Automate HR and Admin Tasks with Custom AI
AI automation can draft job descriptions, screen resumes, and analyze employee time tracking data to flag project risks. Other examples include generating compliance reports from project data and automating new hire equipment provisioning workflows.
Key Takeaways
- AI automation can draft job descriptions, screen resumes, and analyze time tracking data to identify project risks.
- Custom systems integrate directly with tools like HubSpot and QuickBooks, avoiding manual data entry between platforms.
- A typical resume screening system can process 50 resumes against a job description in under 90 seconds.
Syntora designs AI automation for internal HR and administrative tasks in professional services firms. A custom system can unify data from QuickBooks and HubSpot to generate utilization reports in under 5 minutes. The approach uses a FastAPI service and the Claude API to create a central data hub for a 5-50 person firm.
The complexity depends on your existing tools and data structure. A firm using HubSpot and QuickBooks with clean data can automate project reporting in 2 weeks. A firm with custom timesheets in Excel and manual invoicing requires more upfront data mapping.
The Problem
Why Do Professional Services Firms Struggle with Internal HR Automation?
Most small professional services firms run on a fragmented set of tools. They might use Gusto for payroll, QuickBooks for invoicing, and spreadsheets for time tracking. This separation means critical business data lives in silos, making simple questions incredibly difficult to answer.
Consider a 25-person consulting firm needing a utilization report. The operations manager exports a timesheet report from QuickBooks Time, a project list from HubSpot, and an employee roster from Gusto. They then spend 3 hours in Excel with VLOOKUPs, manually matching inconsistent employee names to project codes. The final report is often two days late and contains a 5-10% error rate due to typos and matching errors.
The structural problem is that off-the-shelf HR and finance tools are built for general business, not the project-centric model of professional services. They manage employees, not billable resources. Their APIs are designed for simple point-to-point connections, not for complex, multi-system logic like, "If a consultant logs 10 hours of non-billable time for two consecutive weeks, alert their manager." This requires a central logic layer that these disconnected tools cannot provide.
Our Approach
How Would Syntora Build AI-Powered Internal Operations?
An engagement would start with a data audit of your core systems like QuickBooks, HubSpot, and any project management tools. Syntora maps the key entities (employees, projects, clients, time entries) and identifies the unique identifiers needed to join them. You receive a data flow diagram that shows exactly how information will be unified before any code is written.
The technical approach involves a central FastAPI service running on AWS Lambda to act as the logic hub. This service uses the Claude API to parse unstructured text like resumes or project status notes. For structured information, Python scripts connect directly to the QuickBooks and HubSpot APIs, pulling data into a Supabase database. This creates a clean, queryable source of truth for all internal operations, with data refreshes scheduled to run every 3 hours.
The delivered system exposes simple webhooks or can push reports directly to a Slack channel. For instance, a daily Slack message could list all projects running over budget by more than 15%. You receive the full Python source code, a Supabase schema diagram, and a runbook detailing how to manage the AWS Lambda functions, which typically cost under $50 per month to operate.
| Manual HR & Admin Process | AI-Automated Workflow | |
|---|---|---|
| Time to Generate Utilization Report | 3 hours of manual VLOOKUPs | Under 5 minutes, run on-demand |
| Resume Screening | 10-15 minutes per candidate | 90 seconds to screen 50 candidates |
| Data Accuracy | 5-10% error rate from copy-paste | <1% error rate, direct API sync |
Why It Matters
Key Benefits
One Engineer, Direct Communication
The founder who scopes your project is the engineer who writes the code. No project managers, no communication gaps, no offshore handoffs.
You Own the Code, No Lock-In
You receive the full Python source code in your GitHub repository, plus a runbook. There is no proprietary platform; you can have any developer take it over.
A Realistic 3-Week Build
For a standard project connecting 2-3 common systems like QuickBooks and HubSpot, a production-ready system is typically delivered in a 3-week build cycle.
Clear Post-Launch Support
After an 8-week monitoring period, Syntora offers a flat monthly maintenance plan. This covers bug fixes, monitoring, and API updates. No hidden fees.
Focus on Professional Services Logic
Syntora understands the difference between an employee and a billable resource. The system is architected around project profitability and utilization, not generic HR metrics.
How We Deliver
The Process
Discovery & Data Audit
A 45-minute call to map your current tools and workflows. You'll grant read-only API access, and Syntora returns a data flow diagram and a fixed-price proposal within 3 business days.
Architecture & Scoping
We review the proposed architecture together. You approve the final data model, the specific tasks to be automated, and the integration points before any build work begins.
Build & Weekly Check-ins
You get a weekly 30-minute demo of working software. This allows for real-time feedback to ensure the final system fits perfectly into your team's existing daily habits.
Handoff & Documentation
You receive the complete source code, deployment scripts for AWS, a Supabase schema, and a runbook. Syntora provides hands-on training to your point of contact.
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The Syntora Advantage
Not all AI partners are built the same.
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Assessment phase is often skipped or abbreviated
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We assess your business before we build anything
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Typically built on shared, third-party platforms
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Fully private systems. Your data never leaves your environment
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May require new software purchases or migrations
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Zero disruption to your existing tools and workflows
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Training and ongoing support are usually extra
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Full training included. Your team hits the ground running from day one
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Code and data often stay on the vendor's platform
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You own everything we build. The systems, the data, all of it. No lock-in
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