AI product development grounded in real workflows

Choose a workflow where AI has a useful job

Start with the current process: what comes in, what someone decides, which tools they use and what happens next. AI may help with a language-heavy step such as summarising or classifying information. A straightforward rule or conventional automation may be more appropriate elsewhere.

We define the proposed output and the person responsible for it before expanding the interface. This keeps the work tied to a real operational need instead of making the model itself the product.

Test the uncertain part before expanding the system

Data access, output quality and the way people review a result can all affect feasibility. A focused prototype can test the uncertain step using representative examples before a larger product is designed around an assumption.

The scope should identify what happens when information is missing, an output is unsuitable or an external service is unavailable. Review and escalation paths should reflect the consequences of an error. AI output is not automatically reliable simply because it looks fluent.

• •Confirm the inputs and permission to use them
• •Define acceptable outputs and examples of failure
• •Decide where a person must approve, edit or reject a result
• •Check integration access, limits and fallback behaviour

Separate the build from running costs

A first AI workflow and a multi-workflow operations system have different scopes. Several connected processes can require more access controls, operational views and exception handling than a single focused task. The estimate should reflect those decisions, not just the number of prompts.

Ongoing model usage, hosting and third-party services need their own operating budget. We clarify the relevant assumptions during scoping; these costs vary with usage and provider choices. A Product Blueprint can help define the workflow before a build commitment, and continued improvement is optional rather than an ownership lock-in.

Plan the investment before committing.

A Product Blueprint starts from £1,500; a focused MVP or first AI workflow starts from £5,000; multi-workflow AI operations systems start from £15,000+. These are Studio89 starting points, not a quote for every ai products project. Final scope, price and milestones are agreed in writing.