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AI Projects — applied AI for your organization, not slide-deck AI

We ship AI when it moves a real KPI. For organizations with a specific problem worth solving — a signal hidden in tens of thousands of reviews or tickets, a forecasting question your analysts can't crack, a customer-comms volume the front line can't keep up with — our AI team designs, trains, and deploys the model in production. Same team behind WeBee Insta's AI agent.

Beachcomber Resorts & Hotels — Mauritius

"Beachcomber operates a portfolio of flagship resort properties across Mauritius — managed on WeBee for over six years as a single multi-property deployment with portfolio-level reporting, group-wide branding, and per-property local configuration. A detailed Beachcomber case study with operator quotes will be published shortly."

6-year multi-property partnership

Portfolio of flagship resorts · 4.8 avg guest satisfaction

Why this matters

AI vendor pilots that never go to production

Six-month proof of concept. Slide deck at the end. Nothing shipped to a real user.

Generic LLM hallucinations on customer-facing surfaces

Off-the-shelf chatbots confidently invent products, policies, and prices your organization doesn't have.

Operational data you can't get a useful answer out of

Years of operational data, reviews, and customer messages — but no model trained on it that answers the questions a decision-maker actually asks.

How WeBee solves it

Custom LLM-based agents

Trained on your organization's facts, brand tone, policies, and FAQs. Production-deployed, not chat-window demos. Same architecture as WeBee Insta.

Reputation + review analytics models

NLP across the platforms where your customers leave feedback, categorized by theme, severity, and trend. Daily digest to the team that owns it.

Forecasting + demand modeling

Custom forecasts on your own historical data — not industry averages. Built for whatever metric your business actually plans against.

Discovery → MVP → production in 8–14 weeks

Scoping → data assessment → model training → API integration → A/B rollout. Senior ML engineers, not subcontracted.

Featured products

Have a project in mind?

Tell us about your organization and what you're trying to solve. A senior engineer will reach out within one business day with scoping questions and a likely shape of the engagement.

Talk to Our Team