Portfolio

Work that moves the needle

Every case study below includes the real problem, what we built, and a specific, verifiable outcome. No vague success stories.

Velocity CRM

B2B SaaS

AI
60% fewer support tickets

Challenge

Their support team was drowning — 1,200 tickets a week, 40% of which were tier-1 questions already answered in the docs. Response times had ballooned to 36 hours. Churn was creeping up.

Solution

We built an AI triage agent that classifies incoming tickets, auto-resolves tier-1 queries with context-aware responses, and routes complex issues to the right specialist with a detailed brief. Integrated directly into their Zendesk workflow.

Outcome

Tier-1 ticket volume dropped 60% in the first month. Median first-response time went from 36 hours to 4 minutes for auto-resolved tickets. Support team reallocated 70% of their capacity to higher-value customer success work.

AI AgentsLLM IntegrationZendesk API
8 weeks3 engineers
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Parkfield Commerce

E-commerce

Web
2 days → 4 hours processing

Challenge

Manual order processing across 4 fragmented systems meant orders took 2 full business days from placement to fulfillment confirmation. Peak season delays were causing $80K+ in monthly cancellations.

Solution

We built a unified order orchestration platform that ingests orders from all channels (Shopify, EDI, B2B portal), validates inventory in real-time, and coordinates fulfillment across 3 warehouses with automatic exception handling.

Outcome

Order-to-fulfillment time dropped from 2 days to under 4 hours. Peak season cancellation rates fell 78%. The operations team went from 8 people manually reconciling systems to 2 people monitoring a dashboard.

Custom SoftwareShopify APIWorkflow Automation
12 weeks4 engineers
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Arclight Capital

FinTech

AI
80% faster compliance review

Challenge

Their compliance team spent 60–80 hours a week manually reviewing loan documents for regulatory compliance. The process was inconsistent across reviewers and created a bottleneck for deal closing.

Solution

We built a compliance review system powered by a fine-tuned LLM trained on their regulatory corpus. The system extracts key clauses, flags non-compliant language, generates a structured review report, and maintains a full audit trail.

Outcome

Document review time reduced by 80%. Reviewer consistency improved measurably — variance in compliance scores dropped from ±22% to ±4%. Deal closing velocity increased 35% quarter-over-quarter.

LLM Fine-tuningDocument AICompliance
14 weeks5 engineers
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Meridian Health Systems

Healthcare

Cloud
99.9% uptime post-migration

Challenge

A 15-year-old patient management system running on aging on-premise hardware. Frequent downtime, no disaster recovery, and compliance risk from outdated infrastructure. Migration had been deferred for 3 years due to perceived complexity.

Solution

We executed a phased cloud migration to AWS, starting with a non-critical read replica to validate the architecture, then a live cutover during a planned maintenance window. Full zero-downtime deployment with automated failover and HIPAA-compliant logging.

Outcome

Zero data loss. 99.9% uptime in the 12 months post-migration. Infrastructure costs reduced 34% through reserved instances and auto-scaling. Compliance audit passed with zero findings. Disaster recovery RTO reduced from unmeasured to under 4 minutes.

AWS MigrationCloud ArchitectureHIPAA Compliance
20 weeks6 engineers
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