AI That Works
Inside Your Business.
Not demos, not experiments. Production-ready AI integrations and workflow automation that reduce manual effort, surface actionable intelligence, and connect the systems your team already uses. Built by engineers who understand your business, not just the models.
Start the ConversationAI that earns its place in your operations.
Most businesses have more manual, repetitive work than they can address with their current team. Documents that need to be read and routed. Data that needs to be extracted and entered. Decisions that follow predictable patterns but require someone to execute them. AI can handle all of this, reliably, at scale, and without fatigue.
The value is not in the technology itself. It is in identifying the right problems to solve, building automation that integrates cleanly with your existing systems, and measuring the actual reduction in manual effort and error rate. Lanovix approaches AI the same way we approach every engineering problem: start with the business outcome and work backward to the technology.
The right question is not whether to use AI. It is where AI actually helps.
Some processes are perfect candidates for AI automation. Others look like candidates but are better served by traditional automation or a process change. We assess both honestly before recommending anything.
Our AI work is built on top of real engineering fundamentals: proper API design, error handling, audit trails, security controls, and integration with your existing systems. The AI is a component, not the whole solution.
AI and automation services built for production.
Every engagement is led by a principal engineer matched to your business and technology environment. The person who designs your automation is the person building and supporting it.
AI Agent Development
Custom AI agents built using large language models that can reason, plan, and take action across your systems. Agents that read documents, make decisions, trigger workflows, and communicate results to the right people.
Document Intelligence
AI-powered document processing using Azure AI Document Intelligence. Extract structured data from invoices, contracts, insurance policies, inspection reports, and other documents without manual review or data entry.
Workflow Automation
Automated end-to-end business workflows that eliminate manual handoffs, reduce errors, and free your team from repetitive tasks. Triggered by events, schedules, or user actions and integrated with your existing systems.
LLM Integration & RAG Systems
Large language model integration with your internal data using retrieval-augmented generation. Give your team a natural language interface to your knowledge base, documentation, policies, and operational data.
MCP Server Development
Custom Model Context Protocol servers that give AI models structured, secure access to your internal tools, databases, and APIs. The foundation for AI agents that can operate reliably within your existing systems.
AI-Powered Reporting & Analytics
Intelligent reporting systems that go beyond dashboards. Natural language querying of your data, automated insight generation, anomaly detection, and AI-generated summaries that surface what actually matters.
What AI automation looks like in practice.
These are examples of the kinds of automation we have built or can build. Every engagement starts with your specific workflows and works outward from there.
Insurance Policy Gap Analysis
AI workflow that analyzes client insurance policies, identifies coverage gaps against comparable profiles, and automatically generates gap analysis presentations with specific recommendations.
Document Extraction & Processing
Automated extraction of structured data from financial documents, contracts, and statements. Eliminates manual review and data entry for high-volume document workflows.
Quality & Inspection Automation
AI-assisted inspection workflows that process test results, flag anomalies, route exceptions for human review, and automatically update quality records in the ERP.
Intelligent Dispatch & Routing
Automated dispatch systems that assign resources based on location, availability, skill set, and priority. Reduces scheduling overhead and improves response times.
Contract Review & Extraction
LLM-powered contract analysis that extracts key terms, flags non-standard clauses, and summarizes obligations. Dramatically reduces the time attorneys spend on initial document review.
Internal Knowledge Base Assistant
A conversational AI interface trained on your internal documentation, policies, and procedures. Gives your team instant, accurate answers without digging through shared drives or wikis.
Where AI delivers and where it does not.
The AI landscape is full of vendors who want to sell you on a platform, a model, or a monthly subscription before they understand your business. We take a different approach. Before recommending any AI solution, we map your workflows, understand where your team actually spends manual effort, and make an honest assessment of whether AI is the right answer. Sometimes it is. Sometimes a better integration, a cleaner process, or simple automation does the job more reliably at a fraction of the cost. Our job is to give you the right answer, not the most exciting one.
Our philosophy on AI in production systems
Every AI component we build is surrounded by proper engineering: error handling, audit logging, fallback paths, human review triggers, and monitoring. AI models can hallucinate, produce unexpected outputs, and behave differently than expected on edge cases.
We design our systems to catch these situations gracefully rather than propagate errors silently through your business. The AI is a component in a well-engineered system, not the system itself.
We also build in the observability you need to measure whether the automation is actually working. If it is not delivering measurable value, you will know before it becomes a problem.
High-volume, pattern-based tasks
Document extraction, classification, routing, and summarization at scale. Tasks your team does repeatedly with predictable inputs and outputs. AI handles volume without fatigue or error accumulation.
Decision support and intelligence surfacing
Flagging anomalies, surfacing relevant context, and generating recommendations that a human then acts on. AI in the loop, augmenting judgment rather than replacing it. Particularly effective where the cost of a missed signal is high.
Broken or undefined processes
AI does not fix bad processes, it automates them faster. If the underlying workflow is unclear, inconsistent, or undocumented, we fix that first. Automating chaos produces automated chaos, and it is expensive to unwind.
Problems better solved another way
Some problems are more reliably and cheaply solved with traditional automation, a system integration, or a process redesign. We recommend AI when it is the right tool, not because it is the current trend or because it is what you asked for.
From opportunity identification to production deployment.
Identify the Right Opportunities
We start by mapping your workflows and identifying where automation will have the highest impact relative to the effort required. Not every process is a good candidate, and we tell you which ones are and which ones are not before you spend anything.
Design the Solution Architecture
We design the full solution: which AI models or services to use, how the workflow is structured, what integrations are required, where human review is needed, and how errors are handled. The architecture is documented before any code is written.
Build and Validate
We build the automation with real data and validate output quality against your acceptance criteria. AI systems require testing with representative inputs, edge cases, and failure scenarios before they go near production.
Deploy and Measure
Staged deployment with monitoring, alerting, and measurable success criteria. We track the actual reduction in manual effort, error rate, and processing time so you have evidence of ROI, not just a running system.
AI built by engineers, not prompt engineers.
We build AI into real production systems
Our AI work is integrated with your ERP, CRM, databases, and APIs. It runs in your cloud environment with proper security, logging, and error handling. Not a standalone demo that lives separately from your operations.
We have shipped AI in regulated industries
Healthcare, financial services, and insurance AI applications with HIPAA and SOC 2 controls built into the data handling and audit trail from the start. Compliance is not an afterthought.
We tell you when AI is not the answer
If your process needs a better integration, a cleaner data model, or a workflow change rather than AI, we will tell you that before you spend money on the wrong solution.
We measure what we build
Every automation we deploy has defined success metrics. We track them, report on them, and adjust the system if it is not delivering the expected value. AI without measurement is just cost.
Common reasons clients come to us for AI work
- Their team spends hours each week manually processing documents that follow predictable patterns
- They want to surface insights from data they are collecting but not effectively using
- They need to scale operations without proportionally scaling headcount
- They have tried an AI tool or platform and it did not integrate with their systems
- They want a natural language interface to their internal knowledge and documentation
- They are building a product that needs AI as a core feature, not an add-on
- They have been told to add AI to their business and want an honest assessment of where it actually makes sense
Ready to find out where AI actually makes sense for your business?
Start with a conversation about your workflows and where your team spends the most time on manual, repetitive work. We will give you an honest assessment of what automation can and cannot do for your specific situation.
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