Governed AI for aviation
What is best for this passenger.
SkyAide reads the systems you already run, PSS, loyalty, operations and partner feeds, and works out what is best for the passenger and the airline together, including doing nothing at all. Before anything reaches a passenger, it clears two gates: a deterministic policy gate, and an independent fairness governor. Every decision is recorded and reproducible.
Design partner program
We are onboarding a small number of carriers as design partners. Shadow-mode evaluation, no passenger impact, full audit access from day one.
Disruption recovery · worked example
A. Nguyen
event ZZ·2418 GRU→FRA canceled · mechanical · 4h propagation
3 options, ranked on net value to passenger and airline
The value principle
SkyAide determines what is best for this passenger, this airline, and this journey. Not merely what is most likely to be purchased.
The decision loop
Every SkyAide capability, from meal prediction to disruption recovery, runs the same loop. Select any step to see what happens there.
Step 01 · Observe
Observe
Ingest normalized context from airline, loyalty, partner, operational, and passenger-authorized sources. Field-level provenance and freshness stamps travel with every fact.
Why SkyAide
| Capability | General-purpose AI | Airline rules engine | SkyAide |
|---|---|---|---|
| Reads all airline + loyalty + partner systems | partial · via APIs | yes · but siloed | normalized · provenance |
| Optimizes for passenger AND airline AND partner | single objective | airline only | multi-objective |
| Deterministic decision gate on material actions | model decides | rules · brittle | Trust Governor |
| Measures uplift vs. counterfactual | click-based | not measured | causal · uplift-measured |
| Keeps your data inside your own tenant while still learning | shared models | isolated · learns nothing | isolated by construction |
| Independent fairness, consent and value check before a passenger sees anything | no such gate | not modelled | independent · can veto |
| Auditable, reproducible decisions | prompt logs only | rule trace | full audit ledger |
Three layers · one platform
01 / Intelligence
The decision loop and the value principle. Every capability supports the safest useful operating mode available: diagnostic, read-only, shadow, recommendation-only, approval, or bounded automation.
02 / Foundation
Thirty shared capabilities that every passenger-facing feature reuses, covering connectors, identity, typed actions, policy, measurement, and cross-customer learning. Nothing gets rebuilt per feature.
03 / Journey
Flagship modules that ride on the foundation. Journey value optimization, disruption recovery, meal & catering intelligence, loyalty benefits, partner marketplace, preference passport, and group-journey solving.
Flagship modules
Value · optimize
Multi-objective optimization across passenger utility, airline margin, partner obligation, and operational cost. Outputs a ranked slate, not a single guess.
Recover · rank
When a flight breaks, evaluate rebook / reroute / refund / hotel / ground transfer options at passenger granularity, ranked by joint passenger and airline value.
Cater · predict
Predict acceptance from route, cabin, tenure, dietary constraint, and cultural context. Optimize galley loads for waste, cost, and passenger value.
Loyalty · optimize
Best use of miles, credits, upgrades, and status benefits for each passenger, including the recommendation to hold rather than spend.
Offer graph
Every eligible airline, alliance, interline, partner, loyalty, and airport offer expressed as one graph the optimizer can traverse.
Passport · consent
A portable preference passport the passenger owns. Opt-in, cross-airline, revocable per scope, per party, per purpose.
Group solve
Treat the traveling party as one decision, so seating, meals, disruption recovery, and loyalty benefits are solved together rather than one PNR at a time.
The Trust Governor
Two gates stand between a model and a passenger record. A deterministic policy gate decides whether an action may run at all. An independent fairness and value gate decides whether it should ever reach the passenger. Together they are the Trust Governor.
The objective is not to give AI broad system access. It is to give it a finite, typed, permissioned and auditable set of airline and partner capabilities it can use safely. Every material action clears the preconditions, permission scopes, risk class, dry-run cost, human approver and audit trail before it runs.
The second gate, the fairness and value governor, checks the decision itself, and it is independent of the policy gate. It enforces consent and purpose, transparency, contact frequency, suitability, value floors, non-discrimination, accessibility and price fairness, and it screens for proxy discrimination, unjustified differential treatment and dark patterns. It can veto an action the policy gate has already allowed. Nothing that reaches a passenger executes without a reproducible reason.
08:41:22 recovery · rebook_pax(A.Nguyen) approved · Δcost −$142
08:41:20 value · rank_slate(SIN-LHR) recommend · conf 0.94
08:41:17 cater · predict_meal(J.Osei) predict · halal · veg
08:41:14 loyalty · loyalty_hold(K.Ito) hold · do not spend
08:41:11 context · readiness_check route to human · insufficient
08:41:08 group · solve_group(family) recommend · seats +3
08:41:04 recovery · reroute(M.Silva) approved · via LIS · Δ +$38
08:41:01 offers · offer_graph.build(HND) read · 1,204 edges
Deployment shape · pilot in six weeks
SkyAide deploys inside your existing architecture. The clock starts when your team grants read-only access to the feeds, typically PSS, loyalty and operations, and that is the only thing we need from you to begin. We start read-only, prove the recommendations in shadow against calls your team actually made, and unlock anything further only after your ops and security teams sign off the Trust Governor.
Weeks 0 to 1
Starts when you grant read-only feed access. Connectors to PSS, loyalty, ops, and partner systems. Field-level provenance, freshness stamps.
diagnostic · read-onlyWeeks 2 to 3
SkyAide runs the decision loop in parallel with your existing systems. No execution. Every recommendation is logged.
shadowWeeks 3 to 5
Your ops team sees SkyAide's ranked slates in-app, decides, and executes. Every override is a learning signal.
recommendationWeek 6+
Trust Governor approved. Bounded automation for low-risk actions; approval workflow for material ones. Uplift measured.
approval · bounded autoSecurity & data protection
SkyAide is designed for security review. Every control below is a property of how the platform is built, so it is verifiable during evaluation, before any passenger record is in scope.
Every airline is a separate tenant boundary. Cross-customer learning moves model updates under a differential privacy budget. Records never move.
AI is never granted broad system access. It may call only cataloged actions, each carrying explicit permission scopes and a risk class.
A second gate, independent of the policy engine, checks consent, purpose, suitability, value floors, non-discrimination, accessibility and price fairness before anything reaches a passenger, and screens for proxy discrimination and dark patterns. It can veto an action the policy engine allowed.
Every recommendation, approval, denial, override and execution is written to an append-only audit record that can be replayed.
A model never decides whether a material action runs. A deterministic engine evaluates preconditions, scopes, approver eligibility and dry-run cost.
Passenger preference data is opt-in and revocable per scope, per party, and per purpose. Consent state is enforced at the action gate.
SkyAide starts read-only and in shadow. Nothing touches a passenger record until your ops and security teams sign off the Governor.
Book a demo
We'll connect a shadow tenant to your PSS, loyalty, and operational feeds. In three weeks you'll see governed recommendations. In six, measured uplift.
Book a demo