Case Studies

The Challenge

The company had achieved product-market fit connecting commercial property managers with licensed HVAC, electrical, and plumbing contractors. Growth was blocked by a fundamental unit economics problem: each incremental $100K in GMV required roughly one additional operations hire to manage matching, compliance verification, and dispute resolution. The founding team projected a 9-person ops function at $3M ARR — a margin profile incompatible with venture expectations.

The Intervention

Vizion AI designed and deployed an agent-orchestrated operations layer that handles contractor onboarding, credential verification, job matching, work order generation, milestone tracking, and invoice reconciliation. A multi-agent workflow routes exceptions — disputes, cancellations, compliance flags — to a priority queue requiring human judgment only. The platform scales to 10x current GMV volume without additional headcount.

Outcomes

The Challenge

Three licensed producers were collectively spending 6.2 hours per day re-keying policy data across seven carrier portals — a task that generated zero revenue and introduced material error risk. At $68/hour fully-loaded cost, the firm was absorbing $187,000 annually in pure transcription overhead. Manual error rates averaging 3.6% were triggering premium miscalculations and compliance exposure on commercial lines.

The Intervention

Vizion AI built a five-stage automation pipeline: document ingestion via OCR, structured data extraction using a fine-tuned extraction agent, multi-field validation against carrier schemas, bidirectional CRM sync, and automated renewal trigger creation. The system processes submissions from email, fax-to-PDF, and direct carrier feeds. Exceptions are flagged with confidence scores and routed for 90-second human review.

Outcomes

The Challenge

At $4.20 cost-per-ticket and 73% of inbound volume consisting of order status, return initiation, and policy clarification requests, the brand's support function was consuming 11% of gross margin. Seasonal spikes required temporary staffing that degraded response times and CSAT. The economics were structurally incompatible with scaling beyond $8M annual revenue without a disproportionate investment in headcount.

The Intervention

Vizion AI deployed a tiered support agent with real-time order system access, automated return and exchange initiation, dynamic FAQ resolution, and confidence-based escalation routing. The agent maintains conversation context across sessions, handles multi-item order complexity, and integrates directly with the brand's 3PL for live shipment status. Human agents receive pre-summarized escalation packets, reducing handle time on complex cases by 61%.

Outcomes

The Challenge

The company's two founders were personally managing all outbound marketing alongside product and sales responsibilities. Social media presence was inconsistent — weeks would pass without posts during sprint cycles, and engagement on LinkedIn, X, and Instagram was declining as a result. A single marketing contractor had been tried and dismissed after three months; output was generic and disconnected from the product roadmap. The team needed a consistent, on-brand content engine that required near-zero human involvement to maintain.

The Intervention

Vizion AI deployed a multi-agent marketing system anchored to the company's actual product activity. A content strategy agent monitors the product changelog, blog RSS, and competitive signal feeds daily and generates a weekly content calendar with platform-specific angles. Separate generation agents produce copy and visual briefs for LinkedIn, X, and Instagram — each trained on the brand's existing high-performing posts. A scheduling agent queues approved content through the publishing APIs. A performance loop agent reviews engagement metrics weekly and feeds signal back into the strategy agent's next planning cycle. Founders approve a single weekly content brief in under five minutes; everything downstream is autonomous.

Outcomes

The Challenge

The retailer's omnichannel expansion was stalled by catalog quality. Sixty-one percent of SKUs had incomplete attribute sets, inconsistent descriptions across POS and supplier feeds, and no SEO-optimized copy for the e-commerce launch. Manual enrichment at current resource levels projected a 14-week preparation timeline — unacceptable against a competitive launch window. Third-party enrichment vendors quoted $8.40 per SKU with no ongoing automation.

The Intervention

Vizion AI built an end-to-end enrichment pipeline: supplier data ingestion from EDI and CSV feeds, structured attribute extraction, LLM-driven description generation calibrated to brand voice, compliance validation against channel-specific schemas, and automated PIM sync. The pipeline runs on a nightly schedule, processing new and updated SKUs without manual intervention. Product pages are generated with structured data markup for search discoverability.

Outcomes