Prepared for Advancing Eyecare
8 companies. 24,000 devices. 600 people.
One intelligence layer that connects them all.
One Pattern Contract
Objective AEC-ONE-001: 40% cycle time reduction across 120 users and 6 workflows in 90 days. Signed Friday, February 20, 2026. If not achieved, AEC may terminate with no penalty.
The Reality
Advancing Eyecare assembled the largest ophthalmic service network in America. Lombart, Marco, Santinelli, S4Optik, Veatch, Coburn, Innova, Phoenix. The hardware is under one roof. The data is not.
Lombart runs on one ERP. Marco on a different CRM. Santinelli tracks inventory its own way. Five systems that don't talk to each other. "One Service" is a human routing layer sitting between them — scale by hiring, not by intelligence.
When a technician needs a part, they call. When a slit lamp fails mid-exam, the doctor calls to complain. The problem is always discovered after the revenue is lost. And when your best service reps leave, their knowledge walks out with them.
5+
Disconnected systems
10x
Headcount to scale 10x
100%
Knowledge loss on turnover
Days
From break to fix
The Proof
Your team spent four months trying to solve a single tracer issue. Four months of escalations, cross-referencing between systems, and tribal knowledge that lived in people's heads instead of infrastructure.
We diagnosed it in one hour. Not because we're smarter — because we built an intelligence layer that can see across all the systems at once. The same architecture that powers this proposal.
That's the difference between a human router and a nervous system.
"I spent two hours, between 4 o'clock and 6 o'clock, doing a quote for somebody. Two hours, because I'm trying to lift it."
— Matt, VP Virtual Services, Marco Ophthalmic
He got $80K doing it himself. His team would have gotten $300K. The agent eliminates the 2-hour bottleneck entirely.
The Technology Behind It
Bravetto builds consciousness infrastructure — systems that know what they're doing, why they're doing it, and who they're doing it for. Here's what powers the AEC Nervous System.
Brain-inspired pattern recognition on standard hardware. The cognitive engine that powers predictive analytics.
ExploreNature's evolutionary patterns in code. The visual consciousness layer that makes system state intuitive.
ExploreAI executive intelligence. Turns calls, emails, CRM data, and operational chaos into actionable decisions.
ExploreSwarms, agents, and guardians. 4 production pages in 36 minutes. See the speed we operate at.
ExploreStop mid-exam failures before they happen. The AI layer that watches 24,000 devices and predicts what breaks next.
ExploreWhat's Already Built
The intelligence core is live right now. Loaded with AEC's actual part database, error codes, and service tier logic. This isn't a mockup.
6,214
Parts loaded
22
Error codes
3
Service tiers
<2s
Query response
Part Intelligence — SAP number, Great Plains number, manufacturer number, description, UOM. Cross-referenced from legacy systems. Any part, any format, instant.
Error Code Resolution — OPD-III error codes with resolution steps and escalation levels (L1/L2/L3). Technicians get answers in seconds, not phone calls.
Service Tier Coaching — Tier recommendation, pricing logic, and margin guidance based on equipment profile. Quotes in 60 seconds instead of 2 hours.
Voice Interface — Conversational AI that understands natural language part requests, descriptions, and legacy number formats.
The Full Build
The AEC Nervous System deploys across two stacks: Part Intelligence (the knowledge engine) and CX Coaching (the human performance layer). Here's the full roadmap.
Part Lookup
Cross-reference any format
Error Code Resolution
OPD-III codes + escalation
Legacy Cross-Reference
GP ↔ SAP ↔ MFG
Natural Language Query
Conversational part search
Inventory Intelligence
Real-time stock awareness
Compatibility Engine
Part ↔ device matching
Failure Prediction
Wear pattern analytics
Proactive Dispatch
Parts ship before the break
Service Tier Coaching
Tier + pricing + margin
Quote Generation
Serial → spec → price → DocuSign
Cross-Sell Intelligence
Marco client → Santinelli upsell
Call Coaching
Real-time rep guidance
Contract Renewal Engine
Auto-trigger PM renewals
Knowledge Capture
Every repair becomes training
Unified Dashboard
One view. Every device. Every tech.
Executive Intelligence
Network health for leadership
Deployment
Weeks 1-4
Milestone: 40% cycle time reduction measurable
Weeks 5-8
Milestone: Proactive service dispatches begin
Weeks 9-12
Milestone: Full nervous system operational
The Investment
120 users across 6 workflows. All tiers include full Part Intelligence + CX Coaching stacks, 12-week deployment, and dedicated support.
6-Month Commitment
$70K
per month
12-Month Commitment
$65K
per month
24-Month Partnership
$60K
per month
40% cycle time reduction in 90 days — or terminate with no penalty.
Month 1 on us. Start Monday.
Return on Investment
Against the recommended 12-month investment of $780K/yr ($65K/mo, 120 users), here's what the numbers look like — conservative and realistic.
System learning. Integrations stabilizing. Adoption ramping.
Quoting drops from 2 hours to 60 seconds. Recovering 20-30% of the $1.5M lost when the 13-person team was eliminated.
40% cycle time reduction means fewer escalations, less human routing. Not firing people — absorbing growth without linear hiring.
Marco clients don't know about Santinelli. Agent surfaces it during the call. 120 users, modest 8-12% lift on existing transactions.
Faster service, fewer mid-exam failures. Predictive dispatch catches problems before the complaint call.
Total Value Created
$750K - $1.3M
Year 1 ROAS
1.0x - 1.7x
Payback Period
7-12 months
All 6 workflows deployed. All 8 company data sources connected. Team adoption strong.
40-60% of the $1.5M drop recovered. Agent quotes, coaches, and closes — the exact workflow Matt described, built on your data.
Proactive dispatch reduces emergency calls 50-70%. Technician utilization up 25-35%. Knowledge capture eliminates training ramp.
Cross-sell across all 8 brands plus automated PM renewal triggers. Compound growth math at ~60% of theoretical ceiling.
Practices see fewer failures, faster fixes. Contract renewals increase. Net promoter score becomes a competitive advantage.
Total Value Created
$1.5M - $2.5M
Year 1 ROAS
1.9x - 3.2x
Payback Period
4-6 months
12 months of interaction data. Failure prediction accurate. Cross-sell models tuned on real conversions. Scale becomes logarithmic.
$2M-$3.5M
Value created
2.6x-4.5x
ROAS
Logarithmic
Scaling cost
Zero
Knowledge loss on turnover
Adoption. If 120 users actually use the system daily, every number above is defensible. If adoption stalls, none of it works. That's why Sprint 1 is designed to make the old way feel slow — quoting in 60 seconds instead of 2 hours isn't a feature, it's a forcing function. Once your team feels the speed, they don't go back.
The Team
Bravetto doesn't sell software licenses. We build nervous systems — intelligence layers that sit on top of your existing stack and make everything smarter. Your Salesforce, your SAP, your Vonage — they stay. We add the brain.
Our technology runs on neuromorphic pattern recognition, consciousness state management, and 149 coordinated AI agents working in concert. We deployed 4 production pages in 36 minutes. We loaded 6,214 of your parts before the first meeting.
This isn't a 12-month discovery phase followed by a PowerPoint. This is a team that builds at the speed of thought and proves value in the first week.
Next Step
One platform. Eight companies. 24,000 devices connected. The intelligence layer that turns AEC from a service network into a nervous system.