Customer Service & Helpdesk
Vivantio
Provenance unknown Report an error0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.
by Vivantio Ltd · www.vivantio.com
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Vivantio at a glance
- Vendor
- Vivantio Ltd
- Headquarters
- Not stated on the vendor’s pages as of 13 Oct 2026
- Data hosting
- Not stated on the vendor’s pages as of 13 Oct 2026
- Free plan
- Not stated on the vendor’s pages as of 13 Oct 2026
- Panel verdict
- The AI panel rates Vivantio 2.5/5, the mean of 6 judges. Vivantio, a customer service and ITSM platform, scores highest on integrations, 6 to 6: over 600 built-in integrations across monitoring, CRM, identity, messaging and DevOps, single sign-on via SAML, OpenID Connect, Azure AD and Okta, an API with webhooks, and FLEXBridge for anything with an API. how scores are made
- As of
- Vendor pages captured 13 Oct 2026; evaluated by the panel 15 Oct 2026. all sources
Read this page as one judge. Each weighs the same scores by what they care about.
The panel's verdict
Vivantio, a customer service and ITSM platform, scores highest on integrations, 6 to 6: over 600 built-in integrations across monitoring, CRM, identity, messaging and DevOps, single sign-on via SAML, OpenID Connect, Azure AD and Okta, an API with webhooks, and FLEXBridge for anything with an API. Ticketing core, 5 to 6, and knowledge and self-service, 5 to 6, follow — judges credit expression-built queues, priorities tied to working time plans with SLA target times and within-versus-breached reporting, and articles surfacing as users type. Sovereignty, at 1 to 2, is the weakest category that counts toward the verdicts: no sovereignty attributes are on record, and no public information appears on hosting location or subprocessors. Customer data protection sits at 3 to 4, access controls documented, DPA, retention and deletion questions open. Omnichannel spreads widest, 4 to 6: higher scores rest on the portal, email and WhatsApp channels, lower ones weigh live chat, telephony and a shared history that no captured page shows. Pricing transparency, at 0, is excluded from the verdicts; no prices appear — every route ends at a roughly 30-minute demo.
Speaks for it
- Over 600 built-in integrations span CRM, identity, monitoring, messaging, DevOps and finance, with an API, webhooks and a FLEXBridge route for anything that exposes an API.
- Queues are built from All, Any or None expression conditions, with role-scoped visibility set per queue.
- Priorities tie to working time plans and carry SLA target times, reported within versus breached in a custom report builder.
- Knowledge base articles surface to users as they type in the portal, before a ticket is submitted.
- Role-based permissions control queue visibility per role and which departments can reach confidential data.
Held against it
- We found no public information on hosting location, contracting entity jurisdiction, certification or any subprocessor list — no sovereignty attributes are on record.
- We found no public information on a published DPA, stated retention periods or an executable deletion path for a requester's data.
- We found no public information on live chat, telephony with call logging, messenger consent handling or one shared conversation history across channels.
- We found no public information on escalation chains, macros, ticket merge and split, or search across ticket bodies.
- We found no public pricing information — every route ends at a roughly 30-minute demo.
Best for
- You run internal service desks across IT, HR, facilities and legal and want one platform with department-scoped permissions and queues.
- Your stack leans on CRM, identity and monitoring tools and you value integration breadth plus an API you can wire yourself.
- You want to deflect routine tickets through a self-service portal that suggests articles while users type.
- You need business-hours-aware SLAs with reporting that splits within-SLA from breached tickets.
Avoid if
- You must show a regulator or customer where the ticket archive is hosted and which subprocessors touch it.
- You need a published DPA and stated retention periods before storing personal data in the archive.
- Your channel mix depends on live chat or telephony arriving in the same queue as email and the portal.
- You must build a budget case from published prices before any vendor conversation.
The scores
| Criterion | Panel median |
|---|---|
| Ticketing, queues & SLA | 3 of 5 |
| Channels in one queue | 2.5 of 5 |
| Knowledge base & deflection | 3 of 5 |
| Customer data protection | 2 of 5 |
| Integrations & API | 3 of 5 |
| European sovereignty | 1 of 5 |
Ticketing, queues & SLA
Show reasoningHide reasoning
How this is scored
The engine: how work is routed, prioritised, escalated and measured — and whether an agent can find the ticket they need among ten thousand.
0 — A shared mailbox with labels; no ownership, no status model, no history beyond the thread.
3 — Tickets with assignment and open/closed status, but routing is manual, there are no SLA timers and search covers subject lines only.
5 — Queues with rules-based routing, priorities, a working status model, SLA timers with breach warnings, and full-text search across ticket bodies.
8 — Business-hours-aware SLA policies per queue or customer, escalation chains, macros and triggers, merge and split, and reporting on first-response and resolution time by agent and queue.
10 — The workload is managed rather than merely tracked: capacity-aware assignment, SLA per contract with reporting an account manager could show a customer, audit of every status change, and search that finds the ticket from a half-remembered phrase.
The Support Lead
Queues are built from expression-based conditions with role-scoped visibility, every ticket carries a mandatory priority tied to a working time plan, and SLA reporting splits within versus breached — enough to run a queue on. But we found no public information on timers that warn before a breach, escalation chains, macros, merge and split, or search across ticket bodies, and that is the difference between tracking work and managing it. 2 3 6
The Agent Advocate
Priorities tied to working-time plans with SLA target times, breach-versus-within reporting in a custom report builder, and queues carved from AND/OR/None expressions are real engine parts — this is a ticketing system, not a mailbox. But I found no public information on macros, escalation chains, ticket merge and split, or search across ticket bodies, and after six years of queues the hundredth reply lives or dies on finding the old thread. 1 2 3
The Data Protection Officer
Queues built with Expression Builder AND/OR/None conditions, priorities tied to Working Time Plans with SLA target times, and SLA-versus-breach reporting give a genuine rules-based engine with business-hours awareness. However, we found no public information on escalation chains, macros, merge and split, full-text search behaviour, or reporting of first-response and resolution time by agent and queue. 1 2 3 6
The Shop Operator
Queues built from all/any/none conditions, mandatory priorities, and SLA target times tied to Working Time Plans with breached-versus-within reporting give me a genuine rules engine with business-hours awareness. I found no public information on escalation chains, macros, merge and split, first-response and resolution reporting by agent and queue, or full-text search across ticket bodies — and at ten thousand open tickets that search question decides my day. 1 2 3
The Integrator
Queues are genuine filter-built views with role-scoped visibility, priorities carry SLA target times tied to Working Time Plans, and SLA-versus-breached performance can be reported through a custom report builder — that is business-hours-aware SLA with reporting, the strongest single element here. I found no public information on escalation chains, macros and triggers, merge and split, or full-text search across ticket bodies, so I cannot place it in the top band. 1 2 3
The Skeptic
Queues are documented as rule-defined views built with an expression builder (AND/OR/None conditions), priorities carry SLA target times tied to working time plans, and within-versus-breached SLA reporting exists via a custom report builder — the bones of a rules-and-timers engine. But I found no public information on automatic assignment or escalation chains, macros, merge and split, breach warnings in real time, or search across ticket bodies, so the engine is evidenced as tracked rather than managed. 2 3 6
Channels in one queue
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How this is scored
Email, chat, phone, portal, messengers and social — judged on what actually lands in the same queue with the same history, not on how many channel logos the marketing page carries.
0 — Email only.
3 — Email plus one more channel, but the second lives in its own inbox: no shared history, and a customer who switches channel starts again.
5 — Email, a web form or portal and live chat all landing as tickets in one queue, with the customer's history visible whichever channel they used.
8 — The above plus telephony integration with call logging, at least one messenger (WhatsApp, Signal or similar) with its consent handling stated, and a customer portal where a requester can see their own tickets.
10 — Channel is an implementation detail: every channel including voice and messengers writes to one conversation with one history, agents answer from one screen, and the customer can move between channels mid-issue without repeating themselves.
The Support Lead
Email connectors, a genuine two-way portal where requesters watch ticket status live, and WhatsApp that both creates and updates tickets give me three ways in, though WhatsApp arrives through the Albato platform partner rather than natively. We found no public information on live chat, on telephony with call logging, or on one shared history when a customer switches channel mid-issue. 4 6 9
The Agent Advocate
The portal runs two-way with real-time ticket status, WhatsApp works both directions through a partner built into the admin area, and SMS arrives via webhooks — email, portal and a messenger all reaching the same platform. I found no public information on live chat or telephony with call logging, nor on consent handling for WhatsApp, and 'consistent across every channel' is a marketing line rather than a shown single conversation history. 1 4 6 10
The Data Protection Officer
Email (Gmail, Exchange, Office 365), a two-way self-service portal where requesters see their ticket's live status, and two-way WhatsApp messaging plus SMS via Twilio are all evidenced as feeding Vivantio. We found no public information on live chat, telephony with call logging, or messenger consent handling, and "consistent across every channel" appears as marketing wording rather than a channel list. 1 4 6 9 10
The Shop Operator
The self-service portal is a real channel — requesters see ticket status in real time and communicate both ways — and WhatsApp runs two-way with ticket creation and status updates, though via the Albato platform service partner rather than a native connector, with email connections named. I found no public information on live chat, telephony with call logging, WhatsApp consent handling, or a single shared conversation history across channels, which is the test I apply before trusting a December queue. 4 6 9 10
The Integrator
The portal is solidly evidenced as a two-way ticket channel with real-time status and two-way updates, WhatsApp runs both directions with ticket creation and customer status notifications through a partner built into the admin area, and SMS is connectable via webhooks to Twilio. I found no public information on live chat, telephony with call logging, or consent handling for messengers, and the 'consistent across every channel' line is marketing copy with no captured evidence of one shared history across channels. 1 4 6 10
The Skeptic
The headline claims service 'consistent across every channel', but what the pages actually evidence is a self-service portal with two-way updates and real-time ticket status, plus two-way WhatsApp through a third-party partner (Albato) that can trigger ticket actions. I found no public information on live chat, telephony with call logging, messenger consent handling, or any proof that channels write into one shared conversation history — two evidenced channels, not every channel. 1 4 6
Knowledge base & deflection
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How this is scored
Whether the product reduces the number of tickets as well as organising them: public help centre, article workflow, suggestions to agents and to customers.
0 — No knowledge base; answers live in agents' heads and old tickets.
3 — A basic article list, public or internal, with no editorial workflow, no versioning and no link between articles and tickets.
5 — A searchable public help centre with categories, draft and publish states, and agents able to insert an article into a reply.
8 — Article suggestions to the customer before they submit and to the agent while they answer, multilingual articles, review dates that flag stale content, and reporting on which articles deflect.
10 — Knowledge is a managed asset: gaps identified from unanswered tickets, article performance measured against ticket volume by topic, versioned content with approval, and deflection reported as a number the team can act on.
The Support Lead
Articles surface while the user types in the portal, so the deflection moment genuinely exists, and the same knowledge base serves agents resolving the issue; the vendor also claims AI answer-surfacing and response suggestions, which I would want checked against a live queue on a Monday morning before counting. We found no public information on multilingual content, review dates for stale articles, editorial workflow, or reporting on which articles actually deflect. 1 5 6
The Agent Advocate
Articles surface while the user is still typing in the portal — deflection before the ticket exists — and the AI capabilities promise answers from the organisation's own knowledge plus response suggestions for the agent. I found no public information on draft-and-publish workflow, versioning, multilingual articles, review dates, or reporting on which articles actually deflect, so the knowledge base looks like a live tool but not yet a managed asset. 1 5 6
The Data Protection Officer
Article suggestions are shown to customers as they type in the portal before submitting, AI answers and response suggestions are stated for agents, and the knowledge base is searchable by agents and end users alike. We found no public information on draft-and-publish editorial workflow, multilingual articles, review dates for stale content, or reporting that identifies which articles deflect. 1 5 6
The Shop Operator
Articles surface to the customer as they type in the portal before a ticket is submitted, and AI suggests answers from the knowledge base and drafts responses on the agent side — that is real deflection machinery aimed at my December numbers. I found no public information on draft-and-publish workflow, versioning, multilingual articles, review dates for stale content, or reporting that measures deflection against ticket volume. 1 5 6
The Integrator
The deflection loop is real: articles surface to the user as they type in the portal before submission, the knowledge base is searchable by end users and agents alike, and the vendor describes surfacing trusted answers from the customer's own knowledge. I found no public information on multilingual articles, review dates for stale content, draft-and-publish workflow, or reporting that measures which articles deflect, which keeps this below the top band. 1 5 6
The Skeptic
The knowledge base is searchable on its own, available to agents during resolution, and articles are surfaced to customers as suggestions while they type their issue into the portal — a concrete deflection behaviour, not just a logo. But I found no public information on draft and publish states, versioning, review dates, multilingual articles, inserting an article into a reply, or deflection reported as a measurable number. 1 6
Customer data protection
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How this is scored
A ticket archive is personal data written by the data subject. Retention, deletion, access control, subject rights, and what the vendor does with attachments — judged on what executes rather than what is promised.
0 — No retention policy stated, no deletion path, agents all see everything, and no DPA is published.
3 — A DPA on request and coarse roles; deletion is described as something the customer arranges, and there is no stated retention period.
5 — A signable DPA published, configurable agent roles and queue-level visibility, a stated retention period, and deletion of a requester's data that can actually be executed.
8 — Automatic retention rules per queue or data category, attachment handling stated, an audit log of who opened which ticket, documented support for access and erasure requests, and pseudonymisation or redaction of ticket content.
10 — Built for a data-protection audit: retention executed and evidenced per category, field-level redaction, full audit trail, subprocessor list published, and the vendor's own support access to customer instances documented and consent-gated.
The Support Lead
Role-based permissions decide who and which departments can act and see confidential data, and queue visibility is set per role — the access-control half of the story is documented. We found no public information on a published data processing agreement, a stated retention period, an executable deletion path for a requester's data, or attachment handling; the full audit trail we saw is described for change records. 2 7 8
The Agent Advocate
Department-scoped roles, confidential-data permissions and drag-and-drop queue visibility are controls I believe actually execute. But I found no public information on a published DPA, retention periods, an executable deletion path for a requester's data, attachment handling, or an audit log of who opened which ticket — the full audit trail shown sits on change management, not ticket access. 2 7 8
The Data Protection Officer
Fine-grained role-based access control with queue-level visibility and departmental control over confidential data is well evidenced, and a full audit trail is described for change management. But for the ticket archive itself I found no public information on a DPA, a stated retention period, an executable deletion path for a requester's data, attachment handling, an audit of which agent opened which ticket, or what the vendor's own support staff can see in an instance. 2 7 8
The Shop Operator
Role and permission control goes beyond coarse: queue visibility is set per role by drag-and-drop, and departments can be blocked from confidential data — solid access discipline for the archive. I found no public information on retention periods, an executable deletion path for a requester's data, a published data processing agreement, or an audit log of who opened which ticket. 2 7 8
The Integrator
Configurable roles, queue-level visibility managed by drag-and-drop, and department-level control over confidential data are documented, which covers the access-control half of the equation. I found no public information on a published DPA, a stated retention period, deletion of a requester's data that can actually be executed, or support for access and erasure requests, and the audit trail described in the captured tours sits on change records rather than ticket access. 2 7 8
The Skeptic
Role-based permissions with per-department access to confidential data and queue visibility controlled per role are properly documented in the admin guides and a dedicated tour — that part executes and is public. Beyond it I found no public information on a DPA even on request, retention periods, an executable deletion path, attachment handling, or an audit log of who opened which ticket; the only audit trail shown is for change records. 2 7 8
Integrations & API
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How this is scored
The systems a helpdesk has to reach — CRM, shop, order management, identity — and whether the API is documented for building or gated behind a partner conversation.
0 — No API and no named integrations; context is copied in by hand.
3 — A handful of native integrations and a read-mostly API, with no webhooks and no documented rate limits.
5 — Named integrations for common CRM and shop systems, a documented REST API with keys, webhooks for the core ticket events, and SSO.
8 — Maintained bidirectional integrations, customer context from other systems shown inside the ticket, SCIM provisioning, documented rate limits and a sandbox.
10 — A component rather than a destination: versioned API with a deprecation policy, event streaming both directions, an app framework for in-ticket extensions, and integrations the vendor maintains rather than lists.
The Support Lead
Over six hundred built-in integrations are named across CRM, identity, monitoring and messaging, single sign-on comes via SAML, OpenID, Azure AD and Okta, and there are published walkthroughs for webhooks, the API and specific tools — a maintained programme, not a logo wall. We found no public information on SCIM provisioning, documented rate limits, a sandbox, or customer context from the CRM shown inside the ticket. 9 10
The Agent Advocate
Over six hundred built-in integrations across monitoring, CRM, identity and messaging — Salesforce, Dynamics 365, Jira, Okta, Teams — plus an API with webhooks and step-by-step walkthroughs for wiring Twilio SMS or TeamViewer is an ecosystem, not a logo wall. I found no public information on documented rate limits, a sandbox, SCIM provisioning, or CRM context shown inside the ticket, and no shop or e-commerce system among the named integrations. 9 10
The Data Protection Officer
Over 600 built-in integrations spanning monitoring, CRM (Salesforce, Dynamics 365, HubSpot), identity, messaging and finance, five SSO mechanisms, an API with webhooks and web methods, and a FLEXBridge route for anything with a webhook or API make this a broad, documented-enough surface. We found no public information on SCIM provisioning, documented rate limits, a sandbox, or customer context from other systems shown inside the ticket. 9 10
The Shop Operator
Over six hundred built-in integrations across CRM, identity, messaging, monitoring and DevOps, webhooks and web methods with step-by-step guides, and SSO via SAML, OpenID Connect, Azure AD and Okta cover most of my stack. I found no public information on a shop or order-management connection, SCIM provisioning, documented rate limits, a sandbox, or customer context from another system shown inside the ticket — the order-in-front-of-the-agent question stays open. 4 9 10
The Integrator
This is the strongest area: named CRM, identity (SAML, OpenID Connect, Okta, Active Directory) and messaging integrations, an API with webhooks and web methods, a framework claiming connectivity for anything that exposes an API, and public tutorial-style walkthroughs for building them — integration is build-it-yourself, not gated behind a partner conversation. As the person wiring in three legacy systems, though, I found no public information on documented rate limits, SCIM provisioning, a sandbox, webhook retry behaviour, or an API versioning and deprecation policy, and while finance tools like QuickBooks and Sage are named, we found no shop or e-commerce system among the captured integration categories. 4 9 10
The Skeptic
Over six hundred built-in integrations are claimed with named entries for Salesforce, Dynamics 365, HubSpot, Okta, SAML and OpenID Connect single sign-on, and the API, webhooks and web methods are documented paths alongside a FLEXBridge framework for anything else with an API — breadth well past a handful. I found no public information on documented rate limits, a sandbox, SCIM provisioning, or customer context from other systems shown inside the ticket, so it reads as a wide catalogue rather than evidenced two-way context. 9 10
European sovereignty
panel opinion
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How this is scored
Where the ticket archive lives, who the contracting entity is, which subprocessors touch it, and whether vendor support can read customer data. Independently sourced by the sovereignty pipeline; scored here as this buyer weighs it.
0 — Non-EU vendor and contracting entity, hosting unstated or non-EU, subprocessors unnamed.
3 — EU hosting offered as an option while the contracting entity is non-EU, or the subprocessor list is absent.
5 — EU hosting as standard and an EU contracting entity, but parts of the chain — support tooling, analytics, AI features — are non-EU without an explained safeguard.
8 — EU or DACH hosting with a named data-centre provider, EU contracting entity, full subprocessor list published, and any non-EU processing named with its legal basis.
10 — Sovereign end to end and evidenced: vendor, entity, hosting and every subprocessor in the EU, certification published, and a self-hosted or private-cloud option for buyers who need the archive on their own infrastructure.
The Support Lead
Nothing on record answers where the ticket archive lives, which entity contracts, or which subprocessors touch it; the only partner named anywhere in the chain is Albato for WhatsApp. For a buyer who has to tell a customer where their data sits, we found no public information to point at. 1 4
The Agent Advocate
No sovereignty attributes are on record: I found no public information on hosting location, the contracting entity's seat, a subprocessor list, or certification. The integration pages do name OpenAI and Gemini among AI services without stating where that processing happens or under what safeguard — for a ticket archive of personal data, that is the first question I would put to the vendor. 1 9
The Data Protection Officer
The sovereignty record is empty: I found no public information on hosting location, the contracting entity's jurisdiction, a named data-centre provider, any subprocessor list, or a self-hosted option. The only jurisdictional signal on the captured pages is that OpenAI and Gemini AI sit among the listed AI integrations. 1 9
The Shop Operator
I found no public information on hosting location, data-centre provider, certification, or any subprocessor list, and the only contracting entity shown is Vivantio Ltd, a name that reads as a UK company rather than an EU one. For a ticket archive full of customer names and addresses, that silence sits near the bottom of what I can accept. 1
The Integrator
Sovereignty information is absent from the captured pages: we found no public information on hosting location, contracting entity jurisdiction, certification, or any subprocessor list. The only adjacent facts are AI options — OpenAI and Gemini alongside an Azure AI service described as running in a private tenant — which leaves the chain around a European ticket archive unevidenced, so I score near the bottom. 9
The Skeptic
No public information on hosting location, contracting entity jurisdiction, certification, or any subprocessor list appears on the captured pages — the sovereignty record is simply empty. The AI integrations on offer include US providers such as OpenAI and Gemini, though as opt-in integrations rather than a documented processing chain, which is the only geography signal anywhere. 1 9
Pricing transparency
not rated — the vendor publishes no price
Show reasoningHide reasoning
How this is scored
Whether a support lead can compute the real annual invoice for their agent count — including the channels and features they actually need — from public pages alone.
0 — No public prices at all; every tier is a sales conversation.
3 — A per-agent headline exists, but the tier where the needed channel or SLA feature begins is unstated, or light-agent and contact limits are not mentioned.
5 — Per-agent prices public for the main tiers with billing period stated, but at least one commonly needed capability (telephony, messengers, SLA policies) sits in an unpriced bundle.
8 — Every tier and add-on priced publicly with per-agent maths, billing period, minimum term and VAT treatment stated; only genuinely custom enterprise work lacks a number.
10 — Complete price computability: a calculator or table producing the annual invoice for a given agent count and channel selection, including usage-metered channels and overage.
The Support Lead
We found no public information on pricing at all — no per-agent figure, no tier names, no billing period — and every captured route into the product is a roughly thirty-minute personalised demo. I cannot take even a rough annual invoice for my twelve agents to a budget meeting from these pages. 1 5
The Agent Advocate
Every commercial path on the captured pages ends at a demo — a 30-minute tailored walkthrough alongside a free ITSM benchmark — and I found no public information on per-agent prices, tiers, billing period, minimum terms or add-ons. A support lead cannot put together even a rough annual invoice from what is published. 1 5 7
The Data Protection Officer
We found no public information on pricing at all — no per-agent price, no tiers, no billing period, no VAT treatment. The only commercial path shown on the captured pages is a demo request, described as a roughly 30-minute personalized demonstration with no commitment. 1 5 7
The Shop Operator
I found no public pricing information at all — no per-agent figure, no tiers, no billing period, no add-on prices — and every route on the captured pages ends at a demo request. A support lead cannot begin to compute the annual invoice for their agent count from public pages. 1 5
The Integrator
Every captured page routes to a roughly thirty-minute personalised demo or a self-guided tour, and we found no public information on tiers, per-agent prices, billing period, minimum term or any price at all. A support lead cannot begin to compute the annual invoice from what is published. 1 5
The Skeptic
Every captured page routes the buyer to a roughly thirty-minute demo or a free maturity benchmark; I found no public prices, tier definitions, per-agent maths, billing period, or any statement of where SLA capabilities or the AI features sit — included or metered. A support lead cannot compute any part of the annual invoice from public pages. 1 5
Questions about Vivantio
Is Vivantio European?
Not determined: the vendor’s pages as captured do not say where Vivantio is based.
Where does Vivantio store data?
Not stated on the vendor’s pages as of 13 Oct 2026.
Does Vivantio have a free plan?
Not stated on the vendor’s pages as of 13 Oct 2026.
What are the best alternatives to Vivantio?
As of 21 Oct 2026, the panel rates Zendesk (3.5/5), Intercom (3.5/5) and HubSpot Service Hub (3/5) highest among the other 28 Customer Service & Helpdesk products evaluated. Ratings that look equal are rounded to half stars; the order uses the unrounded rating, then the name. The highest-rated European alternative is Zammad (EU-Made). Ratings are the AI panel’s opinion, formed from public evidence: how scores are made. The full list, with European products first: Vivantio alternatives.
Where this could be wrong
- Evidence ages. The oldest capture behind this page is from 13 Oct 2026. Vendors change pricing and policies without notice; every fact reflects its source as of the capture date shown in the registry.
- AI can misread a source. Extraction and judgement are automated; a citation guarantees traceability, not infallibility. If something here is wrong, say so — no account needed, every report is decided within 5 business days, and accepted corrections are published.
What we left out
A claim that does not survive our checks costs us the claim, not the page. This is what was taken off this one.
- 11 product facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 2 integrations facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 6 of the readings below were written against an earlier fact sheet — a fact has been corrected, added or pulled since. Until the panel next runs on this product you are reading the older judgement. Know more? Tell us
Sources (10)
The pages every claim on this page was read from — each one checked, dated, and kept verifiable.
- 1 Vendor page www.vivantio.com Checked 13 Oct 2026 Details →
- 2 Ticketing, queues & SLA — found from sitemap support.vivantio.com Checked 13 Oct 2026 Details →
- 3 Ticketing, queues & SLA — found from sitemap support.vivantio.com Checked 13 Oct 2026 Details →
- 4 Channels in one queue — found from sitemap www.vivantio.com Checked 13 Oct 2026 Details →
- 5 Knowledge base & deflection — found from sitemap www.vivantio.com Checked 13 Oct 2026 Details →
- 6 Knowledge base & deflection — found from sitemap www.vivantio.com Checked 13 Oct 2026 Details →
- 7 Customer data protection — found from sitemap www.vivantio.com Checked 13 Oct 2026 Details →
- 8 Customer data protection — found from sitemap www.vivantio.com Checked 13 Oct 2026 Details →
- 9 Integrations & API — found from sitemap www.vivantio.com Checked 13 Oct 2026 Details →
- 10 Integrations & API — found from sitemap www.vivantio.com Checked 13 Oct 2026 Details →