12% of cold leads converted to warm opportunities — across five languages and a multi-city portfolio.
Brigade Group is one of India's largest real estate developers. When they needed to activate an offline lead database at scale, they needed AI that could qualify, match, and converse in the language of every buyer.
Results at a glance
12%
of cold leads converted to warm opportunities
5
languages: English, Hindi, Tamil, Telugu, Kannada
Multi-city
portfolio matched to leads in real time
About Brigade Group
Sector: Real Estate Developer
Market: India (multi-city)
AI deployed: Voice + WhatsApp
Languages: 5
Brigade Group is one of India's largest real estate developers, with an active portfolio of residential and commercial projects across multiple cities. With a diverse range of projects targeting different buyer profiles — from first-time homeowners to large-scale investors — Brigade's sales operation must manage high volumes of leads across varied geographies, languages, and buyer intents.
The Challenge
The problem MonkSpaces.Ai was brought in to solve
Brigade had accumulated a significant database of leads collected through offline channels. The challenge was validating and qualifying this database efficiently before committing sales team resources to it.
Offline lead quality
Leads from offline sources are typically less pre-qualified than digital inbound. Before any site visit or senior sales engagement, each lead needed to be contacted, qualified, and matched to a relevant project.
Language diversity
A substantial portion of Brigade's lead base preferred to communicate in regional languages. Reaching them in Hindi, Tamil, Telugu, or Kannada was a prerequisite for meaningful engagement.
Multi-project portfolio complexity
Brigade was actively marketing projects across multiple cities simultaneously. A high-value investor lead should not be tied to a single project — the AI needed to understand the full portfolio and match each lead to the most relevant opportunity.
The Solution
How MonkSpaces.Ai deployed the AI workforce
MonkSpaces.Ai deployed a voice and WhatsApp AI workforce for Brigade, trained to operate as a knowledgeable representative of the developer — not just a single project.
Multi-project training
The AI was trained on Brigade's full portfolio across multiple cities, including project details, pricing, configurations, and target buyer profiles, enabling accurate matching in live conversations.
Developer persona
Rather than building a project-specific AI, the AI was given a Brigade brand persona — capable of presenting options from across the portfolio and guiding buyers to the most relevant opportunities based on their intent and budget.
Five-language capability
The AI was trained and deployed in English, Hindi, Tamil, Telugu, and Kannada, enabling it to qualify leads in their preferred language without any degradation in conversation quality.
Voice and WhatsApp deployment
The AI operated across both voice and WhatsApp, matching the communication preferences of a diverse lead base and ensuring consistent follow-up across both channels.
The Outcome
Measurable results from AI execution
Following deployment across Brigade's offline lead database:
12% of the cold lead database was converted into warm, qualified opportunities and handed to the sales team for further engagement.
Leads were successfully engaged across five languages, expanding the effective reach of the campaign to regional buyer segments.
Sales team time was protected — human representatives only engaged leads that had already been qualified and matched to a relevant project.
See what happens
when AI runs execution.
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