Professional Services

How a Consulting Firm Built a CRM Their Team Could Finally Trust

Autogility Systems rebuilt the firm’s CRM, cleaned outdated data, and automated pipeline management. Giving leadership real-time visibility they could rely on.

EXECUTIVE SUMMARY

The Big Picture

The firm's CRM had gradually become unreliable. Duplicate records, outdated information, and stale pipeline stages meant the team had stopped trusting the data.

Leadership was relying on spreadsheets and manual reporting to understand the pipeline and forecast revenue.

Autogility Systems rebuilt the CRM from the ground up, cleaned the data, automated key workflows, and created real-time dashboards the team could finally rely on.

CLIENT PROFILE

Management Consulting Firm

A mid-sized management consulting firm serving enterprise clients across the United States.

The team had been using the same CRM for three years, but inconsistent updates and poor data quality had turned it into more of a contact list than a reliable revenue management system.

Founded Not Publicly Available
Headquarters United States
Employees 18 Professionals
Industry Management Consulting
Focus Enterprise Clients
Customers Enterprise Businesses
PROJECT OBJECTIVES

Goals & Objectives

Five priorities focused on rebuilding trust in the firm's CRM and pipeline data.

Goals & Objectives

Improve Data Accuracy

Clean outdated records and create a reliable data foundation.

01

Eliminate Duplicate Records

Standardize and organize CRM data across the business.

02

Automate Pipeline Management

Keep deals, tasks, and follow-ups moving without manual tracking.

03

Improve Lead Management

Automatically route and assign new opportunities to the right team member.

04

Create Real-Time Visibility

Give leadership a clear, up-to-date view of the pipeline and forecasts.

05
The Challenge

The Team Had a CRM, But Couldn’t Trust It

Years of inconsistent updates had created duplicate contacts, outdated information, and pipeline stages that no longer reflected reality.

The team stopped relying on the CRM, while leadership had to combine spreadsheets, manual reports, and individual updates to understand the pipeline.

The Team Had a CRM, But Couldn’t Trust It
40%
OUTDATED CRM RECORDS Before Autogility
Our Blueprint

Building a CRM the Team Could Rely On

We started by fixing the data, then rebuilt the pipeline and automation around how the team actually worked.

01

Discover & Audit

We reviewed CRM records, pipeline stages, data quality, and the workflows causing the biggest gaps.

02

Custom AI Implementation

We rebuilt the CRM structure and automated tasks, follow-ups, lead routing, and pipeline alerts.

03

Integration & Training

We configured live dashboards and workflows around the team's process, making the new CRM easier to use and maintain.

The Platform

A CRM Built Around How the Team Works

Clean Data. Automated Workflows. Real-Time Visibility.

AI-DRIVEN OPS

The new CRM became a reliable system for managing opportunities instead of another manual task for the team.

Records stay organized, follow-ups are automatically created, opportunities are routed to the right people, and leadership can see the pipeline in real time.

Data
90%
Accuracy
Time
4 HRS
Saved Per Team Member Weekly

Core capabilities

Core capabilities

Clean Data Foundation

Remove duplicates, update records, and standardize CRM information.

Automated Pipeline Management

Keep deals moving with automated stages, alerts, and follow-ups and smart routing

Live Pipeline Dashboards

Give leadership real-time visibility into deals, activity, and forecasts.

Measurable Outcomes

Impact Metrics & Key Results

Clear improvements in data quality, team efficiency, and pipeline visibility.

Performance vs. Industry Avg

Advisor Time Reclaimed

Data Accuracy
Realized Rate: 90% Industry Avg: 60%
Pipeline Visibility
Realized Rate: 100% Industry Avg: 65%
Reporting Time Saved
Realized Rate: 100% Industry Avg: 50%
Manual Admin Reduced
Realized Rate: 67% Industry Avg: 35%

90% DATA ACCURACY

Clean, reliable data gave the team and leadership a CRM they could finally trust.

Data Management 40%
Pipeline Automation 35%
Reporting & Visibility 25%

The Shift

Here’s What Actually Changes When Your
Sales Process Is Automated with Autogility

Manual Way

  • Outdated and duplicate CRM records
  • Pipeline stages left unchanged for months
  • Follow-ups dependent on manual reminders
  • Leads waiting to be assigned
  • Leadership relying on spreadsheets and manual reports

With Autogility Systems

  • Clean, standardized CRM data
  • Automated pipeline updates and stall alerts
  • Tasks and follow-ups created automatically
  • New leads routed to the right team member

PROBLEM SOLVING

Challenges & Resolution

01 Resolved

Unreliable CRM Data

The Challenge

Duplicate records and outdated information made it difficult for the team to trust the CRM.

Our Resolution

We audited, cleaned, enriched, and standardized the data to create a reliable foundation.

02 Resolved

Stale Pipeline Management

The Challenge

Deals often remained in the same stage for months without clear follow-up or visibility.

Our Resolution

We rebuilt the pipeline with clear stages, automated tasks, and alerts when opportunities stalled.

03 Resolved

Manual Reporting

The Challenge

Weekly pipeline reporting required hours of manual data collection and spreadsheet work.

Our Resolution

We replaced manual reporting with live dashboards that give leadership continuous pipeline visibility.

FAQ

What Most Businesses Want to
Know Before Getting Started.

Can you improve an existing CRM without starting from scratch? +
Yes. The first step is identifying what is broken in the data, workflows, and pipeline before deciding what needs to be rebuilt.
How do you improve CRM data accuracy? +
By auditing existing records, removing duplicates, standardizing information, and automating processes that keep data updated.
Can CRM automation improve follow-up? +
Yes. Tasks, reminders, and escalation workflows can be created automatically based on pipeline activity.
Can leadership see the pipeline in real time? +
Yes. Live dashboards can provide up-to-date visibility into pipeline value, deal activity, and revenue forecasts.

Case Studies

Where AI Starts Creating Real
Business Impact

E-Commerce

7-Figure DTC Skincare Brand

71% of Customer Support Tickets Resolved Automatically with AI

Deployed a custom AI support agent trained on the full product catalog, FAQs, and policies. Integrated with helpdesk platform, built smart escalation routing, and added proactive post-purchase communication flows to reduce inbound volume.

71% OfTickets Auto-Resolved
3 MinutesAverage First Response Time
28 HoursReclaimed by the Team Each Week
icon
Home Services

Business Process Automation · AI Workflow Automation

From Quote to Booking: One Automated Workflow Across Four Locations

A multi-location home services company with four separate manual processes, an overwhelmed admin team, and an owner fielding daily operational problems. After automation, admin hours dropped 78%, quote-to-booking fell from 3 days to 5 hours, and the business saved $67K annually.

78%Admin Hours Saved
Under 5 HoursFrom Quote to Booking
$67KAnnual Overhead Saved
icon