I built Lama around a simple question: What if business intelligence behaved like a sharp, always...I built Lama around a simple question: What if business intelligence behaved like a sharp, always...
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What if business intelligence behaved like a sharp, always-available employee instead of a collection of disconnected reports?
Lama brings morning briefings, context-aware conversations, governed dashboards, visual analysis, and executive reporting into one responsive experience.
She understands the metric, period, region, and grouping behind a question. She remembers the context when users follow up and returns decision-ready evidence as text, tables, charts, dashboards, or shareable reports.
The goal is simple: reduce repetitive reporting work and give decision-makers more time to stay focused on the business.
I designed the product, interaction model, responsive experience, reporting workflow, and technical architecture from end to end.
Lama is now available on my Contra profile as an AI BI discovery and implementation blueprint.
I would love to hear from BI professionals, product designers, founders, and business leaders. Where would a virtual BI employee create the most value in your organization?
#BusinessIntelligence #ArtificialIntelligence #ProductDesign
For a local workshop I'd keep the scroll bike for the hero and make the service sections quick to scan. The "what does my bike need" flow is the part that could actually bring bookings.
This is a customer support chatbot that help users to sell their products online.
User will chat with on your website.
It collect leads on your behalf gather detail in a google sheet.
It will even create meeting add to your Google calendar. It is useful for you as an individual, an entrepreneur, as somebody delivery services or product.
I use my niece boutique as a reference.
Tools:
Ai Agent, Ai chat model, memory, code tools, Google sheet and Google calendar.
Ai Agent: as Ai agent you it a task, it will use several tools at it's disposal to respond and act based on the system prompt.
Ai chat model: respond to all the chats.
Memory: you give your agent memory so that it can remember everything read understand and interpret it.
Code tool: It return the days of the week.It gather information about people that are chatting even see them as potential buyers or not.
Google sheet: It record every sales.
Google calendar: You use Google calendar to book an appointment with your customers