Detroit, Michigan / production AI software, secure automation, and cloud architecture
Agentic AI systems for organizations that need more than a demo.
National Intel designs secure AI agents, custom software, automation systems, and cloud architecture for Detroit, Michigan, and national leaders who need production outcomes: measurable, auditable, elegant, and resilient.
From useful idea to governed AI system.
A production agentic workflow needs a disciplined path: select the right problem, design the software and controls around it, test it against real work, then deploy it with visibility and ownership.
Find the highest-value use case
Map workflows, users, data sources, decision points, and the business cost of delay before anything is built.
Design the operating architecture
Specify identity, permissions, retrieval, tool access, APIs, model routing, cloud services, and human escalation together.
Pilot against real work
Test with approved data, representative users, measurable quality criteria, and review burden signals.
Deploy with governance
Release with monitoring, audit trails, access control, fallback paths, versioning, and improvement rhythms.
Built like a technical command center.
The work is not just prompt engineering. It is software architecture, workflow design, data governance, UX, security, integration, and enough restraint to ship systems people can actually trust.
Agentic workflows
Multi-step AI systems that retrieve information, call approved tools, draft outputs, route tasks, escalate decisions, and keep humans accountable.
Custom software
Portals, dashboards, internal tools, document systems, reporting layers, and executive interfaces designed for clarity under pressure.
Integration fabric
Connect CRMs, ERPs, data stores, cloud services, messaging platforms, payment systems, internal APIs, and trusted repositories.
Security by design
Role-based access, least privilege, encryption patterns, environment separation, audit trails, and policy-aware data boundaries.
Automation systems
Intake, triage, reporting, approvals, knowledge search, case preparation, service workflows, and repetitive back-office execution.
Cloud architecture
Deployment plans, data pipelines, model gateways, observability, backups, reliability planning, and vendor-aware infrastructure choices.
An operating model for AI that can survive production.
Every engagement turns ambiguity into a concrete system plan: what the agent can access, what it can do, when humans review, and how results are measured.
System ingredients include agent orchestration, retrieval, memory, workflow automation, data pipelines, dashboards, human review, and secure deployment.
System ingredients
LLM agents
RAG and trusted retrieval
Tool use and API permissions
Dashboards and review queues
Audit logs and observability
SSO planning and access control
Model evaluation and versioning
Elegant software, serious controls.
Beautiful interfaces matter because people use them. Strong controls matter because organizations depend on them. National Intel treats both as core architecture.
Healthcare
HIPAA-aware workflow design, intake support, documentation acceleration, analytics, patient communication, and controlled access to sensitive data.
Government
Case workflows, citizen service automation, reporting, procurement support, records modernization, and accountability-focused AI assistance.
Finance
Approval workflows, reconciliation support, reporting automation, audit-friendly data handling, and decision support for high-control environments.
Manufacturing
Operations dashboards, maintenance intelligence, supply-chain visibility, quality workflows, and human-in-the-loop process improvement.
Enterprise
Cross-system automation, internal knowledge search, executive reporting, secure integrations, and custom platforms for repeated work at scale.
Build the AI system your organization will still trust after the demo.
Bring National Intel a workflow, a bottleneck, a strategic initiative, or a messy software environment. We will help identify the cleanest first move, the risk profile, and the path from prototype to production.
National Intel is not Intel Corporation. Compliance references describe architecture-aware planning considerations; specific regulatory outcomes depend on scope, implementation, audit requirements, and applicable authorities.
Engagements
Assessment, discovery sprint, pilot, production build.
Primary region
Detroit, Michigan, with national organizations supported remotely.
Focus
AI software, automation, cloud architecture, governance.