Unified AI Assurance Ecosystem

Continuous assurance for your entire AI estate

One Enterprise AI Governance Ecosystem to govern, validate, assure at runtime and monitor every GenAI use case, LLM-powered app and autonomous agent — on one inventory, one truth and one audit trail.

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One AI estateModels, GenAI apps, agents & third-party AI
Runtime assuranceContinuous validation, monitoring & control
Regulator readyEvidence mapped to global AI & MRM frameworks
YOUR AI ESTATE LLMs & models Frontier systems GenAI applications AI agents & copilots Business use cases 01 Govern Know what AI you have and who owns it. Compliance evidenced 02 Validate Prove it works before it goes live. Reliability proven 03 Assure at runtime Control what agents are allowed to do. Risk exposure cut 04 Monitor See what AI is doing every day. Trust sustained UNIFIED AI Assurance across the AI lifecycle POWERED BY TWO CORE PLATFORMS AI Vault GOVERNANCE ENGINE Purpose-built AI governance platform delivering workflows, controls, roles and end-to-end evidence for audit scrutiny. Nimbus Uno EXECUTION ENGINE Advanced intelligence layer on your existing AI systems to validate, monitor and control them in production. ONE INVENTORY · ONE TRUTH · ONE AUDIT TRAIL
Independent analyst recognition · Chartis 2025

A Category Leader in AI Governance Solutions

Chartis RiskTech Quadrant® for AI Governance Solutions, 2025

BEST-OF-BREED CATEGORY LEADERS POINT SOLUTIONS ENTERPRISE SOLUTIONS Monitaur ServiceNow SAS Credo AI ValidMind IBM AuditBoard FairNow DataRobot Crisil PwC Wipro MetricStream Holistic AI Yields.io Cranium Prometeia TCS Fiddler 4CRisk.ai Archer Wolters Kluwer Mitratech CIMCON Software Evalueserve CoComply AI Suzan AI Arthur AI SOLYTICS PARTNERS COMPLETENESS OF OFFERING MARKET POTENTIAL

Chartis RiskTech Quadrant® for AI Governance Solutions, 2025 — Solytics Partners positioned in the Category Leaders quadrant.

Governance-first DNA

Chartis reserves the Category Leaders quadrant for vendors that pair the highest completeness of offering with the strongest market potential. Four things put us there.

AI Vault Governance Engine
Nimbus Uno Execution Engine
  • Unified enterprise AI ecosystemTwo platforms — AI Vault and Nimbus Uno — operating as one system.
  • Coverage across every AI assetModels, GenAI applications, RAG systems and autonomous agents.
  • Runtime control for agentsEvery agent action allowed, escalated or blocked before it executes.
  • Evidence generated as work happensAssessments, approvals and controls — audit-ready by default.

Rooted in classic model risk management, Solytics Partners’ AI governance solution offers centralized inventory, risk tiering, workflows, testing and validation across the model lifecycle for traditional, ML and LLM systems.

This was a key factor in its Category Leader placement in our AI Governance quadrant, alongside an ecosystem that offers a model management operating system with governance, validation and continuous monitoring, including templates, telemetry-driven controls and document generators.

Michael VersaceResearch Director, Chartis
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.
THE GAP UNGOVERNED EXPOSURE REVIEW REVIEW REVIEW TIME MODELS & LLMs GENAI APPS RAG SERVICES AUTONOMOUS AGENTS RISK & CHANGE VELOCITY
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 Partners response

Unified operating model for enterprise AI governance

Every AI asset moves through the same four actions: registered and risk-tiered, tested before release, held inside policy while it runs, and watched in production.

01

Govern

Every AI asset registered, tiered and approved through policy-driven workflows.

02

Validate

Risk-based evaluation before release — accuracy, bias, safety and hallucination risk.

03

Assure at runtime

Every agent action allowed, escalated or blocked before it executes.

04

Monitor

Continuous observability across prompts, responses, retrievals and tool calls.

01 · Input

AI estate

  • AI agents & copilots
  • LLM and RAG apps
  • GenAI use cases
  • Models & third-party AI
02 · Operating model

Governance control plane

  • Inventory and risk tiering
  • Policies and controls
  • Workflow and approvals
  • Evidence requirements
03 · Outcome

Assurance outcomes

  • Approved, flagged or blocked
  • Continuous monitoring
  • Audit-ready documentation
  • Board and regulator reporting
Built on two platforms

The Enterprise AI Governance Ecosystem

Turn AI governance into continuous assurance — with risk controls, runtime safeguards, and auditable evidence across the AI lifecycle.

Governance engine

AI Vault

01
Inventory & registration

Every AI asset, its owner and lifecycle status

02
Risk tiering

Materiality scoring and AI-assisted tiering

03
Policy workflows

Configurable gates, findings, attestation

04
Evidence trail

Immutable trail, 15+ framework reporting

Policy & controls
Evidence & results
Execution engine

Nimbus Uno

01
Evaluation

Accuracy, bias, safety, hallucination — pre-release

02
Observability

60+ metrics across prompts, retrievals, tool calls

03
Runtime governance

Allow, escalate or block before execution

04
Dashboards

Alerts, traces and audit-ready evidence

Assurance outcome

Every AI asset registered and tiered, evaluated before release, bounded at runtime and observed every day — with the evidence to prove all four, on demand.

1 · GA

Governance Authority

Turns enterprise policy into machine-verifiable logic, then hard-blocks any action that violates it.

2 · GPA

Goal – Plan – Action

Checks the agent’s plan against the original intent before execution and audits skipped steps.

3 · BLADE

Boundary Layer

Detects semantic uncertainty and high-risk reasoning before an unsafe output is produced.

4 · AEGIS

Adaptive Enforcement

Applies real-time controls — constraining, escalating or stopping unsafe actions.

Inside the platforms

From governance policy to continuous AI assurance

Four lifecycle actions. Two platforms. One evidence trail from inventory to production monitoring.

AI Vault · Governance engine

Inventorize every AI asset.

“Know what AI you have and who owns it.”

Every agent, app, RAG service and dataset lands in one inventory — with an owner, a risk tier and a policy set.

  • Ownership and lifecycle status
  • Risk tiering and materiality
  • Audit trail and attestations
Assurance outcome A tiered inventory with named owners, approval records and an audit trail.
Nimbus Uno · Execution engine

Evaluate every AI system.

“Prove it works before it goes live.”

Test suites score the system against business, policy and safety thresholds before anything is released.

  • Quality, safety and robustness
  • Adversarial and edge-case testing
  • Deployment-ready report
Assurance outcome A deployment-ready validation report with scores, coverage and open findings.
Nimbus Uno · Assurance Quad

Control every AI action.

“Control what agents are allowed to do.”

Every agent action is checked in the execution path and then allowed, escalated or blocked.

  • Policy across plans, tools, permissions
  • Autonomy bounded by design
  • Step-level audit trail
Assurance outcome A decision on every action — allowed, escalated or blocked — with a step-level trace.
Nimbus Uno · Execution engine

Observe AI in real time.

“See what AI is doing every day.”

Prompts, responses, retrievals and tool calls run through a single monitoring layer.

  • 60+ metrics: drift, hallucination, cost
  • Real-time alerts and traces
  • Agent health at a glance
Assurance outcome Live dashboards, alerts and traces, with every result written back to the record.
app.solytics-partners.com / ai-governance / inventory Live
AI Vault inventory screen
Nimbus Uno evaluation screen
Runtime assurance screen
Production monitoring screen
Regulatory Intelligence

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.

18 frameworks · 6 regions
Hover any marker for detail
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.

Answers

Frequently Asked Questions

What risk, compliance and technology teams ask us most often when they move AI from pilot to production.

Something not covered here?

Talk to our team
Background Gradient

Ready to move from AI policy
to continuous proof?

Get complete visibility across models, GenAI applications and autonomous agents — one inventory, one risk tier, one lifecycle.
Enforce policy where it matters — every agent action allowed, escalated or blocked before it executes.
Stay audit-ready by design — evidence mapped to the EU AI Act, NIST AI RMF, ISO 42001, SR 11-7 and local regulation.
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