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Artificial Intelligence & Automation Sector

Automated Data Pipelines & LLM Agents

Integrate custom LLM assistants, automate CRM lead categorization, and deploy text parser pipelines.

Automating Repetitive Tasks

Resolving Sector Performance Gaps

Manual data sorting and slow support ticket logs reduce team productivity. Infonaya builds AI pipelines that handle manual sorting on autopilot.

Infonaya works close to client operations to analyze database flow, identify duplicate process logs, and design high-speed web services that resolve administrative blockages.

Industry Blockers

Manual data replication across legacy spreadsheets and disconnected billing registers introduces key security holes and human entry errors.

How We Scale Artificial Intelligence & Automation

A step-by-step technological deployment plan to optimize your organization's digital reach.

01

Phase 01 Setup

Document parsing pipeline extracting data from PDFs automatically.

02

Phase 02 Setup

Alpine-based client chatbots connected to LLM APIs with fallback loops.

03

Phase 03 Setup

Auto lead categorization script sorting inbound queries by value.

Bespoke Software Modules

Pre-built, customizable software layouts configured directly around Artificial Intelligence & Automation logic.

AI Lead Dispatcher

Automatically score and route inquiry leads to sales teams.

Infonaya PDF Parser

OCR-based document extractor pulling billing totals and names.

Dynamic Chatbot Hook

Webhook connecting client chats with customized AI instructions.

Engineered Infrastructure Stack

OpenAI / Gemini SDKs
Python Text Extractors
Redis Task Queues
Node.js Workers

Projected Impact Metrics

Business Return

75% reduction in manual data entry.

Business Return

Instant customer support replies.

Business Return

40% higher lead follow-up speeds.

Request A Call with Infonaya Architects

Describe your company scale and integration parameters. Our consulting engineer will prepare a proposal sketch.

Frequently Asked Questions

Yes, it tracks thread identifiers in session databases, maintaining context during user interactions.
Our system has an automated fallback route that routes the chat to an active customer support agent.
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