APPLIED AI

AI implementation, proven on your own systems.

Most AI initiatives stall the same way: a strong pilot, no real production. Wherever yours stands, FullStack closes that gap — and proves it on your own work before you scale.

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We’ll explore your technology goals and challenges
You’ll get expert insights on the best path forward
We’ll outline next steps to bring your solution to life
APPLIED AI

AI implementation, proven on your own systems.

Most AI initiatives stall the same way, a strong pilot, no real production. Wherever yours stands, we help you close that gap, and prove it before you scale.

Five diverse coworkers collaborate and work on laptops and a desktop with code in a bright office.

Agentic Workflow Automation

Custom agents that absorb tickets, reconciliations, requests, and approvals end to end.
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AI PDLC

Rebuild your product development lifecycle including spec, design, engineering, QA, and release on your live backlog.
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Intelligent Applications

Intelligent features embedded in your existing product, or a new AI-first product built from scratch, grounded in your real data.
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We'll find where your AI work is actually stalling.
You'll get a baseline and a metric before anything gets built.
We'll outline the first thing worth putting into production.
Case Studies

Our client impact in action

AI Document Processing Cuts Costs by 50%

A logistics provider's legacy document system, estimated at over $1 million annually, was inefficient and unscalable. FullStack built a scalable AI solution that reduced processing times by 75% and cut costs in half while maintaining accuracy and reliability.

AI Call Auditor Automates 99% of Reviews

A regulatory compliance firm partnered with FullStack on a proof of concept for an AI system that reviews calls for potential SEC violations, scoring accuracy and confidence on every transcript. Reviewers went from reading every transcript to adjudicating the 1% the system flags — an estimated 5,500 labor hours and $232,000 a year of review capacity returned to the team.

Rapid Modernization and Quality Code

Paciolan partnered with FullStack to roll out AI-native workflows across its entire engineering organization, freeing teams from repetitive migration work so they could focus on quality and complex problem solving. Modernization timelines improved more than 30%.

testimonials

What our clients are saying

“FullStack’s deep understanding of BenjaminWest’s needs, coupled with consistent updates, made the collaboration seamless and the outcome outstanding.”
Joe Eikelberner, COO
BenjaminWest
“FullStack acted as true partners and advisors. The expertise around AI and the level of developers, engineers—whatever role it was that came to the table—was just phenomenal."
Marisa Kopec, CEO
Lux Research
Speed is only the byproduct; the real value is better software and better use of our people.
Raj Tatta VP of Engineering
Paciolan
MOVING SAFELY

De-risk the work before it becomes a program.

Every Applied AI engagement opens with a short, fixed-fee diagnostic on your own work — a process map, a lifecycle trace, or an opportunity frame — that names the first thing worth building and what it's worth.
A group of business professionals collaborating in a lush urban park with towering skyscrapers in the background, symbolizing innovation and efficiency. The scene represents machine learning models optimizing business operations, as technology and sustainability converge to enhance productivity and decision-making in a modern corporate environment.

Something in production in 6–10 weeks

A first automated workflow is typically live in six to eight weeks. An AI PDLC core arc runs eight to ten. A first product feature reaches real users in six to ten.

A group of business professionals collaborating in a lush urban park with towering skyscrapers in the background, symbolizing innovation and efficiency. The scene represents machine learning models optimizing business operations, as technology and sustainability converge to enhance productivity and decision-making in a modern corporate environment.

Baseline first, or the result is unprovable

We lock a Week 0 baseline before anything changes. Without it, you have a story about improvement rather than a number, which is exactly the position most AI programs are in now.

A group of business professionals collaborating in a lush urban park with towering skyscrapers in the background, symbolizing innovation and efficiency. The scene represents machine learning models optimizing business operations, as technology and sustainability converge to enhance productivity and decision-making in a modern corporate environment.

A graduation gate that can fail

Agents and features run against real work and have to clear accuracy and escalation targets before going live. What doesn't generalize gets killed rather than shipped, which is the point of the gate.

A group of business professionals collaborating in a lush urban park with towering skyscrapers in the background, symbolizing innovation and efficiency. The scene represents machine learning models optimizing business operations, as technology and sustainability converge to enhance productivity and decision-making in a modern corporate environment.

Start with one, not three

The three services reinforce each other, but each is its own engagement with its own entry point. Most clients start where the stall is worst and expand once it proves out.

COMPREHENSIVE SOLUTIONS

Explore FullStack's applied AI services.

Reporting across the industry puts 88% of agent pilots as never reaching production, and Gartner projects more than 40% of agentic AI projects will be cancelled by 2027 — for cost, unclear value, and weak risk controls. None of those three causes is a model problem.
  • Workflow process mapping and ROI ranking
  • Agent orchestration and guardrail design
  • Shadow-mode piloting and graduation gates
  • Idea-to-production cycle time diagnostics
  • Agentic development maturity scoring
  • Lifecycle stage rebuilds on live backlogs
  • Intelligent feature design and delivery
  • Eval harness, guardrails, and cost budgets
  • In-flow training and capability handover

Partner with FullStack and get AI into production.

Enterprise Partnerships

Business-unit entry, enterprise-grade delivery

For large organizations, we land in one function with one workflow or one product org, then expand — senior engineers doing the actual work, scoped to a real mandate rather than sold as a multi-quarter platform program.
Mid-Market Solutions

The production step your pilot didn't reach

For teams whose internal build worked in the demo and died in review, we keep what works, harden it, and build lasting internal capacity alongside your team.
our blog

Featured articles

Generative AI ROI: Why 80% of Companies See No Results

Generative AI promises big returns, but 80% of companies struggle to see impact. Discover why—and how tailored software development drives ROI.
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What a Forward Deployed Engineer actually does, and why your team can’t hire one fast enough

Learn what a Forward Deployed Engineer actually does, how the role differs from a solutions architect, and why it is critical for successful enterprise AI implementations.
Read post

Inside Starbucks’ AI Inventory Collapse and How FDEs Could Have Saved It

Starbucks scrapped its AI inventory tool after just nine months. This article examines what failed and how forward-deployed engineers could have prevented it.
Read post

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