Agentic AI for Private Aviation

Every leg priced. Every hour earned.

Private aviation still runs on instinct: seasonal price sheets, blackout dates, flat peak surcharges and repositioning legs flown empty. CharterWorks turns fleet, crew and demand into one live intelligence layer, with agents that tell you what to price, where to fly and what it's worth.

The Problem

Your fleet decisions are made once. The market moves every day.

Peak pricing is set by season. Corridors are reviewed once a year. Dead legs are accepted as the cost of doing business, and overflow trips quietly go to wholesale providers. Revenue leaks between the schedule, the price sheet and the member experience, and it shows up in the P&L months later.

Value leakage isn't an event. It's every weekend.

The CharterWorks Decision Loop™

Signal to decision to memory. Every trip makes the next one smarter.

Signals become a diagnosis. A diagnosis becomes a recommendation. Your team decides. Outcomes are measured. The next recommendation starts smarter.

Illustrative example

1 · Signal

Peak-weekend pressure detected

  • Northeast → Florida demand up 24% week over week
  • Light-jet availability down 15%
  • 11 repositioning legs scheduled empty
  • Competitor peak surcharge up 6%
  • Revenue at risk: $[X]K this weekend

Signals are moving out of sync.

2 · Diagnose

Yield gap identified

  • Peak days priced at the flat seasonal rate
  • Owned fleet under-positioned for South Florida departures
  • 3 overflow trips headed to wholesale
  • Member demand clustered on Friday departures
  • Estimated gap: $[X]K

Signals become a specific, quantified diagnosis.

3 · Recommend

Options prepared

  • Dynamic peak pricing on top corridors: +8%
  • Stack 4 trips onto repositioning legs
  • Steer flexible members to Thursday slots
  • Recommended path: A + B
  • 72% confidence

Current signals combine with similar past decisions.

4 · Decide

Human judgment applied

  • Approve +6% peak (not +8%)
  • Protect top-tier members from the change
  • Run for the holiday weekend only
  • Owner: RM lead

Your team approves, modifies or overrides, and the rationale is captured.

5 · Act

Move executed

  • Peak pricing live on 6 corridors
  • Member slot guidance live in app
  • 4 of 11 repositioning legs filled
  • Overflow kept in-house
  • Action logged #017

The decision enters the operating workflow.

6 · Measure

Impact tracked

  • Revenue captured +$[X]K
  • Dead legs down 36%
  • Utilization up [X] pts
  • Member satisfaction held
  • Wholesale spend avoided

Outcomes are measured against baseline.

7 · Remember

Learning becomes reusable

  • Pattern saved: holiday corridor surge
  • Playbook saved: price + stack + steer
  • Rationale saved: +6% cap, top tier protected
  • Outcome attached
  • Confidence updated 72% → 80%

The next holiday weekend starts with better context.

Decision Memory

  • ✓Pattern saved
  • ✓Rationale saved
  • ✓Outcome attached
  • ✓Confidence updated
  • ✓Comparable case created

↻ Next similar event → better recommendation

The Agents

Five intelligence agents. One shared view of your operation.

Independently deployable. Each one runs on the same real-time view of fleet, crew and demand, so every decision accounts for every other one.

01

RM Agent

  • Dynamic time-of-day, day-of-week and seasonal pricing by corridor
  • Replaces blackout dates and flat surcharges with continuous, priced demand-shaping
  • Acts as the release valve when crew, maintenance or hangar capacity can't scale
02

Corridor Agent

  • Continuously scores every corridor against fleet capability (range, cabin, mission fit)
  • Flags where owned aircraft lag demand, so you know where to lean in or let go
  • Turns a one-time fleet decision into an ongoing discipline
03

Scheduling Agent

  • Algorithmic trip-stacking and repositioning-leg fill
  • Kills dead legs before they become lost hours
  • Captures internally what currently leaks to wholesale overflow providers
04

Loyalty Agent

  • Proactive, value-based slot guidance instead of blackout-date restrictions
  • Steers members toward high-fit slots that also fill repositioning legs
  • Delivered through the digital experience, not enforced in fine print
05

Sales Agent

  • Gates membership acquisition against real-time fleet and crew capacity
  • Scores prospects by predicted utilization fit, not deposit size alone
  • Links acquisition pace directly to the shared capacity ledger

Control Tower

Fleet state, crew availability, corridor demand, member profiles, pricing history

The Platform in Action

See the Control Tower at work.

Screenshot coming soon

Fleet, crew and demand, live and connected

Every signal in one view, not scattered across scheduling, pricing and CRM tools.

Screenshot coming soon

From signal to diagnosis in minutes

The agent traces the revenue gap to its root cause and hands a structured finding to your team.

Screenshot coming soon

AI recommends. You decide.

Every recommendation carries a confidence score and a risk flag. Your call closes the loop.

What Our Diagnostics Find

Real findings from real operator data.

Private Aviation · Top 5 Branded Charter Operator

10%+

premium revenue uplift

[X]%

utilization gain


A membership-based operator with pricing that rarely changed, leaving peak demand undermonetized and slow periods unfilled.

Premium Extraction Yield Recovery Utilization Competitive Intelligence

“

We'd priced peak weekends the same way for years. CharterWorks showed us exactly where we were leaving money on the table, and how to fill the legs we were flying empty. It's the first system that thinks like our best RM analyst, every single day.

— Senior Vice President, Revenue Management, Top 5 Branded Charter Operator

Why Agentic AI

Not SaaS you operate. Not consultants you re-hire. Bespoke agents with an opinion.

The reasoning lives in the agent, built around how your operation actually runs, not a dashboard you have to read or a deck that's stale the day it's delivered.

Works across the seams

Revenue leaks where pricing meets scheduling, crew meets demand, and sales meets capacity. Agents span those boundaries by design.

Acts before the leg flies empty

Dashboards show last week. Consultants diagnose last quarter. Agents catch the signal while the aircraft can still be repositioned, repriced or filled.

Compounds, not decays

Every decision and outcome feeds back into the loop. Month twelve is structurally smarter than month one.

How We Work

Start with one decision. Prove it on your P&L.

1

Pick the decision

One high-value recurring call, like peak pricing on your top corridors or repositioning-leg fill. We define the owner, the workflow and the metric.

2

Deploy and operate the loop

We build the agents around your fleet, pricing and demand data and run them alongside your team. We operate it; we don't hand it off.

3

Prove the learning

Measure outcomes against baseline, then expand to the next agent on the same Control Tower.

Bespoke. Opinionated. Built around your operation.

Who We Are

Built by operators who have lived commercial complexity.

Amit Saini

Amit Saini

Ex-AWS · Enterprise AI · Supply Chain & Ops

20+ years building and scaling enterprise software for complex operating environments.

Punit Ruia

Punit Ruia

Ex-Booz · Ex-Google · Consumer Brands & Pricing

Serial entrepreneur focused on pricing, growth, and commercial execution for consumer businesses.

Rohit Saini

Rohit Saini

Ex-Deloitte · Ex-EY · AI/ML SaaS Builder

Builds scalable AI, data, and SaaS systems that turn intelligence into usable workflows.

Your fleet is leaving revenue on the tarmac.

We'll show you where, in two weeks, using your own flight, pricing and demand data. Real findings, not a pitch deck.

Based on evidence, not promises.