Why DevOps AI

Stop Stitching Tools. Start Orchestrating.

Most MSPs run 10–15 disconnected tools. DevOps AI replaces the patchwork with one AI-orchestrated control plane — purpose-built for managed services.

The Old Way vs. The DevOps AI Way

Without DevOps AI

  • 10–15 disconnected tools with separate logins
  • Manual ticket triage — every alert needs a human
  • Data scattered across vendors — no single source of truth
  • Scaling means hiring — linear cost growth
  • Compliance is a manual checklist

With DevOps AI

  • One control plane — 15 zones, 157 process areas
  • AI triage handles 40% of tickets automatically
  • Unified data model with full observability
  • Scale capacity without scaling headcount
  • Continuous compliance — automated, auditable

What Makes DevOps AI Different

Not another RMM. Not another PSA. A fundamentally different approach to managed services.

AI-Orchestrated, Not AI-Bolted

AI isn't a feature we added — it's the foundation. Every process area has built-in AI capabilities with human-in-the-loop controls.

Full Data Sovereignty

Deploys to your Azure tenant. Your subscription, your encryption keys, your data. Zero shared infrastructure with other customers.

15 Zones, 157 Process Areas

The most comprehensive operational coverage in the industry. From Service Desk to GRC to Financial Operations — every MSP function, unified.

Deploy in 35 Minutes

Not 35 days. Not 35 weeks. Azure Marketplace deployment with guided onboarding. You're operational the same afternoon.

21 Purpose-Built Roles

Every MSP role — from CEO to NOC tech — gets a tailored experience. The right data, the right actions, the right context.

Human-in-the-Loop Everywhere

AI handles the routine. Humans handle the exceptions. Every critical decision has a human approval step — configurable per zone, per process area.

The First AI Platform with Structural Guarantees

Other platforms use AI. DevOps AI guarantees every AI output is structurally correct.

DevOps AI is built on FORGE (Fixpoint Output Repair for Generative Engines) — a deterministic normalization engine that repairs structural defects in AI-generated content. FORGE makes no LLM calls, uses no randomness, and fails closed on ambiguity.

FORGE catches defects that LLMs systematically introduce — missing imports, malformed diffs, broken YAML, unbalanced SQL — before they reach production. Every repair is logged, auditable, and reproducible across 23 content types.

Deterministic Trust

No temperature, no sampling, no randomness. Same input always produces the same output. Structural correctness is verified, not hoped for.

Pre-Production Validation

Every AI action, every generated document, every automated workflow passes through FORGE before reaching your environment. Defects are caught at the boundary.

Full Auditability

Every FORGE repair is logged with an immutable audit trail. Know exactly what was repaired, when, and why — for every AI output the platform produces.

See It for Yourself

The best way to understand DevOps AI is to experience it. Deploy in your Azure tenant today.