AI Autopilot

Autopilot closes the loop. On a cycle it observes the state of your customers and campaigns, plans the next-best actions against your goals, executes them through the same engine you'd use by hand, analyzes what happened, and reports back: turning Banchurn from a tool you drive into a system that drives itself, with you setting the goals and the guardrails.

app.banchurn.com/autopilot
Banchurn
Naridon
Workspace
Overview
Customers
Segments
Campaigns
Engage
Automations
Templates
Churn
Intelligence
Measure
Analytics
Settings
Mmo@banchurn.com
Overview /AI Autopilot
Search ⌘KN
CycleGoalsGuardrails
Goal · reduce 30-day churn running · every 30m
01
Observe214 customers crossed risk ≥ 60 this cycle
02
PlanEnroll critical (38) in win-back; offer 62 a nudge
03
Execute38 enrolled · 62 nudged · 12 flagged for review
04
AnalyzeWin-back re-engaged 41% of last cohort
reported to #retention · every action logged & reversible
The problem

The platform can do everything, but someone still has to run it

Segments, campaigns, automations, scoring: the capability is there, but it takes a person watching dashboards, deciding what to send, and wiring it up. Between busy weeks, the retention work that matters most quietly doesn't happen.

How it works

The flow, end to end

01

Observe

Autopilot reads the current state of customers, segments, and recent campaign results.

02

Plan

It proposes the next-best actions against your goal and guardrails.

03

Execute

Approved actions run through the real engine: sends, enrollments, segment moves.

04

Report

It analyzes the outcome, adapts the plan, and writes back a plain-language report.

Capabilities

What's in the box

Observe → report loop

A recurring cycle: observe, plan, execute, analyze, adapt, and report.

Goal-driven

You set the objective (reduce churn, lift activation) and Autopilot plans toward it.

Acts through the engine

It uses the same segments, campaigns, and automations you would, nothing hidden.

Guardrails & config

Frequency caps, allowed actions, and approval gates keep it inside your lines.

Full audit log

Every observation, decision, and action is logged so you can see exactly what it did and why.

Human in the loop

Run it in suggest-only mode or let it execute: the choice is per action class.

The loop

Observe, plan, execute, analyze, all on a cadence

Rather than a one-shot suggestion, Autopilot runs a continuous cycle. It looks at where your customers are, decides what would move your goal, does it, measures the result, and folds that back into the next cycle: the same loop a good lifecycle marketer runs, at a cadence a person can't sustain.

  • Recurring observe → plan → execute → analyze → report
  • Outcomes feed the next cycle's plan
  • Runs against goals you define, not a black box
app.banchurn.com/autopilot
Banchurn
Naridon
Workspace
Overview
Customers
Segments
Campaigns
Engage
Automations
Templates
Churn
Intelligence
Measure
Analytics
Settings
Mmo@banchurn.com
Overview /AI Autopilot
Search ⌘KN
CycleGoalsGuardrails
Goal · reduce 30-day churn running · every 30m
01
Observe214 customers crossed risk ≥ 60 this cycle
02
PlanEnroll critical (38) in win-back; offer 62 a nudge
03
Execute38 enrolled · 62 nudged · 12 flagged for review
04
AnalyzeWin-back re-engaged 41% of last cohort
reported to #retention · every action logged & reversible
Trust by construction

It only does what you'd let a teammate do

Autopilot acts through the same audited engine you use, inside guardrails you set: allowed action types, frequency caps, and optional approval gates. Every step is logged, and you can keep it in suggest-only mode until you trust it. It's an operator you can inspect, not an oracle you have to believe.

  • Configurable guardrails and per-class approval gates
  • Every observation, decision, and action logged
  • Suggest-only or execute: your call, per action class
app.banchurn.com/autopilot
Banchurn
Naridon
Workspace
Overview
Customers
Segments
Campaigns
Engage
Automations
Templates
Churn
Intelligence
Measure
Analytics
Settings
Mmo@banchurn.com
Overview /AI Autopilot
Search ⌘KN
CycleGoalsGuardrails
Goal · reduce 30-day churn running · every 30m
01
Observe214 customers crossed risk ≥ 60 this cycle
02
PlanEnroll critical (38) in win-back; offer 62 a nudge
03
Execute38 enrolled · 62 nudged · 12 flagged for review
04
AnalyzeWin-back re-engaged 41% of last cohort
reported to #retention · every action logged & reversible
6
steps: observe → plan → execute → analyze → adapt → report
100%
of actions logged and auditable
1
engine: no hidden side channel
you
set the goals and the guardrails

Stop losing customers you could have kept

Book a walkthrough and see churn prediction, account signals, segments, campaigns, destinations, and Autopilot working together, on one platform.