Product definition and feasibility
Name the user task, available inputs and acceptable result. Compare the AI-assisted approach with the current method or ordinary software rules.
AI application services
Build the user task and the checks around the AI.
A focused first scope can establish whether the proposed feature is useful before a wider product investment.
Model and provider comparison
Evaluate suitable candidates on the agreed task. Include permitted data handling, cost, response time and deployment requirements rather than selecting from a model name alone.
Application interface and review
Let users provide the needed input, understand the result and correct or reject it. Include pending, unavailable and unsupported-request states.
Relevant information and system connections
Connect approved documents or business tools where needed. Define access rules and any actions requiring human approval.
Evaluation and change checks
Keep a representative set of permitted examples and expected outcomes. Recheck relevant behavior after changing prompts, models, data sources or application code.
Deployment and operating costs
Include usage limits, error review, release recovery and support responsibilities. Test the application under an agreed pilot workload before wider rollout.
Need a particular kind of AI system?
Explore knowledge assistants, workflow automation or private deployment for those specific tasks.