AI Systems Architecture & Control
Architecture Review & New AI Implementation
Kirtonic supports organisations at two critical stages of AI adoption: reviewing existing AI architectures and designing new AI systems from first principles.
Both are delivered through a structured, architecture-led approach focused on control, security, and execution readiness.
Architectural Review of Existing AI Systems
For organisations with AI already in place, we conduct a comprehensive architectural review to establish how AI decisions are produced, governed, and executed across the environment.
We assess
- AI models and LLM deployments (in-house and third-party)
- System architecture and cloud environments
- Data flows, context pipelines, and model inputs
- Integrations, APIs, automation triggers, and execution paths
- Decision handoff points between AI, humans, and systems
- Security controls, access models, and data protection mechanisms
- Compliance alignment and audit readiness
Outputs
- Current-state AI architecture overview
- Decision flow and execution mapping
- Identification of uncontrolled or opaque automation paths
- Security, governance, and compliance gaps
- Clear recommendations for architectural remediation and control
Outcome
Full visibility of how AI operates today, where risk accumulates, and what must change before AI decisions are trusted at scale.
New AI System Architecture & Implementation
For organisations implementing AI for the first time, or introducing new AI capabilities, Kirtonic designs and implements AI systems with governance, security, and control engineered in from the outset.
We design and implement
- AI use cases aligned to business objectives and risk tolerance
- Target-state AI system architecture
- LLM selection, deployment, and hosting models
- Secure prompt, context, and retrieval design
- AI workflows and system integrations
- Approval, escalation, and execution thresholds
- Security controls and compliance guardrails
Outputs
- Target-state AI architecture and design documentation
- Defined decision and execution workflows
- Security and compliance control framework
- Implementation roadmap with phased rollout
Outcome
A production-ready AI architecture that enables automation without sacrificing control, auditability, or security.
Bridging Architecture to Execution
Whether reviewing existing systems or implementing new ones, every engagement defines how AI decisions transition into action.
This provides a clear, enforceable boundary between AI intelligence and operational execution.
Decisions are explicitly classified
automated, approved, or blocked
Execution paths are intentional
and controlled
Human oversight is preserved
where required
AI outputs never bypass
governance mechanisms
Kirtonic as the Control Plane
The architectural review or implementation phase establishes the foundation for Kirtonic to operate as the AI control plane.
Sits between
AI systems and execution environments
Enforces
Approval workflows and security controls
Provides
End-to-end traceability and auditability
Supports
Compliance and regulatory reporting
Request an AI Architecture Session
Recommended for organisations deploying AI into operational or regulated environments.