Discover & Audit
We reviewed CRM records, pipeline stages, data quality, and the workflows causing the biggest gaps.
Autogility Systems rebuilt the firm’s CRM, cleaned outdated data, and automated pipeline management. Giving leadership real-time visibility they could rely on.
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 Duplicate records, outdated information, and stale pipeline stages meant the team had stopped trusting the data.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.
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.
Five priorities focused on rebuilding trust in the firm's CRM and pipeline data.
Clean outdated records and create a reliable data foundation.
Standardize and organize CRM data across the business.
Keep deals, tasks, and follow-ups moving without manual tracking.
Automatically route and assign new opportunities to the right team member.
Give leadership a clear, up-to-date view of the pipeline and forecasts.
Years of inconsistent updates had created duplicate contacts, outdated information, and pipeline stages that no longer reflected reality.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.
We started by fixing the data, then rebuilt the pipeline and automation around how the team actually worked.
We reviewed CRM records, pipeline stages, data quality, and the workflows causing the biggest gaps.
We rebuilt the CRM structure and automated tasks, follow-ups, lead routing, and pipeline alerts.
We configured live dashboards and workflows around the team's process, making the new CRM easier to use and maintain.
Clean Data. Automated Workflows. Real-Time Visibility.
Records stay organized, follow-ups are automatically created, opportunities are routed to the right people, and leadership can see the pipeline in real time.
Remove duplicates, update records, and standardize CRM information.
Keep deals moving with automated stages, alerts, and follow-ups and smart routing
Give leadership real-time visibility into deals, activity, and forecasts.
Clear improvements in data quality, team efficiency, and pipeline visibility.
Advisor Time Reclaimed
Clean, reliable data gave the team and leadership a CRM they could finally trust.
The Shift
See how AI sales automation removes bottlenecks, improves follow-up, and creates a more reliable path to revenue
Duplicate records and outdated information made it difficult for the team to trust the CRM.
We audited, cleaned, enriched, and standardized the data to create a reliable foundation.
Deals often remained in the same stage for months without clear follow-up or visibility.
We rebuilt the pipeline with clear stages, automated tasks, and alerts when opportunities stalled.
Weekly pipeline reporting required hours of manual data collection and spreadsheet work.
We replaced manual reporting with live dashboards that give leadership continuous pipeline visibility.
FAQ
A few common questions around AI automation, implementation, timelines, and what this can actually look like inside your business.
Case Studies
Every custom automation we build is designed around one outcome “Measurable Impact”. Here's
what happens when the right AI systems are implemented in the right businesses.
7-Figure DTC Skincare Brand
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.
Business Process Automation · AI Workflow Automation
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.