AI-Powered ERP

Transform Business Data into Faster, Smarter Decisions

OneBusiness ERP combines enterprise resource planning with practical artificial intelligence to help Australian businesses automate routine work, understand operational data and make better decisions.

Our AI capabilities connect directly with finance, projects, procurement, inventory, CRM, sales, manufacturing and workforce management. Instead of operating as a separate AI application, each capability is designed to work within the relevant OneBusiness ERP process.

Powered by AWS Services, Amazon Bedrock and Claude Sonnet

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An Integrated Platform

Essential AI Capability Domains

OneBusiness AI works across six connected domains, embedded directly in the ERP processes they support:

  • Financial Intelligence
  • Project Intelligence
  • Procurement & Inventory Intelligence
  • Sales & CRM Intelligence
  • Manufacturing Intelligence
  • Productivity & Knowledge
Financial Intelligence

Turn financial data into confident decisions

From margin analysis to cash-flow projections and collections prioritisation, OneBusiness AI turns raw financial transactions into clear, actionable insight for finance teams and management.

AI Financial Analysis

The OneBusiness AI Financial Analysis capability examines financial statements and operational data to help management understand business performance. 

It can identify important movements, exceptions and financial risks without requiring users to manually interpret multiple reports. 

Key capabilities include: 

  • Profitability and margin analysis
  • Revenue and expense trend identification
  • Budget-versus-actual analysis
  • Working capital assessment
  • Financial ratio interpretation
  • Unusual transaction or variance detection
  • AI-generated management summaries
  • Recommended areas for management attention

The analysis is presented in clear business language, helping finance teams and managers move from reporting figures to understanding what those figures mean. 

Cash-Flow Analysis

OneBusiness combines receivables, payables, sales, purchasing and other financial data to analyse expected cash inflows and outflows. 

The AI-assisted cash-flow capability can provide: 

  • Short- and medium-term cash-flow projections
  • Expected customer receipts
  • Upcoming supplier obligations
  • Potential cash shortfalls
  • Overdue receivables affecting liquidity
  • Large payments requiring attention
  • Working capital observations
  • Recommended collection or payment actions
  • Plain-language management commentary

This gives decision-makers earlier visibility of liquidity pressure and supports more informed cash-management decisions. 

Accounts Payable Analysis

The OneBusiness Accounts Payable AI capability analyses supplier invoices, due dates, payment terms, approvals and payment history to help finance teams prioritise outgoing payments. 

It can identify: 

  • Invoices approaching their due dates
  • Overdue supplier obligations
  • Duplicate or potentially unusual invoices
  • Missing approval information
  • Early-payment discount opportunities
  • Suppliers at risk of payment delay
  • Upcoming cash requirements
  • Suggested payment priorities
  • Exceptions requiring finance review

This supports better cash planning while reducing the risk of missed payments, unnecessary penalties and avoidable supplier disputes. 

 

AR & Collection Assistant

OneBusiness analyses outstanding invoices and customer payment behaviour to help accounts-receivable teams focus on the debts that require immediate attention.  The collection assistant can produce: 

  • High-risk debtor identification
  • Customer risk levels
  • Collection-priority rankings
  • Overdue amount analysis
  • Oldest invoice assessment
  • Expected recovery estimates
  • Customer payment-behaviour summaries
  • Recommended collection actions
  • Suggested follow-up timeframes
  • Cash-recovery forecasts
  • Management summaries

Instead of treating every overdue invoice in the same way, finance teams can use risk and value to guide collection effort. 

Project Intelligence

Keep every project under control

AI keeps project reporting, cost forecasting and resource planning grounded in real budgets, timesheets and schedules — surfacing risk while there’s still time to act.

Monthly Report Generation

Preparing monthly project reports can require information from budgets, timesheets, milestones, risks, resources and project transactions. OneBusiness brings this information together and uses AI to create a structured monthly project report. 

The generated report can include: 

  • Project progress summary
  • Budget and actual cost comparison
  • Milestones completed and delayed
  • Resource utilisation
  • Current risks and issues
  • Schedule and cost variances
  • Forecast completion position
  • Recommended management actions
  • Priorities for the next reporting period

Project managers can review and approve the report before distribution, reducing administration while maintaining human oversight. 

Project Cost Forecasting

OneBusiness combines project budgets, commitments, actual costs, timesheets, procurement and progress information to forecast the likely final project cost. 

The capability can provide: 

  • Estimate at completion
  • Remaining cost forecast
  • Remaining cost forecast
  • Cost-overrun risk
  • Labour and procurement cost trends
  • Large payments requiring attention
  • Work-package variance analysis
  • Unplanned expenditure identification
  • Forecast confidence indicators
  • Recommended corrective actions

Project managers gain earlier warning of emerging cost pressure and can take action before the variance becomes difficult to control. 

Resource Forecasting

OneBusiness analyses project plans, work breakdown structures, schedules, current assignments, employee skills and availability to forecast resource requirements. 

The capability can identify: 

  • Future workforce demand
  • Resource shortages
  • Periods of underutilisation
  • Skill gaps
  • Assignment conflicts
  • Contractor or recruitment requirements
  • Capacity by team or role
  • Suggested payment priorities
  • Project delivery risks caused by resourcing
  • Recommended allocation changes

This helps project-based organisations plan resources earlier and balance delivery commitments with workforce capacity. 

Procurement & Inventory Intelligence

Buy and stock with more confidence

AI turns demand signals and historical inventory data into draft purchase orders and smarter replenishment decisions, reducing emergency buying and excess stock.

Python Inventory Forecasting

OneBusiness uses a Python-based forecasting service to analyse inventory history and estimate future stock requirements. 

Depending on the quantity and quality of available data, the forecasting process can apply appropriate statistical or time-series methods rather than relying on a single model for every material. 

The capability can support: 

  • Demand forecasting
  • Inventory-balance forecasting
  • Seasonal pattern detection
  • Reorder planning
  • Slow-moving stock identification
  • Potential stockout warnings
  • Forecast completion position
  • Excess-stock risk
  • Forecast-versus-actual analysis
  • Model accuracy measurement
  • Material-level forecast reporting

This assists procurement and inventory teams in maintaining appropriate stock levels while reducing emergency purchases and unnecessary working capital. 

Automatic PO Generation

Users can ask questions in natural language and receive a contextual response based on the available knowledge sources. Where configured, the chatbot can reference the supporting document so users can verify the information. 

This can reduce repetitive support requests, accelerate onboarding and help users complete ERP processes more confidently. 

  • Identify approved purchasing requirements
  • Recommend suitable suppliers
  • Use supplier pricing and purchasing history
  • Generate purchase-order line items
  • Apply delivery dates and commercial terms
  • Validate quantities against demand
  • Detect potential duplicate purchases
  • Suggested payment priorities
  • Route the draft purchase order for approval

Purchase orders remain subject to configured approval rules, giving businesses automation without losing financial control. 

Sales & CRM Intelligence

Understand customers and win more business

From a single customer view to opportunity scoring and quote drafting, AI helps sales and service teams prioritise effort and respond faster.

360° Customer View

The OneBusiness 360° Customer AI capability consolidates information from CRM, sales, quotations, invoices, payments, projects, support interactions and meeting notes. 

It can create a concise customer intelligence summary covering :

  • Customer profile and relationship history
  • Sales and quotation activity
  • Outstanding invoices and payment behaviour
  • Current projects and service activity
  • Previous meetings and communications
  • Open opportunities
  • Customer sentiment
  • Relationship risks
  • Recommended follow-up actions
  • Cross-sell and upsell possibilities

Sales, finance and service teams can work from a shared understanding of the customer while access remains controlled by ERP roles and permissions. 

Opportunity Scoring

The OneBusiness AI Opportunity Scoring capability evaluates CRM opportunities using the available sales, customer and engagement information. 

Scoring may consider: 

  • Opportunity value
  • Sales stage
  • Customer history
  • Previous conversion behaviour
  • Engagement activity
  • Quotation status
  • Expected decision date
  • Customer sentiment
  • Competitor or commercial risk
  • Outstanding actions
  • Length of time in the sales pipeline

Each opportunity can receive a score, risk explanation and recommended next action, helping sales teams prioritise effort while giving managers clearer pipeline visibility. 

AI Quote Generator

The OneBusiness AI Quote Generator assists sales teams in preparing draft quotations using customer requirements, product and service information, pricing rules and previous transactions. 

It can help generate: 

  • Quotation headers and line items
  • Product or service descriptions
  • Suggested quantities
  • Pricing and discount recommendations
  • Delivery assumptions
  • Commercial terms
  • Scope inclusions and exclusions
  • Customer-specific proposal language
  • Internal margin or approval alerts
  • Follow-up recommendations

The generated quotation remains available for review and approval before it is sent to the customer. 

Sales Forecasting

The OneBusiness sales-forecasting capability uses historical sales, open orders, CRM opportunities, seasonal patterns and customer activity to estimate future demand and revenue. 

Forecasts can be prepared by: 

  • Product
  • Product category
  • Customer
  • Industry
  • Salesperson
  • Region
  • Business unit
  • Month or reporting period

The system can also compare forecast and actual results, identify important changes and explain the business factors influencing the forecast. 

Manufacturing Intelligence

Optimise leather production and quality

Purpose-built AI for tanneries plans production batches and predicts defect risk, helping teams protect yield and catch quality issues before they become costly.

Leather Production Optimiser

The OneBusiness AI Leather Production Optimiser is designed for the operational requirements of leather tanneries. 

It can analyse production orders, available hides or skins, drum capacity, recipes, material requirements, processing stages and delivery priorities to support improved production planning. 

Potential optimisation areas include: 

  • Batch and drum-load planning
  • Raw material allocation
  • Chemical consumption
  • Capacity utilisation
  • Processing time
  • Yield improvement
  • Excess-stock risk
  • Rework reduction
  • Delivery-date prioritisation
  • Identification of production bottlenecks

The recommended production plan supports operational decision-making while allowing experienced production managers to review and adjust recommendations. 

Leather Defect Prediction

Leather quality can be affected by raw material condition, supplier performance, process variations, chemical parameters and equipment conditions. OneBusiness uses available production and quality data to assess potential defect risk. 

The capability can support: 

  • Defect-risk scoring
  • Likely defect-category identification
  • Batch and supplier pattern analysis
  • Process-parameter correlation
  • Quality-risk alerts
  • Root-cause suggestions
  • Recommended preventive actions
  • Historical defect-trend analysis
  • Continuous improvement reporting

Earlier identification gives quality and production teams an opportunity to intervene before defects result in avoidable waste, rework or customer rejection. 

Productivity & Knowledge

Turn conversations and documents into action

AI converts meeting notes and approved knowledge sources into structured records and instant answers, reducing manual admin and repetitive support requests.

Meeting Notes & Actions

OneBusiness can transform typed meeting notes and supported scanned documents into structured meeting information. 

The AI-generated output can include: 

  • Meeting summary
  • Attendees
  • Key discussion points
  • Capacity utilisation
  • Decisions made
  • Action items
  • Action owners
  • Risks and concerns
  • Customer sentiment
  • Opportunity updates
  • Recommended next steps

Where required, document text can be extracted using OCR before AI processing. The structured result can then populate CRM or project fields, helping teams turn meetings into traceable business actions instead of storing information only as unstructured documents. 

RAG Training Chatbot

The OneBusiness training chatbot uses Retrieval-Augmented Generation, commonly known as RAG, to answer questions using approved organisational documents and ERP training material. 

The knowledge base may include: 

  • OneBusiness user manuals
  • Standard operating procedures
  • Training guides
  • Internal policies
  • Process documentation
  • Frequently asked questions
  • Role-specific instructions
  • Implementation documentation

Users can ask questions in natural language and receive a contextual response based on the available knowledge sources. Where configured, the chatbot can reference the supporting document so users can verify the information. 

This can reduce repetitive support requests, accelerate onboarding and help users complete ERP processes more confidently. 

Platform Architecture

AWS Bedrock & Claude Sonnet integration framework

A reusable foundation lets OneBusiness introduce new AI capabilities progressively, without building every capability as an isolated solution.

Secure API integration

Sync & async processing

Structured JSON I/O

AI job tracking

Amazon S3 storage

Amazon Textract OCR

AWS Lambda

AWS IAM access control

Amazon DynamoDB records

Claude Sonnet via Bedrock

Error handling & retries

Modular expansion

Why It Matters

Why OneBusiness AI?

01

Integrated with Data

Works directly with authorised ERP data from finance, CRM, projects and production

 

02

Industry-Specific​

Covers general business processes and specialised industries like leather production. 

03

ERP-Ready Outputs

Structured JSON maps to ERP records and fields, not just a PDF report.

 

04

Human Review

High-impact outputs require authorised review before execution.

 

05

Role-Based Access

Sensitive information stays governed by ERP roles and permissions.

06

Scalable Cloud

Built on AWS, Amazon Bedrock and Claude Sonnet for secure scaling.

07

Statistical + Generative

Python models for forecasting, Claude Sonnet for generative tasks.

 

08

Built for SMEs

Designed for Australian SMEs and growing enterprises, expandable over time.

Data Management & Assurance

Frequently Asked Questions

Does AI make transactions automatically?

AI can generate analyses, forecasts, recommendations and draft transactions. Final processing can remain subject to the organisation’s configured approval rules and user permissions. 

Yes. The capabilities are designed to use authorised OneBusiness data from areas such as finance, CRM, projects, inventory, procurement and production. 

Yes. Structured JSON output can be mapped to relevant ERP records and fields instead of being delivered only as a PDF or unstructured report. 

Supported scanned documents can be uploaded securely for OCR processing. Extracted text can then be analysed and converted into structured business information. 

No. The technology is selected according to the use case. Generative tasks may use Amazon Bedrock and Claude Sonnet, while numerical forecasting can use Python-based statistical and machine-learning models. 

Yes. Prompts, approval workflows, reporting structures, data mappings, security roles and business rules can be configured according to the organisation’s processes. 

Yes. High-impact outputs such as purchase orders, quotations, financial actions and customer communications can require authorised user review before execution. 

Bring practical AI into your ERP

Financial analysis, project forecasting, smarter collections, automated meeting actions, inventory planning or production intelligence — phased to your priorities.

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