Skip to content

Engineering betterbusiness outcomes

Loading case studies

Loading

Systems for businesses that have outgrown the tools that got them here.

Services

Economics
Consulting
Engineering
Data Engineering
Managed Services
Audits & Diagnostics

Technology

Technology Hub
Ad Lifter
Open Source
Product Roadmap

Resources

Resources
AI News
Docs
Free Tools
AI Library

Company

About
Approach
Why Web Lifter
Team
Careers
Work
Alliances
Contact

Home WorkCase Studies

Case Studies

A result is only half the story.

The other half is how it happened. Each case study sets out the goal we were given, what we did about it and how the outcome was measured, so you can judge the method, not just the number.

Steelmark

Payment Processing Cost Reduction

Goal: Reduce payment processing costs and eliminate unnecessary transaction fees by redesigning the ecommerce checkout and invoicing workflow while maintaining a seamless customer experience.
Result: The project reduced transaction costs from 1.7% + $0.30 charged by Stripe plus an additional 1% charged by Paycove, down to a flat 1% through Westpac PayWay. This reduction generated tens of thousands of dollars in annual savings, directly improving profitability without requiring additional marketing spend, price increases, or sales growth. The business now retains substantially more revenue from every transaction while operating on a simpler and more efficient payment infrastructure.

Read the case study

63%Transaction Fee Reduction

Company Economic Analysis Platform

Goal: Create a central platform for analysing company performance in the context of broader economic trends, market conditions, and operational drivers.
Result: The platform gave leadership and strategy teams a clearer view of how economic conditions related to company performance. It reduced manual reporting effort, improved consistency in analysis, and supported more informed planning conversations.

Read the case study

63%Faster Analysis Preparation

Enterprise Search & Structured Knowledge Graph

Goal: Create a single, intelligent discovery layer for company knowledge by connecting documents, structured records, and business entities into a searchable knowledge graph.
Result: The solution gave teams a faster and more reliable way to find trusted internal information. By combining semantic search with structured entity relationships, users could move beyond keyword matching and discover relevant people, companies, documents, processes, and insights in context.

Read the case study

42%Faster Knowledge Discovery

Next-best-action System for Sale Ops

Goal: Help sales teams prioritise the right action at the right time by turning account, pipeline, and engagement data into practical recommendations.
Result: The system helped sales teams focus on the most relevant next step for each account or opportunity. It improved follow-up consistency, reduced prioritisation effort, and gave sales operations clearer visibility into action quality and completion.

Read the case study

19%More Follow-up Actions Completed

Inbound Enquiry Triage Agent

Goal: Automate the first stage of inbound enquiry handling by interpreting enquiry intent, extracting key information, assigning priority, and routing each enquiry appropriately.
Result: The agent reduced repetitive manual sorting and helped teams respond to inbound opportunities faster. Enquiries were categorised consistently, key details were captured earlier, and high-priority requests were surfaced more reliably.

Read the case study

68%Less Manual Triage

Company Master Data Management — MDM System

Goal: Create a clean and reliable company master dataset by resolving duplicates, standardising fields, enriching records, and establishing governance workflows.
Result: The MDM system improved the reliability of company data across operational and analytical workflows. Teams gained a cleaner source of truth for accounts, reporting, segmentation, enrichment, and automation.

Read the case study

27%Duplicate Records Resolved

Personalised Recommendation Engine for Ecommerce Website

Goal: Improve ecommerce product discovery and conversion by delivering personalised recommendations across key customer journeys.
Result: The recommendation engine improved product discovery by showing customers more relevant products throughout their shopping journey. This supported higher engagement, stronger cross-sell opportunities, and improved commercial performance.

Read the case study

21%Higher Product CTR

Company AI Skills & Evaluation System

Goal: Create a structured system for defining AI skills, testing their performance, and improving reliability before deployment into business workflows.
Result: The system made AI development more measurable and repeatable. Teams could evaluate whether an AI skill was ready for use, identify failure patterns, and improve performance before wider deployment.

Read the case study

31%Evaluation Pass-rate Improvement

Ecommerce Vector Database & RAG

Goal: Enable more intelligent ecommerce search and AI responses by embedding product, catalogue, support, and content data into a retrieval-ready vector database.
Result: The system improved the ability to match customer intent with relevant products and information. It also created a reusable retrieval layer for ecommerce AI experiences, including search, support, recommendations, and product content generation.

Read the case study

3.5xBetter Semantic Matching

Predictive Analytics & Forecasting Dashboard

Goal: Create a dashboard that moved reporting from historical performance tracking to forward-looking insight and decision support.
Result: The dashboard helped stakeholders understand likely future performance, not just past results. It improved planning conversations, reduced manual reporting effort, and gave teams clearer visibility into emerging risks and opportunities.

Read the case study

87%Forecast Accuracy

Customer Service Voice Agent

Goal: Improve customer service availability and efficiency by automating common phone enquiries while preserving escalation paths for complex or sensitive issues.
Result: The voice agent reduced pressure on the support team by handling routine enquiries and preparing better context for escalated calls. Customers received faster initial assistance, and agents gained clearer summaries when human follow-up was required.

Read the case study

46%Automated Call Resolution

Competitor Intelligence Dashboard

Goal: Create a central source of competitor intelligence that helped teams monitor market movement, understand positioning, and respond with better context.
Result: The dashboard reduced fragmented research and gave teams a clearer view of competitor movement. Sales and strategy teams could access relevant insights faster and use them to inform positioning, outreach, and planning.

Read the case study

60%Less Manual Research

Internal Sales Platform

Goal: Create a central sales workspace that helped teams manage accounts, access resources, progress opportunities, and act on better commercial intelligence.
Result: The platform gave sales teams a clearer and more efficient workspace for managing commercial activity. It reduced context switching, improved access to sales resources, and supported more consistent execution across the pipeline.

Read the case study

28%Faster Sales Workflows

Self-service Support Bot

Goal: Reduce support workload and improve customer experience by giving users a fast, accurate, and always-available way to resolve common questions and issues.
Result: The self-service support bot helped customers resolve common issues faster while reducing repetitive ticket volume for the support team. It improved support availability, created a more consistent customer experience, and allowed human agents to focus on higher-value or more complex requests.

Read the case study

71%Self-service Resolution Rate

MCP Server Portal Development

Goal: Build a secure, scalable portal for managing MCP server capabilities and simplifying how developers connect AI systems to approved tools and services.
Result: The portal streamlined MCP server discovery, configuration, and usage. Developers could understand available tools, view implementation guidance, manage access, and connect applications with significantly less manual setup.

Read the case study

72%Fewer Setup Steps

Recognise the problem?

Tell us where the constraint is.

Loading case studies

Home WorkCase Studies

Case Studies

A result is only half the story.

The other half is how it happened. Each case study sets out the goal we were given, what we did about it and how the outcome was measured, so you can judge the method, not just the number.

Steelmark

Payment Processing Cost Reduction

Goal: Reduce payment processing costs and eliminate unnecessary transaction fees by redesigning the ecommerce checkout and invoicing workflow while maintaining a seamless customer experience.
Result: The project reduced transaction costs from 1.7% + $0.30 charged by Stripe plus an additional 1% charged by Paycove, down to a flat 1% through Westpac PayWay. This reduction generated tens of thousands of dollars in annual savings, directly improving profitability without requiring additional marketing spend, price increases, or sales growth. The business now retains substantially more revenue from every transaction while operating on a simpler and more efficient payment infrastructure.

Read the case study

63%Transaction Fee Reduction

Company Economic Analysis Platform

Goal: Create a central platform for analysing company performance in the context of broader economic trends, market conditions, and operational drivers.
Result: The platform gave leadership and strategy teams a clearer view of how economic conditions related to company performance. It reduced manual reporting effort, improved consistency in analysis, and supported more informed planning conversations.

Read the case study

63%Faster Analysis Preparation

Enterprise Search & Structured Knowledge Graph

Goal: Create a single, intelligent discovery layer for company knowledge by connecting documents, structured records, and business entities into a searchable knowledge graph.
Result: The solution gave teams a faster and more reliable way to find trusted internal information. By combining semantic search with structured entity relationships, users could move beyond keyword matching and discover relevant people, companies, documents, processes, and insights in context.

Read the case study

42%Faster Knowledge Discovery

Next-best-action System for Sale Ops

Goal: Help sales teams prioritise the right action at the right time by turning account, pipeline, and engagement data into practical recommendations.
Result: The system helped sales teams focus on the most relevant next step for each account or opportunity. It improved follow-up consistency, reduced prioritisation effort, and gave sales operations clearer visibility into action quality and completion.

Read the case study

19%More Follow-up Actions Completed

Inbound Enquiry Triage Agent

Goal: Automate the first stage of inbound enquiry handling by interpreting enquiry intent, extracting key information, assigning priority, and routing each enquiry appropriately.
Result: The agent reduced repetitive manual sorting and helped teams respond to inbound opportunities faster. Enquiries were categorised consistently, key details were captured earlier, and high-priority requests were surfaced more reliably.

Read the case study

68%Less Manual Triage

Company Master Data Management — MDM System

Goal: Create a clean and reliable company master dataset by resolving duplicates, standardising fields, enriching records, and establishing governance workflows.
Result: The MDM system improved the reliability of company data across operational and analytical workflows. Teams gained a cleaner source of truth for accounts, reporting, segmentation, enrichment, and automation.

Read the case study

27%Duplicate Records Resolved

Personalised Recommendation Engine for Ecommerce Website

Goal: Improve ecommerce product discovery and conversion by delivering personalised recommendations across key customer journeys.
Result: The recommendation engine improved product discovery by showing customers more relevant products throughout their shopping journey. This supported higher engagement, stronger cross-sell opportunities, and improved commercial performance.

Read the case study

21%Higher Product CTR

Company AI Skills & Evaluation System

Goal: Create a structured system for defining AI skills, testing their performance, and improving reliability before deployment into business workflows.
Result: The system made AI development more measurable and repeatable. Teams could evaluate whether an AI skill was ready for use, identify failure patterns, and improve performance before wider deployment.

Read the case study

31%Evaluation Pass-rate Improvement

Ecommerce Vector Database & RAG

Goal: Enable more intelligent ecommerce search and AI responses by embedding product, catalogue, support, and content data into a retrieval-ready vector database.
Result: The system improved the ability to match customer intent with relevant products and information. It also created a reusable retrieval layer for ecommerce AI experiences, including search, support, recommendations, and product content generation.

Read the case study

3.5xBetter Semantic Matching

Predictive Analytics & Forecasting Dashboard

Goal: Create a dashboard that moved reporting from historical performance tracking to forward-looking insight and decision support.
Result: The dashboard helped stakeholders understand likely future performance, not just past results. It improved planning conversations, reduced manual reporting effort, and gave teams clearer visibility into emerging risks and opportunities.

Read the case study

87%Forecast Accuracy

Customer Service Voice Agent

Goal: Improve customer service availability and efficiency by automating common phone enquiries while preserving escalation paths for complex or sensitive issues.
Result: The voice agent reduced pressure on the support team by handling routine enquiries and preparing better context for escalated calls. Customers received faster initial assistance, and agents gained clearer summaries when human follow-up was required.

Read the case study

46%Automated Call Resolution

Competitor Intelligence Dashboard

Goal: Create a central source of competitor intelligence that helped teams monitor market movement, understand positioning, and respond with better context.
Result: The dashboard reduced fragmented research and gave teams a clearer view of competitor movement. Sales and strategy teams could access relevant insights faster and use them to inform positioning, outreach, and planning.

Read the case study

60%Less Manual Research

Internal Sales Platform

Goal: Create a central sales workspace that helped teams manage accounts, access resources, progress opportunities, and act on better commercial intelligence.
Result: The platform gave sales teams a clearer and more efficient workspace for managing commercial activity. It reduced context switching, improved access to sales resources, and supported more consistent execution across the pipeline.

Read the case study

28%Faster Sales Workflows

Self-service Support Bot

Goal: Reduce support workload and improve customer experience by giving users a fast, accurate, and always-available way to resolve common questions and issues.
Result: The self-service support bot helped customers resolve common issues faster while reducing repetitive ticket volume for the support team. It improved support availability, created a more consistent customer experience, and allowed human agents to focus on higher-value or more complex requests.

Read the case study

71%Self-service Resolution Rate

MCP Server Portal Development

Goal: Build a secure, scalable portal for managing MCP server capabilities and simplifying how developers connect AI systems to approved tools and services.
Result: The portal streamlined MCP server discovery, configuration, and usage. Developers could understand available tools, view implementation guidance, manage access, and connect applications with significantly less manual setup.

Read the case study

72%Fewer Setup Steps

Recognise the problem?