AI agent development
Define agent tasks, permitted tools, data access and human approval points. Scope application development, integration and evaluation around a bounded workflow.
Explore AI agent developmentSWSAM services
SWSAM develops and integrates AI applications around defined organisational needs. Start with the workflow you want to improve, then agree the data, system boundaries and human oversight needed to build a useful solution.
Discuss an AI development projectDiscuss AI agents, language and knowledge applications, workflow automation, voice applications or computer vision. We scope the work around the decisions and tasks the system should support, rather than choosing a model before understanding the problem.
The engagement can cover use-case definition, a prototype, application engineering and integration. Production responsibilities, deployment arrangements and ongoing support are agreed for the project.
Bring a description of the workflow, the people involved, the systems it uses and any representative data you are permitted to share. We use that context to define inputs, outputs, permissions, integration boundaries and how the result will be evaluated.
A prototype should answer a specific delivery question. Before progressing, agree what would count as a useful result, which failures require human intervention and what needs to be resolved before wider use.
Engineering, governance and security answer related questions. This page covers building the application. Our AI governance and technical AI security services provide separate routes for ownership, oversight and assessment of the system.
If you want an existing platform rather than a custom build, explore Yally for governed AI workflows and Hyper-i for identity and computer vision. We can discuss which route fits the intended use.
Define agent tasks, permitted tools, data access and human approval points. Scope application development, integration and evaluation around a bounded workflow.
Explore AI agent developmentScope a language or knowledge application around its users, information sources and expected outputs. Agree source access, evaluation and human review before wider use.
Explore Generative AI & NLP developmentMap the task, decisions and systems in an operational workflow. Agree automation boundaries, approvals, exception handling and integration responsibilities.
Explore AI workflow automationDefine the conversation, users and systems involved in the voice workflow. Confirm language, channel, integration and evaluation scope before agreeing the development work.
Explore Voice AI development