Applied AI & Autonomous Agents
We build deterministic applied AI pipelines that solve concrete commercial bottlenecks. Zero open-ended chatbots, zero hallucinations, and full Australian data sovereignty.
Unstructured Text and Costly Hallucinations
Generic chatbots and fragile Zapier AI steps produce unverified, conversational outputs that cannot be trusted inside core business ledgers. A single hallucinated patient ID or invoice total corrupts downstream billing and destroys operational trust.
Schema-Enforced Validation Loops
We constrain LLM outputs to type-safe Zod and Pydantic schemas. Every extracted record is validated against strict business invariants before touching your database or practice software, guaranteeing deterministic reliability in production.
Applied AI engineering scope
Senior principal execution from architectural blueprint to production deployment.
Deterministic Schema Extraction
Enforce strict JSON data contracts using Zod and Pydantic. We constrain LLM outputs to validated type schemas, eliminating hallucinations before writing to production databases.
Autonomous Agentic Tool Pipelines
Deploy stateful multi-step agent workflows that execute deterministic tool calls, triage incoming referrals, and orchestrate actions across core practice APIs.
Document Ingestion & Parsing
Parse multi-page patient referrals, supplier invoices, and commercial contracts into clean, validated records using Claude 3.7 and Gemini 2.5 vision endpoints.
Self-Hosted Sovereign AI Workflows
Deploy private LLM pipelines on sovereign Australian cloud infrastructure, ensuring patient health information (PHI) and client records never train public models.
Production n8n AI Integrations
Marry self-hosted n8n automation with deterministic LLM endpoints. Handle idempotent retries, rate limits, and dead-letter failovers with enterprise reliability.
Clinical & Practice System Connectors
Direct integration into Cliniko, Halaxy, Xero, and Simpro. Turn unstructured incoming emails and PDFs into structured ledger entries and patient records in seconds.
Foundation models & architectural standards
We match the ideal model architecture to the exact latency, security, and schema complexity of each workflow.
Frequently Asked Architectural Questions
- How do you guarantee zero hallucinations in production?
- We apply constrained decoding and runtime schema enforcement via Zod and Pydantic. If an LLM response fails type validation, automated retry loops or dead-letter queues catch it before any database write occurs.
- Is client data used to train public AI models?
- Never. We enforce enterprise API endpoints with zero-retention policies (Anthropic, Google Cloud Vertex, Azure OpenAI). Patient health information and sensitive financial records remain sovereign in Australian data regions.
- How does applied AI integrate with existing practice tools?
- We bridge AI extraction directly to Cliniko, Halaxy, Xero, and Simpro via authenticated APIs and self-hosted n8n workflow queues, eliminating manual clerical re-typing entirely.
Discuss your firm's AI automation requirements.
Connect directly with our senior principal to evaluate your document pipelines, schema contracts, and workflow feasibility.