Cut Call Triage Time with Voice AI for Construction

Most construction offices rely on standard VoIP systems like RingCentral. They record calls and offer basic transcription, but the output is an unstructured wall of text. A dispatcher still has to read the entire transcript, identify the key details, and manually type them into a job management tool like Procore or Buildertrend. This manual data entry is slow and prone to error.

Some teams try off-the-shelf phone bots from platforms like Talkdesk. These tools are built for e-commerce, not construction. They fail when a caller uses industry terms like 'punch list,' 'change order,' or a specific material name. Their integrations are generic, connecting to Zendesk or Salesforce, but not to the construction-specific software your team actually uses.

Imagine a project manager calls about a material shortage for a specific job site. The call goes to a shared office line. An admin listens to the 3-minute voicemail, writes down the details, looks up the project ID in your system, and then creates a ticket. That single call takes 6 minutes of work. At 50 calls per day, one person spends over 5 hours just on data entry, and critical requests can sit unanswered for hours.

Syntora would approach this problem by first integrating with your existing telecommunications infrastructure, routing your inbound phone number through a service like Twilio. A webhook would then send the live audio stream of every call to a dedicated AWS Lambda function. Inside this function, we would use a real-time transcription service, such as AssemblyAI, to generate a live transcript with speaker labels. This initial transcription typically processes audio with minimal latency.

As the transcript is generated, it would be streamed to the Claude API. Syntora would engineer a custom prompt to act as an expert construction dispatcher, guiding the model to extract specific entities from the conversation. These entities would include caller name, callback number, job site address, project ID, urgency level, and a concise summary of the call's purpose. Claude returns this information as a structured JSON object, a format we have found more reliable for specific data extraction than generic methods. We have experience building similar document processing pipelines using the Claude API for financial documents, and the same pattern applies to construction-related calls and their associated information.

The Lambda function would then take this structured JSON data. Using an asynchronous requests library like httpx, it would make a direct API call to your existing construction management software, whether it's Procore, Buildertrend, or a specialty CRM like AccuLynx. A new service ticket would be created with all extracted fields pre-populated. The full call transcript and a link to the audio recording would be attached as a note. The objective is to automate ticket creation immediately following the call.

Syntora would build the system with structured logging using libraries like structlog, with logs sent to AWS CloudWatch for monitoring. We would configure alerts that trigger if the function encounters repeated errors or if the Claude API latency exceeds defined thresholds. The deployed system would run within your own AWS account, with typical operational costs for this architecture being low, often under $40/month for up to 1,500 calls. As a deliverable, you would receive the full Python source code for the custom components, ensuring transparency and long-term ownership. The client would be responsible for providing API access credentials for their existing phone system and construction management software.