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Planerix AI Execution OS

Planerix is the AISOLUTIONS flagship AI execution platform: a multi-tenant environment where operational data, KPIs, CRM context, tasks, OKRs, meetings, AI agents, recommendations and automation workflows connect into one execution system.

Planerix public product website showing AI execution operating system positioning
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Flagship AI platform

A flagship AI execution OS connecting company data, AI agents, recommendations, workflows and measurable follow-through.

Live Planerix product surface captured from planerix.com.

AI Execution Model

From operational data to AI-assisted execution

Planerix is positioned as an execution environment, not a reporting dashboard. The platform connects insight, recommendation, owner, workflow, result and memory into one operational loop.

Operational Data

Company context, CRM data, KPIs, tasks, meetings and ownership structures become the execution source of truth.

AI Agents

AI works with approved knowledge, semantic metrics and tenant context instead of generic chat prompts.

Workflow Execution

Recommendations connect to owners, approvals, tasks, automations and measurable follow-through.

Visibility & Memory

Leadership sees decisions, actions, status, impact and operational memory across the execution cycle.

Operational Problem

Why this system exists

Growing companies already have dashboards, project tools, CRM, meetings and AI experiments, but leadership still has to manually translate insight into decisions, owners, tasks, follow-up and measurable impact.

Architecture Value

Planerix proves AISOLUTIONS can design and operate an AI execution OS with enterprise web, backend API, tenant data architecture, observability, AI runtime, deployment gates and a clear path from data to insight, recommendation, action, impact and operational memory.

System Surface

What the implementation proves we can build

Multi-tenant execution workspace
Organizations, projects, tasks, OKRs and KPI context
Meeting, calendar, approval and owner follow-up workflows
CRM, customer and revenue context
Raw, staging, warehouse and semantic analytics layers
AI insights, RAG, recommendations and automation agents
Data to insight to recommendation to action loop
Enterprise web, backend API, observability and mobile surfaces

One shared execution environment for leadership and teams

AI grounded in real company context, not generic prompts

Recommendations connected to owners, tasks and workflows

Execution visibility across decisions, approvals and follow-through

A controlled path from pilot team rollout to broader AI automation

Build the AI execution environment behind your business operations

Start with an operational systems audit. We will map workflows, data, tools, AI opportunities and bottlenecks, then design the ERP/CRM, automation, analytics, mobile or AI execution layer that creates the clearest business impact.