AI Solutions Builder
AI Solutions Builder
Folder IT defines what to build, then builds it.
AI Solutions Builder from Folder IT is a service for companies that know AI should be part of the answer but have not yet defined the use case. Folder IT runs discovery to define the business problem, then designs and builds the system. Work is delivered by senior engineers nearshore from Argentina in the EST+1 time zone, backed by 220+ engineers (100+ specialized in AI) and 25+ years of delivery for US companies.
“We should be doing something with AI” is a valid place to start. Folder IT turns that into a defined, buildable problem, then takes it through design, proof of concept, and production. No spec is required up front. Defining it is part of the work.
Common starting points
| Area | Typical use |
|---|---|
| RAG and knowledge systems | Retrieval over your own data, with enterprise-grade traceability |
| AI agents and automation | Sales, support, and back-office workflows |
| Document intelligence | Classification, extraction, and validation |
| Computer vision | Inspection, detection, and classification |
| Forecasting and optimization | Demand, pricing, and risk |
through discovery and gets defined and built.
From open problem to working system
01
Discovery
Define the real problem and what success
looks like,
02
Proof of concept
Validate the approach against real data.
03
Production build
Harden and deploy.
04
Ongoing operation
Monitor and improve.
Who defines what
In AI Solutions Builder, Folder IT defines both the business need, together with you through discovery, and the technical solution. Your team contributes the knowledge of the business and access to its data.
How Folder IT turns an open
AI opportunity into a working platform
Starting from an opportunity instead of a spec. This is how Folder IT defines what to build and then builds it.
How Folder IT turns
an open AI opportunity
into a working platform
Starting from an opportunity instead of a spec. This is how Folder IT defines what to build and then builds it.
- 88%recall on scale detection
- 85%recall on north arrow detection
- 9AI modules specified
- 2AI families combined: LLMs and computer vision
The challenge
Avolve Software wanted to automate document-intensive permit and plan review, where architectural and engineering sheets must be classified, read, and checked page by page. The opportunity spanned document classification, data extraction, summarization, counting, and geospatial analysis.
Turning that ambition into a working AI platform required defining which tasks to automate first, which language and computer vision models to trust, and how to process large document volumes reliably. The project also called for clear technical specifications, validation of each module before development, and technical alignment with Microsoft, Esri, and Ultralytics.
What Folder IT built
Folder IT defined a phased roadmap with priorities and effort estimates, wrote technical specifications, and validated each module through a proof of concept. The platform combines LLMs (GPT-4o, GPT-5-mini) for classification, extraction, and summarization with computer vision models (YOLO, RF-DETR, Mask R-CNN, U-Net) for counting and geospatial analysis.
A microservices architecture with asynchronous inference supports high-volume document processing. User feedback, production monitoring, and model retraining support ongoing accuracy improvements. Folder IT also led technical alignment with Microsoft, Esri, and Ultralytics, connecting the implementation to Avolve’s broader technology ecosystem.
Results
88% recall on scale detection and 85% on north arrow detection (about 87% overall) on real plans
A roadmap covering engineering seal detection, blank space verification, object counting, GIS feature extraction, and an AI assistant trained on ICC building codes
Nine AI modules specified and validated through proofs of concept
Tech: GPT-4o, GPT-5-mini, YOLO, RF-DETR, Mask R-CNN, U-Net, Azure OpenAI, .NET, RabbitMQ, MongoDB
Frequently asked questions
What is AI Solutions Builder?
AI Solutions Builder is Folder IT turning an open AI need into a working system. Discovery comes first to define the problem, then Folder IT designs and builds the solution.
Do I need to know what I want built?
No. Arriving with a business problem, or a sense that AI could help, is the expected starting point.
How is this different from AI Project Development?
In Project Development the business problem is already defined and Folder IT owns the technical solution. Solutions Builder starts one step earlier, with discovery to define the problem, and then moves into design and build.
How much does AI staff augmentation cost?
Folder IT clients typically save up to 55-60% compared with US-based hiring. Pricing is transparent, with no hidden fees, and depends on the roles and the size of the team.
How is this different from AI Staff Augmentation?
In Staff Augmentation, your team defines both the need and the technical approach, and Folder IT supplies engineers. In Solutions Builder, Folder IT defines both, with your input.
How long does discovery take?
Typically one to two weeks, depending on how much internal context is available upfront.
What happens after discovery?
You receive a clear, scoped recommendation. It is useful on its own for internal planning, and it is the starting point for the build.
How is the build budgeted?
Team size and budget for the build are set after discovery defines what needs to be built, not before.
What types of AI solutions can Folder IT build?
Common areas include RAG and knowledge systems, AI agents and automation, document intelligence, computer vision, and forecasting and optimization. Use cases outside those areas still go through discovery and get scoped.
What is a proof of concept in this process?
A proof of concept is a working version of the solution validated against your real data, before committing to a full production build.
Know AI is part of the answer but
not sure what to build?
Start with a discovery conversation with Folder IT.
POWERED BY FOLDER, TRUSTED BY US
