allclouds.pl

Industry offer · Data centres and telecommunications

AI for telcos and data centres

SAIE for operators is a single AI gateway for the whole organisation, with audit, budgets and a contingency plan in case a model fails. A single AI gateway for the whole organisation — with audit, budget and a contingency plan

Why now

Operators and data centres have dozens of teams integrating AI with applications on their own, duplicated API keys and costs nobody controls. NIS2 requires evidence of oversight over AI, and a model provider outage must not stop support teams. Digital infrastructure entities must implement the security measures under the amended KSC Act (Poland’s NIS2 implementation) by 3 April 2027, and from 28 October 2026 a representative of UKE (Office of Electronic Communications) sits on KRiBSI (Commission for the Development and Security of Artificial Intelligence). The deadline for EuroHPC bids for AI gigafactories is 12 November 2026

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:DESK

Problem: 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:DESK

Problem: 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:AI

Problem: 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:AI

Problem: 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:AI

Problem: 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 + CDF

Problem: 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

Evidence

Scaling to 1,000 users, GPU isolation per tier, native OpenTelemetry

Multi-tenant B2B/B2B2C and white-label model

How we start

A gateway demonstration on one support team application — with a budget, failover and a log from day one

Questions decision-makers ask

How do you control the AI used by the operator’s employees?

Through a single gateway: PROXY:AI replaces scattered API keys and provides team budgets and a WORM log of every query

Which AI application layer should you build on your own cloud?

TWIN:DESK and PROXY:AI run on the operator’s infrastructure and can serve customers as a service

What can you offer regulated customers beyond infrastructure?

A ready-to-use AI work environment with evidence of compliance — in the allclouds.pl partner program

All questions

Other paths: Critical infrastructure

Energy company

Sovereign AI for critical infrastructure — with an emergency procedure and a rollback plan

Water utilities

AI for an essential service operator — with an evidence package and maintenance a small IT team can afford

Transport and automotive

Documents read themselves, complaints come with a draft reply, and pilots scale across branches

https://www.allclouds.pl/en/oferta-branzowa/centra-danych-i-telekomunikacja/