Solutions In Action.

The Challenge

For a specialist industrial business, the most valuable opportunities may appear across tenders, project announcements, public registers, industry publications and other online sources. Monitoring those channels manually takes time, and broad keyword alerts frequently generate more noise than useful leads. Oilpath Hydraulics needed a more focused way to identify opportunities that aligned with its actual capabilities.

Our Approach

We worked with Oilpath Hydraulics to define what counts as a relevant opportunity and translate that into an automated workflow: identifying the sectors, services and signals that matter, selecting suitable public sources, defining filtering and qualification criteria, and using AI to interpret and rank what it finds. The workflow was designed to support commercial judgement, not replace it - its job is to reduce manual searching and give the team a focused starting point.

The Outcome

The system now identifies approximately 20 potentially relevant new opportunities per week, giving Oilpath Hydraulics a repeatable source of business-development intelligence while cutting manual research effort. It shows how AI can deliver immediate operational value without an organisation-wide transformation: start with a clearly defined, repetitive task and embed the automation directly into the existing workflow.

The Challenge

Inventorium provides a specialised learning platform for school and vocational students who find conventional education difficult to access - remote learners, homeschooling families and students needing flexible arrangements. Its bespoke Moodle platform ran on a virtual-machine environment that was becoming increasingly complex and costly to maintain. Inventorium needed a foundation that could scale as its user base grew, while improving reliability and security and supporting its ISO 27001 objectives.

Our Approach

We designed a new AWS native architecture that modernised the infrastructure without requiring changes to the Moodle application itself: containerisation using Amazon Fargate, infrastructure as code with AWS CDK, Amazon RDS for managed databases, CloudFront for content delivery, and AWS WAF with supporting security controls. We also secured AWS migration funding to help manage the financial impact of the transition.

The Outcome

The platform now scales more efficiently, and automated infrastructure management has reduced the complexity of maintaining and reproducing the environment. Operational cost and management effort are down, security is stronger, and Inventorium is better placed to protect sensitive student information and produce the reporting its ISO 27001 compliance requires. The migration was completed without changing a single line of Moodle source code.

"I am thoroughly impressed with Moots' work, as they delivered a gold-plated, highly engineered solution without breaking the bank. - Lyn Bosanquet, COO, Inventorium"

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The Challenge

Small and medium beverage producers often create excellent products but lack the specialist resources to assess markets, refine positioning, set prices and identify trade partners. Hydra Consulting had decades of food-and-beverage knowledge, methodologies and training content. The challenge was making that expertise available to more producers without reducing it to generic advice or requiring every interaction to be delivered as conventional consulting.

Our Approach

Hydra contributed its proprietary methodologies, rubrics, market information and sector training material. Moots designed the platform architecture, the AI controls, the knowledge-retrieval approach and the user interface. The teams worked iteratively with beverage producers to refine the system against real use cases, so its outputs stayed practical and grounded in trusted sector knowledge.

The Outcome

Built on the TonsleyAI platform, BevSage is a live SaaS marketing and sales companion for producers of wine, beer, spirits, ready-to-drink beverages, mixers and alcohol-free products. It uses retrieval-augmented generation to ground its guidance in curated industry information and Hydra's own expertise, and is now offered through subscriptions, demonstrations, coaching and deeper consulting engagements. Early use in accelerator and training programmes showed improved participant capability in defining brand value and articulating market positioning - a scalable new revenue line for Hydra, without adding headcount.

The Challenge

Spraying and harvesting decisions are highly time-sensitive. Grain producers need to weigh weather conditions, crop requirements, operational capacity and the practical availability of suitable working windows. The relevant information may be available from different sources, but turning it into an actionable plan can still require significant manual interpretation. Grain Producers SA wanted to explore how a mobile application could make this decision-making more accessible to farmers in the field.

Our Approach

We worked with Grain Producers SA to translate the operational needs of growers into a practical mobile product: understanding farmer personas and field conditions, mapping the spraying and harvesting decision journeys, defining functional and data requirements, designing mobile-first workflows, developing the application architecture, building the application, and refining the experience through stakeholder feedback. The design prioritised clear, usable information over raw data.

The Outcome

Grain Producers SA received a purpose-built digital tool shaped around real agricultural workflows. It brings the relevant decision inputs into a field-friendly interface so farmers can assess upcoming operational windows and plan work more confidently from a mobile device - a demonstration of how complex operational information can be translated into a straightforward mobile experience that supports better planning and more timely decisions.

This engagement delivered a concept and prototype.

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The Challenge

BreastScreen SA aims to improve access to breast-cancer screening and increase participation among eligible South Australian women. At the time of the project, appointments could only be made by telephone through the call centre. Clients had limited options for arranging appointments, and call-centre staff worked with processes that were not fully streamlined. BreastScreen SA wanted to explore how a digital booking service could improve accessibility, customer satisfaction and operational efficiency without committing prematurely to a large technology implementation.

Our Approach

We delivered a structured proof of concept bringing together requirements engineering, solution architecture and user-centred design. Working continuously with stakeholders and prospective users, we mapped the existing booking journey, defined actors and use cases, explored compliance and authentication requirements, and determined how a new service could operate alongside existing systems. The engagement produced defined business and user requirements, a proposed solution architecture, redesigned customer and call-centre workflows, wireframes and UI/UX designs, a clickable prototype, and a documented path towards implementation.

The Outcome

The selected concept combined an online booking application for eligible members of the public with a new, optimised booking application for call-centre employees, on a flexible technology foundation that could support future services without making them a requirement of the first release. BreastScreen SA received a validated product concept rather than an abstract technology proposal - a demonstration of how a modern booking experience could improve accessibility, streamline internal processes and provide a practical foundation for future development.

This engagement delivered a concept and prototype.

The Challenge

Business owners and leaders are under growing pressure to respond to artificial intelligence, but awareness alone does not produce a responsible implementation plan. The challenge is to distinguish practical opportunities from hype, understand where organisational data can safely be used, and identify the process, governance and workforce foundations required before investing in technology. City of Marion wanted to give businesses in its area a genuinely useful starting point rather than another overview of the technology.

Our Approach

City of Marion funded The AI Shift, a facilitated workshop we delivered for local businesses. Rather than beginning with tools or vendors, it explored how AI is changing decision-making and service delivery, where repetitive work and fragmented processes create opportunities, whether existing workflows and data are ready for automation, the risks of public, semi-private and private AI, governance and human oversight, organisational readiness, and practical first use cases. The session follows a structured progression from understanding current processes, to identifying digital workflows, to suitable AI-enabled operations.

The Outcome

Participants left with a common language for discussing AI and a structured way to evaluate opportunities. The conversation shifted from general interest to specific processes, readiness gaps and actions worth investigating. The workshop's central message: sustainable AI adoption requires clear business objectives, mapped processes, trusted data, appropriate governance and active staff involvement - not technology in isolation.

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"We got a lot out of the workshop. We have processes and ideas - we just hadn't known where to start until now." - Damia Ettakadoumi, Director, Straight Up

The Challenge

DASSA coordinates treatment and support across its own services and a network of non-government organisations. Demand had grown substantially without a corresponding increase in staff. Appointment availability was distributed across providers using different calendars and technology platforms, making it difficult for DASSA staff to identify and book appropriate services in real time. Longer waiting periods and disconnected booking processes also increased the risk that clients would miss their first appointment.

Our Approach

We worked with DASSA stakeholders to understand the complete service journey, from the initial telephone contact through to placement with an appropriate provider. The engagement covered business and user requirements engineering, stakeholder and user workshops, definition of actors, use cases and workflows, solution and integration architecture, UI/UX design and wireframes, a clickable prototype, continuous feedback loops, and a documented development strategy. Particular attention went to the practical realities of connecting multiple organisations, each with its own processes and calendar technology.

The Outcome

The proposed solution centred on an integrated booking capability through which DASSA employees and participating NGOs could view and coordinate suitable appointments. Rather than forcing every organisation onto a single operational system, the concept connected disparate calendars while fitting alongside existing processes and compliance obligations. DASSA received a user-validated concept, a clickable prototype and a technical direction - converting a complex, multi-organisation service challenge into a clearly defined digital product that could be developed in controlled stages.

This engagement delivered a concept and prototype.

The Challenge

Organisations are no longer struggling simply to understand what AI is. The harder questions are where it can create genuine value, which capabilities are appropriate to adopt, what should be avoided, and how sensitive information can be protected. Innovation Central Adelaide wanted to help participants move beyond general AI awareness towards informed, practical decision-making.

Our Approach

We delivered the Fast Track AI workshops to local businesses through Innovation Central Adelaide, structured around three practical questions: where should an organisation start, what should it adopt, and what should it avoid? Participants examined potential use cases through the lenses of business value, process readiness, data sensitivity, implementation feasibility and organisational risk, with emphasis on starting from a defined operational problem rather than adopting AI for its own sake. The workshop also covered the differences between public, semi-private and private AI, and what each means for data security, control and compliance.

The Outcome

Through facilitated exercises and applied examples, attendees identified high-value processes and recurring pain points, assessed whether their workflows and data were ready, distinguished useful AI applications from technology-led distractions, considered data-exposure and governance requirements, and prioritised practical first use cases. Participants left with a clearer understanding of how to assess AI opportunities in their own organisations and how to avoid common adoption mistakes.

The Challenge

Following Caterpillar's acquisition of a CODAN business, the relevant Jira and Confluence environments needed to be separated from CODAN's infrastructure and transferred into Caterpillar's. This was more complex than copying projects and pages. Jira issues and Confluence content held years of operational knowledge, attachments, links, comments, histories and relationships - and losing those connections would have reduced the value of the migrated information and disrupted the teams relying on it.

Our Approach

We planned and executed the migration with a focus on preserving both the information and its context: reviewing source and target environments, identifying projects, spaces, users and dependent content, mapping the differences between the two environments, sequencing the migration, preserving issue details, histories, attachments and references, validating the links between Jira and Confluence content, and testing everything before handover. The sequence was structured to reduce operational disruption and give clear checkpoints for resolving inconsistencies.

The Outcome

Caterpillar received a consolidated Atlassian environment containing the transferred project knowledge, and users retained access to the detail and references they needed to keep working. The engagement showed how a structured migration protects organisational knowledge during an acquisition and reduces the risk of moving interconnected collaboration platforms.

The Challenge

The company's success depended on its deep knowledge of complex government contracts and project documentation. Finding specific clauses, obligations, or technical details buried within these vast documents was a significant drain on expert resources, hindering their ability to respond to new tenders and manage existing projects effectively.

Our Private AI Solution

We implemented our TonsleyAI platform as a secure, private knowledge base. The platform's LLM has access to all their sensitive contract and project documents without the data ever leaving their sovereign control.

The Outcome: Instant, Intelligent Access to Data

The company’s team can now use a simple, natural-language chat interface to ask complex questions and receive precise, context-aware answers instantly. For example, they can ask, "What are our data residency obligations for Project X?" and receive an exact answer with source citations in seconds. This has revolutionised their workflow, drastically accelerating research and improving the accuracy of their project management and proposals.

The Challenge

The company's four-eyes principle for code reviews was critical for quality but was consuming an unsustainable amount of senior engineering time. These experts were bogged down checking for style guide compliance and common flaws, rather than solving complex problems.

Our AI-Enabled Workflow Solution

We designed and implemented an intelligent AI workflow with Digit Automate on top of their private TonsleyAI instance. The process is now:

1. A developer creates a "git merge request."
2. The AI workflow is automatically triggered, analysing the code for quality, style, and internal policy violations.
3. If issues are found, the AI provides optimisation feedback directly to the developer and closes the request, requiring no manual intervention.
4. If the code is valid, the workflow automatically informs a senior team developer to perform the final human review, satisfying the four-eyes principle.

The Outcome: Accelerated Development, Empowered Seniors

This automated workflow now handles the first pass of all code reviews, freeing senior developers to focus on architecture, innovation, and mentoring. The development lifecycle is faster, code quality is more consistent, and the company's most valuable technical experts are now deployed on their most critical tasks.

The Challenge

By law, every custom metal part enquiry required a "fit for purpose" validation. This involved an expert manually checking material specifications, in-house manufacturing capabilities, supplier availability, and pricing. This critical but repetitive task consumed a huge amount of manpower and slowed down the entire sales-to-production pipeline.

Our AI Workflow Solution

We implemented a custom AI workflow that constantly monitors the company's sales inbox. For each incoming enquiry, the AI automatically:

• Analyses the Request: Determines if the materials are fit for purpose and if the design can be built in-house or requires a supplier.
• Calculates Pricing: Generates accurate pricing based on the analysis.
• Integrates with ERP: Converts valid orders into the correct format and creates the entry in their ERP system.
• Communicates with Client: Sends automated confirmations or requests for more information.

The Outcome: 90% Automation and Drastic Efficiency Gains

The AI workflow now fully automates the process for approximately 450 of the 500 daily enquiries. This 90% automation rate has freed up the expert team to focus only on the most complex, high-value custom orders. The company has dramatically reduced its order processing time, improved accuracy, and can now scale its operations without a proportional increase in administrative staff.