Both platforms run AI agents. On one of them the agents are a separate annual subscription.
ChurnZero sells its agent layer, Agentic Essentials, as a single annual subscription with a flat fee and a set allotment of credits, available on the Professional and Enterprise editions. The platform licence does not include it.
Velaris lists its AI capabilities inside the base package, which it publishes as five users and unlimited viewers. The add-ons it names are the Customer Portal and Velaris Support. Not the AI.
That is the commercial shape of this comparison, and almost nothing written about these two mentions it.
The architectural shape underneath is just as clean. ChurnZero sells a catalogue. Velaris sells a factory. More than fifteen purpose-built agents you switch on and point at accounts, against a builder you give your own instructions, steps and triggers to.
Which means the real question is not whether a platform has AI. Both do, so framing this particular matchup as traditional versus AI-native settles nothing after June 2026. The question is:
Do you want agents somebody else designed, or agents your team builds?
That answer usually comes down to whether you have CS Ops.
ChurnZero vs Velaris at a glance
| FACTOR | CHURNZERO | VELARIS |
|---|---|---|
| Agent model | Catalogue of 15+ purpose-built agents | Builder for your own agents |
| How agents are priced | Separate annual subscription, flat fee plus credits | Listed in the base package |
| Tier requirement for AI | Professional and Enterprise only | Base package |
| Context layer | Knowledge Sources plus Customer Intelligence Profile | Context Engine, a continuously updated customer memory |
| How agents trigger | Autonomously, inside Plays, or on request | On a schedule or on an event such as a health score change |
| Governance | You choose which agents run, where and how often | Central command centre, approvals on sensitive tasks, permissions |
| Observability | Agent runs controlled by the team | What it identified, why, what it recommended, who owned it, what happened |
| Access from Claude or ChatGPT | ChurnZero Connect, over MCP | MCP server |
| In-product engagement | WalkThroughs, announcements, surveys, Success Centers | Customer portal and embedded widget |
| Base packaging | Quote only | 5 users, unlimited viewers, quote only |
| Setup | ~4 to 6 weeks, guided | ~2 months |
| Who it suits | Teams that want agents working this quarter | Teams with CS Ops to design their own |
Does ChurnZero have AI agents?
Yes, and any comparison claiming otherwise is working from 2025 information.
ChurnZero launched Agentic Essentials on 15 June 2026 with more than fifteen purpose-built agents, built on an AI Marketplace, Knowledge Sources that plug agents into Confluence, Zendesk Guide, SharePoint, Intercom and Notion, a Customer Intelligence Profile every agent reads at runtime, and an MCP connector called ChurnZero Connect. We cover that architecture and the named agents in ChurnZero vs Custify, so this page will not repeat it.
The philosophy is what matters here. ChurnZero has taken established CS jobs and packaged each one as an agent you select, aim and schedule. Teams choose which agents run, which accounts they apply to and how often. It is a catalogue.
And it is a separate purchase. Agentic Essentials is sold as a single annual subscription with a flat fee and a set allotment of credits, and it requires the Professional or Enterprise edition. The platform licence does not include it.

That is the part almost nothing written about ChurnZero mentions, and it changes how you budget. Three lines, not one: the platform licence, the agent subscription, and the credits your real volume consumes. Full contract benchmarks are on our ChurnZero pricing page.
Does Velaris have custom AI agents?
Yes, and this is where it is genuinely different rather than just newer.
Velaris's agents sit on top of what it calls the Context Engine, described as a living map of every customer, event and process. It maintains a continuously updated memory of customer activity, conversations, relationships, product usage and tasks, so that, in Velaris's framing, agents make decisions using the same context as the CS team.
That is the architectural bet. Not that an agent can answer a question, but that it does not have to reconstruct the customer from scratch every time it runs.
On top of it sits a custom agent builder. Teams give an agent their own instructions and prompts, define the steps it should follow, and configure it to run on a schedule or in response to an event such as a health score change.
The difference from a copilot is worth stating plainly. A copilot answers when asked. An agent built this way runs when a condition occurs, whether or not anybody is watching.
What a CS Ops team can do with that is encode its own processes rather than its people's habits: risk investigation, renewal preparation, handoff quality checks, executive reporting, low-touch coverage. Each becomes a repeatable artefact instead of something every CSM does slightly differently.
Which is also the catch. A builder is only an advantage if somebody builds. Velaris's setup runs around two months and is vendor-led, with its team doing much of the initial configuration. That is genuinely helpful at the start and it raises the question every done-for-you model raises: who owns those agents in month seven?
Which has better AI governance?
Agentic software gets interesting at precisely the moment it becomes risky, and this is the clearest gap between the two.
Velaris treats governance as a product surface. It provides one central space for tracking, governing and overseeing agents, with monitoring of everything agents are doing in one place, approvals you can require on sensitive tasks, and permissions you can adjust. Its AI Command Center shows what agents are finding and lets teams review and approve recommended actions from inside the platform.
Its observability claim is specific enough to test: visibility into what the AI identified, why it reached that conclusion, what action it recommended, who was responsible for taking it, and what happened afterwards.
ChurnZero's controls are per agent rather than centralised. Teams decide which agents operate, which accounts they touch and how frequently they run, and its MCP layer carries permission-based guardrails. That is real control. It is organised around configuring each agent correctly rather than around watching the whole fleet.
The distinction matters more as agent count grows. One agent needs configuration. Thirty agents need an audit trail, because at thirty you will eventually have to answer why an email went to an enterprise account at the wrong moment.
So the demo question is not "show me your best agent." It is: show me what happens when an agent is wrong.
Give both vendors a deliberately ambiguous account. Usage down 28 percent, champion sentiment positive, three high priority tickets open, contract expanded six months ago, executive sponsor changed, renewal in 75 days. Then ask what the agent concludes, which evidence it used, which it ignored, what it is uncertain about, what it does without asking, what needs approval, where an administrator inspects the run afterwards, and whether you can allow an action for SMB accounts while blocking it for enterprise.
A polished AI summary proves almost nothing. That sequence proves a lot.
Where each one is genuinely stronger
Stated without hedging, because the overlap is large enough that the edges are what decide it.
ChurnZero reaches the customer. Its in-product layer runs WalkThroughs, announcements, surveys and Success Centers inside your own application. When adoption of a feature collapses, the response does not have to be another CSM task or another email to one person. It can be a guide in front of the users who abandoned it. Velaris has a customer portal and an embedded widget, which is not the same surface. We cover that capability in depth in ChurnZero vs ClientSuccess, so this page will not relitigate it.
Velaris absorbs the team's work. Agents that monitor continuously, prepare meetings, produce briefings, run handoffs and renewals, and fire on an event rather than on a reminder. For a team covering thousands of accounts where the bottleneck is how much a human can notice in a week, that is the more relevant kind of automation.
One real Velaris limitation belongs here, because a platform built on absorbing operational work should let you ask it your own questions: Velaris does not let teams self-build reports. If your CS Ops function expects to assemble its own views without going back to the vendor, test that specifically before you sign. Our Planhat vs Velaris comparison covers Velaris's reporting and data model in more detail.
How to price the work rather than the licence
Do not turn this into a pricing exercise. Neither vendor publishes a rate card, and the detail belongs on the pages built for it, ChurnZero pricing and Velaris pricing.
One procurement move is worth doing here though, because agent pricing behaves differently from seat pricing.
Give both vendors your real monthly volume rather than a demo account. Accounts monitored, renewals handled, meeting summaries, executive briefs, risk evaluations, customer communications, custom agent runs. Then ask for year one and year two.
For ChurnZero, that quote must include the platform licence, the Agentic Essentials subscription and the credits your volume will actually consume, since the first two are separate purchases and the third is metered. For Velaris, it must include the seats you need beyond the base five, plus any add-ons such as the Customer Portal.

The question that matters is not which licence is cheaper. It is what your real agent usage costs in year two, once the pilot allotment is behind you.
What to ask in the ChurnZero and Velaris demos
Give both the same account and run two tests, because each vendor will otherwise demo the half it is better at.
ACME Corp. Renewal in 93 days. Usage down 31 percent. Champion still active. End user activation falling. One unresolved P1 ticket. Last executive meeting 62 days ago. A sticky feature used by 14 percent of licensed users.
Test one, change the customer. Ask the system to raise adoption of that feature. Who gets targeted, what do they see, where do they see it, how does it differ by segment, and how is completion measured?
Test two, remove the work. Ask the system to investigate the risk, summarise the account, prepare the CSM, identify who to contact, draft the next action, update the connected systems, schedule follow up and escalate if nothing changes.
Then ask one question of each vendor's own team, which is more revealing than either test: have your CS Ops person change an agent live. Change its trigger, add an approval step, modify the context it reads, and inspect a failed run. The best implementation service in the world is not the same thing as operating independently after go-live.
ChurnZero vs Velaris: which should you choose
Choose ChurnZero if you want agents working this quarter rather than designing them, your retention depends on what end users do inside your product, and you can carry the platform licence plus a separate AI subscription. A catalogue is the right answer when the jobs you want automated are the standard ones, which for most teams they are.
Choose Velaris if you have CS Ops or a named platform owner who will actually build, your processes are specific enough that generic agents would not fit them, you need central approvals and an audit trail because agents will touch enterprise accounts, and the bottleneck is how much work your team can get through rather than what customers do. A builder is only worth it if somebody builds.
If you have three CSMs and no CS Ops, neither is the obvious answer. A catalogue you do not have time to configure and a builder you have nobody to build with solve a problem you may not have yet.
Consider GainTrace if the actual gap is knowing which accounts changed and why, early enough to act.
When neither fits: GainTrace
There is a buyer inside this comparison who does not need an agent platform at all.
Their systems work. The CRM is populated, support is running, product data exists. What they cannot answer on a Monday morning is which accounts moved last week, what moved them, whether it matters, and which one to open first. That is a detection problem. Buying a fleet of agents to solve it means configuring a workforce to answer a question.
| FACTOR | GAINTRACE | CHURNZERO | VELARIS |
|---|---|---|---|
| Published pricing | Yes | No | Packaging only, no prices |
| Entry point | Free forever on 25 companies | Quote only | Quote, base 5 users |
| Paid plans | $99 to $999/month, $82 to $832 annual | Quote only | Quote only |
| Is AI an extra purchase | Scoring on every plan, Trace AI on paid plans, optional Teammate $199/mo | Yes, separate annual subscription | No, listed in the base package |
| Editing users | Unlimited on every plan | Seats are a pricing driver | 5 in base, unlimited viewers |
| Setup | ~7 days, connect and go | ~4 to 6 weeks, guided | ~2 months |
| Self-build reports | Yes | Yes | Not supported |
GainTrace reads CRM, product, billing and support signals into one ranked, explainable score, with the contributing signals shown under each one, and without waiting for a CSM to log anything first.

What it does not have, stated plainly: no agent catalogue, no agent builder, no governance console, no in-product engagement, no lifecycle orchestration. If you want a governed agent workforce, evaluate Velaris. If you want packaged agents and a way to reach users inside your product, evaluate ChurnZero. GainTrace replaces neither.
See GainTrace pricing for the tiers, or our ChurnZero alternatives guide for a wider comparison.
Frequently asked questions
- Is Velaris better than ChurnZero for AI?
- Not automatically, and not because one is AI-native. ChurnZero has more than fifteen purpose-built agents, business knowledge sources, a customer intelligence profile and MCP access. Velaris's real distinctions are its Context Engine, a builder for your own agents, and an explicit governance layer with central monitoring and approvals. Pick on whether you want to use agents or design them.
- Does ChurnZero have AI agents?
- Yes. Agentic Essentials launched on 15 June 2026 with more than fifteen purpose-built agents that run autonomously, inside Plays, or on request. Any comparison describing ChurnZero as a non-AI platform is out of date.
- Is ChurnZero's AI an extra cost?
- Yes, and this is the detail most comparisons miss. Agentic Essentials is a separate annual subscription with a flat fee and a set allotment of credits, and it requires the Professional or Enterprise edition. Budget the platform licence, the agent subscription and your expected credit consumption as three lines, not one.
- Is Velaris AI included in the base price?
- Velaris lists its AI capabilities within the base package, which it publishes as five users and unlimited viewers. The add-ons it names are the Customer Portal and Velaris Support rather than AI. It does not publish dollar pricing, so confirm what your agent volume costs in the quote.
- Which has better AI governance?
- Velaris is more explicit. It provides a central space for monitoring everything agents are doing, approvals on sensitive tasks, adjustable permissions, and visibility into what the AI identified, why, what it recommended, who owned it and what happened next. ChurnZero gives per-agent control over where and how often agents run, with permission guardrails on its MCP layer. Test both against your real approval requirements rather than the phrase "human in the loop".
- Can both connect to Claude or ChatGPT?
- Yes. ChurnZero Connect exposes its customer intelligence over MCP, and Velaris runs an MCP server. The thing to compare is not whether the connection exists but what context travels across it and which permissions apply.
- Which is better for digital customer success?
- ChurnZero, when digital customer success means reaching users inside your product. Its native layer includes WalkThroughs, announcements, surveys and Success Centers. Velaris is stronger when digital customer success means covering a much larger portfolio without adding headcount, since its agents are built to absorb the team's operating work.
- What if we just need earlier risk detection?
- Then both of these platforms are more machinery than the job requires. GainTrace does that from published pricing, free on 25 companies and $99 to $999 a month after that, with unlimited seats and the contributing signals shown under every score.