Done-For-You Fractional AI Engineering

Most companies manage internal operations using the built-in features of their HRIS or an IT ticketing system like Jira Service Desk. These tools are great for logging requests and assigning tasks to people. Their limitation is an inability to execute tasks that involve unstructured data or logic spanning multiple systems. A Jira workflow can assign a ticket for new-hire-setup, but it cannot read the attached offer letter to determine the employee's department and provision the correct AWS IAM roles.

To bridge this gap, teams turn to checklist tools like Process Street. These platforms document the steps a human should take, but they cannot perform the steps themselves. An onboarding checklist can remind an IT admin to create a GitHub account, but the admin must still navigate to GitHub, type in the details, and assign the right repository permissions. Each step is a point of failure, prone to typos, delays, and security risks from over-provisioned access.

Consider a 40-person company onboarding a new engineer. HR, IT, and the hiring manager coordinate through email and a shared document. The IT admin spends 90 minutes manually creating accounts in Google Workspace, Slack, AWS, and the company's proprietary systems. If that admin is on vacation, the new hire waits a day to get access to code. The process is slow, error-prone, and completely dependent on a specific person's availability.

The structural problem is that these off-the-shelf tools are designed to manage human work, not replace it. They provide forms and notifications, but they lack the custom code execution environment needed to call external APIs, parse documents, and apply business-specific logic. They manage the workflow's state, but the actual work remains manual.

The first step is a process audit. Syntora would map one of your high-friction internal workflows, like employee onboarding or vendor contract processing. We would document every manual step, every system involved, and every decision point. This audit produces a clear technical plan, showing which parts of the process can be fully automated and which still require a human checkpoint.

An effective technical approach uses a central FastAPI service as a workflow orchestrator. When an event occurs, like an HRIS marking a candidate as "Hired," a webhook triggers the service. The service uses the Claude API to parse related documents, such as an offer letter PDF, to extract key details like role and start date. It then uses libraries like `boto3` for AWS or specific SaaS APIs to provision accounts, grant permissions, and send notifications in parallel. Async requests with `httpx` ensure the entire workflow completes in under 120 seconds.

The delivered system is a set of Python services running on AWS Lambda that you control. Your team interacts with it through the tools they already use; the automation runs in the background. You receive the complete source code in your GitHub repository, a runbook explaining how the system works, and a monitoring dashboard on Vercel to track every execution. There is no new platform for your team to learn.