🚫 No Strategy Decks • ✅ Working Software Only

AI That Solves Real Problems

The most valuable AI isn't chatbots or hype—it's solving real problems: intelligent features your customers love, and automation that frees your team from repetitive work.

I build 2-week Quick Wins that work with your existing systems—no transformation required. Pick one problem: a feature that needs intelligence, or a process that needs automation. Get working AI. Scale when ready.

20+ years enterprise experience: CloudBees, ADP, Workiva, Software AG

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Find Your First Quick Win

Select your industry and describe a standardized process that's eating up hours. Get a 2-week AI solution that automates it—without reorganizing your company or rewriting your workflows.

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Why Quick Wins Work

95% of AI projects fail because they start with massive organizational change (MIT/BCG). Quick Wins succeed because they avoid the transformation trap—one expert building solutions that fit your existing processes instead of teams selling roadmaps.

Process Transformation

"Big consulting firms push transformation—requiring you to redesign workflows, reorganize teams, and adopt new tools before seeing any AI value"

  • 70% organizational change management burden (BCG 10-20-70 rule)
  • 3-6 month assessment phase before any code
  • Strategy decks and roadmaps instead of working software
  • $250K+ investment before seeing results
  • 95% failure rate when transformation stalls (MIT)
Apexory Quick Wins

Incremental Quick Wins

"I build AI solutions that fit YOUR existing processes—no reorganization, no workflow redesign, no transformation risk"

  • Zero transformation required - works with your current processes
  • 30-minute discovery call then straight to building
  • Working software in 2 weeks you can use immediately
  • $10K fixed price - see results before expanding
  • Prove value first then scale what works

"Most AI projects fail because they try to transform everything at once. Quick Wins succeed because they prove value incrementally—one process at a time. Ship working software. See results. Then scale what works. That's how you avoid the 95% failure rate."

— Michael Bevilacqua, Apexory.ai

Success Stories

Real results from AI implementations - from 2-week quick wins to multi-month transformations

15+
AI Solutions Delivered
100%
Working Software
$300K+
Labor Cost Saved
14 Days
Average Delivery
0
PowerPoints Delivered

RFP Spec Comparison Engine

Manufacturing Company (75 employees) • Manufacturing

Manufacturing

Challenge

5 RFPs per week requiring manual spec-by-spec comparison against internal capabilities. Senior staff spending 2 hours per RFP identifying gaps, assessing risk, and creating comparison reports. No systematic way to identify deal-breakers early, leading to wasted proposal effort on bad fits.

Solution

Built AI-powered comparison engine that ingests RFP documents and internal spec sheets. NLP models extract and match key requirements, rule-based system identifies mismatches and criticality. System outputs comparison matrix in Excel format with differences highlighted and show-stoppers flagged, ready to incorporate into proposal workflow.

Technologies Used

NLP
GPT-4
Rule-Based Systems
Document Processing
Excel Generation
RFP Spec Comparison Engine architecture diagram

Key Results

  • 2 hours → 24 minutes per RFP (80% time saved)
  • 25% improvement in bid/no-bid decision accuracy
  • Show-stoppers identified early to avoid wasted effort
  • Excel comparison matrix integrates directly into proposal workflow
Client Reaction
"I didn't know this was possible"
80%
time Saved
2 weeks
delivery
$12K
investment

Knowledge Base Search & Retrieval

Professional Services Firm (100 employees) • Consulting

Consulting

Challenge

500+ past projects stored in files and SharePoint. Finding relevant examples taking hours. New employees can't find what they need.

Solution

Built semantic search system with natural language interface. Team asks questions in plain English, AI retrieves relevant projects, documents, and best practices with source citations.

Technologies Used

Semantic Search
Vector Database
RAG
NLP
Knowledge Base Search & Retrieval architecture diagram

Key Results

  • Hours → minutes to find past work
  • 10x faster document retrieval
  • New hire onboarding from 3 months → 6 weeks
  • Knowledge unlocked from tribal heads to searchable system
  • Working prototype in 2 weeks
Client Reaction
"Holy shit, we can actually find our own past work"
10x
speed Improvement
2 weeks
delivery
$12K
investment

Document Generation for Sales

B2B SaaS Company (75 employees) • Software

Software

Challenge

Sales team spending 3-4 hours creating custom proposals and SOWs. Copying from old docs, manual customization, inconsistent branding.

Solution

Built AI proposal generator that takes opportunity data (from CRM) and generates complete proposals using company templates, past wins, and pricing models. Sales reviews and sends.

Technologies Used

GPT-4
Template Engine
CRM Integration
Document Generation
Document Generation for Sales architecture diagram

Key Results

  • 3-4 hours → 20 minutes per proposal
  • Consistent branding and messaging
  • Sales team selling instead of writing
  • 80% time saved on document creation
  • Working system in 2 weeks
Client Reaction
"This is exactly what we needed - game changer for our sales team"
80%
time Saved
2 weeks
delivery
$12K
investment

Document Intake Agent

Insurance Provider (200 employees) • Insurance

Insurance

Challenge

Manual processing of quote requests from email and web forms. Staff spending hours extracting data from PDFs, validating completeness, and routing to underwriters. Backlogs causing 2-3 day response times.

Solution

Built autonomous AI agent that monitors inbound channels, extracts key fields from documents (coverage type, property details, risk factors), validates completeness against underwriting requirements, and routes to appropriate queue with pre-populated data.

Technologies Used

Agentic AI
Document Processing
Email Integration
Rule Engine
Queue Management
Document Intake Agent architecture diagram

Key Results

  • 2-3 days → 15 minutes quote processing time
  • 90% reduction in manual data entry
  • Zero backlog - agent processes 24/7
  • Underwriters reviewing quality submissions, not hunting for data
  • Working agent deployed in 2 weeks
Client Reaction
"The agent works faster than our entire intake team - and never sleeps"
90%
time Saved
2 weeks
delivery
$12K
investment

How It Works

Three simple steps to get your first AI solution deployed in two weeks.

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1. Find Your Quick Win

Tell me about a process that already works but takes too much time. Get an AI-powered recommendation for a 2-week quick win.

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2. Free 30-Min Call

I apply the CRIT framework—Context, Role, Interview, Task—to deeply understand your business before recommending solutions. Instead of jumping to answers, I'll interview you to surface the real problems and identify your highest-ROI opportunity.

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3. Two Week Delivery

Working AI solution you use immediately. Fixed price: $10,000. Then choose: stack another quick win or discuss bigger transformation.

Pricing

Fixed price. Fixed timeline. Working AI solution delivered in two weeks.

Two Week AI Solution
$10,000
One focused project. Two week delivery. Working solution you can use immediately.
  • Free 30-minute assessment call to identify your quick-win opportunity
  • Fixed scope project tailored to your business challenge
  • Delivered in two weeks - working solution, not a presentation
  • Examples: AI chatbot, document automation, intelligent search, data entry automation
  • You own the code and can modify it as needed
  • Two weeks of post-delivery support included

Ready for Your 'Wow' Moment?

Three ways to get started—pick the path that fits where you are.

Not Sure Where to Start?

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Ready to Start?

Book a free assessment call to identify your first quick win opportunity.

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Need Something Bigger?

See full solution packages with stackable quick wins that build over time.

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Get In Touch

Ready to start with a 2-week quick win? Let's discuss your biggest time-consuming process and how AI can help.

Michael Bevilacqua

Michael Bevilacqua

Enterprise AI Architect | Agentic AI Specialist

Denver, CO

Enterprise AI Architect with 20+ years architecting and transforming technology ecosystems across Fortune 100 companies and high-growth startups. Specialize in Agentic AI Architecture designing multi-agent systems that automate complex workflows and deliver 10x productivity gains.

227K+
Active users on payment platform (FIS, BanCorp)
60%
Cost reduction with Agentic AI
HIPAA & FDIC
Healthcare & FinTech compliance

Location

Denver, CO

Schedule

Book a Call

Ready to Get Started?

Let's discuss how AI can solve your biggest time-consuming process in two weeks.