SOLUTIONS

Artificial Intelligence

We have worked alongside airlines, airports, and travel businesses long enough to know where AI genuinely moves the needle — and where it doesn't.

Deploying AI in travel is not like deploying it anywhere else. Flight operations run within tight regulatory windows. Pricing decisions cascade across global distribution systems in seconds. Crew planning intersects union agreements, fatigue rules, and live operational constraints simultaneously. Getting AI wrong in these environments is not just a technical problem — it is a business risk. That is why our AI CoE is built differently. Our models are informed by domain-specific knowledge, our teams understand the operational constraints your systems work within, and our delivery approach protects your core business while embedding intelligence where it creates tangible value.

FOCUS AREAS

Innovate for growth Engineer for productivity Operate for efficiency

AI for business innovation

Domain-aware AI in airline core and customer functions — delivering smart, predictive services, superior experiences, and sustainable growth engines.

Airlines and travel businesses sit on rich, untapped intelligence - but most AI deployments never get close to it. Our approach embeds AI into the commercial and customer workflows that drive revenue and loyalty, using domain-specific models calibrated to how travel actually works.

Make every customer interaction smarter

Move beyond rules-based segmentation. Our AI reads traveler intent, journey context, and loyalty history together – surfacing the right offer at exactly the right moment, whether at booking, at the gate, or during disruption.

Hyper-personalized offers

Ancillary revenue per booking increases when offers feel relevant rather than intrusive. Consistent experience across web, app, and agent channels.

Demand-aware pricing

Continuous pricing intelligence embedded directly into commercial workflows. Improved yield across network and inventory, reduced dependency on manual overrides.

Conversational AI & virtual agents

Intelligent chatbots, mail bots, and domain-specific virtual agents including KE MailBot, Bag Buddy, and arrival service automation.

Grow intelligently with domain-aware AI

Co-intelligence & human-in-the-loop

Specialised offerings with data annotation, domain expertise, and custom model evaluation combining LLM-as-a-judge and HITL approaches.

Domain language models

Purpose-built industry language models that leverage proprietary domain assets to provide superior accuracy, lower response times, and cost-efficient AI performance beyond what general-purpose LLMs can offer.

Agentic AI for business workflows

Multi-agent AI solutions built with AgentCraft to automate complex airline business workflows, arrival services, and cross-functional orchestration.

Shorten the path from ideation to product features

AgentCraft

A platform-agnostic AI agent engineering platform — build intelligent agents on any ecosystem, retain full ownership of agent logic, and self-host without vendor lock-in.

FlightPath CX

Journey-centric optimisation across every passenger touchpoint — from initial search to post-flight follow-up, accelerating integration without core system risk.

Outcomes we deliver

20%

Uplift in booking conversion rates

12pt

Improvement in customer satisfaction scores

10%

Reduction in passenger churn

AI as co-engineer in the SDLC

Build faster, more reliable, and more robust airline software — powered by AI-driven development platforms, tools, and adaptive learning for engineering teams.

AI does not just belong in customer-facing products, but it also belongs in how you create them. Our domain-aware AI platform accelerates every stage of your delivery lifecycle, from requirement analysis through testing and ongoing support - translating to faster time to value, better quality at launch, and a lower cost of change as needs evolve.

Accelerate every stage of delivery

AI Studio - Dev platform

AI-driven development platform integrating generative AI into requirements, architecture generation, and code review — grounded in domain-aware aviation software patterns.

AI re-engineering toolkit

Faster system upgrades, security assessments, tag library updates, and knowledge management — accelerating legacy modernisation without core system risk.

ElicitQ

AI-assisted requirement capture that identifies gaps and ambiguities before they become costly downstream defects.

GeniQ – Intelligent test platform

AI-driven domain-based quality engineering platform featuring test case management, test data generation, and scalable test automation for higher productivity, enhanced coverage, and faster time-to-market.

Knowledge & documentation AI

Enterprise search and RAG solutions that surface engineering knowledge across teams — accelerating onboarding and reducing cognitive load on senior engineers.

TestLife.AI

End-to-end test lifecycle orchestration with intelligent prioritisation across platforms and environments.

Outcomes we deliver

30–40%

Faster time-to-market for AI-assisted delivery

25%+

Developer productivity gain across SDLC

<50%

Reduction in defect escape rate at launch

AI as co-operator in operations

Self-healing, self-managed systems that boost efficiency, reduce disruptions, and continuously improve operational performance across airline and travel enterprises.

Irregular operations are where reputations are made or broken. Our predictive operations models help you get ahead of delays, crew shortfalls, and maintenance issues - while AI-powered recovery tools enable faster resolution and more effective communication when disruptions do occur.

Keep operations running, even when things go wrong

AIOps & autonomous infrastructure

Intelligent operations platform for proactive incident detection, automated remediation, and operational observability — reducing MTTR and reactive firefighting costs.

HealOpsAI — Auto infrastructure healing

Autonomous agent for automatic infrastructure healing, minimising downtime without human intervention.

CloudIntel — MCP-based cloud migration AI

AI Agent MVP for infrastructure landscape analysis and cloud migration planning using Model Context Protocol architecture.

Cognitive managed services

AI-powered managed services with self-serve chatbots, domain-specific mail bots, and intelligent agents — reducing tier-1 support load and improving first-contact resolution.

Predictive monitoring & maintenance

Proactive anomaly detection, performance prediction, and automated alerting — catching degradation before it becomes customer-visible downtime.

Cloud cost optimization AI

AI-driven cloud resource analysis, rightsizing recommendations, and continuous cost governance — ensuring AI ambitions don't collide with cloud cost reality.

Outcomes we deliver

25%

Faster resolution of customer wait times

15pt

Improvement in Net Promoter Score

25%

Drop in passenger complaints

FOUNDATION LAYER

Data & intelligence foundations

The layer everything else depends on — unify your data and start deriving real-time intelligence without a multi-year transformation as a prerequisite.

Most AI failures in travel trace back to fragmented, inconsistent data. We help you unify customer, operational, and partner data into a single contextual layer, and embed AI on top of it without requiring a full re-architecture of core systems.

DataJet

Unified, AI-ready data foundations with real-time ingestion and governance built in from the start. Establishes a single source of truth for AI, analytics, and operations.

StreamJet

Real-time event streaming for operational intelligence at the pace your operations demand — enabling real-time signals for real-time decision-making.

RESPONSIBLE AI

Responsible AI & governance

As AI becomes embedded in mission-critical decisions, explainability and compliance are no longer optional.

We design every AI system with transparency, auditability, and cybersecurity as foundational requirements, not as afterthoughts bolted on before go-live. This enables organisations to scale AI across complex operational environments with confidence.

Explainability by design

Every AI decision is traceable and explainable — meeting the scrutiny of regulators, boards, and operational teams in safety-critical environments.

Governance & compliance built in

AI policies, risk controls, and review workflows established from the first sprint. Governing privacy, security, model usage standards, and legal review across all AI use cases.

Responsible AI principles

Fairness, accountability, and transparency applied from model design onward. Cybersecurity-resilient deployments across cloud environments, with continuous monitoring.

HOW WE ENGAGE

How we engage

From the first conversation to enterprise-scale value — our engagement model is designed to get you to production, properly.

We build AI features and assets with the end state in mind, combining governance frameworks, ROI tracking, and composable architecture that makes scaling both straightforward and defensible.

Lighthouse PoC

Focused proof-of-concept with clear go/no-go criteria — validating AI value in your specific context before broader commitment.

Fixed-scope engagement

Defined deliverables, timelines, and milestones — from pilot to production build with clear ROI accountability from the first sprint.

Subscription / managed AI

Ongoing managed AI services, MLOps, and value-share models tied to measurable business KPIs — productivity, cost savings, revenue uplift.

CORE CAPABILITIES

Explore our competitive edge

Our FDEs have spent years understanding how airlines operate, how revenue decisions cascade across a global network, and where operational constraints intersect with real customer experience. That depth means our models are calibrated to operational reality - not just trained on generic data. It is the difference between AI that works in a demo and AI that holds up during an irregular operation.