We connect AI document processing, knowledge search and operational workflows to your existing product, with quality checks, exception handling and human review.
When an AI experiment needs to become a working product feature.
01You need structured data from documents or free text.
02You need search and answers grounded in your business information.
03Your workflow spans several steps, systems and human approvals.
Project scope
Define delivery and acceptance
from the start.
We start with the use case, shareable examples, acceptable error levels and existing system connections.
Project package
AI Workflow Development
An integrated document, knowledge-search or operational workflow.
Deliverables
Model connection and application integration
Extraction, validation and human review where needed
Evaluation samples and quality checks
Failure handling, cost visibility and operational notes
How do we accept the work?
Quality is evaluated against an agreed sample set. Access, exceptions, human review, latency and model cost are observable.
Scope, responsibilities, price and schedule are clarified in a written proposal after the initial conversation.
Technical approach
Tools that fit
your current system.
We choose technology based on requirements, the existing architecture and operating conditions. Changes are scoped alongside the deliverables.
LLM APIs
FastAPI
Model routing
RAG
Workflow orchestration
Evaluation
Related client engagement
BeaconFSA
ML/LLM-assisted document verification and an end-to-end loan origination platform, with technical ownership from development through production operations.