System Architecture
Design secure AI systems around your workflows, data boundaries, and success metrics.
If your team is still manually reviewing documents, extracting data from emails, or routing support tickets by hand — we design, build, and deploy agentic AI systems that automate those workflows end-to-end. From architecture to production.
compile --workflow --handoffPROD SPECDocs
37 fieldscontracts, packets
requests, context
Apps
6 APIsCRM, ERP, tools
Workflow capture
What the team does by hand
Intake rules
Exception paths
Approval logic
Human review stays attached
Automate the busywork. Preserve the approvals that matter.
LayeredAI compiler
Compiles manual work into a governed system
01 Strategy
Outcome + ROI contract
02 Data
Connectors + structured context
03 Model
Agent policy + tools
04 Guardrails
Evals + review rules
05 Deploy
Monitoring + handoff
Production runbook
agent-workflow.yaml
Deployed across industries including
Interactive preview
Describe a task your team still does by hand. We'll instantly sketch the agentic AI workflow that automates it — then show you where to start.
Workflow Studio
Example: document intelligence
Incoming manual work
Supplier invoices arrive by email, then ops copies fields into ERP.
Document arrives
Email / upload / inbox
Classify & parse
Type + layout detection
Extract key fields
AI field extraction
Deployment expertise
The market has shifted from model demos to durable AI operations. LayeredAI helps teams close the gap between capability and production impact.
Design secure AI systems around your workflows, data boundaries, and success metrics.
Connect models to data, APIs, applications, and human review loops without brittle handoffs.
Ship production systems with testing, observability, rollback paths, and cost controls.
Monitor quality, improve latency, tune spend, and keep teams enabled after launch.
Market signal
The forward-deployed engineer trend is a clear signal: companies need technical partners who can embed, integrate, operate, and transfer capability.
of enterprises cite AI deployment execution as their #1 bottleneck
more AI pilots fail in production than succeed without an embedded build partner
in annual value estimated from AI-automated workflows across industries
Industry solutions
High-adoption sectors need AI systems that respect data sensitivity, compliance, reliability, and measurable ROI.
Lease intelligence, transaction automation, maintenance coordination, and portfolio analytics.
Document review, research, matter intelligence, intake, and governance-ready workflows.
Risk analysis, fraud detection, expense automation, and compliance-ready AI systems.
Supplier & PO tracking, demand forecasting, inventory optimisation, production milestone visibility, and agentic delivery coordination.
Support agents, knowledge retrieval, escalation routing, and faster resolution.
Built by LayeredAI
We don't just consult — we ship. Relay TC is our AI-powered transaction coordination platform for real estate TCs. Every deal, deadline, and document in one clear workspace.
Relay TC
relayai.us
Case studies
Keep the existing proof points, but surface them earlier with business metrics and clear industry context.
View All Case Studies
FinTech

D2C Retail

PropTech
How we work
LayeredAI works like a deployment team: discover the workflow, design the architecture, build the system, launch safely, then keep improving performance.
Map workflows, data, risks, and business outcomes before a build starts.
Define model strategy, system boundaries, integrations, and evaluation criteria.
Implement production code, retrieval, agents, guardrails, and app experiences.
Launch with monitoring, security controls, testing, and operational handoff.
Improve accuracy, speed, adoption, cost, and measurable business performance.
How we work
From a quick assessment to a full production build, our engagement tiers are designed for 20–500 person teams that need to move fast without wasting budget.
2-week assessment
Map your highest-value automation opportunities, estimate ROI, and get a prioritized deployment roadmap — before committing to a build.
4–8 week build
We design, build, and launch one production AI system into your workflow — integrated, tested, and handed off to your team.
Ongoing partnership
Continuous optimization, performance monitoring, model tuning, and iteration as your AI systems scale in production.
How we build
Most AI projects fail because they stay in demo mode. We build for production from day one: security, governance, monitoring, and a clear handoff so your team can own it.
Security reviews and data governance built into every engagement
Provider-agnostic architecture across OpenAI, Anthropic, Google, AWS, Azure, and private models
Evaluation frameworks, observability, and guardrails for production behavior
Training and documentation so internal teams can operate the system confidently
Not sure where to start?
For $1k–$3k you get a prioritized deployment roadmap, ROI estimates, and a clear recommendation — no commitment to a full build required.