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AI Implementation & Integration

AI That Works. ROI in Weeks.

Engineer-led. We build systems, not slide decks.

Growing companies (50–500 employees) need AI that delivers from day one. We find the highest-ROI opportunities, build the solution, and deploy it.

Recent: 70+ hrs/month recovered, $42K annual savings — read the case study  |  New: Building AI-ready knowledge systems for an enterprise client

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R
I
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TRIAGE
6-Step Framework
70+
Hours/month recovered
$42K
Annual savings documented
2-4
Weeks to first quick win
From our QuickBooks automation case study
67% of CEOs expect AI ROI in 1–3 years (KPMG, 2025). Our clients see it in weeks.
How We Work

Discover. Build. Scale.

First working systems in 2–4 weeks.

62% of companies are still stuck in AI pilots that never reach production (McKinsey, 2025). We skip the experiment phase entirely — working solutions in weeks, not months. No handoffs, no middlemen. Engineer-led from discovery to production.

It starts with a focused 2-week sprint to identify your highest-value AI opportunities. From there, we build, test, and deploy — prioritizing by ROI so the biggest wins land first.

We don't hand you a PDF and walk away. We build the solutions ourselves. 10+ years of systems architecture means we design AND deliver.

"Start with the highest-ROI opportunity. Build it fast. Then scale what works — because momentum compounds."

The TRIAGE principle
Discover opportunities. Build solutions. Scale what works.
The Origin Story

"After a decade designing and building complex systems, I wanted to help companies implement AI the right way — fast, practical, and built on foundations that actually hold."

That's why I built TRIAGE — a practical protocol that starts where the work happens, identifies the highest-ROI opportunities, and delivers working solutions in weeks. And because I'm an engineer, not just a consultant, I build the solutions myself. No slide decks. Working systems that your team actually uses.

Alberto Rosas, Founder & AI Integration Architect
Alberto Rosas
Founder & AI Integration Architect
10+ years systems architecture · Engineer turned consultant · Connect on LinkedIn →
Ready to move fast? Let's talk.
Book Discovery Call
2-week sprint. Guarantee included. No obligation to proceed.
The Methodology

The TRIAGE Framework

A systematic, 6-step protocol designed to move companies from discovery to measurable results.

Research across 2,500+ AI deployments shows systematic approaches significantly outperform isolated experiments.

Task Assessment

We sit with your team to identify the real bottlenecks — the ones costing the most time and money. Data-driven discovery reveals root causes, not symptoms.

ROI Mapping

We map clear financial outcomes before building anything. If an automation doesn't save measurable hours or dollars, we don't build it. Simple as that.

Integration Planning

After we know what to fix and what it's worth, we design exactly how. Your implementation roadmap accounts for the tools you already use, the constraints you operate under, and the capacity your team actually has. No rip-and-replace. No theoretical blueprints.

Adoption Strategy

Technology fails if humans don't use it. Training and change management are baked in from day one — not bolted on at the end. Your team shaped the solution, so they actually want to use it.

Governance

Every solution ships with guardrails built in: security protocols, compliance requirements, and quality controls. AI runs within proper boundaries from day one — not retrofitted after something breaks.

Evaluation & Optimization

Impact is measured against the KPIs defined in step 2 — no subjective "it feels better." The system iterates and improves, and so does your team's ability to manage it independently. The goal is your independence, not our retainer.

The Journey

Your AI Implementation Timeline

A clear path from kickoff to measurable results.

Before TRIAGE

Where Most Companies Start

  • × Leadership demanding "AI strategy"
  • × IT blocked by compliance concerns
  • × Teams stuck in manual work
  • × Consultants quoting six figures for unknowns
  • × 6-12 month timelines, no guarantees
  • × No idea where data actually lives
TRIAGE
8-12 Weeks
After TRIAGE

The Production State

  • Quick wins deployed in first 2-4 weeks
  • Operational waste quantified in dollars
  • Processes documented & standardized
  • Foundation for scalable automation
  • Team empowered, not replaced
  • Clear ROI documented from day one

The TRIAGE Timeline

Week 1-2
Discovery

Process mapping, opportunity identification, ROI documentation

Week 3-4
Quick Wins

First AI solutions deployed, immediate time recovered

Week 5-12
Build & Scale

Standardization, automation architecture, team training

Efficiency Impact Model

Model Your AI Savings.

Every hour your team spends on manual processes is an hour AI could give back. Use this model to estimate what implementation could recover for your organization.

50
$150k
10h
*Per employee. Includes excessive meetings, manual data entry, and context switching.
Projected Impact LIVE ESTIMATE
Total Payroll
Based on avg salary
$7.5M
Annual Savings Opportunity
Recoverable through AI implementation
$1.88M
Recoverable Capacity
12.5 Full-Time Employees
26,000 hrs
Start Building — Book Discovery

Not sure yet? If our sprint doesn't surface clear savings, you get a full refund. See a real example.

Directional estimate. Your discovery sprint will produce verified numbers specific to your organization.

The Shift

Why companies choose TRIAGE.

Traditional consulting recommends and leaves. We design, build, and stay until the numbers prove it works.

01 / Risk Profile
Start Small, Prove Value, Then Scale.
High capital commitment & unknown outcomes
02 / Time To Value
Working Solutions in Weeks, Not Months.
6-12 months implementation latency
03 / Adoption
Built From Your Team's Reality, Not a Template.
Top-down deployment & low buy-in
04 / Cost Logic
Investment Scales With Proven Results.
High fixed retainers & wasted licensing
Making the Right Choice

Your Real Options

Every company facing AI adoption has three paths. Here's an honest look at each.

The Default

Wait & See

Cost: $0 upfront, compounding waste

  • × Operational waste continues unchecked
  • × Competitors gain efficiency advantages
  • × Team burns out on manual work
  • × Eventually forced to act under pressure
Build In-House

Hire an AI Lead

Cost: $150-200K/year + 6-12 month ramp

  • ✓ Permanent in-house capability
  • × 3-6 month hiring process
  • × No framework or methodology on day one
  • × Single point of failure if they leave
Fastest to Value
Guided Implementation

TRIAGE Framework

Starts with a 2-week Discovery Sprint

  • ✓ Quick wins in 2-4 weeks
  • ✓ Structured 6-step methodology
  • ✓ Ground-truth, frontline-first discovery
  • ✓ Your team owns the result

The real cost of waiting isn't the AI you didn't buy — it's the operational waste you keep paying every month. The calculator above shows you the cost. We build the fix.

Ready to implement AI that works?

In two weeks, you'll have verified ROI projections and a clear implementation plan — and we'll have already identified your quickest wins to start building.

Discovery Guarantee: If our Discovery Sprint doesn't surface clear, measurable savings opportunities, we'll refund it. That's how confident we are in the process.

Book Discovery Assessment
Common Questions

Everything You Need to Know

Most AI consultants sell tools or strategy decks. We do neither. We start by sitting with your actual team members — the people doing the work — to understand where time and money are being wasted. Then we fix the process before touching any technology. Our engagements are scoped and priced for growing companies, not enterprises, and you see quick wins in weeks, not months. If you're considering hiring an AI lead instead, consider this: we deliver a structured methodology and results in the time it takes to fill a role.

That's exactly why we exist. MIT research shows 95% of AI pilots fail — not because the AI is bad, but because the process underneath was never ready. Most implementations skip straight to the technology and wonder why nothing sticks. We work backwards: document what actually happens day-to-day, remove immediate friction with tactical solutions, then standardize processes so automation has a stable foundation to build on.

Discovery phase: 2 weeks to quantify waste and map real bottlenecks.
First quick wins: 2-4 weeks to remove immediate friction and free up capacity.
Full implementation: 8-12 weeks for complete TRIAGE cycle (standardization + automation architecture).
Unlike traditional consulting where you wait 6 months to see value, you see measurable improvements in the first month.

Yes — this is one of the most common scenarios we hear. Pressure without clear strategy leads to expensive mistakes. We help you respond intelligently: first, we quantify your actual operational waste (the calculator above shows you the math). Then we build a phased roadmap with measurable ROI milestones. You'll have concrete numbers to present to leadership within 2 weeks, and demonstrable results within 60 days — not vague promises about "AI transformation."

Absolutely—and you're not alone. Data blindness is one of the most common blockers companies face. That's why Task Assessment (the "T" in TRIAGE) starts with discovery: we sit with your teams to understand actual workflows, identify where data lives (spreadsheets, databases, tribal knowledge), and document the current state. You can't automate what you don't understand. We make the invisible visible first.

Discovery phase: 5-10 hours of interviews with key team members across operations.
Implementation: Weekly check-ins (1 hour) + access to systems/data + one internal champion (10-15% of their time).
Our philosophy: We build with you, not for you. Your team's insights are critical—they know where the real pain points are. But we do the heavy lifting on design, build, and deployment.

No—waiting for perfect AI agents means losing money today while competitors gain ground. Our approach: deploy tactical interim solutions now to remove immediate friction, which creates breathing room to properly standardize processes. Then when more advanced AI becomes available, you have clean foundations to build on. Companies that wait end up further behind because they never fixed the underlying chaos.

We define clear KPIs upfront in the ROI Mapping phase (the "R" in TRIAGE). Typical metrics:
Time savings: Hours recovered per employee per week
Cost reduction: Operational waste eliminated (calculated in dollars)
Capacity gained: FTE equivalents freed up for higher-value work
Process reliability: Error rates, completion time, consistency
Every metric ties directly to financials. If we can't measure it, we don't build it.

You get a complete report: every friction point mapped, financial impact quantified, and a prioritized roadmap for fixes. From there, you have three options: take the roadmap and execute internally, bring us on for a targeted quick-wins phase (4–8 weeks), or engage us for the full TRIAGE implementation (scoped and priced based on your specific findings). There is zero pressure to continue — the discovery deliverables are yours regardless.