Stop Paying Per Task. Own Your AI Workflow.
Custom AI workflow automation for a small business is a fixed-price build. The cost depends on the number of systems integrated and data complexity.
Syntora offers custom AI workflow automation for small businesses, focusing on designing and building technical solutions for document processing and data integration. Syntora's approach involves detailed workflow mapping and leveraging APIs like Claude for efficient data extraction, providing a complete engineering engagement.
Syntora would determine scope by mapping your specific process. A system that reads PDFs and writes to a single database typically requires a 2-week project. An AI agent that interacts with your CRM, ERP, and a third-party API would require a 4-week build. All pricing is a one-time fee for development, with an optional flat monthly maintenance plan.
We have experience building similar document processing pipelines using the Claude API for financial and legal documents. This approach allows us to deliver similar capabilities for other industry-specific documents, focusing on structured data extraction and integration.
What Problem Does This Solve?
Small businesses often hit a wall with generic tools. An internal AI tool built on a platform's app builder might work initially, but it cannot handle production workloads. These tools often have opaque rate limits, and a single API call can take 2-3 seconds, making real-time use impossible. They lack granular error logging, so when a workflow fails, you only know that it broke, not why.
A common scenario is a regional insurance agency trying to automate claims processing. They use a SaaS document AI tool that costs $600/month for 3 adjusters. The tool extracts standard fields but fails on 20% of their custom forms, forcing manual review. It cannot connect to their industry-specific claims management system, so adjusters spend an hour each day copying and pasting data between windows.
This approach fails because it treats a core business process like a generic task. The SaaS tool is a black box you cannot modify, the per-seat pricing penalizes growth, and the lack of deep integration means your team is still stuck with manual work. You are paying a premium for a partial solution that does not solve the last-mile problem.
How Would Syntora Approach This?
Syntora begins an engagement by thoroughly mapping your existing manual workflow. This involves identifying every data source, decision point, and downstream system to be integrated. For document processing, this means auditing how documents are received and what information needs to be extracted for your operational platforms.
The core of such a system would be a Python application built with FastAPI. It would expose a secure API endpoint designed to receive raw documents. We often use httpx to make asynchronous calls to the Claude API for data extraction and then process and validate the API's response. Syntora has extensive experience designing specific prompts for the Claude API to extract precise fields from various document types, achieving high accuracy in similar data extraction tasks for financial and legal clients. Every processing step would be logged with structlog, providing a searchable history of documents.
Syntora would containerize the FastAPI application for deployment on a serverless platform like AWS Lambda. This architecture helps manage infrastructure costs by only incurring charges when the system is actively processing, potentially keeping costs low for typical small business volumes. Processed data would be stored in a Supabase Postgres database, and Syntora would build a simple dashboard within Supabase for reviewing any exceptions.
Finally, Syntora would integrate the extracted, structured data directly into your existing systems. This typically involves webhooks or direct API calls to update records in your operational platforms. Upon completion of the engagement, the full source code would be delivered to your GitHub repository, accompanied by a runbook detailing deployment, monitoring, and operational procedures.
What Are the Key Benefits?
Launch in 2 Weeks, Not 2 Quarters
A focused, scoped build means your system is live in 10-20 business days. We skip the project managers and sales calls to deliver production code faster.
One Fixed Price, Zero Per-Seat Fees
You pay a one-time project fee. No recurring license costs that increase as your team grows. Your monthly cost for hosting is typically under $50.
You Get the Full Source Code
We deliver the complete Python codebase to your private GitHub repository. You own the system outright, with no vendor lock-in.
Alerts When Something Fails
The system includes health checks and structured logging. If an external API fails or data is malformed, you get a Slack alert with the exact error.
Connects Directly to Your Core Tools
We build direct API integrations to your CRM, ERP, and industry-specific platforms. Data flows automatically without manual copy-pasting.
What Does the Process Look Like?
Week 1: Scoping & Access
You provide documentation on your current workflow and grant scoped API access to your systems. We deliver a technical specification document outlining the exact build.
Week 2: Core System Build
The primary AI workflow is built in Python. We deliver a short video demo showing the system processing your sample data and a link to the private API.
Week 3: Integration & Deployment
We connect the system to your software and deploy it to your infrastructure. You receive access to the live system for user acceptance testing.
Post-Launch: Monitoring & Handoff
We provide 30 days of included monitoring and support. You receive the full source code, a technical runbook, and a final walkthrough call.
Frequently Asked Questions
- How is the fixed price for a project determined?
- Pricing is based on two factors: integration points and logic complexity. A workflow connecting two well-documented APIs is straightforward. A system that needs to connect to five systems, including a legacy database, requires more time. The complexity of the AI logic, such as single-step data extraction versus a multi-step AI agent, also affects the final scope. Every project receives a detailed, fixed-price quote before any work begins.
- What happens if the Claude API is down or the system breaks?
- For transient API errors, the system has built-in retry logic with exponential backoff. If an API is fully down, the task is placed in a queue to be re-processed later, and an alert is sent. For a system outage, the health checks will trigger an immediate alert. The optional monthly maintenance plan covers all incident response, typically with a fix deployed in under 2 hours.
- How is this different from hiring a freelancer on Upwork?
- A freelancer typically delivers a script. Syntora delivers a production system. That means the code is containerized, deployed on scalable infrastructure like AWS Lambda, and includes structured logging, health checks, and alerting from day one. You receive a complete runbook and own a business asset, not just a piece of code that runs on a developer's laptop. The person on the discovery call is the engineer who builds it.
- Do I pay for the Claude API calls separately?
- Yes. You connect your own Claude (or other AI provider) account, so you pay for API usage directly at cost. This avoids any markup. For a typical document processing workflow handling 3,000 documents a month, the Claude API cost is usually less than $100. This is significantly cheaper than the per-seat license fees of most SaaS products that bundle API costs in.
- What if my business process changes after the build?
- Because you own the source code, you have full control. You can have any Python developer modify the workflow. If you do not have a developer, Syntora can make changes via a new, small fixed-price engagement. This is a key advantage over SaaS tools where you are completely dependent on the vendor's product roadmap for any changes you need.
- What kind of access do you need to our systems?
- We operate on the principle of least privilege. For most integrations, we use a dedicated service account with tightly scoped permissions (e.g., read-only access to a specific database table or write access to only three fields in a CRM object). We will never ask for full administrator credentials. All access keys and sensitive credentials are encrypted and managed securely.
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