AI Automation for Internal HR and Administrative Tasks

Many professional services firms use an HRIS like Gusto or Rippling for payroll and benefits. These platforms have onboarding checklists, but their workflows are rigid. They cannot auto-generate a client-specific Non-Disclosure Agreement for a new consultant or create a project folder structure based on their first assignment. The process remains a series of manual steps outside the system.

For expense management, a tool like Expensify is common. It scans receipts effectively but fails at enforcing project-specific policies. Consider a 20-person consulting firm where travel expenses must be coded to a specific HubSpot deal ID. Expensify's rules are company-wide. An office manager must still manually cross-reference every expense report against HubSpot, which takes 15-20 minutes per report and introduces human error.

Internal knowledge is often stored in a wiki like Notion or Confluence. When an employee needs to know the per diem for a specific client site, they rarely search the wiki. Instead, they ask the office manager in Slack, who then finds the link and pastes it. The wiki's keyword search is not smart enough to understand context, leading to repetitive questions that interrupt deep work. Over a week, this amounts to hours of lost productivity for both the employee and the manager.

The structural problem is that these are all separate, domain-specific tools. The HRIS, the accounting software, and the knowledge base do not communicate at a process level. Integrations pass basic data, like a new employee's name, but they cannot orchestrate a multi-step, conditional workflow that spans all three systems. This forces a human to act as the expensive, error-prone glue between them.

The first step is a process audit. Syntora would map every step of your key internal workflows, like employee onboarding or project setup. We would review your document templates, identify the systems that need to communicate, and define the business logic for each stage. You receive a detailed workflow diagram and a technical specification before any code is written.

The core of the system would be a Python service built with FastAPI, acting as a central orchestrator. For document generation, the system would use the Claude API to intelligently populate contracts, SOWs, or NDAs from a template, a pattern we've used successfully for complex financial documents. It would connect to your other tools like HubSpot or QuickBooks via their APIs to create user accounts, projects, and records, ensuring data consistency.

The delivered system provides a simple interface for your administrative staff to trigger complex workflows with a single click. It would be deployed on AWS Lambda, keeping hosting costs low, often under $50 per month. You receive the complete source code, a runbook for maintenance, and a dashboard to track the status of every automated process. The system fits into your existing toolchain without requiring new software for your team to learn.