Automate New Hire Onboarding from Offer to First Day
AI workflow automation centralizes new hire data from your ATS into one system. It then provisions accounts and schedules training based on role and department.
Syntora designs AI workflow automation solutions to streamline new hire onboarding for consultancies and service firms. These systems leverage technical architectures involving FastAPI and Claude API to centralize data, automate account provisioning, and schedule training efficiently. Syntora provides the engineering expertise to build and deliver these custom solutions.
This process is ideal for small businesses onboarding more than two people a month into roles with different IT needs. A company hiring only sales reps into a standard software stack has simpler needs than one hiring across engineering, marketing, and operations, each requiring unique tool access and training schedules.
The scope of such an engagement, including the complexity of integrations and the number of unique roles to automate, directly influences the build timeline and client resource requirements. Typical build timelines for this complexity range from 6 to 12 weeks, with client involvement needed for defining role-specific access rules and providing API credentials.
What Problem Does This Solve?
Most small businesses track onboarding with checklists in their HRIS, like Gusto or BambooHR. These tools are great for tracking paperwork but cannot perform actions. They remind a person to create a Google Workspace account or add someone to Slack, but a human still has to do the work, leading to missed steps and inconsistent experiences.
A common next step is using a trigger-action automation tool to connect the ATS to Slack. This works for a single notification. But onboarding is a complex workflow, not a single trigger. An engineer needs GitHub and AWS access; a designer needs a Figma license. This branching logic creates multiple, separate workflows that become brittle and expensive as task counts multiply. A manager change requires updating five different places.
These tools fail because they are fundamentally stateless. They cannot easily manage a multi-day process with dependencies, like waiting for a Google account to be created before provisioning other tools. Trying to build a stateful, multi-system process with a stateless tool results in silent failures, expensive overages, and a system no one trusts.
How Would Syntora Approach This?
Syntora's approach would begin by establishing a central data model for each new hire, typically in a Supabase Postgres database. This database would serve as the single source of truth, designed to be triggered by a webhook from your existing ATS (such as Greenhouse or Lever) when a candidate is marked as "Hired." This foundational step helps eliminate fragmented tracking methods like scattered email threads and spreadsheets.
Syntora would develop the core orchestration logic as a Python service using the FastAPI framework. When the ATS webhook delivers new hire information to the system's endpoint, the Claude API would be utilized to parse job titles and offer letter details. This allows for automated classification of the new hire's role and department, which then determines the appropriate onboarding track to initiate without requiring complex, manually maintained business rules. We have experience building document processing pipelines using Claude API (for financial documents) and the same pattern applies effectively to onboarding documents in this context.
The developed service would then manage account provisioning through a sequence of direct API calls. Leveraging libraries like google-api-python-client, it would create Google Workspace accounts and subsequently use that new identity to provision access to other platforms, such as adding the user to specific channels in Slack, granting GitHub access, and integrating with any other required internal systems. This sequence would include robust retry logic for each step to ensure reliability.
Following successful account provisioning, the workflow would proceed to schedule the new hire's initial training. This often involves using the Google Calendar API to pull from a defined template, mapping roles to standard introductory meetings and role-specific sessions. The system would then send a final confirmation to the hiring manager, typically via Slack. The entire infrastructure would be engineered for efficiency and scalability, often deployed on serverless platforms like AWS Lambda to manage operational costs effectively. A typical build of this complexity would result in a delivered, deployable system, requiring client hosting and ongoing maintenance.
What Are the Key Benefits?
First Hire Onboarded in 10 Business Days
From our initial system mapping call to your first fully automated hire, the entire build and deployment process takes two weeks.
No Per-Employee Subscription Fees
This is a one-time build project. After launch, you only pay for minimal cloud hosting, not a recurring per-seat or per-hire SaaS license.
You Get the Full Python Source Code
We deliver the complete codebase in your private GitHub repository. You have full ownership to modify or extend it in the future.
Real-Time Status Dashboard in Supabase
See the status of every onboarding task for every new hire in a clean interface. No more guessing if IT has created an account.
Connects Directly to Your ATS and HRIS
The system integrates via API with platforms like Greenhouse, Lever, and BambooHR to act as the engine for your existing tools.
What Does the Process Look Like?
System Mapping (Week 1)
You grant API access to your systems and walk us through your current process. We deliver a detailed process flow diagram and a data schema for approval.
Core Engine Build (Week 1)
We build the FastAPI application and state machine logic. You receive access to a private GitHub repository to review the code as it's written.
Integration and Testing (Week 2)
We connect the engine to your staging environments. You receive a sandboxed version of the workflow to run end-to-end tests with a dummy hire.
Deployment and Handoff (Week 3+)
We deploy the system to production on AWS Lambda. You receive a runbook covering monitoring, error handling, and how to update onboarding logic.
Frequently Asked Questions
- What affects the cost and timeline of an onboarding automation project?
- The main factors are the number of systems to integrate and the complexity of your role-based logic. Integrating five tools is faster than integrating ten. A single onboarding track is simpler than twelve different tracks for twelve departments. A standard build takes two weeks; more complex systems can take four. We provide a fixed quote after our discovery call.
- What happens if an API call fails, like if Slack is down?
- Each step is logged and designed for failure. If an API call fails, the Python script retries 3 times with exponential backoff. If it still fails, it logs the specific error, sends an alert to a designated Slack channel, and pauses that hire's workflow. This prevents the entire system from stopping and allows you to manually retry the single failed step later.
- How is this different from my HRIS onboarding module?
- HRIS modules, like in BambooHR or Gusto, are excellent for checklists and document signing. They remind humans to do tasks. Our system performs the tasks. It creates accounts, grants permissions, and schedules meetings by calling the APIs of your other tools directly. It replaces the manual IT and administrative work that checklists only track.
- Can this system handle offboarding employees too?
- Yes. The same state machine logic can be triggered when an employee's status in your HRIS changes to 'Terminated'. It can revoke access to Google, Slack, GitHub, and other systems in a secure, predefined sequence. We can scope an offboarding module as part of the initial build or as a later addition to the system.
- How do we update the process if our onboarding changes?
- The core business logic is stored in configuration files, not hardcoded in Python. If you need to add a new Slack channel for engineers or change a training meeting, you can update a designated Google Sheet or a JSON file. The system reads from these configs on each run. Your handoff documentation includes clear instructions for making these common changes.
- What kind of access and permissions does Syntora need?
- For the build, we need temporary, admin-level API keys for each system we integrate with. We use a shared 1Password vault for secure credential management. All of our access is revoked upon project completion and handoff. The final production system runs using dedicated service accounts that you create, own, and control entirely.
Ready to Automate Your Professional Services Operations?
Book a call to discuss how we can implement ai automation for your professional services business.
Book a Call