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How we scaled our customer journey with WorkOps, automation, and AI

4/28/2026
3 minutes

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.

Veronika Galíková

Veronika is an SEO and content specialist at Easy8. She creates informative, valuable content with a strong focus on data for our website, blog and social media channels.

With over 15 years' experience in marketing, she specialises in SEO, content marketing, marketing strategy and social media. She gained her marketing experience working in various roles at agencies, Footshop and NGOs, from managing SEO projects for clients as a consultant to leading marketing departments.

Her blend of creativity, analytical prowess, and a passion for data-driven strategies enables her to effectively convey marketing messages to Easy8’s audience, who are keen on project management, workflow automations, and AI. In addition to her professional commitments, she champions initiatives that align with the ikigai framework, contributing to the betterment of society.

Frequently asked questions

How do you scale a customer journey without losing the personal touch?
How can automation and AI reduce admin work in customer success?
What is WorkOps and how does it improve the customer journey?

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