AI Execution Platform

Turn signals into governed execution and measurable impact

Planerix closes the execution gap between dashboards and business outcomes with one tenant-aware operating system for data truth, AI recommendations, approvals, and delivered actions.

Execution AI for decisions, tasks, approvals, and outcomes
Connect -> Truth -> Agents -> Actions -> Impact
Enterprise governance with run logs and policy controls

Execution Gap

Most teams have insights, but no closed loop

Signals stay in dashboards and chats.
Ownership is unclear and actions are delayed.
Planerix creates tasks, approvals, and outcomes from every critical signal.
Policy-aware automationTime-to-value in weeks

The Planerix closed-loop model

The platform continuously turns data into recommended actions and tracks impact with full auditability.

Connect

CRM, ads, analytics, finance, and operations sources are normalized into one contour.

Truth

KPI semantics, ownership, and quality checks create one reliable operating layer.

Agents

Role-based AI agents detect anomalies, explain root causes, and recommend actions.

Actions

Recommendations become tasks, projects, approvals, and workflow runs in product.

Impact

Before and after KPI deltas are tracked to prove business outcomes, not activity.

Architecture for enterprise-grade multi-tenant execution

Inspired by the platform architecture in our presentation: isolated tenant runtime, shared governance, and one execution engine across clients.

Control Plane

Policies, approvals, routing, and observability for governed execution.

Data Plane

Tenant-aware entities, KPI registry, attribution models, and source lineage.

AI Plane

Domain agents, orchestration, action proposals, and role-specific briefings.

Memory Plane

Decisions, playbooks, docs, and run history for contextual recommendations.

Outcome playbooks teams can launch fast

Start with proven integration packs and expand into client-specific execution contours.

Marketing Analytics Pack

Connected sources

Meta AdsGoogle AdsGA4
Budget pacing control
Creative fatigue alerts
CPL/CAC trend actions

Revenue Attribution Pack

Connected sources

CRMAdsPayments
Contract attribution integrity
ROAS by revenue truth
Funnel SLA signals

Executive Ops Pack

Connected sources

GmailCalendarRead.ai/Meetings
Daily leadership brief
Commitment tracking
Task auto-creation

6-8 week pilot roadmap

A structured rollout path from discovery to first proven KPI impact.

Phase 1

Discovery and contour design

Days 1-5

Business goals, KPI semantics, owners, and integration map.

Phase 2

Connection and truth layer

Weeks 1-2

Source onboarding, QA, metric registry, and baseline dashboards.

Phase 3

Agent rollout and execution pilot

Weeks 3-8

Action workflows, policy setup, and measured before/after impact.

Quick consultation

Request a fast consultation

Share your name, email, and country to schedule a quick planning call.

  • Short discovery call within 1 business day
  • Review your KPIs, data sources, and workflow goals
  • Receive a pilot outline with timing and scope
Global teams welcomeFull request form

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Next step

Deploy Planerix as your execution operating system

Book a focused demo, open the app, or test the demo workspace to see the full loop in action.