Reduce repetitive work
Move high-volume, rules-based tasks away from busy teams while keeping exceptions visible.
Governed AI Agents for real business work
Build an AI Agent.
Grow your business.
react AI designs governed AI Agents that work with your systems and trusted data to automate operations, improve customer service, reduce costs and create new capacity for growth.
Technologies we can integrate with. Platform selection depends on your existing systems, requirements and approved technology environment.
Business outcomes
More capacity for the work that matters.
Start with a measurable business problem, then design the AI Agent, information and controls around the outcome.
Serve customers faster
Respond, route and resolve requests using approved information and connected systems.
Give teams trusted answers
Make company knowledge easier to find, understand and apply in everyday decisions.
Improve business decisions
Turn operational data into timely insights, actions and measurable performance improvements.
How value is measured
Agree on success before anything is built.
- TimeCycle time and hours returned to teams
- CostCost per task and avoidable rework
- ServiceResponse, resolution and quality
- GrowthCapacity, conversion and revenue opportunity
- RiskExceptions, control coverage and traceability
Practical use cases
Recognise the work your AI Agent could take on.
We focus on one valuable workflow first, prove the impact and expand from a trusted foundation.
Customer service
Answer questions, update cases, route complex requests and help customers reach the right resolution sooner.
Operations
Process documents, coordinate tasks, update systems and monitor exceptions across repeatable workflows.
Sales
Research accounts, prepare meeting briefs, draft proposals and support consistent opportunity follow-up.
Governance
Monitor data quality, policies, risks, approvals and evidence across data and AI operations.
Leadership
Summarise performance, surface important changes and prepare decision-ready operational insights.
Company knowledge
Give teams reliable answers grounded in approved policies, procedures, documents and business information.
Where we create value
Start with your industry. Focus on the work.
We combine business context, operational knowledge and governed AI capabilities around a specific outcome.
Your operating context
- Financial services
- Government
- Healthcare
- Retail and consumer
- Professional services
Where work happens
- Customer service
- Operations
- Sales and growth
- Finance and reporting
- Risk and compliance
What we deliver
- Governed AI Agents
- Intelligent automation
- Data governance
- AI governance and assurance
- Integration and monitoring
Plain-language AI
More than a chatbot.
An AI Agent is designed for a role, connected to approved information and limited by clear business rules.
Understands the request
Uses approved information
Works across your systems
Requests approval when needed
Records actions and outcomes
Services
Everything required to move from idea to dependable operation.
Four connected services, with one accountable delivery path.
AI strategy and opportunity assessment
Identify the best first use case, define measurable outcomes and create a practical roadmap aligned with risk and readiness.
You receive: prioritised opportunities, business case and delivery roadmapAI Agent design and development
Design what the AI Agent can access, remember, decide and do, then build and test it against realistic work.
You receive: working AI Agent, integrations and evaluation resultsData and AI governance
Define ownership, access, quality, privacy, risk, approval and accountability controls for dependable AI outcomes.
You receive: governance model, controls and operating responsibilitiesDeployment, integration and monitoring
Connect approved systems, launch safely and monitor quality, safety, cost and business performance.
You receive: production deployment, monitoring and improvement planGoverned by design
Trusted data in. Reliable AI out.
Data Governance creates the trusted foundation. AI Governance adds the policies, controls and accountability needed to operate AI safely. Together, they help every AI Agent deliver transparent and dependable outcomes.
Discuss your governance needs
Controls that keep people accountable.
The exact controls depend on your organisation, systems and risk profile. We design them before production use.
Approved environments
Information and AI services operate within the technology environments your organisation approves.
Controlled access
AI Agents receive only the information and permissions required for their role.
Human approval
Sensitive or high-impact actions can stop for review before anything changes.
Audit and monitoring
Actions, exceptions, quality, cost and safety remain visible after deployment.
Privacy and retention
Data handling and retention rules are documented around the selected platforms and use case.
Model and vendor risk
Models and technology providers are assessed against business, security and governance requirements.
How we work
A clear path from opportunity to operation.
Start focused, prove value safely and expand only when the results and controls are clear.
Discover the opportunity
Choose one valuable process, understand the people, systems and information involved, then define success.
Design the AI Agent
Define its role, knowledge, tools, permissions, approval points and measures before development begins.
Prove it safely
Test with realistic scenarios, measure quality and confirm the governance controls with your team.
Deploy and improve
Launch into an approved environment, monitor performance and improve the AI Agent as the work evolves.
Illustrative business scenarios
See what a focused first engagement could deliver.
These are examples, not customer claims. Actual outcomes depend on your workflow, systems, data and adoption.
From repeated questions to faster resolution.
Challenge: service teams search across disconnected information and manually update cases.
AI Agent: finds approved answers, drafts responses, updates the case and escalates exceptions.
Measures: response time, resolution rate, quality and escalation accuracy.
From manual evidence gathering to continuous oversight.
Challenge: governance teams spend significant time collecting policy, quality and approval evidence.
AI Agent: monitors agreed controls, prepares evidence and highlights gaps for review.
Measures: review time, control coverage, exceptions and remediation progress.
Illustrative AI workforce
Meet your future AI workforce.
These profiles illustrate specialist AI Agent roles we can design around your organisation. They are digital roles, not members of our human team.
Nova
Strategy and Research
Orion
Operations
Lyra
Data Governance
Atlas
AI Risk and Assurance
About react AI
Reason clearly. Act responsibly.
react AI is a Sydney-based AI consultancy helping organisations design and deploy governed AI Agents. Our work includes AI strategy, opportunity assessment, AI Agent development, intelligent automation, ChatGPT business solutions, data governance, AI governance, enterprise integration, production deployment and continuous monitoring.
Turn AI into measurable business value.
We build trusted AI Agents that remove operational friction, help teams serve customers better and deliver practical commercial outcomes.
Accountable from strategy to operation.
We connect business objectives, technology, data and governance through one transparent delivery approach.
Executive resources
Make a confident first AI decision.
Plain-language guidance for leaders assessing value, readiness, data and governance.
What is a governed AI Agent?
Understand how an AI Agent differs from a chatbot, where it creates value and when people remain involved.
Read the essentialsIs this process ready for an AI Agent?
Assess repetition, information quality, system access, risk, volume and the outcome you want to improve.
Assess your opportunityControls leaders should define before launch.
Review ownership, approved data, permissions, human approval, monitoring, evidence and vendor risk.
Explore governanceFrequently asked questions
What business leaders need to know.
Clear answers about AI Agents, integration, information, safety and delivery.
What is an AI Agent?
An AI Agent is a governed digital worker designed for a specific role. It can understand requests, use approved information, work across business systems, complete defined tasks and involve people when judgement or approval is required.
How is it different from a chatbot?
A chatbot mainly answers questions. An AI Agent can also follow a process, use tools, update systems, create documents, monitor work and complete approved actions.
Can it work with our current systems?
Yes. We design around your approved technology environment and can connect AI Agents with knowledge bases, service platforms, CRM, analytics and operational tools.
Is our information used to train public AI models?
We design data access, retention and model controls around your security requirements and selected platforms. The final approach is documented and approved before production use.
Which actions require human approval?
You decide. Sensitive, financial, customer-impacting or high-risk actions can require human review while lower-risk repetitive work can be automated within defined limits.
How long does a first project take?
Timing depends on the workflow, systems, data and controls involved. We begin with one focused opportunity, validate it with real scenarios and expand only after the value and risk controls are clear.
Do we need perfect data before starting?
No. We assess whether the information required for the first use case is accessible, reliable and appropriately governed, then address the most important gaps as part of the delivery plan.
How do you monitor quality and safety?
We define success measures before launch, test against realistic scenarios and monitor accuracy, cost, safety, exceptions and business performance after deployment.