SERVICE OPERATIONS

Service ops that makes great support intentional

We go into the stack, the workflows, and the data layer and build support ops that doesn't depend on the right person having a good day.

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amagi_white 1
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They stand out for their proficiency in utilizing popular online marketing platforms, such as RollWorks, Zoominfo, and HubSpot. What sets them apart is not only their industry knowledge but also their exceptional collaborative approach.
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Sam Arman

Strategy Analyst
medicusit_white 1
They stand out for their proficiency in utilizing popular online marketing platforms, such as RollWorks, Zoominfo, and HubSpot. What sets them apart is not only their industry knowledge but also their exceptional collaborative approach.
Image-60@2x

Sam Arman

Strategy Analyst
amagi_white 1
They stand out for their proficiency in utilizing popular online marketing platforms, such as RollWorks, Zoominfo, and HubSpot. What sets them apart is not only their industry knowledge but also their exceptional collaborative approach.
Image-60@2x

Sam Arman

Strategy Analyst
guidepoint_white 1
WHY YOU’RE HERE

Where capable service teams
keep hitting the same walls

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Context debt

Agents make judgment calls without the full picture, and customers experience that gap as inconsistency, not incompetence

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Priority blindness

When routing doesn't encode customer value, SLA commitments to your most important accounts depend on luck, not design

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Signal loss

Your richest source of product, churn, and revenue intelligence dies inside a ticketing queue nobody outside support reads

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Integration debt

Every tool added to solve a problem created a new connection nobody architected, and the stack now works against the team using it

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Inherited fragility

Half your current workflows exist because someone built them two years ago and nobody since has understood them well enough to touch them

HOW WE HELP

We help you solve what keeps surviving fixes

Speak with us

Unification

Build a single account view for every agent

Connect CRM, ticketing, and CS data together

Wire churn signals into the support layer

Give agents full context before they respond

Routing

Design routing logic built around customer value

Build SLA frameworks with proactive breach alerting

Configure queues by account priority, not keyword

Build escalation triggers that surface at-risk accounts

Intelligence

Operationalize CSAT beyond the quarterly review slide

Build reporting around outcomes, not activity metrics

Gain ticketing intelligence beyond the support queue

Track which ticket categories are growing month-over-month

Architecture

Map your stack for gaps and dead ends

Design a data model your support tools share

Replace duct-taped integrations with a clean architecture

Build a vendor evaluation framework for future additions

Documentation

Formalize escalation paths across every support tier

Build KB governance tied to your release cycle

Create agent decision trees for recurring ticket types

Design onboarding that captures institutional knowledge upfront

AI

Automate ticket triage without losing human judgment

Build self-serve deflection on real product knowledge

Detect at-risk accounts from ticket patterns early

Establish protocols that keep AI assistance auditable

customer stories

Breaking down our biggest RevOps wins

Deep insights into challenges that plague revenue teams across industries, and how we solve them.

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Data integration and segmentation for a leading venture capital firm

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COMPLETE REVOPS SOLUTIONS

Because even great service ops can't carry the whole engine

Marketing Ops
Marketing Operations

Fix demand systems sales doesn’t fight

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Sales Operations
Sales Operations

Remove the admin drag so sales actually sells

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GTM Intelligence

Walk into every QBR with answers, not excuses

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Web Development

Build conversion-led, tracked web experiences

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Advertising Operations

Run high-ROAS campaigns across channels

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Fractional RevOps

Embedded team driving revenue systems

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FAQS

Questions?
We’ve got answers

Do we need an in-house service ops team before working with you?

No, and most companies that come to us for customer service ops consulting don't have one. What you need is a support team that's feeling the pain of a system that wasn't designed — missed SLAs, agents without context, escalations that catch leadership off guard. That's enough to start. We come in, assess what exists, and build from there.

How are you different from a help desk implementation partner?

Platform consultants configure the software you've already decided to buy. That's a different job (which we also do). Customer service ops services start upstream — with the data model, the routing logic, the workflow design, the integration architecture. The tool configuration comes after that thinking, not instead of it. Most broken support stacks aren't broken because of the tools. They're broken because nobody designed the system the tools are supposed to serve. 

We've invested in fixing this before and the improvements didn't stick. What makes this different?

Internal fixes usually treat the most visible symptom — a bad integration, a broken queue, a missing escalation path. They stick until the next product launch or team change surfaces the next one. Customer service operations work that actually holds is designed with the full system in mind: how data moves, where process lives, how the stack handles change. If the last fix didn't ask those questions, it patched the surface. 

What does a customer service ops engagement actually look like on our end?

Depends on where you are. Some engagements start with a full audit — stack, workflows, data flows, tooling — before any design work begins. Others start with a specific, scoped problem like SLA logic or CSAT operationalization. Either way, the work is collaborative. We need access to your tools, your team, and the people who know where the bodies are buried. The ones who'll say "we've always done it this way but nobody knows why." 

How do we measure ROI on customer service ops services?

In our experience, some of it is hard to directly attribute. But the measurable signals are there: reduction in SLA breaches, decrease in escalations reaching leadership, ticket deflection rates, agent handle time on complex issues, and whether support data is actually reaching product and CS teams. What's harder to quantify but equally real is the organizational cost of a broken system — the senior time spent on fires that shouldn't have reached them, the churn that came in quietly before anyone flagged it. 

Your revenue QBRs are about to get a whole lot better