Custom AI Systems

Custom AI systems — not off-the-shelf tools. We design, build, and manage AI that's trained on your data and runs your business automatically.

Enterprise integrations - the AI OS connects to every tool your business runs

Stripe QuickBooks Salesforce HubSpot GitHub AWS Google Workspace Slack 1Password + 19 more
23×
ROI Delivered to PaveAmerica (Q1 2026)
8
Work Orders Delivered in Q1
225K+
Bid Data Points Analyzed
97%
Reduction in Manual Reporting Time

Most AI Investments Deliver Nothing.
Here's Why.

80% of companies can't demonstrate ROI from their AI spend. Less than 2% achieve real transformation. The tools aren't the problem. The problem is generic AI trained on everything except your business.

💰

Dormant Revenue You're Not Chasing

Your sales team has hundreds of bids, leads, and past clients they haven't followed up with. They're busy. They'll get to it. They won't. We build AI outreach systems that automatically identify, prioritize, and follow up - so nothing falls through the cracks.

📊

You're Running Blind on Margins

You know your revenue. Do you know which projects actually make money? Which bids to take and which to walk away from? Which clients drive profit and which drain it? We connect your data and give you real answers - updated daily.

🤖

Off-the-Shelf AI Doesn't Create Competitive Advantage

80% of companies can't show ROI from their AI investment. Less than 2% achieve real transformation. The reason: ChatGPT and Copilot are trained on the entire internet — not your data, your customers, or your competitive edge. Generic AI gives you generic results. We build something different.

The Problem Isn't AI.
It's the Wrong AI.

Off-the-shelf AI is trained on everything on the internet — except your data. It doesn't know which bids you win, which clients pay, which projects make money, or what your best salespeople do differently. It can't create competitive advantage because it knows nothing about your competitive position.

❌ Off-the-Shelf AI
  • Trained on the internet, not your business
  • You prompt it manually, every time
  • Generic responses, no industry context
  • No connection to your actual workflows
  • ROI unclear — 80% of companies can't show it
✅ Data2Dollars Custom Agents
  • Custom models trained on your data and industry
  • Runs automatically — no prompting required
  • Deep domain expertise baked in
  • Wired into your actual systems and workflows
  • Measurable outcomes every month
Real Transformation — PaveAmerica

A national paving company that now wins more bids, recovers dormant revenue automatically, and knows exactly which jobs make money — before they bid.

We combined computer vision models trained on pavement imagery, custom bid pricing AI built on 225,000+ historical bids, and an automated outreach engine that reactivates dormant leads — all wired into their existing systems. Not a chatbot. A transformation.

23×
ROI delivered (Q1 2026)
225K+
bids analyzed by custom models
8
AI systems delivered in Q1 2026
PaveAmerica Case Study →

Every Bid. Every Lead. Every Dollar. One Screen.

Bid performance, dormant leads, margin by project type, and pipeline health - updated in real time.

data2dollars.ai — Custom AI Platform
Active AI Agents
16
↑ 3 deployed this month
Monthly AI Spend
$4,200
↑ 36× ROI vs human equiv.
Tasks Completed
2,847
↑ 94% automation rate
AI ROI by Month (FY 2026)
Governance Score
98%
↑ All agents compliant

Not a Tool. An AI System Built for Your Business.

The AI OS gives you governance, controls, budget management, ROI tracking, and full visibility into your entire AI workforce - from 3 agents to 300.

🛡️

AI Governance & Controls

Role-based permissions, approval workflows, and audit trails for every AI agent. Know who has access to what - and enforce it automatically.

Enterprise-Grade
💰

Budget Management & Cost Transparency

See every dollar your AI spends - by agent, by task, by business unit. Set budgets, get alerts, and track ROI on every AI investment in real time.

Real-Time ROI
🤖

AI Team Orchestration

Your AI workforce managed like your human workforce - with OKRs, skills, accountability, and performance reviews. Assign tasks, track output, measure impact.

Workforce OS
🔒

Enterprise Security & Compliance

Data encryption, access controls, compliance reporting, and security monitoring. Enterprise-grade protection without enterprise-grade complexity.

SOC 2 Ready
📊

ROI Tracking & Reporting

Every AI agent has a scorecard: tasks completed, hours saved, revenue impact, cost per task. Board-ready reports generated automatically.

Measurable
📈

Continuous Improvement

Your AI gets smarter every month. New capabilities deployed, models optimized, workflows refined. The OS evolves with your business.

Always Improving

AI That Actually Does Something. Finally.

The AI OS doesn't just deploy agents - it gives you complete visibility and control over your entire AI workforce. Governance, budgets, ROI, compliance - all in one place. Scales from 3 agents to 300 without chaos.

What We Build and Run For You

Most businesses are sitting on untapped revenue, wasting hours on manual reporting, and watching leads go cold. The problem isn't effort - it's that nobody has connected the data and built the systems to act on it automatically.

We combine custom AI models trained on your specific data with the best off-the-shelf AI where it fits — wired together into systems that run automatically and get smarter every month. Deep industry expertise. Real competitive advantage.

We build those systems - and we run them for you. - giving you governance, security, compliance, budget management, and full visibility into what every AI agent is doing, what it costs, and what it delivers. Enterprise-grade control. Startup-grade simplicity.

🎯 What We Deliver

Find Revenue: AI systems that identify dormant leads, score opportunities, and trigger outreach automatically.
See Your Business: Custom dashboards connecting bids, margins, pipeline, and performance - updated daily.
Run Leaner: Automate the reports, follow-ups, and data work eating your team's time.
Result: More revenue recovered. Better bids taken. Less manual work. Visible in real-time.
📋

Command Center (Pulse)

Task board with urgent items, in-progress work, blocked items, daily completions. AI sub-agents running autonomously with live status. Decisions waiting for your input with AI-generated recommendations.

Real-Time Control
🎙️

Meeting Intelligence

Pre-meeting briefing packets with company research, attendee profiles, and past context. Real-time meeting scoring: talk ratio, listening score, engagement. Auto-generated follow-up drafts.

Meeting Scoring
💰

Financial Dashboard

P&L, Balance Sheet, Cash Flow - auto-populated from your systems. KPI tracking with drill-down. Budget vs. actual, runway calculations. AI cost optimization recommendations.

Auto-Populated
🤖

AI COO

Handles operations, finance, scheduling, and reporting — running 24/7 with live status tracking and autonomous task completion. Included in every engagement.

Included in Engagement
📈

AI Chief Growth Officer

Marketing strategy, sales operations, competitive intelligence, and content generation. Finds opportunities and scores them by profit probability - not just deal size.

Included in Engagement
🔗

28+ System Integrations

Email, Calendar, CRM, Stripe, GitHub, AWS, meeting transcripts, social media, DNS, 1Password, and more. All feeding one unified dashboard. 180+ daily data refresh cycles.

180+ Refreshes/Day

Your AI Business Analyst. Always On.

Flo lives inside your dashboard. It knows what you're looking at, understands every metric, and explains your business in plain English.

Ask a question. Get an answer - with data, context, and a recommendation. No prompt engineering. No hallucinations. Just facts from your data.

  • Context-aware: Knows which panel you're viewing and adapts its insights
  • Proactive: Surfaces anomalies and opportunities before you ask
  • Grounded: Every insight is backed by specific data with timestamps
  • Actionable: "Want me to draft that follow-up email?" → Done
  • Memory: Remembers what you asked last week and follows up
See Flo With Your Data →
F
Flo
● Analyzing your dashboard
Good morning. Revenue is up 12.4% this month, but I noticed something - 68% of growth is from a single client. Concentration risk is increasing.
Which client? Should I be worried?
Meridian Corp - they expanded to 3 new service lines in February. Good news: their NPS is 72. Risk: if they churned, you'd lose $104K ARR. I'd recommend starting 2 new enterprise deals this quarter to rebalance. Want me to pull your top prospects?
Yes, and set up intro meetings for next week.
Done. 3 prospects identified, calendar invites drafted. I'll put them in your morning briefing tomorrow. ✓
Ask Flo anything about your business...

See It For Your Business

Custom AI adapts to your business. See how we connect your data and automate the workflows that drive your margins.

Construction & Contracting

From automated lead discovery to dynamic bid pricing to real-time project margins - see your entire operation from prospect to final invoice. AI identifies profitable opportunities and flags the ones that will lose money before you bid.

Margin Improvement
$2.3M
Active Bid Pipeline
-67%
Money-Losing Bids
94%
Crew Utilization
Try the Live Demo → Get This For YOUR Business →

💬 Flo in Action - Construction

Should we bid on the Municipal Lot 7 resurfacing?
⚠️ I'd recommend caution. This project profile matches 3 past jobs where you averaged 11% margin vs. your 28% target. Risk factors: tight 6-week timeline, asphalt pricing is up 14% this quarter, and your closest crew is 45 min from site - that's $8K in mobilization alone. If you bid, I'd add 15% contingency. Want me to run the dynamic pricing model?
Yes. And what new leads came in this week?
4 new opportunities detected: Henderson Mall expansion ($840K, high margin fit - you've done 3 jobs for this GC at 31% avg margin), Oak Park HOA ($320K, permit filed Tuesday), and 2 municipal RFPs. I've pre-scored them: Henderson is your best bet at 87% profit probability. I drafted the intro email - want to review it?

Insurance & Claims

Underwriting performance, claims velocity, loss ratios, and portfolio risk - all connected. AI-powered pattern detection catches emerging risks before they hit your book.

62%
Loss Ratio
4.2 days
Avg. Claim Cycle
$18M
Book Value
97.3%
Model Confidence
Try the Live Demo → Get This For YOUR Business →

💬 Flo in Action - Insurance

What's driving the uptick in commercial claims?
Commercial claims are up 18% this quarter, concentrated in the Southeast region. 73% are water damage - likely correlated with the February storms. Your AI model flagged 8 policies with underpriced risk before the events. Recommendation: adjust pricing on the 42 similar policies in that region before renewal.
What's the financial exposure if we don't adjust?
Estimated additional losses of $340K over the next 6 months based on climate projections and current pricing. Adjusting premiums on the 42 flagged policies would reduce exposure to ~$85K. I've drafted the re-rating analysis - want me to send it to your actuarial team?

Software & Technology

MRR, churn cohorts, LTV:CAC, product usage, and expansion revenue - the metrics that matter, updated every hour instead of every board meeting.

$847K
Monthly Recurring Revenue
3.2%
Monthly Churn
4.1×
LTV:CAC Ratio
118%
Net Revenue Retention
Try the Live Demo → Get This For YOUR Business →

💬 Flo in Action - Software

Why did churn spike last month?
Churn hit 4.8% - up from your 3.2% average. 6 of 9 churned accounts were on the Starter plan, onboarded in Q4 with no CSM touch after day 7. The pattern: low feature adoption (avg. 2.1 features used vs. 5.4 for retained users). This is an onboarding problem, not a product problem.
What should we do about it?
Three moves: (1) Add a day-14 automated check-in for Starter accounts, (2) flag accounts using fewer than 3 features by day 10 for CSM outreach, (3) consider a guided setup wizard - your top-retained cohort all completed onboarding in under 48 hours. Want me to draft the spec for engineering?

Professional Services

Utilization, project profitability, pipeline forecasting, and client health scores. Know which engagements are profitable and which are silently bleeding margin.

76%
Billable Utilization
$4.2M
Quarterly Revenue
38%
Avg. Project Margin
91
Client NPS
Try the Live Demo → Get This For YOUR Business →

💬 Flo in Action - Professional Services

Which projects are underwater this quarter?
Two projects are below margin threshold: Nexus Integration at 12% margin (target 35%) - scope creep on the data migration phase, 140 hours over estimate. And Apex Audit at 8% margin - client requested 3 unscoped deliverables that your team absorbed. Combined, these are costing you $89K in lost margin.
Can we recover any of that?
Nexus has a change order clause in the SOW - I'd recommend submitting one for the 140 excess hours ($31.5K). Apex is trickier, but they're up for renewal in April - building the extra work into the renewal proposal would recover ~$40K annually. Want me to draft both documents?

Manufacturing & Distribution

Production efficiency, supply chain health, order fulfillment, and quality metrics. See bottlenecks forming before they shut down your line.

92%
OEE (Overall Equipment)
98.4%
On-Time Delivery
2.1%
Defect Rate
$12M
Monthly Output
Try the Live Demo → Get This For YOUR Business →

💬 Flo in Action - Manufacturing

What's causing the quality issues on Line 3?
Line 3 defect rate spiked to 4.7% on Feb 20 - up from 1.8% baseline. It correlates with the new resin batch from Supplier B (lot #2026-0218). 89% of defects are surface finish issues. Supplier A's equivalent material had zero defects last quarter. Recommendation: halt Supplier B resin, switch back to A, and file a quality claim.
What's the cost impact so far?
Estimated impact: $47K in scrap + rework, plus $23K in delayed orders. If you switch back to Supplier A today, you'll be back to baseline by Thursday. The quality claim against Supplier B should recover approximately $35K. Want me to generate the claim documentation?

Your Custom AI System in 8 Weeks

We don't sell software and wish you luck. We deploy, configure, and manage your AI OS - starting with your existing agents and data.

1

Discovery Call

30 minutes. We map your AI agents, data sources, and governance gaps. You'll leave knowing exactly what the AI OS will look like for your business.

2

8-Week Deployment

We deploy the AI OS, connect your systems, configure governance controls, and onboard your AI workforce. You're using it daily by week 4.

3

Prove the ROI

See every agent's performance, cost, and impact. By week 8, you'll have real-time ROI visibility across your entire AI workforce.

4

Managed Service

New capabilities monthly. Continuous optimization. Your AI gets smarter, your governance stays tight, your ROI keeps climbing.

Built for Ourselves First. Now We Deploy It for You.

We didn't build this in a lab. We built it running 16 AI agents across 4 business units.

Construction / Paving

How PaveAmerica Recovered Dormant Revenue — and Stopped Taking Losing Jobs

23×
ROI delivered (Q1 2026)
8
work orders delivered in Q1

A national paving company connected their bidding system, project financials, and dormant leads for the first time. An AI outreach engine now automatically follows up on cold bids. CV models identify new opportunities. Dashboards show exactly which jobs make money — before they bid.

“The AI found leads our sales team hadn’t touched in months. We’re recovering revenue we didn’t even know we were leaving behind.”
Read Full Case Study →
Insurance / AI Underwriting

AI-Powered Risk Intelligence: ClaimAngel's Edge

60%
faster underwriting decisions
$340K
in risk exposure prevented

An insurance company connected claims data, model performance, and portfolio risk into one view. Flo now identifies pricing anomalies and recommends adjustments before losses materialize.

"We went from reactive claims management to predictive risk intelligence. Flo caught a pricing gap that would have cost us six figures."
Read Full Case Study →
Multi-Business / Internal

How 16 AI Agents Run 4 Business Units - With Full Visibility

16
AI agents orchestrated daily
4
business units managed from one AI OS

We built custom AI systems for ourselves first — 16 agents across consulting, CV platform, sales, and operations, all trained on our own data. Every agent has OKRs, a budget, and a scorecard. We don't sell what we don't use.

"I manage 16 AI agents. Here's the system that makes it possible - and the reason none of them go rogue."
Read Full Case Study →
Ready to See Your Numbers?

Your business has the same opportunities.
Let's find them with your data.

PaveAmerica recovered $67K/month. ClaimAngel cut review time by 60%. We'll show you a custom demo built around your industry and workflow — not a generic slide deck.

See It With Your Data → Read All Case Studies →

No commitment. Custom demo in 24 hours.

CEOs Who Are Scaling AI - And Need Control

I was spending 3 hours every Monday compiling reports from 6 different tools. Now I open one screen and Flo tells me what changed, what's at risk, and what needs my attention. I got my Mondays back.
TC
CEO, Construction Company
$20M Revenue, 85 Employees
We had AI agents everywhere - marketing, sales, ops. None of them were governed. Data2Dollars didn't just deploy agents — they built custom systems that actually know our business. That's the game changer.
JR
CEO, Software Company
$5M ARR, Series A
I knew our data had value. I just couldn't get to it without asking three different people and waiting a week. Now I ask Flo and get an answer in seconds. With the actual numbers.
ML
CEO, Professional Services
$40M Revenue, 120 Employees

Stop leaving revenue on the table.
We find it. We recover it. You keep it.

We build and run AI systems that find dormant bids, automate follow-up, and show you exactly which opportunities are worth pursuing. Managed service — we run it, you see the results.

Built by a team running 16 AI agents across 4 business units. Product + Setup + Managed Service.

See It With Your Data → 2-minute intake • Custom demo in 24 hours
📅 See the AI OS - Book a Demo