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Case Study

How an IT Staffing Firm Closed 3 AI Pods in 60 Days with Netsmartz

Discover how a Denver IT staffing firm partnered with Netsmartz to deliver AI for their SaaS client—using a new model that turned a stalled project into $18k/month savings and three new revenue streams.

Industry

IT Staffing / SaaS

Location

Denver, North America

Plug an AI Pod Into Your Staffing Bench

Deliverables

AI Pod Composition

60-Day Production SLA

Subscription Pricing Model

Embedded Delivery for End Client

Revenue Share Framework

Client Overview

The client is a Denver-based IT staffing firm whose SaaS customer needed embedded AI features. Traditional placement models could not move fast enough — and an in-house build was off the table. The staffing firm needed a way to deliver AI outcomes under their own brand without hiring AI specialists.

Business Challenges

1

Stalled SaaS engagement

The staffing firm's SaaS client needed agentic AI features. Three months of placement attempts had produced zero shipped code.

2

Hiring AI talent off the open market

Senior AI engineers were priced beyond the firm's bill rates, and shortlists kept collapsing before final-round interviews.

3

Brand & reputation pressure

Continuing to bench-warm the engagement risked the staffing firm's standing with their largest SaaS customer.

Our Solutions

3 AI Pods deployed under the staffing firm's brand

Composition: 1 AI lead + 2 ML engineers + 1 data engineer + 1 full-stack engineer + agentic accelerators. Productized, not placement-based.

60-Day production SLA

Two-week sprints, weekly steering, ruthless scope. The first Pod was in production inside two months.

Subscription pricing co-built with the staffing firm

Replaced bill-rate placement economics with a margin-protected subscription that scales up or down by the month — no hiring obligation.

Results & Achievements

60 days

to three live AI Pods

$18k/mo

client savings vs hiring

3 streams

new recurring revenue lines

0

AI hires required

Tech Stack Used

AI Frameworks

  • LangChain
  • OpenAI
  • Anthropic
  • Azure AI Foundry

Engineering

  • Next.js
  • FastAPI
  • PostgreSQL
  • Redis

DevOps

  • GitHub Actions
  • Docker
  • AWS ECS

Observability

  • Datadog
  • LangSmith
  • Sentry

Key Takeaway

Productized AI Pods turned a stalled placement into shipped software. The staffing firm kept the customer, protected the brand, and added three recurring revenue lines — without hiring a single AI engineer. The same model is now their default proposal for every SaaS engagement.

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