| Client | Brickfolio |
| Industry | Real Estate Consultancy (Residential, Commercial, Property Management, Corporate Relocation) |
| Engagement | AI Voice Agent Design, Development, and Deployment |
| Built by | Teleglobal International |
| Technology | Amazon Bedrock, Amazon Transcribe, Sarvam AI (TTS), AWS Lambda, Amazon S3, Amazon QuickSight |
Client
Brickfolio is a full-service real estate consultancy specialising in commercial and residential real estate, property management, and corporate relocation. They serve property investors, commercial enterprises, residential home seekers, corporate clients, and developers across multiple service lines simultaneously.
Challenge
In real estate, the first person to call back usually wins the lead. Industry data shows that responding within the first 60 seconds of enquiry can lift conversion by up to 391%, while roughly 60% of callers who reach voicemail simply call the next provider. With enquiries arriving daily across four service lines, Brickfolio’s team could not realistically reach every lead within minutes, especially outside working hours. This resulted in lost mandates and cold pipelines.
Manual tele-calling also consumed significant consultant time on first-contact screening: identifying the service line, understanding budget and timeline, and routing to the right team. This left less time for site visits, negotiations, and closings.
Solution
Teleglobal built and deployed an AI voice sales agent for Brickfolio. The agent is an autonomous, natural-sounding calling assistant that engages every inbound and outbound enquiry within seconds across all four service lines. Rather than routing callers through a rigid IVR menu, it holds a real conversation in the caller’s language of choice.
How it works
- Instant trigger: The moment an enquiry is captured (website form, missed call, WhatsApp, or campaign landing page), AWS Lambda triggers the AI agent to place an outbound call within seconds, or answer an inbound call instantly.
- Call placement and reception: Amazon Connect (or a SIP telephony provider) handles the actual placing and receiving of phone calls – routing inbound calls to the AI agent and initiating outbound calls to leads the moment an enquiry is captured.
- Speech understanding: Amazon Transcribe converts the caller’s speech to text in real time, including Hindi/English code-switching common in Indian conversations, while handling interruptions and natural back-and-forth.
- Conversational reasoning: Amazon Bedrock (LLM) drives the conversation logic. It identifies which service line the caller needs, answers property and pricing questions, handles objections, and adapts the pitch to investors, occupiers, or corporate clients.
- Natural voice response: Sarvam AI generates the spoken reply in Hindi, Marathi, Tamil, Telugu, Kannada, Bengali, English, or a mix, giving the agent a native-sounding voice for Indian callers.
- Structured data capture and CRM sync: Every call is converted into structured deal data (requirement, budget, urgency, service line, preferred consultation slot), stored in Amazon S3, and pushed into Brickfolio’s CRM with the appointment booked automatically on the relevant consultant’s calendar.
- Warm handoff: When the caller is ready to move forward or asks for a human, the AI agent transfers the call with full conversational context to a live consultant. No repeated questions, no cold restart.
- Reporting: Amazon QuickSight surfaces a real-time voice-sales dashboard for leadership showing calls attempted vs. connected, qualification rate, consultations booked, and conversion by service line.
Technology Decisions
Why Amazon Bedrock for conversational reasoning
Bedrock provides native AWS integration with Lambda, S3, and CloudWatch. It runs pay-per-request with no idle compute costs, keeps data within the AWS account without sending it to third-party APIs, and includes managed prompt versioning and guardrails. Using GPT-4 via Azure OpenAI Service or OpenAI’s API would have meant managing a separate vendor relationship, sending caller conversation data outside the AWS environment, and building a custom guardrails layer from scratch.
Why Sarvam AI for text-to-speech
Sarvam AI is an Indian foundation-model company purpose-built for Indian languages. It offers significantly higher naturalness and accuracy for Hindi and regional-language speech than general-purpose global TTS engines like Amazon Polly. It handles Hindi-English code-switching mid-sentence natively. Pairing Sarvam with Bedrock (reasoning) and Transcribe (speech-to-text) gives the voice agent a stack tuned for how Brickfolio’s Indian callers actually speak.
Technology Stack
| Service | Role |
| Twilio / SIP Telephony | Call placement and reception – inbound and outbound telephony layer that initiates and receives phone calls |
| Amazon Bedrock | LLM-powered conversational reasoning across four service lines |
| Amazon Transcribe | Real-time speech-to-text with Hindi/English code-switching |
| Sarvam AI | Indian-language text-to-speech with native accents |
| AWS Lambda | Serverless orchestration connecting every step of the pipeline |
| Amazon S3 | Structured deal data storage and call recordings |
| Amazon QuickSight | Real-time voice-sales dashboard for leadership |
| CRM Integration | Automatic deal creation and calendar booking via Lambda |
Results
| Metric | Outcome |
| Lead response time | Under 60 seconds for every enquiry, including after hours and weekends |
| Enquiry coverage | 100% of leads contacted within minutes, versus ~60% previously lost to voicemail |
| Conversion potential | Industry benchmarks indicate 2x to 3x improvement when response drops from hours to under a minute |
| Qualification rate | Personalized AI outbound calls achieve 45 to 60% conversation and qualification rates |
| Contact rate improvement | Up to 2x versus manual follow-up by eliminating callback delays |
| Consultant time freed | First-contact qualification handled by AI across all four service lines |
| Languages supported | Hindi, English, Marathi, Tamil, Telugu, Kannada, Bengali, with natural code-switching |
Market Context
AI-driven real estate automation is projected to unlock $430 to $550 billion in annual value globally. Voice AI adoption is growing fastest in high-consideration sectors like real estate, mortgage, and insurance, where the cost of a missed lead is high and the first responder advantage is well documented.
What Comes Next
Additional service lines or regional offices can be added to the Bedrock prompt configuration without rebuilding the pipeline. The Sarvam AI integration supports new Indian languages as they become available. QuickSight dashboards can be extended with conversion attribution and ROI tracking as Brickfolio collects post-call outcome data.
Teleglobal International is an IT consulting and cloud services company, and an AWS Advanced Consulting Partner, serving 900+ clients across India, the US, the Middle East, and Europe. Get in touch to discuss building an AI voice agent for your business.