Role-Based Access
Control who can interact with AI systems.
Connect AI to the applications, data, and workflows your business already runs on — securely and at scale. We integrate AI directly into the tools your teams use every day, so you can automate repetitive work, surface information faster, and make better decisions — without replacing the systems you've already invested in.
End-to-end integration services to connect AI to your existing systems, data, and workflows.
We assess your systems, workflows, and data to identify realistic, high-value AI opportunities, then deliver a clear roadmap covering architecture, security, and success metrics.
We build the connectors, APIs, middleware, and workflows needed to add intelligent features, automate processes, and improve reporting inside your existing environment — built for production, not just demos.
We connect large language models to your approved data and systems for use cases like internal knowledge assistants, customer support, document summarization, and natural-language search.
We connect AI capabilities (text, image, speech, translation, prediction) to your applications through secure REST, GraphQL, webhook, or middleware integrations.
We build agents that carry out controlled, multi-step tasks — like researching a lead or routing a document — with defined permissions, audit trails, and human approval.
We connect conversational AI to your website, app, CRM, or help desk so it can answer questions, retrieve information, and hand off complex cases to a human.
We connect AI to structured and unstructured data (databases, warehouses, documents) with proper governance, including vector search and real-time processing.
We help you select and integrate the right model — commercial, open-source, private, or fine-tuned — based on accuracy, cost, privacy, and performance needs.
Older systems without modern APIs can still connect to AI through custom connectors, middleware, RPA, or secure database access — extending their useful life.
We integrate AI into workflows that require judgment, not just rules — document classification, request routing, invoice processing, exception handling.
Our Process
Define the business problem, users, systems, and success criteria.
Review applications, APIs, infrastructure, and data quality.
Plan model selection, data flows, permissions, and human-approval points.
Test key assumptions before a larger build.
Build the APIs, connectors, and workflows.
Validate accuracy, security, performance, and escalation paths.
Deploy in phases to limit risk and gather feedback.
Track performance and refine prompts, retrieval, and workflows over time.
Security
Security is designed in from the start. Depending on the use case, this can include role-based access, encryption, secure API authentication, data masking, audit logs, and human-in-the-loop review.
Control who can interact with AI systems.
Industry-standard API credentials.
Complete trace trail of AI actions.
Data encrypted in transit and at rest.
Sensitive data redaction and protection.
Oversight for high-impact decisions.
Control who can interact with AI systems.
Data encrypted in transit and at rest.
Industry-standard API credentials.
Sensitive data redaction and protection.
Complete trace trail of AI actions.
Oversight for high-impact decisions.
Control who can interact with AI systems.
Data encrypted in transit and at rest.
Industry-standard API credentials.
Sensitive data redaction and protection.
Complete trace trail of AI actions.
Oversight for high-impact decisions.
We start with the process you need to improve, not a predetermined tool.
We extend your existing environment rather than pushing unnecessary replacements.
We choose models based on your use case, not popularity.
Access, monitoring, and human oversight scale with risk.
Built with logging, error handling, and scalability in mind.
Start with a focused proof of concept, then monitor and optimize after launch.
Promote transparency, mitigate risk, and enhance quality
FAQ
Connecting AI capabilities to your existing applications, data, and workflows so AI becomes part of an operational process, not a disconnected tool.
Not necessarily. Many AI capabilities can be added through APIs, middleware, or custom interfaces — extending your CRM, ERP, or website without a full rebuild.
Yes, often through custom connectors, middleware, RPA, or secure database access. Some older platforms may need modernization first.
The right choice depends on your objective, data, privacy needs, and budget — commercial, open-source, private, or a combination.
It depends on the number of systems, data readiness, and complexity. After discovery, we provide a project plan with scope and milestones.
Through encryption, authentication, role-based permissions, data masking, audit logs, and approved-source restrictions, tailored to the integration's sensitivity.
We use approved data sources, validation rules, confidence thresholds, and human review — especially for high-impact decisions.
We minimize disruption by developing and testing in sandbox environments, then rolling out in phases.
AI delivers the most value when it works with your systems, data, and people — not as another disconnected tool. LuMay can help you plan, build, and deploy the right integration.