Automate Client Deliverable Tracking with a Custom AI System

Most service businesses use a project management tool like Asana or Trello. Their email-to-task features can create a task from an email, but they don't extract structured data. You get a raw email dumped in a task description, not a specific deliverable with a correct due date. The burden of parsing and structuring the information still falls on a project manager.

For example, consider a 20-person agency signing a new client. The Statement of Work is a 12-page PDF with over 25 distinct deliverables. The project manager spends two hours manually creating tasks in Asana, setting dependencies, and assigning owners. Weeks later, the client emails a simple request: "Let's push back the Q3 content calendar delivery by two weeks." The project manager must now manually find that specific task, calculate the new date, and update it. If they miss the email, the deadline is missed.

Helpdesk tools like Front or Help Scout are better at managing communication but treat each message as a separate ticket. They cannot track a single deliverable that evolves across multiple emails or is first defined in a contract. They lack the context of the overall project, making it impossible to see how one changed date affects three other dependent tasks.

The structural problem is that these off-the-shelf tools are built for human data entry. They are databases with a nice UI, designed to store information that has already been structured by a person. They have no native capability to read a block of unstructured text, identify the semantic meaning of a 'deliverable,' and convert it into a structured task on their own.

The first step is a workflow audit. Syntora would review samples of your client contracts, emails, and any other relevant documents to map out where deliverables are defined and modified. This audit identifies the key data points to extract, such as task descriptions, deadlines, client contacts, and internal assignees. You receive a data mapping document that serves as the blueprint for the system.

The technical approach uses the Claude API for its advanced reasoning and tool-use capabilities, wrapped in a Python service. When a new document arrives in a designated Google Drive folder or a specific email is received, a webhook triggers an AWS Lambda function. This function sends the document's text to the Claude API with a carefully engineered prompt to extract deliverables as structured JSON. Pydantic models validate this output before it is used to create tasks in your project management tool's API, ensuring data integrity.

The delivered system integrates directly with your existing tools. Deliverables appear as perfectly formatted tasks in your project management software within 5 seconds of an email being received. There is no new interface for your team to learn. The serverless architecture on AWS Lambda typically costs less than $50 per month to operate. You receive the complete source code, a maintenance runbook, and a monitoring dashboard.