AI features and agentic workflows, built into business software.

We build AI capabilities into the software people actually use. Document intelligence, retrieval-augmented assistance, agentic workflows, AI-augmented data processing. We don't train foundation models. We don't sell AI strategy. We ship working AI-enabled software.

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What we build, concretely

Document intelligence

Extract, classify, summarise, and route documents inside business workflows. PDFs, forms, statements, contracts, identity documents. Production-oriented evaluation, human review gates on consequential outputs, observable workflows, and clear fallback paths when the model is unsure.

Retrieval-augmented assistance (RAG)

Internal knowledge bases your team can query in natural language, grounded in your actual content with citations. Vector search, retrieval pipelines, and the orchestration layer that ties it to your application.

Agentic workflows

Multi-step automations that combine tool use, structured outputs, and human approval gates. The kind of workflow where AI handles the routine path and humans decide on the exceptions.

AI-augmented data processing

Classification, extraction, enrichment, and routing pipelines that combine deterministic logic with LLM judgement where each earns its place.

AI features inside your existing product

Drafting assistance, smart suggestions, semantic search, embedded chat, built into a product you already ship, in the stack you already use.

What we don't build

-Foundation model training or fine-tuning at the model level (we work with existing models: OpenAI, Anthropic, Azure OpenAI, open-weights via your infrastructure).
-Generic AI strategy consultancy without a build attached.
-Hype-driven agentic systems where humans can't see what the agent did or why.
-Standalone chatbots without a clear business purpose.

How we engage

As a Custom Build

If the AI capability is the substance of a new system. Fixed-phase Discovery, MVP, Production Hardening, same as Custom Software Builds.

Discovery USD 4,000 to 12,000; build USD 30,000 to 140,000 typical.

As an AI Pod

Added to your existing build, if you have a product team and you need AI engineering capacity layered in. Senior engineer plus an AI specialist, monthly retainer, integrated into your existing PR review and release cadence.

The discipline we bring

We have built and operate an AI-augmented operations platform in production for an Australian fintech and AI software client. That work taught us what holds up:

?Deterministic logic where AI judgement would be unsafe.
?Human review gates on consequential actions.
?Evaluation harnesses that do not rely on vibes.
?Observable AI workflows over prompts and outputs.
?Structured outputs rather than free-text.
?Clear fallback paths when the model is unsure.
?Audit-friendly logs.
?A clear bill of materials for what model handles what.

We bring that same discipline to your build. Not as theatre, as the difference between an AI feature that ships and one that gets quietly turned off three months later.

Models and infrastructure

We're model-agnostic. We work with OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-weights models via your cloud.

We follow the Bring-Your-Own-Key principle: you hold the vendor account and the API key, and we build the software that uses it. That keeps your spend transparent and your data-handling under your contract, not ours.

Have an AI feature in mind?

Tell us what you're trying to automate. We'll give you an honest read on whether AI is the right tool and how we'd approach it.

Book a discovery call