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For regulated operators & complex workflows

Enterprise AI SystemsBuilt for Real Operations

Secure, governed, production-ready AI infrastructure — designed for the constraints and complexity of operational businesses.

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The Hard Truth

AI Is Easy.Operational Reality Is Not.

The challenge isn't building AI. It's building AI that works within your existing constraints — and actually delivers business value.

Legacy systems that can't be replaced overnight
Compliance constraints that limit what's possible
Cross-team workflows with competing priorities
Fragmented data across dozens of sources
Security and audit requirements that can't be ignored
Capabilities

What We Build

Enterprise-grade systems that integrate AI where it matters — without the hype, without the risk.

AI-enabled workflow engines

Process automation with intelligence embedded at decision points — not bolted on after.

Internal operational portals

Multi-tenant apps for teams, partners, and customers — with roles, audit trails, and real-time data.

Intelligent document processing

Extraction, classification, and routing that actually works with your messy real-world documents.

Secure multi-tenant architectures

Row-level security, tenant isolation, and compliance-ready infrastructure from day one.

Governance & monitoring layers

Observability, guardrails, and audit logging built into every AI interaction.

Architecture

Systems Thinking, Not Feature Lists

Every layer has a purpose. Every connection is intentional. We design for maintainability, security, and scale.

Web Layer
React/Next.js frontends, responsive portals, real-time UI
API Layer
REST/GraphQL APIs, authentication, rate limiting, versioning
Worker Layer
Background jobs, queues, scheduled tasks, event processing
Data Layer
PostgreSQL, Redis, vector stores, data pipelines
AI Layer
LLM orchestration, embeddings, agents, prompt management
Governance Layer
Audit logs, guardrails, compliance checks, monitoring
How We Work

Engagement Model

A structured path from discovery to production — with continuous delivery and clear milestones.

01

Discovery Sprint

Map your operational reality — systems, data, workflows, constraints. Define what success looks like.

1-2 weeks
02

System Design

Architecture blueprints, integration strategy, security model, and phased delivery plan.

1-2 weeks
03

Build

Iterative development with continuous validation. Working software every sprint.

8-16 weeks
04

Production

Deployment, monitoring setup, team training, and documentation handoff.

1-2 weeks
05

Iterate

Ongoing optimization based on real usage data. Expand capabilities as you learn.

Ongoing
FAQ

Common Questions

Security is architectural, not an afterthought. We implement row-level security, encryption at rest and in transit, SOC 2-aligned practices, and comprehensive audit logging. For regulated industries, we design for HIPAA, PCI, or industry-specific requirements from the start.

A focused MVP typically takes 10-14 weeks from kickoff to production. Complex multi-system integrations may take 16-24 weeks. We deliver working increments every 2 weeks so you see progress continuously.

You do. Everything we build is yours — source code, infrastructure configurations, documentation. We use standard technologies (TypeScript, PostgreSQL, cloud-native patterns) so you're never locked in.

We meet your systems where they are. Whether it's REST APIs, database connections, file drops, or message queues — we build adapter layers that translate between old and new without disrupting existing operations.

Most enterprise data is. We build systems that handle real-world messiness — validation layers, fallback logic, human-in-the-loop workflows for edge cases. Perfect data is a myth; robust systems are not.

Ready to move from demos to production

Build AI Systems That Actually WorkIn Your Reality, Not a Lab

Let's start with a focused conversation about your operational challenges. No sales pitch — just systems thinking.

Email enterprise@aiwithei.com
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