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Generative AI
Text, image, audio and code generation features, released with evidence that their output meets the standard set for them.
About Generative AI
Generative AI services embed generation features in an existing product or workflow. The engineering work lies in constraining generation to the organization's standards: tone, terminology and factual accuracy for text, provenance and rights for images and audio, and correctness and security for generated code. We design each feature with the controls that make its output acceptable for external or regulated use.
We define quality criteria and safety policies before building, encode them as an evaluation set and content filters, and add human review where the consequences of an error warrant it. We log generated output with the inputs and model version behind it, so you can reproduce any result on request. Rights and provenance records for generated media stay with the output and remain available for review after publication.
What you receive
- Production generation features integrated into the product
- Quality and safety evaluation set
- Content policy and filtering controls
- Output logging with inputs and model version
When to engage
Engage when you plan a generation feature for customer-facing or regulated use and its output must meet a defined standard before release.
Common questions about Generative AI
What generative AI features do you build?
Features that generate text, images, audio or code inside an existing product or workflow, such as drafting correspondence, summarizing documents, producing product imagery or assisting developers. Each is released with evidence that its output meets the standard set for it.
Can generative AI meet our brand and terminology standards?
Yes. Your tone, terminology and factual standards are written down before building and tested on every change. Outputs that fall outside them are blocked or routed to human review, depending on the consequences of an error.
Can generative AI be used in regulated communications?
Yes, with controls matched to the risk. Outputs that reach customers or regulators can pass through human review before release, and each one is logged with the inputs and model version behind it. That record lets compliance teams reproduce any message on request.
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Discuss this service on a call.
Describe the objective and the systems it affects, and we will outline how an engagement would proceed.