The product
Not a helpdesk with AI added.
Traditional support software organises messages. Resolivo understands the customer situation behind the message — and that difference is structural rather than a feature, which is why it shows up in every part of the product.
The difference
What happens when a customer gets in touch.
The left-hand column is what most support software does. The right-hand column is what has to happen for the customer to get a real answer — and somebody is doing it either way.
Traditional support software
- 1Message arrives
- 2Ticket created
- 3Agent replies
- 4Ticket closed
Resolivo
- 1Customer contacts you
- 2Customer identified
- 3Business context assembled
- 4Problem understood
- 5Knowledge and policy applied
- 6Right person or action determined
- 7Issue resolved
- 8Outcome becomes knowledge
The loop
Know → Resolve → Learn → Improve.
Four stages, and the product's navigation follows the same order — so what you learn on this site is what you recognise after signing in.
Know
Understand the customer and their history before anybody starts typing.
Resolve
Turn questions and problems into structured work, including the part support cannot do alone.
Learn
Turn repeated issues into better knowledge and fewer future questions.
Improve
Find the customers who need attention before the relationship deteriorates.
Case types
Not everything is a ticket.
Five customer-facing categories, and each one changes what should happen. A complaint logged as a generic ticket is a complaint nobody reviews.
Question
The customer needs information they could reasonably have expected to find.
"Does my plan include phone support?"
- Answer from verified knowledge where one exists
- If no article exists, this counts towards a knowledge gap
- Repeat questions on one topic raise a content task
Problem
Something is not working the way it should.
"The invoice download button does nothing."
- Checked against active incidents before anything else
- Reproduced and recorded, so a second report is faster
- Repeated problems roll up into a root cause
Request
The customer wants something changed or done.
"Please add my colleague to the account."
- Checked against entitlement and authority before promising
- Anything touching money or access needs a person
- Often creates an internal action outside support
Complaint
The customer is dissatisfied with something you did.
"This is the third time I've had to chase this."
- Acknowledged explicitly — never merged into a routine reply
- Counted separately, so patterns surface before a pattern is obvious
- Reviewed by somebody other than the person who handled it
Incident-related
This is one report of something affecting several customers.
"I can't reset my password." — and thirteen others said so too.
- Attached to the incident, inheriting its priority
- Updated by the incident's communication rather than individually
- Resolved in one action when the incident closes
Nine areas
What the product covers.
Inbox
Every conversation in one place, with the customer's history already attached.
ExploreCases
Turn a conversation into resolvable work — including the part that happens outside support.
ExploreCustomer memory
Remember the relationship, so nobody has to explain your business back to you.
ExploreAI
Understand, suggest and act — with the evidence shown and the limits enforced.
ExploreKnowledge
Verified answers your team and your AI can both rely on.
ExploreCustomer health
Know who needs attention before they decide, with the reasons shown.
ExploreIncidents
One underlying problem, every affected customer, one message.
ExplorePromises
Every commitment made to a customer, tracked like the obligation it is.
ExploreInsights
What customers struggle with, what is not resolving, and where answers are missing.
ExploreIn detail
15 areas, 89 pages.
The full map, if you would rather read than be shown. Every one of these is a real surface in the product.
Inbox
Every channel in one place, with the customer's history attached to each message.
6 pagesCustomer memory
The whole relationship, as records rather than as somebody's recollection.
7 pagesHelp centre
Self-service that knows when to stop being self-service.
5 pagesCustomer portal
A signed-in home for the customer, so the answers can be specific.
5 pagesCases
The central object: the whole problem, not just the thread.
7 pagesIncidents
Group related cases, communicate once, close them all together.
6 pagesSLAs
Response and resolution targets that a small team can actually maintain.
5 pagesAutomations
Narrow, legible rules for the handful of things worth automating.
5 pagesAI
Understand, suggest, and act inside rules you set — with the evidence shown.
8 pagesKnowledge
Verified answers, with owners and expiry dates, for both people and AI.
6 pagesInsights
Reporting that answers an owner's questions rather than a contact centre's.
6 pagesCustomer health
Three explainable states, each with the evidence that produced it.
6 pagesCustomer success
The proactive half, sized for a small team rather than an enterprise function.
6 pagesFeedback
One question, answered honestly, that creates work when the answer is no.
5 pagesTrust Centre
Security, customer data, AI permissions, audit and retention — stated plainly.
6 pagesAnd these
8 things that deserve their own page.
Promises in particular. It is the idea a support lead has not seen in a helpdesk, and filing it under cases would have buried it.
The compounding part
Every conversation makes the company smarter.
A customer asks
A question arrives, from whichever channel they chose.
A case is created
With the customer's history and entitlement already attached.
It is resolved
And what actually fixed it is written down in a line.
Knowledge improves
A question asked eleven times becomes a verified answer.
Your content improves
The answer reaches the help centre and your website.
Fewer customers ask
And the ones who do get a better answer, faster.
See it against your own customers.
Connect the mailbox they already write to and the first conversations arrive with context. Questions to [email protected].
Keep the mailbox you already use · The AI is never metered · [email protected]