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Customers

What we have delivered, and what it returned.

Over 100 engagements across AI agents, generative AI, machine learning, data platforms and strategy. We do not name clients, but the results are theirs.

  • Pfizer
  • Johnson & Johnson
  • Visa
  • Singtel
  • UOB
  • Schneider Electric
  • KPMG
  • Haleon
  • Telenor
  • SMRT
  • Mercy
  • SOMPO
  • HBL
  • UBL
  • ComfortDelGro
  • Ooredoo
  • Ocean Network Express
  • PTT
  • Engro
  • Interloop
  • BCA
  • SBS Transit
  • EZ-Link
  • SSM Health
  • Smart Dubai
  • The Bank of Punjab
  • Collinson
  • GardaWorld
  • DFS
  • Limelight
  • Scoot
  • MTM
  • Crisis24
  • xCures
  • Grand European Travel
  • MAHA Agriculture Microfinance
  • Mobilink Microfinance Bank
  • Punjab Information Technology Board
  • Fatima Fertilizer
  • Ministry of Health Indonesia
  • Fibonacci
35 case studies

AI agents

Agents that make decisions and act on them inside client systems. Where a figure is a target rather than a measured result, the case study says so.

40%reduction in case resolution time

An agentic customer service hub for a global pharmaceutical company

A global pharmaceutical company

82%of queries answered by the agent, with 90% accuracy

A knowledge agent for a specialised medical devices provider

A specialised medical devices provider

85%reduction in IT support requests for routine data questions

A plain-language insights agent that frees business users from the IT queue

A large enterprise running on ERP and backend databases

2×search-to-purchase conversion rate

Conversational product search and recommendations for a consumer health brand

A global consumer health company

<2 minaverage response time, down from 24 hours

An HR agent for a manufacturing conglomerate's 5,000 employees

A large manufacturing conglomerate with multiple business divisions

80%less time spent retrieving financial information

A financial insights assistant that answers in plain language

A large manufacturing conglomerate

Intake → postinginvoice lifecycle run by agents, with exceptions routed to the AP team

Agentic accounts payable for an aviation cargo and logistics company

A leading aviation cargo and logistics company

72%reduction in manual policy review time

A regulatory compliance scoring agent on a bank's own servers

A large bank

65%reduction in customer service agent spend in year one

An omnichannel service agent for a fast-growing health services group

A healthcare transport company serving 5 million people

65%of routine KPI questions self-served by digests and the agent

Conversational insights on governed data for a pharmaceutical manufacturer

A leading pharmaceutical manufacturer

Generative AI, machine learning and data platforms

We have been putting this work into production since 2017: knowledge and insight systems, forecasting and scoring models, conversational AI and the data platforms behind them.

80%reduction in information retrieval time

An AI knowledge platform for a bank's credit card division

A leading Australian bank

+2 ptscustomer satisfaction gain in the first six months

Voice-of-the-patient insights for a large US healthcare network

A US healthcare network with 27 hospitals across five states

80%reduction in manual review workload

An Arabic open-source intelligence platform for a government entity

A government entity in Saudi Arabia

50%+reduction in manual data processing time

A generative AI research processing system for a medical institution

A leading medical research institution

21%reduction in call-centre volume

A multilingual customer service chatbot for a land transport operator

A leading land transport operator

45%faster triage response times

Co-developing an AI health triage system with an occupational health provider

An occupational health and safety organisation

40%reduction in average incident resolution time

Incident automation for 25,000 support emails a month

One of Asia's leading telecom operators

10×increase in the scale of quality audits

AI quality audit for every contact-centre call

A leading Asian telecom operator

70%more talent onboarded in three months, with no extra HR headcount

Scaling a transport company's workforce onboarding with AI

A fast-growing transport company

80%improvement in intent understanding accuracy

Optimising a bank's customer service chatbot

A large, well-established bank

70%improvement in machine reliability

Predictive maintenance for a global energy company

A major energy conglomerate

86%prediction accuracy on empty container arrivals

Forecasting empty containers to free up dock space

A container shipping company

2×reduction in data infrastructure and licensing cost

An intelligent data platform for a multinational operator

A multinational telecom operator

3×faster analytics at headquarters across regions

A data mesh across 11 business units

A leading transportation company

10%increase in profitability

A sovereign data ecosystem for a digital microfinance bank

A leading digital microfinance bank

2×reduction in IT infrastructure cost by moving to the cloud

A HIPAA-ready data platform for real-time care decisions

A leading healthcare organisation

22%reduction in the cost of repetitive processes

Turning a five-year strategy into AI operations

An Australian accreditation agency

Baselinetrue organic demand isolated across thousands of products

Separating real promotion uplift from noise

A major retailer

24/7production support and uptime

24/7 managed operations for a telecom data platform

A large telecommunications company

40%less manual review and resubmission effort

Pre-authorisation checks that prevent denials for a healthcare provider

A healthcare provider

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A strategist and an engineer will look at how the work runs today and tell you plainly what kind of AI fits, what it takes and what it will return.