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AI agents that take action—not just answer questions

We build AI agents that can complete multi-step tasks across your systems, with guardrails, approvals and full auditability. Built for real operations, supported by managed services.

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Agents designed around outcomes

We focus on faster processing, fewer errors, and better service. Our agents are built on Microsoft Foundry and Copilot Studio (plus the model options that fit your needs).

  • Knowledge + data
    Connect to policies, SOPs, documents and structured systems (incl. Pinecone).

  • Guardrails:
    Roles, permissions, approvals and audit logs built in from day one.

  • Deployment options:
    Teams, web apps, service portals, APIs—wherever your people work.

  • Ongoing support
    Monitoring, incident response and continuous improvement 24/7.

  • Enterprise-grade
    Designed for real operations with full visibility and control.

  • Full auditability
    Record every action and decision for compliance and debugging.

 

What is an AI agent (in plain terms)?

An AI agent is software that can:

 

 

Understand a request or goal

Use approved tools (APIs, workflows, internal systems)

Follow steps to complete the job

Ask for approval where needed

Record what happened for visibility and control

 

Where agents work best

Agents are ideal when work requires judgement and multi-step execution.

 

Multi-step
Not a single automation trigger—requires coordinating multiple actions.

Decision-heavy
Requires judgement, triage or interpretation of unstructured data.

Spread across systems
Work involving email + CRM + ERP + documents and more.

Time-sensitive
Perfect for service desks, exceptions, and escalations.

 

 

Common agent types we build

 

 

Internal copilots (staff productivity)

Policy/SOP assistant with approved answers and citations, drafting and summarising for emails, reports and briefs, and safe access to metrics and dashboards.

Operations agents (process execution)

Triage and route requests, document handling (extract, validate, classify), and early issue detection with correct escalation.

Customer-facing agents (with controls)

Tier 1 support and enquiry handling, order/shipping status, FAQ support, and guided forms with pre-qualification workflows.

 

 

Platforms and models

We build agents using the platform and model mix that fits your environment, risk profile and cost targets:

 

 

Platforms

  • Microsoft Foundry
  • Microsoft Copilot Studio

 

 

Models

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Mistral
  • Meta
  • Hugging Face

 

Knowledge

  • Pinecone
  • Perplexity

 

Endpoints

  • Teams
  • SharePoint
  • ServiceNow
  • Salesforce
  • Dynamics 365
  • Jira
  • Confluence

 

Agent safety, governance and controls

We build agents with the right constraints for enterprise environments:

 

 

Clear boundaries
Define exactly what the agent can access and what's off-limits.

Human-in-the-loop
Required approvals for any high-risk or customer-facing actions.

Rigorous testing
Evaluation against real scenarios and edge cases before rollout.

24/7 Monitoring
Proactive alerting so issues are caught and resolved early.

How we work

1 Use Case Workshop Identify what 'good' looks like and define guardrails.

2 Integration Design Map systems, permissions, logging and environments.

3 Build & Test Scenario testing, edge cases, and failure handling.

4 Pilot Limited rollout with feedback loops and tuning.

5 Release & Run Production move with managed support and reporting.

 

Frequently asked questions

 

What exactly is an AI agent?

An AI agent is software that uses large language models (LLMs) to understand natural language, reason about tasks, and take actions. Unlike simple chatbots that follow scripts, agents can handle ambiguous requests, access external systems, and complete multi-step workflows autonomously.
Where do AI agents work best?

Agents excel at repetitive knowledge work: answering questions from large document sets, triaging support requests, processing forms, generating reports, and orchestrating workflows. They're particularly valuable when you need to scale expertise across your organisation.
How do you ensure agents give accurate responses?

We implement retrieval-augmented generation (RAG) to ground responses in your actual data. Agents cite their sources, and we build in confidence scoring, escalation paths, and human-in-the-loop checkpoints for critical decisions.
What governance controls do you put in place?

Every agent includes access controls, audit logging, content filtering, and usage analytics. We define clear boundaries for what agents can and cannot do, implement approval workflows for sensitive actions, and provide admin dashboards for oversight.
Can agents integrate with our existing systems?

Yes. We build connectors to your CRM, ITSM, ERP, document management, and custom systems. Agents can read from and write to these systems based on defined permissions and business rules.
How do you handle sensitive data?

Data stays within your control. We can deploy agents using your own Azure OpenAI instance, implement data classification rules, and ensure PII is handled according to your policies. All solutions meet Australian data sovereignty requirements.

 

 

Let's build your first agent

Start with a discovery call to explore use cases and define the right approach.

Request a proof of concept

 

 

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