AI systems engineering capability

AI products and applications

Production web and mobile products, product architecture, LLM reasoning, decision interfaces, testing, deployment, and handover.

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A focused first build

Build one useful product workflow first

For founders and product teams commissioning an AI application or adding a defined AI feature to an existing product.

Define the product

Identify the user, the task, the source information and the output they can act on. Agree on what the first release includes and what belongs in a later phase.

Build the application

Scope the interface, back-end, model integration and required system connections together. A first phase could be a document-to-report workflow with a review screen, or a focused assistant inside an existing application.

Test the behavior

Use representative examples and failure cases to agree on acceptance. Include permissions, invalid inputs, approval steps, cost limits and recovery from unavailable services.

Hand over a usable system

Define the deployment environment, code and account ownership, documentation, rollback and support boundary. Launch acceptance and later feature development need separate definitions.

Budget and delivery scope

Our target for an initial scoped engagement is USD $5,000–$20,000, with longer projects possible. The proposal determines which deliverables fit the budget. Additional data cleanup, integrations, interfaces or operating requirements may need a separate phase. Model usage, hosting and ongoing support are estimated explicitly.

This range describes the engagements we are looking to scope. It is not a market average, a fixed package price or a guarantee that every product can be completed within it.

Prepare a useful first brief

Bring the intended users, one workflow, example inputs and outputs, existing stack, required integrations and the person who can accept the work. Include the budget and target date so dependencies and acceptance can be considered before committing to a schedule.

Estimate the application scope and operating cost →

For published delivery evidence, read Attuned Health’s Shopify AI results platform: multi-stage report preparation, practitioner review and customer access. The case study describes the implemented workflow without quantified outcome claims.

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