Get AI Business Processes Live Before an Internal Team Is Hired
Hiring an AI agency provides expert-built systems in weeks without the cost of a full-time engineer. You get a production-grade process immediately, avoiding internal learning curves and development delays.
Syntora helps brokerage firms automate complex document processing and operational workflows using AI. We design and build custom systems that leverage services like the Claude API for data extraction, integrating with existing cloud infrastructure to deliver production-ready code.
This approach is for businesses needing one or two critical AI systems, not a full-time engineering department. It focuses on delivering a specific, high-return process quickly. The goal is to solve an immediate operational bottleneck without the overhead of hiring, managing, and retaining technical talent.
Syntora has deep experience building document processing pipelines using the Claude API for complex data extraction and categorization in adjacent domains, such as financial services. This same technical pattern directly applies to streamlining operations for businesses in the brokerage industry, like automating the review of client applications or policy documents. A typical engagement for such a system would involve 6-10 weeks of development, requiring client input on specific document types and process rules. The deliverable is a fully functional, custom-built system designed to your exact specifications.
What Problem Does This Solve?
Many businesses first try to build automation internally. The most common approach is assigning the project to a 'tech-savvy' employee who knows some Python. They build a script that runs on their laptop, but they don't know how to deploy it as a reliable service, handle API key security, or implement proper error logging. The script fails silently when an API changes, and no one notices for days.
Another path is hiring a generalist developer from a freelancing platform. They might deliver a working script, but the code is often undocumented, uses an inconsistent mix of libraries, and lacks tests. When the freelancer moves on, the business is left with a black box system that no one understands. It becomes a technical liability that cannot be updated or fixed.
Consider a regional insurance agency with 6 adjusters. They tasked an operations manager with automating claim intake from emails. His Python script worked for three weeks, then broke when a partner changed their email attachment format. The script failed without alerts, and the agency lost 48 hours of claim submissions before manually discovering the issue.
How Would Syntora Approach This?
Syntora would begin by thoroughly mapping your existing business process, with a clear definition of success tied to measurable outcomes, such as reducing the time spent processing a specific type of claim. We would design the system to integrate with your current cloud infrastructure, utilizing services like AWS Lambda for serverless operations and Supabase for a simple Postgres database to log all transactions. This design ensures your data remains securely within your operational environment.
The core logic would be developed in Python, using FastAPI to create a clean, testable API. All interactions with external services, including the Claude API for data extraction, would use httpx, incorporating automatic retries for any transient network issues. For auditable operations, we would implement structlog for structured JSON logging, recording every step of the process. API keys and other sensitive information would be securely managed in AWS Secrets Manager, never hardcoded.
For a system processing a typical volume of documents, cloud infrastructure costs would generally be modest, often under $50/month for compute and database resources. The completed application would be packaged and deployed from your private GitHub repository, using a standard CI/CD pipeline to ensure efficient and auditable updates. The final deliverables would include fully documented, production-ready code that you own entirely, along with handover documentation and guidance for ongoing operation.
What Are the Key Benefits?
Live in 2-4 Weeks, Not 3-6 Months
Avoid the lengthy process of hiring and onboarding an engineer. We deliver a working, deployed system in under a month.
One Fixed Price, Not a Full-Time Salary
You pay a single, fixed price for a completed project, not a six-figure salary for an engineer you may not need full-time.
Your Code, Your Cloud, Your Control
You receive the full Python source code in your GitHub. The system runs on your AWS account. There is no vendor lock-in.
Alerts When It Breaks, Not When You Notice
We configure CloudWatch alarms to send a Slack alert if the system's error rate exceeds 1% for more than 5 minutes.
Connects Natively to Your Core Systems
We build direct API integrations to your CRM and ERP. No fragile screen-scraping or manual data transfers, just reliable data flow.
What Does the Process Look Like?
Discovery and Scoping (Week 1)
You provide read-only access to current tools and walk us through the manual process. We deliver a technical specification document detailing the build plan.
Core System Build (Weeks 1-2)
We write the production code in a shared GitHub repository and set up the cloud infrastructure. You can view progress and commits in real time.
Integration and Testing (Week 3)
We connect the new system to your live tools for end-to-end testing. You verify the workflow with real data and provide final feedback.
Launch and Handoff (Week 4)
We go live. For one month, we monitor performance daily. At the end, you receive a runbook detailing how to operate the system.
Frequently Asked Questions
- How is a project scoped and priced?
- Pricing is a fixed fee based on scope. The main factors are the number of systems we need to integrate (e.g., connecting to a CRM and an ERP is more complex than a single API call), the complexity of the business logic, and the volume of data to be processed. We provide a fixed price quote after our initial discovery call, so there are no surprises.
- What happens if an external API like Claude's is down?
- The system is built for resilience. We use httpx for automatic retries with exponential backoff on transient errors. For total outages, the AWS Lambda function will fail and place the job in a dead-letter queue. You receive a Slack alert, and once the external API is restored, we can re-process all the failed jobs from the queue with one command.
- Why not just hire a senior engineer on contract?
- A generalist contractor needs time to learn the specifics of AI automation and your business process. Syntora has built these exact systems before, which eliminates the research phase and reduces risk. We deploy proven architectural patterns from day one, delivering a production-ready system faster than a contractor starting from scratch could.
- How do you handle our sensitive data and API keys?
- We operate with a zero-trust model. The entire system is built and deployed within your company's AWS account. We use AWS Secrets Manager to handle all credentials, so API keys are never stored in code. Syntora never stores or has access to your business data on our own systems. All work is done within your secure cloud environment.
- What does the optional monthly maintenance plan cover?
- The flat monthly plan covers proactive monitoring, security patches for Python library dependencies, and minor bug fixes. It also includes 2 hours of support for small adjustments or questions. It does not cover new feature development, which would be scoped as a new fixed-price project. The plan ensures your system remains secure and operational long-term.
- Who actually writes the code for my project?
- The founder. The same person you speak with on the discovery call writes every line of production code. There is no sales team, no project managers, and no outsourced development. This direct model ensures perfect communication, full accountability, and deep technical ownership from the initial conversation to the final handoff.
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