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SoftwarePublishers, technical support, training

Turn your experts' experience into a memory your teams and customers can query.

How this software drives a given machine, a given controller, a given customer configuration: that knowledge sits in the manuals, in thousands of resolved tickets, in the release notes, and above all in the heads of a few experts. When they're busy, away or gone, the answer waits. GenieFactory turns it into a living memory: your technicians, trainers, integrators and customers ask their question and get the answer, with the source.

Manuals · tickets
a single memory
Sourced
every answer
Customer portal
if you open it up
Illustrative example
The reality

Knowledge about running the machines lives in a handful of heads.

  1. The same question comes back to support, and the answer depends on who picks up.

    A post-processor setting, a behaviour on a given version, a specific customer configuration: the answer exists in a ticket resolved two years ago, but nobody can find it. The diagnosis gets redone.

  2. Manuals, tickets, release notes, internal forums: it all exists, none of it is connected.

    The documentation describes the product, the tickets describe customers' reality, the experts make the connection. That connection is written down nowhere.

  3. Training a technician or an integrator takes months.

    Onboarding means reading manuals and listening to senior staff. When an expert leaves, part of the knowledge about the machines leaves with them.

Three uses

The right answer about the machine, without waiting for the expert.

Find

The answer, with the ticket and the manual page.

A technician, trainer or customer asks their question in plain language. The memory searches the manuals, resolved tickets, release notes and known configurations, answers, and cites where each piece comes from.

Sample question“How do I configure this post-processor on this controller?”

Produce

Guides, support answers and training materials from what already exists.

Application note, ticket reply, training module, configuration sheet: the memory prepares a draft from what has already been written and approved, in your format. The expert reviews, corrects, approves. The answer joins the memory.

Verify

What a new version changes, and what it makes obsolete.

With every version, the memory flags the guides, answers and sheets that relied on behaviour that has changed. Documentation duplicates come to light. What gets shared with customers stays consistent with the current version.

Every ticket resolved, every answer approved enriches the memory. The experts' knowledge no longer depends on their schedule.

Three situations

Three moments where the memory makes the difference.

An expert retires.

Situation
Their answers, notes and handover notes go into the memory.
What you do
Their successor asks it the questions they would have asked the expert.
Result
Knowledge about the machines stays in the company.

A new technician joins.

Situation
They need to know the machines, the versions and the customer configurations.
What you do
They query the memory instead of reading manuals and waiting for the expert.
Result
Their ramp-up is measured in weeks, not months.

A customer asks a question on Friday evening.

Situation
Support is closed until Monday.
What you do
The memory answers from the tickets and manuals, with the source, within the scope you've opened up to customers.
Result
On Monday, support doesn't start from zero.
In production · SoftwareGO2CAM

Passing on the knowledge of how the machines run.

At GO2CAM, a software publisher for machining, the knowledge of how the machines run (configurations, post-processors, resolved customer cases) is brought together in a memory the teams query.

In production
Who it's for

Software publishers and their support teams.

Decision-maker
CEO, CTO, operations director.
Champion
Head of support or head of training.
Users
Support technicians, trainers, integrators, pre-sales, and, if you choose, your customers.
Approvers
CIO, product manager, legal for the customer-facing scope.
Signals to watch for
  • An expert leaving or retiring
  • Support growing faster than the team
  • Expansion into new markets or new machines
  • A wish to open a customer portal
Use cases

What the memory already does in this sector.

Real cases, in production or delivered, to see how each use plays out on the ground.

How we start

One family of machines, one source of tickets, one first use.

  1. Build

    We model your product and your installed base.

    A GenieFactory expert formalises your products, versions, machines and controllers, vocabulary, and the hierarchy of sources (manual, release note, resolved ticket, internal memo) with your experts.

  2. Brain

    We index your documents and your tickets.

    Manuals, release notes, resolved tickets, configuration sheets, training materials: the memory is built within your own environment, connected to your ticketing tool and your documentation.

  3. With you

    Your teams query it, then your customers.

    Support and training first, internally. Then, if you decide to, a scope opened up to customers, with the rights you set.

FAQ

Frequently asked questions

No. The memory is hosted within your own environment, and the data is never used to train an external model.
Yes, within the scope you open up (public documentation, approved answers), with your own access rights. The rest stays internal.
The release notes are indexed, and the memory flags the answers and guides that relied on behaviour that has changed.
No. The memory connects to what you already use.
Next step

Your experts know. Give your teams a memory that answers.

30 minutes with an expert to map your sources, your recurring questions, and the first use to activate.

Your machine experts' know-how, accessible to your teams and your customers | GenieFactory