
AI Project Development from Folder IT is a service where you define the business problem and Folder IT owns the technical solution: architecture, model selection, integration, and production deployment. Projects are delivered by senior engineers working 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.
Many strong AI initiatives start as a business problem without a technical spec: document processing that consumes hours, a forecasting gap that costs money, a workflow that needs intelligence built in. Folder IT takes that problem and owns the technical side from there, in your environment.
System structure, what runs where, and how it scales.
LLMs, computer vision, forecasting, or a mix, matched to latency, cost, and compliance requirements.
Connection to the systems you already run.
Live in your environment, ready for real users.
A defined business problem and access to the people and data that know it. The technical approach is Folder IT’s part. If the problem itself is still open, AI Solutions Builder starts one step earlier with discovery.
Team size and budget are set after an initial architecture and feasibility pass. This protects both sides: no commitment to a plan that changes once real data shows up, and no underscoping that turns into change orders halfway through the build.
Once the system is live, the same team can stay close for new features, retraining, and scaling as needs change.

You bring the problem. This is what it looks like when Folder IT takes the technical side end to end.
From 5% to 100% call coverage: AI quality assurance for a US bank
A US bank’s contact center could manually review only 1 in 20 calls, leaving 95% of customer conversations unchecked for compliance gaps, coaching opportunities, and potential fraud signals. Manual call quality assurance was costly and difficult to scale, limiting visibility into customer intent, sentiment, and recurring service issues.
Without a connected view of calls, agents, and performance metrics, leaders struggled to identify patterns across teams and prioritize improvements. The bank needed a scalable approach to contact center quality assurance that could expand coverage and turn conversations into actionable insights.
Folder IT designed and built CallGuard, a multi-agent AI platform for banking call quality assurance. It combines Whisper transcription, GPT-4o scoring across 20 QA criteria, and a Neo4j knowledge graph to surface compliance issues, customer intent, sentiment, and performance patterns. NPS and First Call Resolution are derived automatically, with dashboards updated every 15 minutes.
Deployed on Kubernetes with PII masking, PCI-DSS aligned practices, and end-to-end monitoring, CallGuard was handed over with training for the bank’s QA team.
Three senior engineers owned the architecture, the build, the deployment, and the handover.
Tech: GPT-4o, Whisper v3, LangChain, Neo4j, Apache Airflow, FastAPI, Kubernetes, Grafana
AI Project Development is Folder IT designing and building a complete AI system for a business problem you have already identified, through to production deployment. You define the problem and Folder IT defines the technical solution.
In Staff Augmentation, your team owns the architecture and Folder IT supplies engineers. In Project Development, Folder IT owns the architecture and builds the system through to production.
In Project Development the problem is already defined. AI Solutions Builder starts earlier, with discovery, for companies that have not yet defined what to build.
It depends on the scope. Folder IT does not fix a price blind. Team size and budget are set after an initial architecture and feasibility pass shows what the work requires.
No. Team and budget are sized after the architecture pass, which avoids both overcommitting to a plan that changes and underscoping into change orders.
Systems without an off-the-shelf template: document intelligence platforms, computer vision pipelines, forecasting systems, AI agents, retrieval systems over private data, and multi-model architectures, sized to the actual problem.
Your technical lead directs the work day to day. In a Fully Managed AI Team, Folder IT manages the team day to day as an extension of yours, with you setting priorities.
You do, with full documentation. The Folder IT team stays available if there is more to build.
The same team can stay for new features, retraining, and scaling as needs change.
A discovery conversation usually clarifies it quickly. If the problem itself needs defining, AI Solutions Builder is designed for that.
Talk to Folder IT about the right technical approach.
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«Outsourcing is too risky
and unreliable»
«Outsourcing is too risky
and unreliable»