These are the results our clients see — not estimates, not projections. Real numbers from real AI implementations.
A mid-sized manufacturing company with 3 facilities was spending 20+ hours per week on manual production reporting. Managers pulled data from 4 different systems into spreadsheets, and reports were always 2-3 days delayed. Decisions were made on stale data.
We built an automated data pipeline connecting their production management software, ERP, and quality tracking system to a central BI dashboard. A weekly AI-generated report is automatically sent every Monday morning with key insights and anomaly flags.
A professional services firm with 12 salespeople was losing deals because lead follow-up was inconsistent. Inbound leads sometimes waited 48+ hours for a response. CRM data was incomplete, and the pipeline was difficult to forecast accurately.
We built an automated lead routing system in their HubSpot CRM with immediate email acknowledgment, same-day rep assignment, 5-touch follow-up sequences, and automated deal stage tracking with Slack alerts for stalled deals.
A growing e-commerce brand was publishing content inconsistently, running campaigns manually, and had no way to analyze what was working. Their 2-person marketing team was overwhelmed and campaign quality was declining.
We built a complete AI marketing engine: automated content calendar, AI-assisted copy generation, social media scheduling, email sequence automation, and a performance dashboard tracking ROAS, open rates, and conversion by channel.
A 25-person consulting firm had years of project reports, research, and client documentation spread across SharePoint, email, and local drives. Consultants wasted 2-3 hours daily searching for past work and reinventing analysis that had already been done.
We built a custom internal AI knowledge assistant that ingests all company documents and allows consultants to query in plain English. The system surfaces relevant past reports, extracts key data, and generates draft summaries — in seconds.
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