Past Projects

Document Understanding

Industry: Engineering Services
(Current Project)

Challenge:

Intensely manual process to cross check project documentation against requirements, tracking exceptions to ensure project success.

Solution:

Evolving to AI Agents by starting with Q&A chatbots to enable source cross-checking documents uploaded into SharePoint. Agents will be dynamically selected based on the document type. Once analysed the AI agent will notify the person who uploaded the document with actionable guidance.

Technologies:

Microsoft SharePoint, Azure AI Foundry, Azure AI Search, Llamaindex, GPT4o, o3-mini, Copilot Studio, Azure CosmosDB

ROI:

  • Increased market value of this firm to assist in upcoming sale.

  • Significantly reduced cost of servicing projects drives improved margins

  • Reduced risk of projects impacting reputation and outcomes for stakeholders.

Custom AI App Development

Industry: AI Software Startup

Challenge:

Build an AI app which is customer-ready and marketable in a short period of time.

Solution:

We built Jummbo, an app that enables salespeople to quickly identify new prospects they can target. The AI agent guides the user to find suitable business types and locations, searches the internet, and then researches each prospect. It returns a spreadsheet complete with customer names, social media links and tailored cold email and cold call scripts ready to action.

Technologies:

GPT4o and GPT4o mini, MongoDB, NodeJS, React.

Outcome

  • Jummbo.ai is a fast-growing SaaS app designed for sales and marketing teams to accelerate their sales pipeline development.

  • Link: www.jummbo.ai

AI Vision (Vehicle Safety)

Industry: Building & Construction

Challenge:

This company manages tens of thousands of deliveries each year. Although they have stringent safety standards, including manually inspecting each vehicle to ensure loads are securely fastened prior to departure, they wanted to leverage AI to minimise risk further.

Solution:

We helped the customer understand the way multimodal AI models can be used to analyse images.

Through a short POC we quickly showed them how they can perofrm a red/amber/green of photos collected at the warehouse prior to departure identifying potential safety issues.

We then helped the customer’s IT team in a “build with” capacity to take these learnings and apply them to their technology stack.

Technologies:

GPT4o on Azure dedicated compute (PTUs).

Outcome

The organisation has made significant advances across multiple domains in leveraging AI to reduce risk, improve safety and improve general operational performance.

Call Centre Uplifts

Industry: Telco, FInancial Services, Energy
(We have worked multiple projects)

Challenge:

Call centre operators are seeking ways to leverage AI to improve all parts of their call centre operations. These include reducing AHT (average call handling time) and better understanding the needs of their customers.

Solution:

Solutions vary across customer, typically organisations start with a Q&A knowledge chatbot internally, and then extend it to web chat and voice channels to deflect calls and reduce AHT. Setting up a “data product” using speech transcriptions enables these organisations to better understand their customer needs to inform better design of products, services and experiences.

Technologies:

Multiple depending on end customer investments, including AWS Connect, Salesforce Service Cloud Voice and multiple Azure services. Microsoft’s new CCaaS is a very promising offering we expect to work with shortly too.

Outcome

Improved customer satisfaction, reduction in cost to serve, improved marketing outcomes through a deeper understanding of customer needs.

Content Creation

Industry: Web

Challenge:

The customer runs a popular directory related to the primary and secondary agricultural industries in Australia. They wished to enrich the directory with more information about each member listing without expending significant amount of manual effort.

Solution:

We developed a crawler for the organisation that researches each member’s web site, capturing an overview of the company, key products they sell, information about their region and links to their social media sites.

Technologies:

MySQL, OpenAI, NodeJS, Python, Langchain

Outcome

Improved member listings delivers a better consumer experience. Higher quality content on the website has also delivered an increase in web traffic from search, and longer average time on site from visitors.