Qaicu: Enterprise AI
for companies

“Which costs are out of line with the comparison period, and what does production need to know about them?”

For example, Qaicu links accounting transactions to cost centres, projects and budgets. Core calculates totals and variances by agreed rules. Working from those figures, an agent can prepare a checklist, an analysis or a draft report suited to its audience.

Recurring period-end close checks can become workflows. That frees the finance team to focus on assessing variances and acting on them.

Built on: deterministic calculation, historical data, shared calculation rules, and agents and workflows.

“Which customers have upsell potential, and why?”

Qaicu can combine CRM records, purchase history, contracts and customer profitability. With that in place, the sales team can spot accounts worth a closer look and prepare reasoned proposals for next steps.

Before a meeting, a salesperson can gather the account’s status, past conversations and open issues, and draft an agenda and objectives. Emails and meeting transcripts become usable once they are connected to the information base.

Built on: recognising the same customer across systems, combining documents with transaction data, and agents set up for sales work.

“What should I do if I fall ill, and where can I find the guidelines?”

Qaicu can run an HR assistant that bases its answers on the company’s own HR policies and documents. Employees find the guidance and its source in the same conversation.

HR gets one consistent way to answer recurring questions and support onboarding. General staff guidelines and restricted personal data sit behind separate permissions. Using the HR assistant does not give access to salary or employment contract information.

Built on: document-based search, traceable sources, a dedicated agent and permissions checked before information reaches the language model.

“In which projects are costs growing faster than invoicing?”

Qaicu combines projects, time entries, purchases, contracts and invoicing. Core calculates each project’s costs and margins with defined calculation logic. The AI’s job is to help you examine variances and prepare follow-up analysis.

A professional services firm can look at resourcing and profitability together. A construction company might draw on information from completed projects when preparing new bids.

Built on: a shared data model for projects, information combined from multiple sources, historical data and calculation.

“How do we support the business’s AI needs without building a separate data solution for every team?”

Qaicu brings integrations, a semantic information base, permissions and calculation into one architecture. Staff get a ready-to-use environment. Your own agents can connect to the same information base through the API or MCP, depending on the agreed setup.

Your data model and calculation logic stay the same, even if you change language model. New use cases can build on the integrations and configuration already in place.

Built on: Qaicu Core, pre-built integrations, an open API, MCP and a data layer kept separate from the language model.