Case study
SyncBricks, Agents as a Service (AaaS) for Enterprise
An AI-first Agents as a Service (AaaS) platform delivering 65+ production-ready AI agents on Australian infrastructure. Subscribe, deploy, and scale, no in-house AI team required.
- Standardised agents
- 65+
- Cost reduction
- 35%
- ROI demonstrated
- 300%
- Uptime
- 99.9%
Technologies
What we were actually solving.
- Most organisations want AI but have no internal AI expertise.
- Unclear ROI, they cannot identify which processes to automate first.
- High implementation risk, custom AI projects are expensive and often fail.
- Even successful deployments degrade without managed operations.
How we worked the problem.
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Phase 01
Agents as a Service (AaaS), the productised model
Instead of one-off custom AI builds, 65+ standardised AI agents are productised across Finance, HR, Sales & CX, Supply Chain, and Communications/IT. Each agent is production-proven, subscription-priced, and works independently alongside employees rather than only assisting.
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Phase 02
Transparent service tiers
Process Discovery (A$8,000 one-off) · Scale (A$20,000/month) · Enterprise (custom) · Hourly consulting (A$200 + GST). Clear scope, no surprise invoicing.
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Phase 03
5-phase implementation framework
Discover → Design → Develop → Deploy → Scale. Supports both human-in-the-loop and fully autonomous automation.
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Phase 04
Australian infrastructure
All agents run on Australian-hosted, secure, compliant infrastructure. Your data stays in Australia.
What shipped, and what it does.
- Finance (13 agents), OCR invoice extraction, bank reconciliation, credit-debit matching.
- HR (10 agents), Resume parsing, onboarding, payroll automation, recruitment.
- Sales & CX (11 agents), Lead qualification, CRM automation, email sequencing, inquiry handling.
- Supply Chain (8 agents), Procurement workflows, inventory management.
- Communications & IT (23 agents), Ticket triaging, backup automation, Slack/Teams bots, auto-remediation.
- "Wendy" (SB-WEB-001), 24/7 web development agent, 98% accuracy, 90+ Lighthouse scores.
The numbers.
- 65+
- Standardised AI agents
- 250+
- Processes mapped
- 35%
- Cost reduction
- 300%
- ROI demonstrated
- 99.9%
- Uptime
- 98%
- Agent accuracy
What transfers to your situation.
- Agents as a Service (AaaS) is the unlock. Standardised, subscription-priced agents close sales cycles that custom work cannot.
- Transparent pricing disarms procurement, A$8k/A$20k/custom beats "it depends".
- Managed operations is the moat, deployment alone is not a business; continuous optimisation is.
- Keep the data in-country, "Australian infrastructure" is not marketing, it is a procurement checkbox.
What was under the hood.
- Delivery model
- Agents as a Service (AaaS), subscription + managed ops
- Workflow automation
- n8n (self-hosted, open source)
- Models
- OpenAI, Anthropic Claude, Ollama, Mistral
- Vector DBs
- Pinecone, FAISS, Qdrant, Weaviate
- Orchestration
- LangChain, MCP servers, RAG pipelines
- Hosting
- Australian-hosted, secure, compliant
Could this work for you?
If your situation rhymes with this case study, the shortest path is a discovery call.