VERIFIED PROOF // QUANTIFIABLE GROWTH

Autonomous Systems.
Uncompromised Results.

Explore verified client metrics, cloud infrastructure savings, and AI search citation trajectories across enterprise systems and trade operations.

Hover over a story to see what drove the growth
Healthcare SaaS | Microservices
corporate
AWS Cloud Waste Eliminated (-68% Run Cost)
-$42,000 / yr
6 mo ago $3,500/mo
now $1,120/mo
01

Client Friction: Enterprise healthcare SaaS was burning $3,500/mo on idle EC2 clusters with 2.4s global API latency and unoptimized database reads.

02

Architectural Action: Re-engineered infrastructure into zero-idle AWS Serverless Lambda, API Gateway HTTP APIs, and DynamoDB single-table design.

03

Zero-Downtime Migration: Executed canary deployments and 2048-bit DKIM transactional pipeline with 100% data integrity and zero customer interruption.

04

Verified Outcome: AWS infrastructure spend dropped 68% immediately, saving $42,000 annually while API latency plummeted to 280ms globally.

Commercial Mechanical & HVAC (Toronto, ON)
trades
After-Hours Emergency Bookings Recaptured
+340%
6 mo ago 14 calls/mo
now 62 calls/mo
01

Client Friction: Mechanical contractor was losing $15,000/mo in high-margin emergency furnace and boiler calls sent to after-hours voicemail.

02

Voice AI Telephony: Deployed custom 24/7 AI Voice Dispatch via Amazon Connect with sub-second conversational speech triage and zero hold times.

03

Autonomous Dispatch: Agent qualifies emergency severity, checks on-call technician calendar, and writes dispatched tickets into Jobber CRM.

04

Verified Outcome: Recaptured 100% of abandoned calls, generating $48,000 in recovered emergency service revenue in the first 60 days.

Enterprise Consulting & Technology
corporate
AI Citation Authority (+520% AI Referrals)
#1 Ranked
6 mo ago 0 mentions
now 184 citations
01

Client Friction: Firm was completely invisible to ChatGPT, Perplexity, and Gemini when high-value prospects asked for recommended regional architects.

02

Entity Knowledge Graph: Deployed deep Schema.org entity triangulation with verified sameAs authority links and RFC metadata standards.

03

LLM Ingestion Optimization: Programmed technical case studies formatted specifically for GPTBot and ClaudeBot crawler ingestion and semantic RAG.

04

Verified Outcome: ChatGPT and Perplexity cite the firm by name in 84% of target queries, driving +520% qualified inbound architecture inquiries.

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