Using AI to Automate Your Business-Critical Work
We use AI to automate high-volume manual tasks like processing invoices or qualifying inbound sales leads. Our custom systems reduce a 6-minute manual data entry task down to 8 seconds of automated processing.
Key Takeaways
- Syntora uses AI to automate manual tasks like document processing, lead qualification, and customer support triage.
- Custom AI systems are built from scratch to handle your specific business logic and integrate with your existing tools.
- The result is production-grade automation delivered in 2-4 weeks that you own completely.
- A typical document pipeline reduces processing time from 6 minutes per document to under 8 seconds.
Syntora builds custom AI document processing systems that reduce manual data entry for small businesses from 6 minutes to 8 seconds per document. The Python-based system uses the Claude API for data extraction and runs on the client's own AWS infrastructure. Syntora delivers the full source code, ensuring no vendor lock-in.
These are not off-the-shelf products. Syntora builds production-grade Python systems that run on your infrastructure. Typical projects include document processing pipelines using the Claude API, AI agents for customer support triage integrated with your CRM, and internal tools that provide controlled access to language models for your team.
The Problem
Why Does Manual Data Entry Still Plague Small Businesses?
Many 5-50 person businesses rely on manual data entry for core operations. This approach seems cheaper upfront but creates a permanent operational drag. As the business grows, the only solution is to hire more people for repetitive work, which increases payroll and management overhead without solving the underlying inefficiency.
Consider a 20-person distribution company that processes 400 freight invoices per day. Each invoice arrives as a PDF attachment. A junior operations person spends their entire day opening emails, finding the PDF, manually keying 15 fields into NetSuite, and saving the file. This process takes 6 minutes per invoice, consuming over 30 hours of labor per week.
Off-the-shelf OCR software fails here because it cannot handle layout variations between carriers. The software extracts raw text but cannot reliably identify which number is the 'Invoice Total' versus the 'Fuel Surcharge'. This forces the ops person to manually review and correct every single document, defeating the purpose of automation and often taking longer than pure manual entry.
The structural issue is that generic tools are built for common denominators. They cannot embed your company's specific business logic, like cross-referencing a Purchase Order number from the invoice against your internal PO system before approving for payment. This requires custom code and direct integration, which is outside the scope of any subscription software.
Our Approach
How Syntora Builds Custom AI to Automate Your Core Processes
The engagement starts with a technical discovery. Syntora analyzes a batch of at least 100 of your real-world documents to map every data field, format variation, and business rule required for processing. You receive a fixed-price project scope outlining the exact data to be extracted and the target system integration.
The core system would be a Python service running on AWS Lambda, which keeps hosting costs under $20 per month for most workloads. When a document arrives, the service uses an OCR library to get raw text, then sends it to the Claude API with a carefully engineered prompt to extract the data into a structured JSON format. Pydantic models validate the extracted data against your required schema before it is sent to your ERP via a secure API call using httpx.
You receive the full source code in your company's GitHub repository, not a black box. The deliverable includes a runbook detailing how to monitor the system in AWS CloudWatch and how to update the extraction prompt if new document formats appear. The system is designed for your ownership, with no ongoing license fees.
| Manual Invoice Processing | Syntora-Built AI Pipeline |
|---|---|
| 6-7 minutes per document | Under 8 seconds per document |
| 3-5% data entry error rate | Under 0.5% error rate with validation |
| 30+ hours per week of staff time | 2 hours per week of staff oversight |
Why It Matters
Key Benefits
One Engineer, From Call to Code
The person you talk to is the one writing every line of production code. No project managers, no communication gaps.
You Own Everything, Forever
Full source code and a deployment runbook are delivered to your GitHub. There is no platform and no vendor lock-in.
A Production System in 2-4 Weeks
A scoped document pipeline or AI agent is typically built and deployed in under a month, not a quarter.
Predictable Post-Launch Support
Optional flat monthly maintenance covers monitoring, updates, and fixes. No hourly billing or surprise invoices.
Built for Your Business Logic
The system is coded to handle your specific rules, data formats, and integrations, not a generic workflow.
How We Deliver
The Process
Discovery & Scoping
A 30-minute call to understand your process. You provide sample documents or API access, and receive a fixed-price scope document within 48 hours.
Architecture Review
Syntora presents the technical plan, including the choice of tools and integration points. You approve the architecture before any code is written.
Build & Weekly Demos
You get a link to a staging environment in the first week. Syntora provides weekly video updates and demos to show progress and gather feedback.
Handoff & Training
You receive the complete source code, deployment scripts, and a runbook. A 1-hour handoff call walks your team through operating and monitoring the system.
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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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