AI is accelerating coding.
Software delivery is still stuck in ticketOps!

Don't put AI agents in your SDLC without an orchestrator. Use Orchestrator Knowledge Graph.

PROBLEM

Why AI Agents Fail Without an Orchestrator

No unified knowledge graph

Terraform runs before configs can deploy. No shared knowledge between tools

No unified 'system of change'

Orders among the pipelines are maintained outside. Agents are unaware of how to orchestrate a plan.

Multi-Persona Coordination Tax

Releases require coordination between teams. 60% of deployment time wasted on human orchestration.

SOLUTION

The Three-Layer Solution

Building AI-powered SDLC the right way

AI-Powered SDLC Architecture: AI Agents (Copilot, Terraform Authoring, Debugging, Release), Orchestrator & Context (Engine, SDLC Graph, Policies, Data Store), and Cloud/CI-CD/Observability Tools

The Tools

You already have this today!

The Orchestrator

The orchestrator builds the organization context through contracts

The AI Agent Layer

The context powers the AI Agents. Agents drive changes through the orchestrator.

See it in Action

The Next-Gen AI Agents

Creating Productivity Impact in Software Delivery

Debugging Agent

AI agent to help you debug issues by corealating issues across services and infra

  • 60% reduction in MTTR

Terraform Authoring

Author new Terraform modules following organization standards and contracts

  • 10 mins to author, 100% compliant

Blueprint Designer

Design Blueprints for the developer use-case using pre-approved modules developed by Platform Teams

  • 5X faster provisioning, Zero ticketOps

How rich is your SDLC Context?

Complete understanding of your infrastructure ecosystem

Service Architecture

Dependencies and communication patterns across your microservices ecosystem

Environment Topology

Resource configurations and variations across dev, staging, and production environments

Deployment Patterns

Release frequency, success rates, and risk assessment patterns for continuous improvement

Cost Attribution

Spending patterns and optimization opportunities across teams and projects

Security Posture

Policy compliance and risk assessment with automated governance tracking

Performance Metrics

Resource utilization and scaling patterns for intelligent capacity planning

AI x Platform Engineering Impact

60%
Reduction in Time to Recovery
Minutes
To address cost overruns
10 mins
To author new Terraform modules

Bring your own Agents on Facets Orchestrator

The next competitive advantage belongs to organizations that extend AI orchestration to enterprise scale, not just individual productivity.