AI agents refer to internal information and work with the tools needed to complete tasks. HL supports the entire process, from selecting use cases and prototyping and validation to integration with existing systems and adoption in daily operations. We distinguish steps requiring human judgment from those entrusted to AI and design systems suited to the workplace.
How we help
Internal knowledge search and inquiry support
Search policies, manuals, and past documents to draft responses with references. We consider systems suitable for internal use, including access permissions and document update processes.
Sales and customer service support
Support includes summarizing sales discussions, drafting proposals and emails, and organizing inquiries. Human review and approval are incorporated before external messages are sent or responses finalized.
Back-office assistance
Support includes organizing information from forms and applications, identifying items to check, and drafting reports. We design processes that hand over exceptions and matters requiring judgment to the person responsible.
Integration with existing systems and routine processing
Integrate with business applications and databases to support information retrieval and routine processing. Actions such as updates and registrations are performed within defined permissions and approval conditions.
Design principles for integrating AI into operations
- Validate on a small scale and introduce gradually
- Conduct a proof of concept (PoC) using limited tasks and data to assess response quality, working time, cost, and behavior when failures occur.
- Human review and access control
- Limit accessible information, available tools, and permitted actions. Incorporate approval by the person responsible and action logs for important processes.
- Information management and ongoing evaluation
- Select configurations after checking where data is stored and conditions for its use in training. Continue evaluating and improving the system for potential incorrect responses and inappropriate behavior.
Our support process
Use case selection and requirements clarification
Clarify issues, target data, existing tools, and steps requiring human judgment.
Prototyping and proof of concept (PoC)
Test on a small scale to assess quality, benefits, operating costs, and risks.
Integration development and implementation
Implement system integrations, permissions, approval workflows, monitoring, and logs.
Operation and improvement
Review target tasks, responses, and behavior based on user feedback and evaluation results.
Consultations and inquiries
Start by telling us which tasks take time or which operations you would like AI to handle.
Contact us
