Outsourced Tier 1 Support for SaaS Companies
A support queue that climbs past thirty tickets starts costing you renewals, not just patience.
Deflection already handles the documented question well — that part is done. What's left is the trial about to churn silently and the enterprise account whose champion just left. GH staffs people trained to notice and act on exactly that.
Sound familiar?
The friction we hear most.
Every ticket left open is a day closer to a canceled subscription
A support backlog does not read as busy to the customer waiting on it. It reads as a reason to look at a competitor.
A trial expires unnoticed because nobody called before day thirteen
The trial that converts is the one somebody followed up on. The one that lapses quietly is revenue you never really had a chance at.
A power user goes quiet for two weeks and nobody flags it
By the time a login gap shows up on a renewal call, the account has usually already decided.
The knowledge base still describes a screen you shipped over three releases ago
Every outdated article generates a ticket that a current one would have prevented, and nobody owns keeping it current.
Who joins your team
Roles we staff.
Tier-One Support Associate
Triages and resolves the first-line ticket queue, escalating to engineering with full context rather than a half-written ticket.
Onboarding & Implementation Specialist
Runs onboarding calls and implementation checklists so a new account is live and using the product, not stalled in setup.
Customer Success & Renewal Associate
Watches for churn-risk usage signals and chases renewal paperwork before a contract lapses on its own.
Knowledge Base Editor
Keeps help-center articles and macros current with every release, and turns recurring tickets into documentation that prevents the next one.
Day to day
What they handle, every day.
- Triage tier-one support tickets and escalate the rest to engineering with full context
- Run onboarding calls and implementation checklists for new accounts
- Follow up on trial accounts before the trial window closes
- Flag churn-risk usage signals and route them to customer success
- Keep knowledge base and help-center articles current with every release
- Chase renewal paperwork and update terms before a contract lapses
- Send onboarding milestone nudges to accounts stalling mid-setup
- Update release notes and support macros after each product ship
- Monitor support SLAs and reassign ageing tickets before they breach
- Collect and route feedback from cancellation surveys to the product team
The handoff
Where AI stops. Where we start.
Automation is genuinely faster at the first, predictable touch — that part is not in question. What follows is the moment it runs out of road, and a trained person picks up with the context already in hand.
A trial user has not logged in for four days
Where AI stops
An automated check-in message goes out and offers a setup call slot the same day the gap appears, faster than anyone could type it manually. It cannot tell whether the trial went quiet because the product did not fit or because nobody ever got past step one.
What our team does
Calls, finds out which one it actually is, and either fixes the setup problem or lets the trial go without wasting another week chasing it.
A ticket comes in asking how to reset an integration
Where AI stops
An automated reply answers instantly from the documented steps and checks whether the fix held before closing the ticket, and it gets that right most of the time. It cannot tell that this account's integration keeps breaking because of something the documented steps do not cover.
What our team does
Digs into why the fix is not holding, loops in engineering with the actual pattern instead of one ticket, and stops the account filing the same complaint again next month.
Product usage drops sharply on an account approaching renewal
Where AI stops
An automated system flags the drop and drafts an outreach note the same day it happens, which is faster than any person would notice a chart move. It cannot tell whether the drop means the champion who bought the product just left the company.
What our team does
Makes the call, finds out who is left and whether anyone still owns the relationship, and starts rebuilding it before the renewal date arrives with nobody home.
A customer asks the same setup question three different ways in one week
Where AI stops
An automated system recognizes the pattern and drafts a knowledge base update for review, which is the fast way to cut ticket volume. It cannot tell whether the real fix is a better article or a product change nobody has raised yet.
What our team does
Rewrites and publishes the article, then flags the product gap the question was actually pointing to.
Outcomes
What changes.
Support queue coverage
First response inside the support queue
Tickets carried past their SLA
What this could save you
Put a number on it.
The outcomes above are what changes operationally. Here's what a role like this is worth in dollars at SaaS companies.
What this could save you on SaaS companies
Move the numbers to match the role you're costing. The totals below update as you type — no email needed.
US cost, all-in
$73,621/yr
GH cost, all-in
$20,800/yr
Annual saving
$52,821
71.7% lower than staying in-house
Full itemised breakdown
See the six line items that make up the US-side total — payroll tax, benefits, paid leave, equipment, and recruiting — for the numbers above.
No sales call. We'll just send the same breakdown to your inbox.
Every assumption this rests on
These are conservative public US averages — employer payroll tax, benefits load, paid leave, and the rest — not GH Business Solutions' own measured figures. They're disclosed here in full so you can check the arithmetic yourself rather than take our word for it.
| Assumption | Value |
|---|---|
| Employer payroll tax | 9.15% |
| Benefits load | 25% |
| Paid leave | 20 days |
| Workstation and software | $1,500 |
| Cost per hire | $4,000 |
| Annual turnover | 30% |
| GH rate | $10.00 per billable hour (our range is $9-$10 — we cost the top of it here) |
Ready to talk specifics?
Tell us what's piling up. We'll tell you exactly what we would take off your desk.
Getting started
Two weeks, start to finish.
Week one
We map your workflow
A dedicated team lead learns your systems, protocols and escalation rules before anyone takes a live call or opens a live ticket.
Week two
Supervised live coverage
Your new team works real calls and real tasks alongside your staff, with a safety net until every handoff is clean.
Full handover
Coverage runs on its own
By the end of week two the team runs independently, with reporting you can review each morning rather than a queue you have to check.
Compliance & data handling
Built to be trusted with what matters.
- Customer account and usage data handled under access controls you define
- Payment and billing data never captured or stored by the team
- SOC 2 aware handling of customer data and support tooling
- Named-individual access to your helpdesk and product admin tools
Related services
Common questions
Before you ask.
Will customers know tier-one support is not in-house?
Most customers assume your own staff answered. The team responds using your macros and your tone, trained on your product specifically, so there is nothing generic in the reply for anyone to notice.
How do you handle customer account and billing data?
The team works inside your existing helpdesk and product admin tools using access you grant and control. Payment and billing data is never captured or stored by the team directly, and account access follows named individuals only.
Deflection already handles our documented questions. What's actually left for a support team?
The account that goes quiet without ever filing a ticket, the renewal where the champion just left, the bug that deflection cannot diagnose because it is not in any article yet. The team picks up escalations with the full thread already logged, and anything involving a bug, a billing dispute or a churn risk goes to a person by default, not on request.
Do you work inside the helpdesk and product tools we already use?
Yes. The team works inside whatever helpdesk, in-app chat and product admin tools you already run, using logins you issue and permissions you control. Nothing is migrated and nothing new is installed on your side.
What stage of company does this make sense for?
Early-stage teams whose founders are still answering tickets themselves, through to companies running a support function that has outgrown a single hire. A small team usually starts with tier-one coverage and onboarding calls; larger ones add renewal and churn-signal outreach.
How quickly can a support team be ready?
Two weeks is typical. The first week maps your product, macros, escalation path and the tools you already use; the second runs live ticket coverage supervised alongside your own team before full handover.
Also in commerce & operations
We staff the same half of the work here.
Ready to see this running in your business?
Tell us what's piling up right now. We will tell you exactly what we would take off your desk.
Talk to us