Real Results. Real Orgs. Real Fast.

Every number below comes from an actual engagement. Company names are anonymized. The outcomes are not.

200-person B2B SaaS

The Pipeline Nobody Trusted

Pipeline & Forecasting Buildout

$1,999

5 business days

70%91%

Forecast Accuracy

Months48 hrs

Stalled Deal Detection

Three people gave three different pipeline numbers. Forecast was off by 25–30% every quarter. Reps gamed stages to inflate their numbers. The VP of Sales had stopped using the Salesforce dashboard entirely and was running the forecast from a Google Sheet.

  • 7 pipeline stages replaced with 5 stages + enforced exit criteria
  • 5 new dashboards: pipeline by stage, stalled deals, rep performance, forecast vs actual, conversion rates
  • Stalled deal alert Flow: reps notified automatically when a deal goes 14+ days without activity
  • Validation rules prevent stage advancement without completing required fields

"The Google Sheet forecast is dead. The VP checks the Salesforce dashboard every morning."

150-person Financial Services

The Support Team That Couldn't Keep Up

Support Operations Overhaul

$2,499

7 business days

6 hrs47 min

First Response Time

Unknown94%

SLA Compliance

3.24.4

CSAT Score (out of 5)

Average first response time was 6+ hours. Cases sat in a single general queue. No SLA tracking. No routing logic — agents cherry-picked easy cases. Customer complaints were increasing quarterly.

  • Omni-Channel routing enabled with skills-based assignment
  • 4 queues created: Billing, Technical, Account Management, Escalation
  • SLA milestones configured with automated warning at 80% and escalation at breach
  • CSAT survey automation: survey sent 24 hours after case closure
  • Agent performance dashboard deployed

"Case resolution time dropped 40% in 60 days."

300-person Healthcare Company

The Data Cleanup That Saved $28,000/Year

Salesforce Health Check & Cleanup

$2,999

10 business days

18%2.1%

Duplicate Rate

8%1.2%

Email Bounce Rate

$0$27,720

Annual License Savings

12,000+ duplicate Contacts across the database. Marketing emails bouncing at 8%. Reps creating new Contacts instead of finding existing ones because search returned too many results. Nobody trusted the customer count.

  • 12,000 duplicate Contacts identified, 8,400 merged
  • Duplicate detection rules activated (phased: Alert → Block over 4 weeks)
  • Validation rules added: email format, phone length, required fields on Opportunity
  • Data health monitoring dashboard deployed
  • 11 unused licenses identified and deactivated ($2,310/month savings)

"The cleanup literally paid for itself 9x over in year 1 from license savings alone."

250-person Manufacturing Company

The AI Audit That Replaced a $40K Consulting Engagement

AI Org Audit & Report

$1,999

48 hours

$28K–$42K$6,497

Total Spend (vs. consultant quotes)

10 weeks15 days

Time to Completion

023

Issues Identified

Salesforce had been running for 5 years with minimal governance. Previous admin left. Current team knew something was wrong but didn't know what or where to start. Got three consulting quotes: $28K, $35K, and $42K with 8–10 week timelines.

  • 23 issues identified across data quality (4/10), security (5/10), automation (6/10), and adoption (7/10)
  • 3 critical security findings: 14 users with unnecessary Modify All Data permission, no FLS on financial fields, 22 inactive users with active access
  • 47 broken or redundant automations (8 actively conflicting)
  • 340+ unused custom fields across 5 objects
  • Prioritized 30/60/90 day action plan with step-by-step fix instructions

"We saved $21,503 and finished in 15 business days instead of 10 weeks."

120-person B2B Software Company

The Marketing Team Landing in Spam

Marketing Automation Setup

$1,999

7 business days

11%31%

Email Open Rate

LowHigh

Google Postmaster Score

0340

Net-New MQLs from Re-Engaged List

Email open rates dropped from 28% to 11% over 6 months. Marketing was told to 'fix the content' but the problem was technical: SPF was misconfigured (two conflicting records), DKIM was never set up, and DMARC didn't exist. Every email was failing authentication silently.

  • SPF consolidated to single record covering all 4 sending services
  • DKIM configured and verified for Pardot and Google Workspace
  • DMARC deployed (started at p=none, moved to p=quarantine after 3 weeks)
  • Lead scoring model implemented: engagement + firmographic scoring
  • 2 nurture journeys configured and activated
  • Attribution dashboard showing campaign influence on closed revenue

"Marketing could finally prove which campaigns drove closed revenue."

Pick your outcome. We'll deliver it.