A four-layer strategic transformation architecture powered by large language models, structured AI reasoning, and intelligent automation — connecting intelligence, decisions, structure, and execution through a shared evidence graph.
The Sense layer is an AI-driven continuous intelligence engine that uses LLMs to ingest, classify, and synthesize signals from competitive, market, customer, technology, and regulatory sources. AI models score signal relevance, generate findings, and automatically trigger assumption reviews when new evidence conflicts with existing strategic decisions.
The Decide layer is an AI-augmented decision operating system that formalizes strategic choices with full evidence trails. AI models monitor assumption health, detect conflicts between new intelligence and existing decisions, and surface affected choices for re-evaluation — turning strategy from a static document into a living, evidence-responsive system.
The Bridge layer uses AI to translate strategic choices into executable structure. It cascades objectives from strategy to teams, uses machine learning to map organizational capabilities against strategic needs, and manages initiative portfolios with AI-optimized investment classification and saturation constraints.
The Transform layer is where AI meets execution. Five connected AI-powered tools handle stakeholder alignment, process transformation, accountability tracking, change adoption, and program delivery. LLMs orchestrate structured conversations, infer organizational relationships, diagnose process bottlenecks, and predict adoption risks. Execution evidence flows back into the Decide and Sense layers, creating a closed AI-driven feedback loop.
Pre-built AI intelligence modules powered by Plaira's Snap Architecture use large language models to deliver multi-dimensional assessments — no code or configuration required. Each module chains multiple AI agents together in a structured reasoning pipeline.
An AI agent pipeline that performs a multi-dimensional readiness assessment, producing a board-ready scorecard across seven dimensions using LLM-driven analysis.
An AI agent that performs individual role assessment with LLM-generated industry benchmarks, strategic alignment scoring, and actionable recommendations.
LLM-powered workflows defined as configuration, not code. Multi-model orchestration across Vertex AI, Gemini, and Claude with automatic provider selection and fallback.
Built on Vertex AI, Cloud Run, Cloud SQL, and Cloud KMS. AI inference at scale with enterprise-grade security and reliability.
Trust Fabric provides Merkle chain verification, external anchoring, and encrypted field storage for every decision and evidence citation.
Fine-grained RBAC, row-level tenant isolation, AES-256-GCM encryption, and SOC 2 compliance path.
Full organizational isolation with enterprise account management, domain verification, and cross-org credit transfers.
Configurable AI agent pipeline engine with LLM-powered step gates, intelligent chaining, dynamic field discovery, and conviction-scored outputs.
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