Ecosystem. Under the hood, governance, assurance, monitoring and evidence layers work together as one control plane.

Register

Create a single inventory for models, GenAI applications, agents, vendor AI, business tools and EUCTs.

Govern

Assign owners, classify risk, map controls, orchestrate approvals and manage issues through configurable workflows.

Assure

Validate, test and monitor AI systems continuously across performance, drift, fairness, explainability, GenAI quality and runtime risk.

Prove

Generate audit-ready evidence, model documentation, AI system records, control attestations and executive/regulatory reports.

AI estate

AI agents & copilots
LLM and RAG apps
GenAI use cases
Models & third-party AI

→

Governance control plane

Inventory and risk tiering
Policies and controls
Workflow and approvals
Evidence requirements

→

Assurance outcomes

Approved, flagged or blocked
Continuous monitoring
Audit-ready documentation
Board and regulator reporting

The Solytics response

One integrated ecosystem — execution meets governance.

Nimbus Uno is the central execution & orchestration spine; Nimbus Vault is the inventory engine that governs and proves it — one closed loop from build to revalidation, with evidence and policy flowing continuously between them.

Orchestration engine

Nimbus Uno

Central Execution & Orchestration Spine

ModelOps

End-to-end model development, automated validation, continuous performance monitoring and drift detection.

LLMOps

Prompt versioning, evaluation pipelines for accuracy and hallucination, guardrails and token-cost optimization.

AgentOps

Multi-agent orchestration, tool-execution tracing, human-in-the-loop checkpoints and bounded-autonomy controls — powered by the built-in Agentic Builder.

▸Evidence & Outputs

◂Policy & Controls

Governance engine

Nimbus Vault

Inventory Spine

Inventory & Registry

Centralized model, AI and agent asset registry with risk tiering, ownership mapping and lifecycle status.

Compliance & Workflows

Configurable approval chains, attestation workflows and alignment with SR 26-02, EU AI Act, NIST and PRA.

Audit & Evidence

Immutable audit trails, automated regulatory reporting, decision logs and end-to-end traceability.

Extension Built on the Nimbus Uno Agentic Builder

Nimbus Govern — runtime assurance for Agentic AI

An extension of Nimbus Uno focused on validating and continuously monitoring autonomous agents at runtime. Every agent action passes through a pre-built assurance pipeline that checks reasoning integrity, enforces policy and intervenes before harm — self-adaptive, not rule-bound.

BLADEGPAGAAEGISMoDeVaATRASRA

Explore Nimbus Govern →

The Assurance Quad · runtime verification pipeline

01BLADEDetects ambiguity, hallucination risk and unstable outputs

02GPAValidates the agent's plan, tools and reasoning chain

03GAChecks every action against machine-verifiable policy

04AEGISMonitors live execution — blocks, rewrites or escalates

Visual assurance cockpit

Turn governance activity into live evidence.

The page should feel like a real operational platform, not just a compliance brochure. This draft uses product-style visuals to show the evidence layer.

Assurance cockpit

InventoryControlsEvidence

AI ASSETS248

HIGH RISK37

EVIDENCE READY91%

EU AI Act evidence

Mapped

NIST AI RMF controls

In review

Model validation pack

Ready

Runtime monitoring

Live

AI inventory and risk classification

Centralize every AI asset with business owner, intended use, risk tier, materiality and regulatory scope.

Policy-to-control mapping

Translate AI and model-risk policies into control requirements, workflows, attestations and review gates.

Validation and monitoring

Continuously test models, LLMs, RAG systems and agents for performance, drift, bias, quality and safety.

Evidence and reporting

Produce documentation, audit trails, control evidence, exception records and board-ready governance views.

AI Governance & Assessment · Global Map

Every major AI & model-risk framework. Pre-built and plug-ready.

18+ global AI and model-risk frameworks are mapped to the Solytics ecosystem out of the box — each one tied to the products that operationalize it. No custom rules engineering, no manual mapping.

Regions covered

North America5

Europe3

United Kingdom2

Middle East2

Asia-Pacific4

Global Standards2

Regulatory Intelligence

Frameworks become operational outputs — not badges.

EU AI ActRisk classification, technical documentation, post-market monitoring and high-risk AI records.

NIST AI RMF / ISO 42001Control mapping, AI management-system evidence, risk register and assurance workflows.

SR 11-7 / SR 26-2 / SS 1/23Model inventory, validation packages, effective challenge and ongoing monitoring evidence.

OSFI E-23 / MAS / CBUAELifecycle governance, independent review, issue tracking and audit-ready reporting.

Proven outcomes

Production-proven across regulated enterprises.

Real numbers from live deployments across regulated banks, insurers and life-sciences institutions — not pilots, not POCs.

50%+

Productivity uplift across AI & agentic governance ops

Configurable workflows, automated evidence and standardized templates collapse the assessment-validation-attestation cycle across models, GenAI apps and agents.

3×

Faster AI & agent deployment to production

A pre-built runtime assurance layer replaces bespoke, one-off review cycles — new copilots, RAG advisors and agents go live in weeks, not quarters.

8,000+

AI & model assets under continuous control

Models, non-models, EUCTs, GenAI applications, LLM systems and autonomous agents — one inventory, one audit trail.

2M+

Agent invocations verified per month

Every action passed through the Assurance Quad in production — hallucinations, policy breaches and reasoning failures intercepted before harm.

70-80%

Faster re-validation cycles

Annual model re-validation moves from weeks to days, with regression and report assembly automated end to end.

100%

Audit-ready evidence on demand

Replayable reasoning traces, citation-linked narratives and framework-mapped evidence packs — defensible to risk, audit and regulators.

Case studies

Real risk. Real workflows. Production-proven.

How regulated enterprises govern, validate and prove their AI across copilots, agents and GenAI applications using the Solytics ecosystem.

NIMBUS Uno

MRM Vault

MoDeVa

SAMS

ATOMS

EMoT

RA Vault

AI Governance

Healthcare AI Governance

Trade Surveillance