Each agent is scoped to one domain of your business, connected to live ERP data, and designed to explain—not guess. Ask in English or Arabic, by chat or voice where enabled.
Marvella · Haysinda
Instead of a single chatbot that tries to do everything, Marvella deploys separate agents with clear boundaries. Financial questions stay in finance; inventory stays in inventory—so answers stay accurate and your team stays in control.
Interpret income statements, cash flow, balance sheets, and KPIs from your posted figures—with period comparisons when you need them.
Channels: Chat, streaming, and real-time voice
Customer, supplier, and employee statements with aging insight—without exporting spreadsheets.
Channels: Chat, streaming, and real-time voice
Stock balance, item cards, movement summaries, and analytics—with charts rendered from your warehouse context.
Channels: Chat and streaming
Book, reschedule, or cancel appointments through conversation—using real providers, services, and available slots.
Channels: Chat, voice, and guided tap actions
Start from the financial report, party statement, inventory view, or booking screen you already use. The agent receives the same filtered context as the page.
Type or speak your question in English or Arabic. The agent answers from the JSON context supplied for that session—not from the open internet.
Read the explanation, charts, and tables. Your team validates before anything changes in the books or calendar.
Each agent has its own persona and scope. Booking will not analyze your P&L; finance will not invent stock levels.
Numbers and labels come from your ERP context. If data is truncated, the agent says so and uses summaries.
Agents respect the same permissions as your users—financial, inventory, party, and booking capabilities are gated separately.
Agents explain and assist; they do not post journals, move stock, or confirm bookings without your workflows.
Request a Marvella demo from Haysinda and walk through the agents on your own data structure.