Production AI Engineering

We build production agentic AI workflows, govern shadow AI, and deploy AI across architecture, code, testing, and operations. We know where AI accelerates and where it hallucinates.

Stuck in pilot purgatory

Proofs of concept that never reach production. Agents that work in demos but fail in the real world. You need a team that ships production AI systems, not slide decks.

Shadow AI spreading ungoverned

Employees using AI tools without oversight, creating data leakage, compliance violations, and runaway costs across your organization.

Competitors shipping while you wait

Every week in pilot mode is a week your competitors are deploying production AI. The gap between experimentation and value is widening.

What We Deliver

Production agentic workflow implementation
AI workflow automation for complex business processes
AI strategy and readiness assessment with 90-day execution plan
AI agent and copilot development
Shadow AI discovery and governance frameworks
EU AI Act readiness alignment
Multi-model AI strategy and intelligent routing implementation
AI maturity assessment across the four eras framework

Who This Is For

Enterprise

Deploy production agentic workflows for claims processing, supply chain orchestration, and compliance evidence collection. Govern shadow AI across thousands of employees.

Mid-Market

Automated lead scoring, document processing, and customer support triage using AI agents. Move from pilot to production without hiring an AI team.

SMB / Startup

Rapid AI strategy with a 90-day execution plan. Agent opportunity audits. PoC-to-production in weeks, not quarters.

All Sizes

Shadow AI discovery and governance frameworks aligned with EU AI Act readiness. Know what AI tools are in your organization and govern them properly.

Outcomes

8

Products built with AI across every function

88%

AI inference cost reduction through model routing

99.2%

Accuracy with deterministic validation

Frequently Asked Questions

What is agentic AI implementation?
Agentic AI implementation means building autonomous AI systems that can plan, execute, and iterate on complex tasks without continuous human oversight. RedHold builds production agentic workflows for claims processing, supply chain orchestration, compliance evidence collection, and more.
How long does it take to deploy an AI agent to production?
Depending on complexity, RedHold deploys production AI agents in 4 to 12 weeks. Simple workflow automations ship in as few as 2 weeks. Complex multi-agent systems with enterprise integrations take 8 to 12 weeks.
What is shadow AI and why does it matter?
Shadow AI refers to AI tools, models, and services used within an organization without IT or security oversight. It creates ungoverned risk including data leakage, compliance violations, and uncontrolled costs. RedHold discovers and governs shadow AI across your organization.
Do you support EU AI Act compliance?
Yes. RedHold builds AI governance frameworks aligned with EU AI Act requirements, including risk classification, transparency obligations, and human oversight mechanisms. We help organizations assess which AI systems fall under high-risk categories and implement the documentation and controls needed to meet compliance deadlines.
What is the four eras framework?
The four eras framework maps AI maturity: Era 1 (light automation), Era 2 (AI-assisted build), Era 3 (AI-native products), Era 4 (agentic operations). Most organizations are in Era 1 or early Era 2. RedHold helps compress the journey to Era 3 or 4, drawing on our team's 15+ years and 150+ enterprise engagements.
How does multi-model AI strategy work?
We use fast, affordable models for high-volume tasks (code generation, documentation, data parsing) and deep, capable models for complex reasoning (security analysis, compliance mapping, architecture review). Intelligent routing between models reduced our AI inference costs by 88% while maintaining 99.2% accuracy.

Whether you're building your first AI product or securing 1,000 cloud accounts, tell us what you're trying to solve.