How we scaled our customer journey with WorkOps, automation, and AI
Most teams manage work in silos. Information gets lost between handovers, clients repeat themselves, and nobody owns the full picture. Here is how Easy8 used WorkOps to fix that, with real numbers.
Table of contents
Silos were killing our client experience
Real automations across the journey
Acquisition: automated handovers from sales
Onboarding: saving 327 hours per quarter
Active phase: prepared, not reactive
Start small, connect everything
TL;DR
By applying the WorkOps framework to our customer journey, Easy8 achieved a 382% increase in proactive client reach, 40% more structured client meetings, 50+ upsell opportunities driven by Customer Success, and saved 327 hours of admin work in a single quarter. All without reducing focus on other responsibilities.
Silos were killing our client experience
Before WorkOps, our customer journey existed but was not connected. Sales, consulting, and support each worked with their own tools, processes, and priorities. Handovers were inconsistent. Feedback was disconnected. Ownership was unclear.
For our Customer Success team, a client call was routine. For the client, it meant repeating the same information they had already shared with sales. The result was slower onboarding, lost context, and an inconsistent experience.
WorkOps changed that. Rather than replacing what we already had, it connected it. We mapped the entire customer journey end to end, identified the biggest gaps, and started linking what we were already doing in a more structured way.
Real automations across the journey
Acquisition: automated handovers from sales
Our consultants often started projects without full context because account managers captured information inconsistently. We solved this with a set of workflows:
- Every client-facing meeting is recorded by Lexi, our AI notetaker. Transcripts are refined through AI and logged as sales activities automatically
- When a deal closes, a workflow gathers all opportunity data, sales activities, and account information, then feeds it to AI agents that generate a structured handover task
- The handover includes key contacts, client goals, current situation, milestones, risks, and notes for the consultant
Consultants now walk into kickoff meetings knowing what the client actually needs, without asking questions the client already answered.
Onboarding: saving 327 hours per quarter
We built a workflow that processes every client-facing meeting automatically. It takes the transcript, enriches it with attendee and account data, categorises the call type, and generates structured notes on the correct task. The team had 674 meetings last quarter. At roughly 30 minutes per note, that is 327 hours of admin work eliminated in three months. For a team of 10 people, that is two months of capacity freed up.
We also automated onboarding communications. Clients receive a series of weekly emails with tips and key information from their onboarding sessions. After onboarding, automated check-up emails gauge how the client feels about their progress. This alone helped us catch several clients whose internal adoption was stalling, before they considered leaving.
Active phase: prepared, not reactive
In the active phase, we automated meeting preparation. A weekly workflow checks which clients have not been contacted in over 90 days and creates prioritised task lists for each Customer Success Manager. It then gathers all account data, open tickets, sales activities, and consulting tasks, and runs them through AI agents that produce structured briefing notes with risks, unresolved issues, and recommended actions.
Every meeting now starts with full context. No scrambling through CRM records. No surprises.
Start small, connect everything
If you take one thing from our experience, it is this: do not start with individual tools or teams. Start by understanding the full scope of what you do. Map each phase. Identify who is involved, what tools are used, and where the gaps are. Then improve one thing at a time.
We also keep humans in the loop for AI safety. Before any AI-generated content reaches our CRM, the responsible person reviews and approves it. Nothing changes without express authorisation.
Want to see these workflows in action? Watch the full webinar recording on the Easy8 YouTube channel.



