SERVICE AREA 03

AI and Automation

Apply assistants, deterministic workflows or privately deployed models to a defined business task.

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AI assistants and business applications

Add AI to a defined business task, with approved information sources, useful tool access and human review where the result needs checking.

Useful when

For teams with a specific information or communication task that an assistant could help complete. The task might involve finding an internal answer, triaging a request or drafting a document. The engagement starts with approved sources, permitted actions and the point at which a person should review the result, rather than an open-ended promise of autonomy.

Illustrative work

An illustrative support assistant retrieves relevant material from approved documents, prepares a response and routes an uncertain request for review. A separate task could summarize a call or extract a structured record. Where tools are involved, their permitted actions should be narrower than the assistant’s general language abilities.

Workflow automation and process digitization

Move recurring approvals, reminders and record updates through a visible workflow, with exceptions routed to the people who can resolve them.

Useful when

For operations teams whose recurring work depends on someone remembering an approval, moving a file or updating another system. This service organizes the sequence of those tasks and the exceptions around them. It is useful when the steps are known but their execution and handover are inconsistent, whether the underlying workflow uses a platform, browser automation or simple rules.

Illustrative work

For example, an invoice enters a queue, required information is checked, approval is requested and the status is updated after the responsible person acts. A missing detail takes a separate review path rather than allowing the next step to proceed with incomplete information.

Private AI systems and applied machine learning

Deploy and adapt models around your data and operating environment, from private assistants to forecasting, classification and other applied machine learning.

Useful when

For businesses that need AI models to fit particular data access, deployment or analytical requirements. The work can involve a private assistant or an applied model such as classification, forecasting or anomaly detection. The distinguishing question is how the model, its information and its operating environment are selected and adapted, rather than only the conversation interface around it.

Illustrative work

An illustrative private assistant connects permitted documents to a model running in the agreed environment. A classification workflow instead prepares examples, evaluates model outputs and connects the result to a business process. These are different deployments and should not be treated as one default chatbot package.

Combine the services around your objective.

Start with the information, permitted actions and review boundary. An assistant, an automated process and a model deployment solve different parts of the work.

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