Inlay

Inlay helps mid-market companies design, integrate, and embed AI tools directly into existing business processes — delivering measurable gains in efficiency, decision speed, and cost reduction.

Value Proposition

We help companies move from "AI-curious" to "AI-operational." We design, integrate, and embed AI tools and workflows directly into existing business processes — delivering measurable gains in efficiency, decision speed, and cost reduction without requiring in-house AI expertise.

Target Customer

Mid-market companies ($50M–$500M revenue) across operations-heavy industries — logistics, manufacturing, professional services, healthcare admin, and financial services — that recognize AI's potential but lack the internal team to evaluate, select, and deploy the right tools.

Revenue Model

Project-based implementation (fixed-fee or scoped engagements): assessment → tool selection → integration → training. Typical engagement: $20K–$100K.
Ongoing retainer for monitoring, optimization, and support (monthly, typically 10–20% of project fee).
Workshops & readiness audits as a lighter-touch entry point ($3K–$8K).

KPIs

Active client engagements (target: 3–5 at steady state)
Average time from kickoff to first measurable win per client
Retainer conversion rate (project → ongoing)
Client referral rate and NPS

lead

Team Lead

Team management, task planning, delegation, and monitoring

AI Solutions Architect

AI/ML expertise, business process analysis, and consulting frameworks. Designs AI implementation roadmaps, assessment frameworks, and integration strategies for mid-market companies. Produces client-ready deliverables: readiness audits, tool evaluations, process diagrams, and ROI projections.

Web Developer

Frontend and full-stack web development. Builds and publishes the marketing site (TanStack Start, React, Tailwind, TypeScript). Writes clean, modern landing pages with compelling copy and design.

Overview

Mission

Value Proposition

Target Customer

Revenue Model

KPIs

The team