How Kojo Increased Ticket Deflection from 0% to 50% Using Pluno’s Deflection AI
How Kojo's 5-person team went from drowning in 1,000+ monthly tickets to 50% deflection with Pluno AI on Zendesk.
Sarala Conlan
Sr. Customer Support Manager at Kojo
Published
Interview by Syed Ali, Sales & Marketing Manager at Pluno
Core Challenges
- 5-person team overwhelmed by 1,000+ monthly tickets with no redundancy
- Engineering escalations piling up due to slow, manual Jira ticket creation
- No deflection: every ticket hit the queue, including repeat questions
- International agents struggling to write rich English responses at speed
- Sudden loss of an agent pushed an already stretched team to the edge
Solutions
- Deflection AI catches repeat tickets before they reach agents
- Escalation Copilot auto-fills Jira tickets and syncs updates back to Zendesk
- AI Copilot suggests context-rich responses, helping agents stay on top of queues
- Language support accelerates new hires, cutting weeks off the onboarding curve
- AI capacity absorbed the missing agent’s workload immediately, no hiring delay
Key Results at a Glance
Before Pluno
0% Deflection
With Pluno
50%
Ticket Deflection Rate
Before Pluno
Days-Long Backlog
With Pluno
Same Day
Jira Escalation Time
Before Pluno
Weeks to Ramp
With Pluno
40% Faster
New Hire Onboarding
Before Pluno
Language Gaps
With Pluno
Solved
No More Language Barriers
High Volume, High Complexity, Zero Buffer
Kojo is a 6-year-old construction procurement platform serving contractors and commercial builders across materials management and supply chain operations. With around 200 employees, the company has grown from a startup to a significant player in construction tech, helping teams streamline procurement workflows in an industry known for complexity and tight deadlines.
At the heart of their customer experience is a 5-person support team led by Sarala Conlan, managing well over 1,000 tickets per month for a complex, multi-feature product. Before Pluno, they were stretched to the breaking point.
Kojo’s support team faces a unique combination of pressures. Their product spans multiple features and product areas, which means the team encounters a wide range of questions: some repetitive, many never seen before. They even use an internal AI tool connected to their GitHub codebase just to help agents navigate product knowledge.
But product complexity was something they could manage. What they couldn’t manage were these compounding bottlenecks:
- Overwhelmed team: 5-person team overwhelmed by 1,000+ monthly tickets with no redundancy
- Slow escalations: Engineering escalations piling up due to slow, manual Jira ticket creation
- No deflection: No deflection: every ticket hit the queue, including repeat questions
- Language barriers: International agents struggling to write rich English responses at speed
- Lost capacity: Sudden loss of an agent pushed an already stretched team to the edge
“We unexpectedly had someone leave our team, we were down an agent and really needed extra hands.”
Sarala Conlan, Sr. Customer Support Manager
An AI Layer That Sits on Top of Zendesk and Actually Works
Kojo needed help on multiple fronts: deflecting simple tickets, streamlining escalations to engineering, and supporting agents through complex troubleshooting and language barriers. They found that in Pluno, not as a replacement for their existing stack but as an intelligent layer that integrates directly with it.
Here’s how each piece of the solution works from the support team’s perspective:
“The way Pluno streamlines back-and-forth communication, I haven’t seen it in any other AI tools we’ve explored.”
Sarala Conlan
What Pluno delivered
Deflection AI catches repeat tickets before they reach agents
Since implementing Pluno’s Deflection AI in October 2024, hundreds of tickets each month never reach an agent’s queue.
Escalation Copilot auto-fills Jira tickets and syncs updates back to Zendesk
Instead of agents manually filling out multiple fields, Pluno does it automatically with two-way Zendesk–Jira integration.
AI Copilot suggests context-rich responses, helping agents stay on top of queues
New agents see suggested responses that are rich in context and properly formatted in English.
Language support accelerates new hires, cutting weeks off the onboarding curve
The AI Copilot serves as both a training tool and a writing assistant within Zendesk.
AI capacity absorbed the missing agent’s workload immediately, no hiring delay
For a team with no redundancy, AI deflection wasn’t a nice-to-have optimization; it was emergency capacity.
“For a team with no redundancy, AI deflection wasn’t optimization: it was emergency capacity.”
Sarala Conlan
A Team That Can’t Imagine Going Back
The impact has been immediate and measurable.
Ticket Deflection Rate
- Before Pluno
- 0% Deflection
- With Pluno
- 50%
Jira Escalation Time
- Before Pluno
- Days-Long Backlog
- With Pluno
- Same Day
New Hire Onboarding
- Before Pluno
- Weeks to Ramp
- With Pluno
- 40% Faster
No More Language Barriers
- Before Pluno
- Language Gaps
- With Pluno
- Solved
0% Deflection → 50% Ticket Deflection Rate
Before Pluno, there was zero deflection: every ticket hit the queue, including repeat questions. Sarala now reviews Pluno analytics weekly and sees Deflection AI consistently handling 30–50% of tickets, with peaks above 50%. For a 5-person team handling over 1,000 tickets monthly, that translates to hundreds of tickets that never reach an agent. The impact goes beyond operations: reduced workload helps prevent agent burnout on a busy, lean team.
Days-Long Backlog → Same Day Jira Escalation Time
Escalations that used to sit in backlogs for days (waiting for an agent to find time to manually fill out all the fields) are now created the same day. The engineering team notices the difference too: the Jira tickets Pluno creates are detailed, complete, and ready for developers to act on immediately.
Weeks to Ramp → 40% Faster New Hire Onboarding
The AI Copilot has compressed the learning curve, particularly for agents where English isn’t their first language. New team members can maintain response time standards within their first few weeks, supported by context-rich suggested responses, something that previously took much longer to develop.
Language Gaps → Solved No More Language Barriers
With all customers based in the U.S. but an international support team, language was a persistent hurdle. The AI Copilot’s suggested responses in fluent, context-rich English removed this barrier entirely, letting agents focus on solving problems rather than struggling with phrasing.
Still Stretched, But Not Drowning
Sarala is candid: the team is still busy. High ticket volume means the time savings don’t translate to agents having extra free time. But without Pluno, the team simply wouldn’t be managing. As Sarala puts it: they would “probably be absolutely drowning” without the extra help.
“Without Pluno, we’d probably be absolutely drowning.”
Sarala Conlan
Test It, You’ll See the Difference
When asked what she’d tell another support leader considering AI, Sarala’s advice is practical. There are options everywhere: some let you write your own LLMs, some offer basic chatbot functionality. But what sets Pluno apart, in her view, is the depth of integration with existing tools like Zendesk and Jira: automatic ticket updates, precise follow-ups, and smoother collaboration between support and engineering.
Her recommendation: take advantage of demos and trial periods. For Kojo, the proof was in the product. Once the team saw what Pluno could do, the decision was easy.
“My team is, like, a huge fan. They feel like they could not live without Pluno now.”
Sarala Conlan, Sr. Customer Support Manager
The full interview with Sarala Conlan
Sarala Conlan, Sr. Customer Support Manager at Kojo, in conversation with Syed Ali, Sales & Marketing Manager at Pluno. Lightly edited for readability: filler words and false starts are removed, the wording is as spoken.
Read the transcriptHide the transcript13 chapters, 1,767 words
Introduction to our B2B SaaS company
Sarala Conlan
So, we're a B2B SaaS company with a really small support team that I manage. There's five of us in total, including myself, on the support team. We do well over a thousand tickets a month, so high volume, small team, and managing a pretty complex product as well, with lots of different features and different product areas that go into it as well.
Challenges before AI implementation
Syed Ali
And if you were to name one of the biggest problems that you were experiencing before you started looking for any AI solutions, what would that be?
Adopting Pluno for AI solutions
Sarala Conlan
Yeah, time. Agent time especially. We really like the functionality with Pluno to be able to use AI to create Jira tickets when we're escalating to our engineering team, and also the Deflection Agent functionality. Both of those save a huge amount of time for the agents, and like I mentioned, it's a small team. So that's a big impact.
Manual processes before Pluno
Syed Ali
And how were you doing it before Pluno?
Sarala Conlan
Just manually, no deflection agent. We use Zendesk. We did try their one that comes with the plan. It's really basic, but it wasn't quite for us. So we didn't have any type of chatbot that was helping with any of our tickets.
We were also completely by hand filling out all of our fields for Jira tickets.
Impact of Pluno on ticket management
Sarala Conlan
When we escalate to engineering, we have a really high bar of making sure that that Jira ticket includes a lot of really relevant information, so that when a developer takes a look, they can solve it as quickly as possible. So there are a lot of fields that, if you are escalating to Jira, do need to be filled in.
So doing that manually by hand takes a long time. And when you're a small team and you have a lot of tickets coming in your queue, setting aside the time and being able to handle that while handling your response metrics to all the other tickets, it takes a lot.
Handling repeat and unique questions
Syed Ali
Do you also get a lot of repeat questions?
Sarala Conlan
Yes and no. Since we've implemented the Deflection Agent, we're not seeing those as much in the ones that our live agents are handling. We do have a complex product. Any type of question that could be imagined that could be asked, we get.
Yes, now and then there are some repeat questions. We have help center documentation that makes it really easy to send to folks, but we do get a lot of questions that we've never seen before every day.
Syed Ali
And before, were you using any other tool for deflection?
Sarala Conlan
Not for deflection, no.
Internal AI tools and complex product management
Sarala Conlan
We have internal AI tools that we use, but nothing that's customer-facing. It is a really complicated product. So we are still using an internal AI tool as well that connects to our GitHub, our code, which we really treat kind of as our source of truth with such a complex product. So when we get really strange questions and really nuanced things that people are reaching out about, it's a helpful tool for that.
Time efficiency with Pluno
Syed Ali
And time-wise, how long did it take you to handle a ticket before versus now?
Sarala Conlan
Yeah, that's tricky, right? Because it's going to depend on the ticket subject matter. But if we're looking at something that's complex, that involves escalation to engineering and a lot of deep troubleshooting by maybe our technical support team, previously that could easily go into someone's backlog because of how much time it takes to make the ticket, and take an extremely long time to actually fully escalate that to Jira.
Now with Pluno, we're able to escalate things to Jira that same day. Nothing's going in the backlog when we're just waiting to make a ticket. We're not waiting on: do I have the time to take away from my queue to actually fully make this ticket for engineering?
I know that there's other AI tools that you can use, agents to be able to maybe fill in the fields, right, that we have for our Jira tickets, but Pluno has this extra integration where, when we create the ticket with Pluno, it's already connected to the Zendesk ticket. And we love that Pluno's automatically commenting on the ticket if the customer is asking for updates. We're getting internal comments on the Zendesk ticket from Pluno when the Jira ticket is updated. That back and forth communication is huge, and I haven't seen it personally in any other AI tools that we've explored.
Additional Pluno modules
Syed Ali
Are you using any other module besides deflection and the Escalation Copilot?
Sarala Conlan
We are. So also the internal copilot that's available, that is really helpful, especially for new hires, when we're maybe a little bit stuck on what should my next troubleshooting step be. It's really helpful when I'm maybe at a loss for what else I can possibly do to troubleshoot an issue before I escalate it to our technical team. I always give it a look, like maybe it has a suggestion that I haven't tried yet, and that's helpful.
Pluno's impact on new hires and international team
Sarala Conlan
We have two new agents that joined recently. I do see it help them with their response times, especially because we're an international team. So some of our agents, English isn't their first language, but all of our customers are in the United States, so English is their first language. So we communicate to them in one language. So having them being able to see suggested responses that are rich in context is really helpful when they're starting to learn, to still be keeping up with those response times.
I check weekly on the Pluno analytics to see what the Deflection Agent is doing, and it's really huge. I mean, consistently, I've never seen it go below 30%, and sometimes I've seen it even go slightly above 50%. Those are really great percentages to see, especially because my team is tight and we're always really busy. So to be able to know that, hey, this huge percent of tickets we didn't have to touch is really reassuring.
That's a huge impact. Even just thinking about the well-being of my agents and how they're able to just not reach burnout, things like that. That's really big for our team. And then having those moments where we're able to create really rich, detailed Jira tickets for our engineering team that are appreciated by them, and we're not getting tickets into our backlog because we have to escalate to engineering and we have such a complex ticket form that we need to fill out, is huge for my agents as well. It just saves an inordinate amount of time.
Customer interaction with AI agent
Syed Ali
And how is it for your customers when they interact with the AI agent?
Sarala Conlan
Yeah, it's maybe a little bit of a rocky start for them. We serve construction companies, so they're a little bit old school. They're pretty hesitant to technology and change as a personality type. So I know some of them just don't like the idea of interacting with an AI agent. So that was a little bit of something to get them used to.
I think it just comes with time and trust in interacting with the agent to see that they can get their answers. I think, honestly, I've seen them warm up to it. I did set up a workflow with Pluno that if they just type the word 'human' and they're clearly requesting to talk to someone, it'll just pass it to us right away. Giving them that out is nice, because then they feel like, okay, I don't have to interact with this AI agent if I don't want to. But building trust is really big.
I've seen them even type out really great feedback to the agent, which is nice to see. For those people who maybe didn't realize, even though it's labeled very clearly this is a chatbot, that they were interacting with an AI agent, or maybe they were apprehensive, but they were asking a question while they're in the middle of their workday, they just need an answer and they got some really good, quick information, I think that's really encouraging for them to change their mind on it. If there's people who are still hesitant, I think that showing them that they're going to get fast, accurate, helpful information is the best way to change their mind.
Team's response to AI integration
Syed Ali
What was the response from your team's side? Were they excited about it? Did they have any reservations? And how did it go then?
Sarala Conlan
Yeah, I think that a lot of folks had questions about how is this going to work? What's going to happen to these tickets? How do we handle them? What does it look like when it comes over? But nobody was too worried about it.
We were especially in a moment where we had unexpectedly had someone leave our team. So we were down an agent and we really just needed extra hands. So at that time, people were really excited to be able to understand that, hey, a percentage of your tickets, you're not even going to have to touch. They were all on board.
We're still such a small team and we're still stretched. I think that we would be probably absolutely drowning, though, if we didn't have the extra help of Pluno. So that's huge.
Final thoughts and recommendations
Syed Ali
To someone who is in exactly the same position as yourself, and who might have tried other AI solutions or might be completely new to it, what would you say?
Sarala Conlan
There's so much on the market, and it feels sometimes like new things pop up every day, which, I mean, they do. AI is growing really fast, especially for support teams. It's really helpful to be able to test things out. I know you guys make demos available for people, and trial periods, so that you can make sure this really works for your team.
I really want to call out to other folks that are considering things: there are so many options. There's even options where you can customize and write your own LLMs, which is so great. But what really sets Pluno apart is that integration between Zendesk and Jira and Pluno. That's huge. Having updates on your tickets automatically in Zendesk from the linked Jira tickets is a game changer.
Your follow-ups become extremely on point. There's nothing that's missed back and forth between support and engineering. I would highly recommend that portion of it. My team is a huge fan. They feel like they could not live without Pluno now. So I appreciate the product.
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