Define the job
Choose one workflow, its inputs and the result your team needs. Set access limits and identify actions that require a person to approve them.
// 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.
Kills Busywork
No more copy-paste between systems
Grounded in Your Docs
RAG over your data, not guesses
No Hallucinations
Answers cite your knowledge base
Always On
Runs 24/7 without a person
TL;DR
Pick the work draining your week. We build Gemini 3.1 Live, Gemini Flash, and GPT-4 agents grounded in your docs via RAG, plus OCR document extraction and predictive models, then wire them into your stack 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
Visible follow-up status
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
Less repeated data entry
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
Voice and text agents grounded in approved information, connected to defined tools and evaluated against real visitor or team tasks
Retrieval from an approved knowledge base
Bounded tools and permission checks
Human review before consequential actions
Voice and text with clear fallback paths
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
CRM, billing, comms, spreadsheets — wired together so they finally talk to each other
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 show up once the systems are live and running
Agent workflows
From a prompt to a reviewable result
The useful part is the completed job: what the agent can access, what it can change and how a person checks the result.
Connect the tools
Connect the relevant APIs, documents and business systems. Give the workflow clear ownership, visible progress and a way to recover from a failed step.
Verify the result
Test representative tasks and failure paths, review the output and document the handoff. Expand the workflow only after the first useful outcome is dependable.
Our internal JarvisMCP work applies this approach to capability discovery, task coordination and guarded tool execution. It is engineering proof from our own operating systems, rather than an attributed client time-saving result.
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
Our own engineering systems: governed agent tooling, search intelligence and an embedded-agent prototype.
Developer Tools
JarvisMCP
A Code Mode MCP gateway that collapses dozens of individual tool servers into exactly two tools. The agent writes JavaScript; a hardened V8 isolate runs it against a unified SDK of 62 services and 558 methods — with no upstream credential ever entering the sandbox.
Sales & Marketing
Overwatch
A full SEO intelligence platform running on our own infrastructure — rank tracking, keyword research, traffic analytics, local-pack heatmaps, Core Web Vitals, backlinks, and competitor visibility — plus an in-product AI agent that reads the data and proposes on-page changes behind an approval gate.
AI & Machine Learning
JarvisNano
An open-source embedded AI project with C/C++ firmware on Seeed XIAO ESP32-S3 Sense and Waveshare AMOLED boards, dynamically loaded Lua skills running on-chip, and hardware-first prototyping to explore how assistants can move beyond the browser. A Kotlin Android app is the optional companion.