Three people who need to say “yes”
Operations director — fewer repetitive tickets, business continuity
CISO / architect — one gateway, virtual keys, audit
NIS2 compliance officer — agent register and an immutable log
Business scenarios
Automating repetitive support tickets
Process automation
TWIN:DESKProblem: The support team handles the same tickets over and over — password resets, VPN, mail configuration
How it works: A dedicated workspace with an assistant and assigned tools handles typical tickets and delegates steps to agents (A2A) with limits and approvals
What you gain: First-line support handles repetitive cases without an engineer; the team focuses on incidents that really need it
Assistant for operational and technical knowledge
Knowledge and documents
TWIN:DESKProblem: Operating procedures and technical documentation are scattered across many systems and local drives
How it works: A central RAG knowledge base plus a local agent that reads folders, Outlook and Teams — without copying everything into one repository
What you gain: Engineers find the right procedure in one place, including the one that sat on someone’s drive
Budgets and AI cost control
Cost and efficiency
PROXY:AIProblem: The cost of using AI models grows unpredictably
How it works: Hierarchical budgets with alerts, and a Denial-of-Wallet Guard that detects unusual usage patterns and cuts off suspicious sessions
What you gain: AI costs have an owner, a limit and an alert — and a sudden spike in usage is stopped before it shows up on the invoice
One AI gateway for applications and agents
Integration and reliability
PROXY:AIProblem: Every team integrates AI with applications differently, duplicating keys and configuration
How it works: One OpenAI API-compatible gateway for applications, agents and users; Virtual Keys with rotation and audit; an MCP gateway with per-tool RBAC
What you gain: Teams connect to one gateway in days, and security has a single point of control instead of ten point-to-point integrations
Business continuity when a model fails
Integration and reliability
PROXY:AIProblem: A model provider outage stops teams’ work
How it works: Fallback models with automatic failover, a model catalogue with status, health checks and retries with backoff
What you gain: An outage at one provider is invisible to users — traffic moves to a fallback model according to a set policy
Auditable, NIS2-compliant use of AI
Compliance and oversight
PROXY:AI + CDFProblem: An NIS2 audit requires showing how the use of AI is overseen
How it works: An immutable log of every call with CSV/JSON export, and an AI agent register with an owner, autonomy level and emergency shutdown procedure
What you gain: You answer the auditor’s question “who oversees AI?” with a register and a log, not a presentation