Ask your business data. Turn answers into action.

Yes. Start with the outcome you want and where work gets stuck. We also consider changing the process or using conventional automation without AI when that is the better fit.

Start by considering frequent tasks where the required information is available and results can be checked. Gathering information, comparing documents, regular reporting and handling routine enquiries can be candidates. We weigh error correction and running costs alongside time spent to agree priorities.

Personal AI use helps with writing and organising information. An AI agent connected to company work can use permitted data and system functions to query, analyse and perform tasks. Data connections, user permissions, result validation and operational responsibility must also be designed. We do not add AI to every task when existing tools are sufficient.

Replacement is not the starting assumption. We first examine data, access permissions and connection options such as APIs, databases and files. We assess whether current tools are sufficient or need improvement. lapal builds AI and workflow tools, collaborating with Sol IT where ERP, finance or existing-system integration is involved.

We can assess that situation too. First identify where the required information is, how consistent its format and content are, and who can access it. Rather than organising everything upfront, we consider connecting the information needed for one task. Missing or conflicting information still requires collection, preparation and validation.

Yes. AI agents can be built to use connected system functions to perform tasks, not just generate replies. Our system also supports agent-driven function control and task execution. For a customer implementation, we check which functions can be connected, user permissions and which actions need review or approval. Actions that change records or send messages are designed with approval and recording in mind.

Our system supports conversations and task requests through supported work channels, including Telegram. We agree channels and tasks around your environment and check what information may pass through external channels and what actions are permitted. Connecting other messaging tools your team uses requires a separate review of support and integration options.

Agree validation criteria for queries, analysis and execution for each task. For data queries, agree business definitions and calculation rules, make sources and calculation bases checkable, and compare results with existing reports or verifiable records. For task execution, separately define pre-execution checks and how completion is verified. Design the tool to request clarification when evidence is insufficient or a question is ambiguous.

We do not assume all information should go to an external AI service. We first examine the tools’ data-processing terms, sensitive information, and access and transfer boundaries to select the necessary data. User access and information shown in external channels are defined separately. Storage location, processing and retention terms are checked against the project environment. Designated people remain responsible for important decisions and approvals.

It depends on the task, but existing tools and familiar channels can be a starting point. We distinguish decisions people retain from tasks AI handles, and agree result checks and exception handling. Rather than assuming headcount reduction, we validate whether repetitive work and the burden of checking actually decrease.

Yes. We can work through problem definition, implementation and validation, or agree a scope focused on consulting or training. Training goes beyond a general AI introduction and centres on real work tasks, tools and result review. When a tool is built, we also agree training and handover so the responsible team can continue using it.

They depend on the task, data readiness, connections and execution scope, and validation and training needs. We agree the first implementation scope and success criteria, then identify your responsible people, required information and permissions. Build costs are distinguished from AI, server and other running costs. Maintenance and ongoing support are also agreed. A brief description of the task and current systems is enough for a first conversation.