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Proof

AI implementation results
from real US SMBs

Three case studies. Three different business types. One consistent outcome: measurable time saved, pipeline built, and growth compounded — with AI.

Professional Services • AI Workflow Automation

How a 45-person management consulting firm cut proposal creation time by 65% using AI workflow automation

Partners were spending 8–12 hours per week creating custom proposals manually from slide templates and past deliverables. The process was slow, inconsistent across partners, and not scalable. We built an end-to-end proposal automation: discovery call notes → AI-generated first draft → branded template → partner review in 20 minutes.

65%
Reduction in proposal creation time
45 min
Avg time per proposal (was 8 hrs)
Same day
Proposal turnaround (was 5 days)
+18%
Win rate improvement
Tools: Make, OpenAI GPT-4o, HubSpot, Google Docs, Notion • Timeline: 30 days
B2B SaaS • AI-Augmented Marketing

How a B2B SaaS company built an AI-powered demand generation engine that tripled inbound pipeline in 90 days

One marketing manager doing everything manually: blogs, emails, LinkedIn, campaigns. Content output was 2 blogs/month. Pipeline from inbound was minimal and inconsistent. We rebuilt the entire marketing operation with AI: content production system, AEO-optimized articles, AI-personalized email sequences by ICP segment, and automated campaign reporting.

5x
Content output (2 to 10 pieces/month)
3x
Inbound leads in 90 days
+40%
Email open rates after AI personalization
10 wks
To appear in ChatGPT answers
Tools: Claude 3.5, HubSpot, Smartlead, Surfer SEO, Make, Airtable, Looker Studio • Timeline: 60 days
Field Services SMB • Operations Automation

How an 80-person field services company automated customer inquiries, CRM updates, and reporting — saving 22 hours per week

Customer service team manually handled 150+ inquiries/week via email and phone. CRM was updated inconsistently. Weekly ops report took 4 hours to compile every Monday. We built three parallel AI workflows: AI inquiry triage and response drafting, automated CRM updates from email and call summaries, and an automated weekly ops report pulling from 4 data sources.

22 min
Avg response time (was 6 hours)
91%
CRM completeness (was 54%)
15 min
Weekly reporting (was 4 hours)
22 hrs
Saved per week across the team
Tools: Make, n8n, OpenAI GPT-4o, Salesforce, Google Sheets, Looker Studio • Timeline: 30 days
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