AI Readiness Assessment
Assess use cases, data, architecture, risk and operating readiness before investment.
- Use-case prioritisation
- Data readiness
- Platform roadmap
Private AI & Automation
Deploy enterprise AIwith control built in.
Design private and hybrid AI platforms that protect sensitive data, govern model access and automate business workflows with human oversight, traceability and secure operations.
Capabilities
What Cywolf Solutions delivers.
Services are tailored to your regulatory environment, existing technology, operating model and transformation priorities.
Private AI Platform
Deploy controlled model gateways, inference services and enterprise knowledge access.
- Model serving
- Secure RAG
- API gateway
Agentic Automation
Build AI agents that use tools and workflows with explicit permissions and approvals.
- Agent orchestration
- Human-in-the-loop
- Workflow integration
AI Security
Protect prompts, models, data and connected tools against misuse and attack.
- Input/output controls
- Secrets protection
- Model access governance
AI Governance
Define accountable ownership, risk classification, review gates and evidence.
- Policy and standards
- Risk register
- Audit trails
AI Infrastructure
Integrate GPU compute, storage, high-speed networks and platform orchestration.
- GPU clusters
- Kubernetes
- MLOps/LLMOps
Enterprise Integration
Connect AI to Microsoft 365, Azure, business systems and secure data sources.
- Microsoft ecosystem
- API integration
- Identity-aware access
Managed AI Operations
Monitor availability, usage, cost, performance, safety and model lifecycle.
- Observability
- Capacity and cost
- Incident handling
A controlled delivery lifecycle.
Every engagement uses defined governance, acceptance criteria and transition steps to reduce delivery risk and support long-term operations.
Assess
Requirements, current state, risks and dependencies.
Design
Target architecture, controls, sizing and implementation plan.
Build
Configuration, integration, migration and quality assurance.
Validate
Testing, evidence, acceptance and operational readiness.
Improve
Monitoring, support, reporting and continuous enhancement.
Business outcomes
Designed for operational value.
Technology is connected to measurable improvements in resilience, control, performance and service quality.
Data sovereignty
Sensitive information remains within approved boundaries.
Controlled innovation
AI use cases progress through risk-based governance gates.
Production reliability
Integrated monitoring, security and lifecycle operations.
AI delivery capabilities
Secure, sovereign and observable AI from data to agent actions.
GPU-agnostic deployment, data sovereignty, security by design, hybrid environments and governed multi-tenancy.
Secure RAG
Ground model responses in approved enterprise knowledge while preserving permissions.
- Document-level access control
- Source traceability and citations
- Retrieval quality evaluation
Useful answers without losing data boundaries.
Model Gateway
Centralise access to private, open and commercial models through governed routing.
- Authentication and RBAC
- Policy, quota and cost control
- Audit logging and model routing
Consistent control across model endpoints.
Agentic Workflows
Automate multi-step work with constrained tools, identities and approval paths.
- Tool permission boundaries
- Human approval checkpoints
- Workflow state and rollback
Scalable automation with accountable actions.
AI Guardrails
Reduce unsafe, irrelevant or non-compliant model behaviour before production use.
- Prompt and content controls
- PII and sensitive-data filters
- Output validation
Safer interactions for users and systems.
AI Red Teaming
Test applications against prompt injection, leakage, excessive agency and misuse.
- Adversarial scenarios
- Data-exfiltration testing
- Control-effectiveness review
Evidence-led improvement before wider rollout.
LLMOps & Observability
Operate models, applications and clusters with quality, performance and cost visibility.
- Evaluation and regression tests
- Latency and token economics
- Drift, failure and usage monitoring
Predictable production AI operations.
Technology ecosystem
Platforms aligned to this service area.
Selection is confirmed against customer standards, architecture, licensing, procurement, support and interoperability requirements.
Amazon Web ServicesCLOUD PLATFORMBuild the next phase with Cywolf Solutions.
Share your scope, current environment and target timeline. Our team will help define the right assessment and delivery path.