Put AI to Work Across Your Business

Move beyond chatbots and use AI to understand, decide, act and automate.

DecodeData designs enterprise AI agents and intelligent automation solutions that connect your people, business processes, enterprise data and applications.

Where Can AI Agents Help?

AI agents become valuable when employees repeatedly need to find information, interpret it and take action.

01

Finance

Automate repetitive finance activities and help teams access, interpret and act on financial information faster.

Invoice enquiries

Financial commentary

Reconciliation support

Recurring reporting processes

Budget & variance analysis

Expense review support

Finance information retrieval

03

Customer Service

Help service teams access customer context and respond to enquiries with greater speed and consistency.

Retrieve customer information

Summarise customer interactions

Prepare suggested responses

Route complex enquiries

Retrieve product & service knowledge

Create case summaries

Support enquiry triage

04

Sales

Give sales teams faster access to customer context, opportunities and information needed to prepare and act.

Prepare account summaries

Identify sales opportunities

Generate meeting briefs

Support CRM workflows

Summarise customer activity

Prepare follow-up actions

Surface relevant account insights

05

HR

Simplify common employee requests and make trusted internal information easier to find and use.

Answer policy questions

Support employee onboarding

Provide internal knowledge access

Automate common internal requests

Guide employees through processes

Summarise HR information

Route requests to the right team

06

Data & Analytics

Use AI agents to support data operations, analytics users and faster understanding of business performance.

Monitor data pipelines

Identify data anomalies

Explain KPI changes

Answer analytics questions

Summarise reporting insights

Investigate data quality issues

Support self-service analytics

From Simple Assistants to AI Agents

AI capability can progress from information retrieval to intelligent workflow orchestration. We help determine the appropriate level based on business value, process complexity, risk and required human oversight.

Level 1 — Answer

Retrieve and explain trusted enterprise information so employees can find reliable answers faster.

✓ Enterprise search
✓ Knowledge retrieval
✓ Policy questions
✓ Trusted answers

Level 2 — Assist

Help employees interpret information and generate useful outputs using enterprise context.

✓ Summaries
✓ Draft content
✓ Recommendations
✓ Information analysis

Level 3 — Analyse

Analyse business information, identify patterns and provide context for decisions and actions.

✓ Pattern identification
✓ Exception analysis
✓ Context interpretation
✓ Decision support

Level 4 — Act

Perform approved actions across connected enterprise applications and business systems.

✓ Update systems
✓ Create records
✓ Trigger workflows
✓ Execute approved actions

Level 5 — Orchestrate

Coordinate multi-step workflows involving data, applications, AI services and people.

✓ Multi-step processes
✓ System coordination
✓ Workflow sequencing
✓ Human approval points

Level 6 — Optimise

Use operational feedback and outcomes to continuously improve agent-supported processes.

✓ Performance monitoring
✓ Exception learning
✓ Process improvement
✓ Continuous optimisation

Our AI Agent Delivery Approach

From workflow discovery and agent design through to controlled deployment and continuous optimisation, we build AI agents around real business processes.

01

Identify the Workflow

Understand the process, users, systems, repetitive activities and business pain points.

  • Existing process
  • Users & roles
  • Manual activities
  • Decision points
02

Define the Use Case

Define the business outcome, scope and success measures for the AI agent initiative.

  • Business objective
  • Agent scope
  • Expected value
  • Success measures
03

Design the Agent

Determine what the agent should understand, what information it can access and what it can do.

  • Agent behaviour
  • Information access
  • Permitted actions
  • Human oversight
04

Connect Data & Systems

Securely connect the enterprise information and applications required by the agent.

  • Enterprise data
  • APIs & services
  • Documents & knowledge
  • Business applications
05

Build & Test

Develop the agent and validate responses, actions, business rules and exception handling.

  • Agent development
  • Response validation
  • Business rules
  • Exception handling
06

Pilot & Validate

Test the agent with real users and controlled scenarios before wider production deployment.

  • Controlled pilot
  • User validation
  • Accuracy testing
  • Business feedback
07

Govern & Deploy

Establish security, permissions and operational controls before moving the agent into production.

  • Identity & permissions
  • Auditability
  • Human approvals
  • Production controls
08

Scale & Optimise

Monitor real-world performance and expand successful agent capabilities across the organisation.

  • Adoption monitoring
  • Accuracy & exceptions
  • Continuous improvement
  • Enterprise scaling

Example: Operations AI Agent

Imagine an operations team that currently checks multiple reports and systems every morning. Instead of employees continuously searching for problems, an AI agent can help bring the issues requiring attention to them.

Monitor

Monitor operational data across relevant systems and information sources.

Detect

Detect exceptions, unusual activity or conditions requiring attention.

Investigate

Investigate relevant enterprise information to understand what may have happened.

Summarise

Summarise the issue and provide important context to the operations team.

Recommend

Recommend the appropriate next action based on business rules and available information.

Act

Create or trigger an approved workflow when the agent has permission to proceed.

Escalate

Escalate to a person when judgement, approval or human intervention is required.

Learn & Improve

Use outcomes, feedback and exception patterns to continuously improve the agent-supported process.

Enterprise Automation Needs Enterprise Data

AI agents become significantly more useful when they can securely work with trusted business data.

DecodeData combines Enterprise Data + Business Rules + AI + Workflow Automation + Governance to build agents that operate within the context of your organisation rather than functioning as isolated AI tools.

Enterprise Data

Give agents controlled access to trusted and relevant business information.

Business Rules & Automation

Connect AI with approved workflows, applications and business rules.

Governance & Oversight

Control what agents can access, what they can do and when human approval is required.

Microsoft AI & Automation Technologies

Solutions can leverage Microsoft AI, automation, analytics and data technologies while integrating with your existing enterprise applications and APIs.

Microsoft Copilot Studio Azure AI Foundry Azure OpenAI Microsoft Fabric Power Automate Power BI Microsoft 365 Azure

AI Agents & Intelligent Automation FAQs

An AI agent is software that can use AI to understand information, reason about a task and perform approved actions using connected data and business systems.

A chatbot primarily answers questions. An AI agent can potentially retrieve information, analyse context, interact with systems and execute controlled steps within a business workflow.

Yes, where appropriate. Access should be governed through enterprise security, permissions and data controls rather than giving an agent unrestricted access.

Usually not. Agents commonly operate across existing applications, data platforms and workflows, making those systems easier to interact with and automating repetitive steps between them.

We design controls around identity, permissions, approved actions, auditability, sensitive data and human approval points based on the risk of the process.

Success Stories

Have a Process That Takes Too Much Manual Effort?

We can assess whether AI agents and intelligent automation can simplify it.

Discuss an AI Agent Use Case

Identify where an AI agent could reduce repetitive work, connect systems and improve business workflows.

Discuss an AI Agent Use Case

Contact Us

Contact Information

support@decodedata.com.au
(02) 4072 5755
Level 1, 60 Martin Place
Sydney NSW 2000

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