Industries

Grounded in the way your industry works

Industry knowledge, enterprise platforms and specialist teams come together around how your sector runs, through vertical AI shaped by its rules, systems and people.

Business team collaborating around a laptop
Industry knowledge. Enterprise capability.

Where industry knowledge meets enterprise capability

Aionos brings vertical domain expertise to each sector, working within its own systems, regulation and terminology, so every solution fits the way that industry already operates.

Travel & aviation

Revenue, service recovery, disruption handling and passenger experience.

AI in aviation and the wider travel industry only works when it understands fares, schedules and passenger records.

Discuss a travel & aviation priority ↗
Challenges
  • Disruption recovery throttled by manual re-accommodation and contact-centre capacity
  • Fare filings, rules and penalty logic parsed by hand, with compliance exposure on every reissue
  • Passenger name records, loyalty and payment data siloed across legacy reservation and ancillary systems
  • Multilingual service demand outpacing rule-based bots and shared mailboxes
  • Peak-load spikes that stress application programming interfaces (APIs), agents and inventory systems at once

Solutions

Fare rules in seconds

fares, rules and penalties turned into one structured answer for the agent

Sovereign Agent Factory
Disruption handled across channels

passengers rebooked and kept informed by chat, app or phone in one flow

Customer Experience & Growth
A complete passenger record

booking, loyalty and payment data joined in a single view

Data & MarTech
Service in every language

requests understood and answered in the traveller's own language

Customer Experience & Growth
Early warning on disruption and demand

signals tracked so teams act before queues build

Data & MarTech

Transport & logistics

Visibility, automation and exception resolution.

AI in logistics earns its place when exceptions are caught early and resolved without a chain of emails.

Discuss a transport & logistics priority ↗
Challenges
  • Shipment, asset and partner data spread across transport, warehouse and carrier systems, with no single event stream
  • Exceptions detected only after a service-level breach, then resolved over email
  • Demand and capacity planning run on batch data that is already out of date
  • Status queries flooding service teams that lack real-time tracking data
  • Billing and reconciliation dependent on manual extracts and spreadsheets

Solutions

Live visibility

orders, shipments, assets and partners in one view

Data & MarTech
Exceptions caught early

delays predicted and traced to their cause

Sovereign Agent Factory
Proactive customer updates

status shared across channels before customers ask

Customer Experience & Growth
Automated billing and reporting

invoices and reports generated without spreadsheets

Data & MarTech
Operations that keep running

continuity and recovery for the systems logistics depends on

Cybersecurity & Resilience

Hospitality

Guest experience, loyalty and service productivity.

AI in hospitality has to serve the guest in the moment and the business across every property.

Discuss a hospitality priority ↗
Challenges
  • Guest interactions fragmented across property management systems, mobile apps and messaging channels
  • Stay, preference and loyalty data locked in property-level systems, out of reach in real time
  • Labour scheduling that cannot react to live occupancy and demand
  • Static, segment-wide offers in place of real-time personalisation
  • Inconsistent data residency and consent handling across properties and brands

Solutions

One guest conversation

front desk, app and messaging requests handled in a single thread

Customer Experience & Growth
Guest history at hand

stay, preference and loyalty data in front of staff when it matters

Data & MarTech
Offers that fit the guest

upgrades and offers matched to each guest's profile

Data & MarTech
Back-office work automated

finance and administrative tasks handled by agents, with people on the exceptions

Enterprise Platforms
Consistent privacy

the same data controls at every property

Cybersecurity & Resilience

Telecom

Revenue, cost efficiency and customer retention.

AI in telecom has to work across regions, networks and millions of customer records at once.

Discuss a telecom priority ↗
Challenges
  • Data fragmented across operations and business support systems, regions and integration tools
  • Ticket backlogs across wireless and wireline, with incident and order fallout handled manually
  • Regulatory filings and disaster recovery drills executed by hand, leaving audit gaps
  • Churn models that flag risk too late to retain the customer
  • Legacy data engineering tooling with high licence cost and limited scalability

Solutions

Unified data across regions

an orchestrated data platform, deployed hybrid

Data & MarTech
Faster support

routine cases automated, complex ones routed with full context

Customer Experience & Growth
Automated regulatory submissions

validated filings with a complete audit trail

Cybersecurity & Resilience
Churn caught in time

usage and churn signals acted on before customers leave

Data & MarTech
Lower vendor cost

legacy tooling replaced with a scalable platform

Data & MarTech

BFSI

Onboarding, fraud reduction and governed AI.

Banking, financial services and insurance need AI that regulators can examine and customers can trust.

Discuss a BFSI priority ↗
Challenges
  • Know-your-customer checks and onboarding throttled by manual verification and legacy core banking
  • Rule-based fraud detection that misses emerging patterns
  • Regulatory pressure to evidence recovery time and recovery point objectives
  • Critical applications without an automated, tested disaster recovery runbook
  • Service catalogues and workflows incompatible with modern self-service portals

Solutions

Faster onboarding

onboarding workflows modernised on current platforms

Enterprise Platforms
Fraud spotted sooner

fraud and anomaly models monitored and explained in production

Sovereign Agent Factory
One-click recovery

tested disaster recovery, with ISO 22301 reports for regulators

Cybersecurity & Resilience
Data that stays in-country

sovereign infrastructure for regulated workloads

Sovereign Agent Factory
Portal-ready services

service catalogues redesigned for self-service

Enterprise Platforms

Healthcare

Navigation, administrative efficiency and patient experience.

In healthcare, AI supports clinicians and administrators, while people stay accountable for every outcome.

Discuss a healthcare priority ↗
Challenges
  • Strict privacy regulation and clinical governance slowing AI adoption
  • Patient data fragmented across electronic health records, billing and administrative systems
  • AI outputs that need clinician validation before anyone can act on them
  • Administrative load, from prior authorisations to scheduling and coding, diverting clinical time
  • Patient navigation across referrals, appointments and follow-ups still left to phone and paper

Solutions

A shared data foundation

clinical and administrative data governed in one place

Data & MarTech
Risk spotted earlier

risk stratification, with clinicians validating every score

Sovereign Agent Factory
Less paperwork

scheduling, referrals and administrative tasks automated

Enterprise Platforms
Easier patient journeys

appointments, referrals and follow-ups guided across channels

Customer Experience & Growth
Traceable recommendations

every recommendation logged and explainable

Cybersecurity & Resilience

Evidence in action

What changed when
the work went live.

Industry knowledge, platforms and specialist teams come together around the outcome each client needed.

Airliner at an airport gate — illustrative photo, not the featured client
Travel & aviationMiddle East

Sovereign Agent Factory · Travel & aviation · Middle East

From 15 minutes to seconds: AI-powered fare rule parsing

3x faster processing
81% lower API latency
Read client story

Challenge

Interpreting airline fare rules and penalty calculations was manual and error-prone

One complex fare change took an agent up to 15 minutes

Compliance risk at every step

Solution

AI parses fare data and returns a structured one-line result in seconds

The agent reviews, decides and moves on

Judgement stays human, while AI agents do the heavy lifting

Results

3x faster processing

10x growth in tickets resolved

81% lower API latency

Shipping containers at a port
Transport & logisticsUSA

Data & MarTech · Transport & logistics · USA

From spreadsheets to a unified AI and machine learning data platform

125 reports automated
90 minutes → seconds for invoice generation
Read client story

Challenge

A growing brand portfolio brought growing billing complexity

Manual downloads, spreadsheet invoicing and disconnected systems slowed operations and invited errors

Finance teams spent hours on tasks that should take seconds, with no time left for analysis

Solution

A unified data automation platform removed the manual layer

Invoice calculations now run automatically and reports generate in seconds

With AI and machine learning foundations in place, the team moved from data entry to insight, exceptions and growth

Results

125 reports automated

90 minutes → seconds for invoice generation

Zero manual time per report

Telecommunications infrastructure at sunset
TelecomUnited Kingdom

Data & MarTech · Telecom · United Kingdom

One platform in place of integration tool sprawl

$500K+ cost savings
4x faster delivery cycles
Read client story

Challenge

Several disconnected integration tools

High operational complexity

Manual, code-heavy processes

Solution

An enterprise-wide data orchestration platform that streamlined integration and reduced reliance on custom code

Data replication, migration workflows and transformation on one platform

Governance, lineage and data quality frameworks with enterprise-grade security

A foundation ready for AI and machine learning use cases

Results

$500K+ in cost savings

4x faster delivery cycles

Fewer integration tools to run

Led with: Chief Digital and Information Officer, Director of Architecture and Systems Strategy, Enterprise Data Architect

Financial consultation
BFSIIndia

Cybersecurity & Resilience · BFSI · India

Major private bank achieves uninterrupted operations with resiliency automation

50% faster recovery
1-hour recovery objectives met
50%+ lower total cost of ownership
Read client story

Challenge

No disaster recovery plan for business and core service applications

A complex, mixed IT estate supporting a nationwide branch network, with little visibility of recovery readiness

Heavy dependence on specialists to run disaster recovery activities

No single dashboard, and recovery reports that did not meet the ISO compliance expected by the central bank

Solution

Application recovery at the recovery site, orchestrated through customised recovery plans

230 applications configured for recovery across Windows and Unix-based platforms

Native database log shipping across major commercial and open-source databases

Switchover and switchback workflows, email and SMS alerts, and integration with the bank's authentication system

ISO 22301 recovery drill reports generated for audit and compliance

Results

50% reduction in recovery time compared with manual, script-based recovery

1-hour recovery point and recovery time objectives met during drills

50%+ lower total cost of ownership

1-click recovery for hundreds of applications, at any time

Clinicians reviewing information in a hospital — illustrative photo, not the featured client
HealthcareUSA

Sovereign Agent Factory · Healthcare · USA

Data and AI foundry for clinical risk management

300% increase in delivery capacity
Fewer readmission cases
Read client story

Challenge

Clinical workflows and compliance constraints slowed AI adoption

Patient outcomes demanded human oversight from day one

Solution

A data and AI foundry created with the client's own teams at the centre

Clinicians and data scientists working together on one platform

AI surfaces patterns and scores risk, while people validate, interpret and act

First use case: a patient risk scorecard that puts the right information in front of the right clinician at the right moment

Results

300% increase in delivery capacity

Fewer readmission cases

Multiple sellable intellectual property (IP) assets co-created with the client

Retail employee reviewing inventory
RetailIndia

Data & MarTech · Retail · India

AI-powered creative testing turns around return on ad spend

₹29.7 lakh revenue in 90 days
+166% link click-through
Read client story

Challenge

Creative capacity could not keep pace with performance marketing

Key products running below 1.0x return on ad spend

Solution

A closed-loop creative-to-conversion engine with multiple hooks and formats per product

Variants tested against the incumbent, with winners scaled and tired creative refreshed

Results

₹29.7 lakh revenue from new creative in 90 days

+166% link click-through uplift

0.05x → 3.09x return on ad spend on one product line

Start with the outcome

Your industry's hardest problem is our starting point

Start with one problem your sector knows well. We will show how Aionos would solve it on the systems and rules you already run.

Start the conversation

Design review / Content pending