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Agentic AI Platform
The engine behind
intelligent
compliance.
Ruleguard is built on a new class of AI: agentic, context-aware, and designed from the ground up for regulated financial services. Intelligent agents read, reason, and act across your compliance workflows, generating audit-ready evidence at every step.
No sales pitch
30-min walkthrough
ISO 27001 & ISO 42001
Global Map Homepage (2)
LIVE
369 rules monitored - 24/7
TRUSTED BY LEADING FINANCIAL INSTITUTIONS
GENERATIVE AI, GOVERNED
The power of generative AI -
safe for regulated firms
Generative AI can transform compliance, but only if it meets the governance, auditability, and data security standards financial regulators expect. Four pillars make this possible.
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STANDARDS

ISO 27001 certified & ISO 42001

Enterprise-grade security. Independently verified with ISO 27001 certification. ISO 42001 compliance is BSI audited.
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AUDITABLE

Immutable Audit Trails

Every agent decision, data source, and output recorded permanently.
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ACCOUNTABLE

Human in the Loop

Configurable oversight checkpoints - you set the level of autonomy.
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FLEXIBLE

Model Choice & Data Residency

Frontier cloud models or on-premises - your data, your rules.
The key principle: generative AI must be explainable, auditable, and under human control. Ruleguard delivers all three.
See Human Oversight
Technology
The power of context
Governance alone does not make agents effective. Agents must truly understand your firm: its policies, its boundaries, and the outcomes it is trying to achieve. Ruleguard structures this knowledge into four context layers.
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[01]

Organisational Context

  • Policies & Procedures
  • Regulatory Frameworks
  • Corporate Standards
  • Risk Appetite Statements
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[03]

INTENT CONTEXT

  • Business Outcomes
  • Strategic Objectives
  • Success Metrics & KPIs
  • Priority Weighting
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AI AGENT
CONTEXT-DRIVEN
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[02]

Constraints

  • Should Do (Best Practices)
  • Must Not Do (Hard Limits)
  • Escalation Thresholds
  • Approval Requirements
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[04]

SPECIFICATION CONTEXT

  • Modular Task Instructions
  • Step-by-Step Playbooks
  • Data Source Mappings
  • Output Specifications
[01] ORGANISATIONAL CONTEXT
Your policies, procedures, and institutional knowledge. Agents reference your authoritative sources - not generic training data. When your policies update, agents reflect those changes immediately.
You define the context. Agents operate within it. 
See Context in Action
In Practice

Context in action

Here is how the four context layers combine in a real workflow: a regulatory change assessment, from ingestion to output.
Live Workflow

Regulatory Change Assessment

Active
Group Structure
Products & Services
Jurisdictions
Strategy
Agent Synthesises All Four Context Layers
Parse Regulatory Change
Extract key provisions, effective dates, scope.
Suggest Applicability
Map to jurisdictions, entities, business lines.
3
Surface Risks
Review risk register, recommend adjustments.
4
Assess Controls
Review control environment and policy gaps.
5
Route for Human Review
Escalate to SME, await approval.
Control

Human in the loop - always

Neither context nor governance replaces human judgement. Ruleguard keeps humans in control at every step, you decide how much an agent can do on its own.
HIGH MODERATE LOW
HIGH RISK
Full Review
Full Review
[HIGH RISK]
Every output reviewed by a human. For initial deployment and high-risk tasks.
Exception-Based
[MODERATE]
Humans review flagged items only. For proven agents on moderate-risk workflows.
Autonomous
[LOW RISK]
Agent operates independently with periodic audits. For mature agents on non-critical tasks.
Data Integration
Automated
Risk Analysis
Automated
HUMAN REVIEW
Checkpoint
Control Mapping
Automated
Output Generation
Automated
HUMAN APPROVAL
Checkpoint
Automated Steps
Human Checkpoints
You set the rules. You set the thresholds. You approve the output. The agent does the work, on your terms.
LEARNING

Every task makes your agents smarter

With context, governance, and human oversight working together, the platform gets better over time.
Every interaction sharpens the edge, the compounding advantage of agentic compliance.
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Month 1

Initial Development

Speed
15m
Accuracy
85%
Coverage
5 Workflows
Month 6

Optimised Performance

Speed
7m
-53%
Accuracy
94%
+9pp
Coverage
10 workflows
2x
Month 12

Mature Agent Operations

Speed
4 min
-73%
Accuracy
98%
+13pp
Coverage
20 Workflows
4x
Your agents learn from your team's corrections, your policy updates, and your feedback. The intelligence tailors more and more closely to your firm over time, without training shared models.
Connectivity

Ready to connect - when you are

Ruleguard works standalone out of the box. When your firm is ready to go further, the MCP server makes it simple to integrate securely, on your terms, at your pace.
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INBOUND

Data on Ruleguard, Agents at Your Firm

If your firm already uses AI agents or tools, they can access Ruleguard's compliance data securely in real-time.
OUTBOUND

Agents on Ruleguard, Data at Your Firm

Ruleguard agents can reach out to external systems to pull additional context — enriching workflows without re-engineering your infrastructure.
Integration happens at your pace. Our team works with yours to make it seamless.
READY WHEN YOU ARE

See the platform in action

Book a demo and discover how Ruleguard's agents automate the compliance lifecycle with context, control, and continuous learning.
No sales pitch · 30-minute tailored walkthrough · ISO 27001 · ISO 42001