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// stop doing robot work. let actual robots do it.

AI & Automation

Kill the busywork

LLM agents, OCR pipelines, and trained ML models that replace the copy-paste work.
Built on Gemini, GPT-4, and your data — not off-the-shelf demos.

Save Time
Reclaim hours every week
Measurable ROI
Track every improvement
Reliable AI
Tested, proven accuracy
Always On
24/7 automation
TL;DR

Gemini 2.5 Flash and GPT-4 agents grounded in your docs via RAG, plus OCR document extraction and predictive models deployed behind typed APIs. Most automations go live in 2-4 weeks; custom ML projects in 6-8.

// where your week actually goes

Time you're wasting right now

These are the tasks we automate most often

Email & Follow-ups

x
Before:

Manual follow-ups that get forgotten

After:

Automatic sequences triggered by customer actions

Saves time

Appointment Booking

x
Before:

Phone tag and missed calls

After:

Self-service booking with automatic reminders

Reduces scheduling friction

Lead Response

x
Before:

Leads wait hours or days for response

After:

Faster response, 24/7 availability

Faster response

Data Entry

x
Before:

Copy-paste between systems all day

After:

Systems sync automatically in real-time

Eliminates manual data work

// gemini. gpt-4. custom models. the right tool per job.

AI that actually works

LLMs, embeddings, and ML models wired into your stack via REST and webhooks

Conversational Agents

Gemini 2.5 Flash and GPT-4 agents grounded in your docs via vector embeddings — no hallucinated answers

RAG pipeline over your knowledge base
Function calling for booking, quotes, scheduling
Human handoff with full conversation context
Voice and text over WebSocket

Document Extraction

OCR plus LLM parsing pulls line-items, totals, and entities from invoices, contracts, and forms into your systems

Tesseract + vision model OCR
Structured JSON output to your API
Confidence scoring and human review queue
Handles scans, PDFs, and photos

Predictive Models

Churn, demand, and lead-scoring models trained on your historical data and deployed behind an API

Gradient-boosted churn models
Time-series demand forecasting
Lead scoring with feature importance
Retraining pipelines on fresh data

// we play nice with your existing stack

Connects to tools you already use

We build bridges, not walls

SalesforceCRM
HubSpotCRM
ZohoCRM
PipedriveCRM
QuickBooksFinance
XeroFinance
StripePayments
SquarePayments
SlackCommunication
TeamsCommunication
Google WorkspaceProductivity
Microsoft 365Productivity
ShopifyE-commerce
WooCommerceE-commerce
MailchimpMarketing
Custom APIsCustom

Don't see your tool? We can probably connect it.

// how we ship automation

How we implement automation

1

Audit

We map your current workflows and find the time-wasters

2

Build

We automate one process at a time, testing each thoroughly

3

Train

Your team learns the new system with hands-on training

Most automations are live within 2-4 weeks. Complex AI projects take 6-8 weeks.

Results come once systems are live and optimized

FAQ

Frequently Asked Questions

What AI automation actually looks like when it lands in a Fort Lauderdale business.

What kind of AI solutions do you build for businesses?

We build practical AI applications including chatbots for customer service, document processing automation, predictive analytics dashboards, and custom AI models for specific business problems. We focus on ROI-positive applications, not AI for AI's sake.

Can AI really help small businesses in Fort Lauderdale?

Yes. AI tools are now accessible to businesses of all sizes. A local restaurant can use AI for inventory prediction. A law firm can use it for document review. A contractor can use AI chatbots for after-hours lead capture. We right-size solutions to your budget and needs.

How do you integrate AI with existing business systems?

We connect AI solutions to your CRM, ERP, phone system, and databases using APIs and middleware. For example, an AI chatbot can access your inventory, schedule appointments in your calendar, and create leads in your CRM - all automatically.

What's the difference between AI automation and regular automation?

Regular automation follows fixed rules - 'if this, then that.' AI automation learns and adapts. It can handle variations, understand natural language, make predictions based on patterns, and improve over time. AI handles the tasks that are too complex for simple rule-based systems.

How long does it take to implement an AI solution?

Simple AI integrations like chatbots take 2-4 weeks. Custom AI models with training on your data take 8-16 weeks. We always start with a pilot project to prove value before scaling up, so you see results quickly without massive upfront investment.

Proof

Related case studies

AI builds shipped by Ingenious Digital — inbox automation, quant modeling, and generative content pipelines.

Productivity

ZeroInbox

An intelligent email management system using leading AI models for automatic categorization, priority scoring, and response drafting. Integrates with email providers for real-time sync and learns from user feedback to improve accuracy.

AI & Finance

QuantEdge Pro

An advanced options pricing model calibrator implementing stochastic volatility modeling with proprietary numerical methods and custom optimization. Built for high calibration success with sub-millisecond pricing latency.

AI & Creative Tools

Oxide Studio

A cross-platform AI content factory built with Rust/Dioxus that unifies hundreds of AI models through an intuitive Recipe Builder interface. Features chat-based workflow creation and brand training.