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AI that actually gets work done

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End-to-end AI and automation services

Positioned as an enterprise-grade partner, we design, build, deploy and run AI agents and automations—fast, safely, and with ongoing managed service.

  • AI agent development
    (internal copilots, customer assistants, workflow agents)

  • AI automation & integrations
    using n8n, Zapier, Tray.ai, Power Automate + custom APIs

  • End-to-end delivery
    strategy → build → deploy → operate

  • Rapid proofs of concept
    6 week corporate hackathons

  • Managed AI services
    monitoring, infrastructure, security and licensing—we don’t build and disappear

  • Enterprise-ready approach
    governance, access control, auditability and “human-in-the-loop” controls

 

Outcomes we deliver

AI isn’t the outcome—your business results are. We focus on measurable improvements like:

 

 

Faster cycle times across approvals, reporting and service requests

Lower operating cost by removing repetitive manual work

Better consistency and compliance through standardised workflows

More responsive customer and staff support (without adding headcount)

Reduced risk with guardrails, logging and controlled access

 

Tools & platforms we work with

Agent & app platforms

Microsoft Foundry Microsoft Copilot Studio

 

 

Models & model ecosystem

OpenAI Anthropic Claude Google Gemini Mistral Meta Hugging Face

 

 

Search, retrieval & knowledge

Pinecone Perplexity

 

 

Workflow automation & iPaaS

n8n Zapier Tray.ai Microsoft Power Platform Power Automate Power Apps

 

 

Cloud platforms

AWSMicrosoftGoogle Cloud

 

 

AI vision & speech services

AWS Rekognition Google Cloud Vision Microsoft Azure Computer Vision Google Speech-to-Text

 

 

Data, monitoring & observability

Databricks Dynatrace Splunk   

 

 

Security, identity & posture

Okta CrowdStrike Palo Alto Networks UpGuard   

 

 

Enterprise platforms

ServiceNow Salesforce Microsoft Dynamics 365 SharePoint Teams Atlassian Jira Confluence

 

 

Design & delivery tools

Adobe SuiteFigmaMiro 

 

 

Customer experience / content tooling

Heygen

1–2 weeks

1) Quick-start automation sprint

Ideal when you want visible wins fast using n8n/Zapier/Power Automate and your existing systems.

Deliverables:
prioritised automation backlog, 2–5 live workflows, monitoring + handover pack.

2–4 weeks

2) Proof of concept

Best when you need to test a use case with real data and clear success criteria.

Deliverables:
working prototype, integration approach, risk & governance checklist, cost estimate to production.

6 weeks

3) Corporate hackathon sprint

For organisations that want momentum, alignment and multiple validated solutions—not just a slide deck.

Deliverables:
demo day, 1–2 production-ready candidates, roadmap, operating model for rollout.

 

 

Security and governance

We’ll help you move quickly without creating a new risk profile. Typical controls include:

 

Data access by role (least privilege) and approved system boundaries

Audit logs and traceability for decisions and actions

Human approvals where required (payments, customer comms, high-risk actions)

Prompt, data and tool guardrails to reduce mistakes and misuse

Clear ownership: who can change what, and how changes are tested

 

How we work

1 Discover We learn about your business, challenges, and goals.

2 Design We map out the solution architecture and workflows.

3 Build Our team develops and tests the solution.

4 Deploy We launch to production with proper governance.

5 Run & Improve Ongoing support, monitoring, and optimisation.

 

Frequently asked questions

 

What types of AI solutions does Asta deliver?

We build AI agents, automation workflows, and intelligent integrations across your business systems. From conversational bots in Teams to complex document processing pipelines, we tailor solutions to your specific needs using enterprise-grade platforms like Microsoft Foundry and Copilot Studio.
Do you work with our existing systems?

Absolutely. We integrate with your current stack—whether that's Salesforce, ServiceNow, Jira, SharePoint, or custom APIs. Our team has deep experience connecting AI capabilities to legacy and modern systems alike.
How long does a typical AI project take?

Proof of concepts typically run 2–4 weeks. Full implementations vary based on scope, but most projects go from kickoff to production in 8–12 weeks. We use agile delivery to get working software in your hands quickly.
Can you support the solution after go-live?

Yes. Our 24/7 Australian-based managed services team can monitor, maintain, and continuously improve your AI solutions. We offer SLAs tailored to your operational requirements.
What about security and governance?

Security is built in from day one. We implement proper access controls, data handling policies, and audit logging. Our solutions work within your existing security framework, including tools like Okta, CrowdStrike, and Palo Alto Networks.
Do we need to commit to a specific AI model or vendor?

No. We're model-agnostic and can work with OpenAI, Anthropic Claude, Google Gemini, Mistral, and others. We help you choose the right model for each use case based on performance, cost, and compliance requirements.
How do you handle change management and training?

Every project includes documentation, training sessions, and handover materials. We work with your teams to ensure they're confident using and managing the new capabilities.

 

 

Ready to put AI to work?

Let's talk about your challenges and explore what's possible.

Request a proof of concept

 

 

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