Data connection
CRM, ads, finance and operations systems feed one business metric layer instead of separate reports.
Planerix
AI execution platform
The product layer behind strategy-to-execution work
Consulting defines the operating system. Planerix keeps it alive: data connection, KPI semantics, AI monitoring, owned actions and impact review in one execution loop.
Execution loop
metrics
become trusted definitions
insights
become decision-ready signals
actions
get owners and deadlines
impact
is reviewed against the plan
Agent network
How consulting turns into an operating product
Planerix is useful only after the business logic is clear. That is why implementation starts with KPI semantics, ownership and decision cadence, not with dashboards for their own sake.
Metric semantics
KPIs get definitions, owners, thresholds and quality checks before automation starts.
AI monitoring
Agents watch anomalies, drift and missing action signals based on business rules.
Owned actions
Insights become tasks with owners, deadlines, priority and a decision trail.
Impact loop
Plan-vs-actual shows which actions move growth, margin, conversion and operational quality.
When Planerix belongs in the engagement
Use it when the issue is not one report, but a repeatable management loop that needs to stay visible after the sprint.
Leadership needs one operating truth
KPI definitions and ownership are scattered across tools and teams.
Actions disappear after meetings
Decision logs, owners and follow-up need one visible place.
AI should monitor execution, not decorate reports
Agents need business rules, thresholds and accountability context.
Start from diagnostic, then decide whether product implementation is needed.
Not every problem needs platform work. If the strongest leak is governance, ownership or attribution, we fix the business logic first and implement Planerix where it can carry the cadence.