Artificial Intelligence

The Opportunity

Artificial intelligence isn’t coming — it’s here. Australian businesses are already using AI to cut costs, make faster decisions, and deliver better outcomes for their customers. But there’s a widening gap between the hype and actual implementation. For every headline about large language models and autonomous systems, there are thousands of businesses wondering where to start — or whether AI is even relevant to what they do.

It is. And that’s where Peritus comes in.

We don’t sell AI for the sake of it. We identify where intelligent automation, machine learning, and data-driven tools can make a genuine, measurable difference to your operations. Whether you’re a 15-person team looking to automate repetitive admin or a national organisation ready to build predictive models into your decision-making — we meet you where you are and help you move forward with confidence.

According to the Australian Computer Society’s Digital Pulse report, AI adoption among Australian SMEs still lags behind larger enterprises — not because the technology isn’t ready, but because the guidance isn’t there. That’s the gap we fill. Practical, grounded AI strategy and implementation from a team that understands both the technology and the business reality.

What That Looks Like

Intelligent Automation

Most businesses have processes that eat up hours every week — data entry, document handling, report generation, approvals. Intelligent automation uses AI and robotic process automation (RPA) to handle these tasks faster, more accurately, and without the bottleneck of human availability.

Document processing and extraction — automated reading and categorisation of invoices, receipts, contracts, and forms using optical character recognition (OCR) and natural language processing
Data entry and validation — eliminating manual data entry between systems, with built-in validation rules to catch errors before they propagate
Workflow automation — approval chains, task routing, notifications, and escalations that run without manual intervention
Robotic process automation (RPA) — software bots that replicate repetitive human actions across applications, from copying data between systems to generating standardised reports
Invoice and accounts processing — end-to-end automation from invoice receipt through matching, coding, approval, and payment scheduling
Report generation — automated compilation of operational, financial, and compliance reports on schedule or on demand, pulling from multiple data sources
Email triage and routing — AI-powered classification of incoming enquiries, automatically routing to the right team or triggering standard responses

Example: a logistics firm reduced their invoice processing time from 45 minutes per batch to under 5 minutes using document extraction and automated matching against purchase orders.

Data Analytics and Insights

Data is only valuable if you can act on it. We build analytics solutions that turn raw data into clear, actionable insights — presented in dashboards your team will actually use.

Business intelligence dashboards — real-time visual reporting using tools like Power BI, Tableau, and Looker, tailored to your specific KPIs and decision-making needs
Data warehousing and integration — centralising data from disparate sources (CRM, accounting, operations, HR) into a single, reliable source of truth
Predictive analytics — forecasting models for revenue, demand, staffing needs, and other business-critical metrics
KPI tracking and alerting — automated monitoring of key performance indicators with threshold-based alerts when metrics drift outside acceptable ranges
Customer analytics — segmentation, lifetime value modelling, behaviour analysis, and satisfaction tracking to inform marketing and retention strategies
Operational reporting — standardised and ad-hoc reporting that gives management clear visibility into performance without manual spreadsheet wrangling

AI-Powered Tools and Integration

Off-the-shelf AI tools are powerful — but only when they’re properly integrated into your existing systems and workflows. We help you select, configure, and embed AI tools that work with what you already have.

Chatbots and virtual assistants — customer-facing and internal chatbots that handle FAQs, booking, triage, and support requests, integrated with your CRM and ticketing systems
AI copilots for internal teams — configuring tools like Microsoft Copilot, ChatGPT Enterprise, and custom AI assistants to support your staff with drafting, research, data analysis, and summarisation
Smart scheduling and resource allocation — AI-driven scheduling tools that optimise staff rosters, meeting coordination, and resource allocation based on demand patterns
Inventory and supply chain intelligence — demand-aware inventory management, automated reorder triggers, supplier performance tracking, and stock optimisation
CRM intelligence — AI layers on top of your existing CRM (Salesforce, HubSpot, Dynamics) for lead scoring, next-best-action recommendations, and automated follow-up sequencing
Integration and API management — connecting AI tools with your existing tech stack through APIs, middleware, and automation platforms like Make, Zapier, or Power Automate

AI Strategy and Roadmapping

Not sure where to start? That’s completely normal. We help organisations move from curiosity to a clear, prioritised plan — without committing to anything until the business case stacks up.

AI readiness assessments — evaluating your data maturity, technical infrastructure, and organisational readiness for AI adoption
Opportunity identification — systematic review of your operations to pinpoint where AI can deliver the highest impact relative to effort and cost
ROI modelling — building realistic business cases for AI initiatives, including expected savings, productivity gains, and implementation costs
Phased implementation plans — roadmaps that start with quick wins and build toward more sophisticated capabilities, managing risk at every stage
Change management — preparing your team for new ways of working, addressing concerns, and building internal AI literacy
Vendor evaluation — independent assessment of AI platforms, tools, and service providers to ensure you’re investing in the right technology for your needs

Machine Learning and Predictive Models

When your data is rich enough and your questions are specific enough, custom machine learning models can give you a genuine competitive edge. We build, train, and deploy models that solve real business problems.

Demand forecasting — predicting future sales, service volumes, or resource requirements based on historical patterns and external signals
Customer churn prediction — identifying at-risk customers before they leave, giving your retention team time to intervene
Anomaly detection — spotting unusual patterns in financial transactions, network activity, equipment sensor data, or operational metrics that may indicate fraud, faults, or emerging issues
Predictive maintenance — using sensor and operational data to forecast equipment failures before they happen, reducing unplanned downtime and extending asset life
Natural language processing (NLP) — text classification, sentiment analysis, entity extraction, and document summarisation for large volumes of unstructured text
Model monitoring and retraining — ongoing performance tracking of deployed models with automated retraining pipelines to maintain accuracy as your data evolves

AI Governance and Ethics

AI adoption comes with responsibility. Australian organisations face increasing expectations — from regulators, customers, and the public — to use AI transparently and fairly. We help you get this right from the start.

Responsible AI frameworks — policies and processes aligned with Australia’s AI Ethics Principles and emerging regulatory requirements
Bias testing and fairness audits — systematic evaluation of AI models and training data for demographic bias, with remediation strategies where issues are found
Data privacy compliance — ensuring AI systems comply with the Australian Privacy Act, the Notifiable Data Breaches scheme, and sector-specific requirements
Transparency and explainability — documenting how AI systems make decisions, so your team and your customers can understand and trust the outputs
Risk assessment — identifying and mitigating risks associated with AI deployment, including reputational, legal, and operational risks
Staff training and AI literacy — building your team’s understanding of AI capabilities, limitations, and ethical considerations so they can use these tools responsibly

Our Approach

Every AI recommendation we make is grounded in business need — not hype, not vendor pressure, not what’s trending on LinkedIn. We start by understanding your operations, your pain points, and your goals. Then we identify where AI can make a real difference, build a realistic business case, and implement in phases that deliver value early and often.

We’re based in Newcastle and work with organisations across Australia. Whether you’re exploring AI for the first time or looking to scale what you’ve already started, we’ll give you honest advice and practical support — no jargon, no overselling, no science fiction. Just smarter operations.