[ Services ]

AI Consulting Services in Australia — Zero PowerPoints

Practical AI strategy, automation, and engineering for teams across the world. Every engagement is shaped around a working outcome.

01
2–4 weeks

AI Strategy & Discovery

We map your workflows, data, and economics. Output: a ranked portfolio of AI bets with feasibility, cost, and ROI for each.

Deliverables
  • →Opportunity map
  • →Tech feasibility audit
  • →Build vs. buy recommendations
  • →30/60/90 roadmap
02
6–10 weeks

RAG & Retrieval Systems

Production retrieval over your proprietary data — chunking, hybrid search, rerankers, and an eval harness that catches regressions before users do.

Deliverables
  • →Ingestion pipeline
  • →Hybrid retrieval stack
  • →Eval dataset + dashboards
  • →Observability hooks
03
8–14 weeks

Agents & Workflow Automation

Multi-step agents with tool calling, memory, human-in-the-loop checkpoints, and the guardrails to keep them out of trouble.

Deliverables
  • →Agent runtime
  • →Tool registry
  • →Trace + replay UI
  • →Permission + audit layer
04
4–8 weeks

Fine-Tuning & Distillation

Domain-tuned models with smaller footprints. We squeeze GPT-class quality into models you can actually afford to run.

Deliverables
  • →Curated training set
  • →Tuned model weights
  • →Eval comparison report
  • →Deployment runbook
05
3–5 weeks

Evaluation Infrastructure

If you can't measure it, you can't ship it. We build eval pipelines that gate releases on quality, cost, and latency.

Deliverables
  • →Eval framework
  • →Synthetic test generation
  • →CI integration
  • →Drift monitoring
06
Ongoing

Embedded ML Team

Senior engineers embedded with your team. We write code in your repo, attend your standups, and leave a stronger team behind.

Deliverables
  • →Dedicated pod
  • →Weekly demos
  • →Knowledge transfer
  • →On-call playbooks