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Welcome to Briard!

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If you manage compliance or security, you
probably spend a lot of time asking the

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same questions.

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Which AI tools are people using?

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Who is responsible?

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And what still needs a decision?

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Let's see how Briard brings that work
together.

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You don't need a technical background to
follow along.

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We're using a fictional company and sample
information throughout this

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demonstration.

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Here on Home, Jane sees one clear next
step: provide proof for an AI tool.

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The explanation tells her why it matters,
and the button takes her straight to the

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work.

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Start here each day, check the place you're
reviewing, and focus on the next

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useful action.

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First, let's open My AI tools.

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This is your shared list of the AI tools
your organization has recorded.

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Choose a tool on the left to see its
record.

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In this sample, we have tools used in a
secure project, the main work environment,

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and clinical operations.

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That context matters.

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A tool used for everyday office work may
need a different review from one used

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with sensitive information.

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The guided view keeps the next question
easy to find.

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When you need more detail, open See full
record.

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You can review the profile, answers,
supporting proof, and things still to fix.

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Your team has one place to return to,
instead of rebuilding the story from emails

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and spreadsheets.

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What if a tool isn't on the list yet?

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Open More, then Add an AI tool.

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We'll add a fictional Contract Review
Copilot.

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First, enter the name and provider.

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Next, explain its planned use in everyday
language.

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Here, it helps draft contract summaries,
and a person reviews the result.

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Then identify the kinds of information
involved.

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You don't need to paste in a contract or
share someone's private details.

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Finally, review the summary and create the
record.

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That's the starting point: a named tool, a
clear purpose, and a record your team

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can work on together.

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Adding the record doesn't automatically
approve the tool.

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It gives you a practical place to complete
the review.

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Now let's look at an existing tool that
needs attention.

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Briard asks one question at a time, and it
gives you a useful option when you

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don't have the answer yet.

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You can say you're not sure.

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That keeps uncertainty visible, so the next
person doesn't mistake a guess for a

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confirmed fact.

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This sample asks whether we have proof for
an answer.

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An answer and its supporting evidence are
different things.

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The Add proof page is where an authorized
person can provide the supporting file

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or reference in their own workspace.

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Uploads are disabled in this public sample.

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For your daily work, the idea is simple:
record what you know, identify what needs

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checking, and keep the supporting material
with the right tool.

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You can also reduce some of the manual
work.

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Under More, open Connect work tools.

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Briard guides you through choosing a
supported source, such as Microsoft 365.

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The connection page explains what it can
see and what it never collects.

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This discovery step looks for approved
information about tools and usage; it

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doesn't read employees' messages, files, or
prompts.

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If you aren't the administrator, there's a
clear way to ask your IT person for

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help.

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Here, we'll use the explicitly labeled
sample consent.

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The demonstration finds likely AI services
and separates a new record from

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existing matches.

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In your organization, an authorized
administrator must approve the real

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connection.

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You then review what was found and add
anything discovery couldn't see.

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Once the records are in place, What needs
me helps you decide where to spend your

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time.

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Choose the part of the organization you're
reviewing, then read the next action

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and its explanation.

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You don't have to work through every detail
on every visit.

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Start with the item that needs a person,
follow the button, and bring back the

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answer or evidence that's missing.

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This is especially helpful when you're new
to the platform: the next step is

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connected to the record it belongs to.

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Briard helps organize the follow-through,
while your team stays responsible for

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the decisions.

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Next, let's open My AI policy.

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This brings policy work into the same
workspace as your AI records.

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At the top, you can see the draft's status
and the next action.

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Review my answers takes you through
straightforward questions, such as the

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organization name, who owns the policy, and
what information employees must not

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put into an AI tool.

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The draft is organized into sections, so
you can review one topic at a time.

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Here are the rules for acceptable and
prohibited use, followed by a short
employee

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guide.

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That makes the policy easier to discuss
with the people who will actually use it.

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You can also set a review schedule.

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The aim is a policy your team can maintain,
rather than a document that's written

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once and forgotten.

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A draft is only the beginning.

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Approve and publish shows who needs to
review the policy before it becomes the

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approved version.

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In a signed-in workspace, you choose
eligible reviewers and the required roles.

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This sample doesn't send approval requests.

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Keeping the draft and published version
separate lets your team work on changes

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while the current approved policy remains
in place.

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Share and track is the next stage, where
the approved policy can be distributed

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and acknowledgments recorded.

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You can see who has responded without
treating a response as proof that someone

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has learned everything.

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For a compliance manager, the benefit is
visibility: what is being edited, what

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needs approval, and which version people
should be using.

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When someone asks for an update, open Make
a review package.

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Start with who it's for: a customer,
advisor, insurer, or your leadership team.

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We'll choose Leadership, select the
relevant AI tool, and make the package.

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The new executive package appears in the
recent list, with a download available.

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You're bringing recorded information
together for a specific review, rather than

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starting from an empty document each time.

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Check the package and any open items before
sharing it outside your team.

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A package helps organize the evidence; it
doesn't turn missing proof into

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approval.

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The same habit applies whenever a colleague
asks about a tool: open the current

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record, review what's supported, and share
the appropriate information.

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One quick note about alerts.

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Home also shows AI incident alerts, with a
review priority and a link into KAIDAN.

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An alert means something needs checking; it
isn't proof that harm occurred.

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KAIDAN supports the deeper incident
investigation.

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We'll cover that in a separate walkthrough.

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For now, you know where to start when an
alert needs attention.

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You don't have to remember every step from
this video.

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Learn Briard provides short guided lessons
for common tasks, including adding a

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tool, answering questions, and preparing a
package.

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Open a lesson when you're ready to do that
work.

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The Help page also explains common
questions and gives you a route to support.

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In your signed-in workspace, you can ask
for help and follow your request.

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This sample won't send a message.

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If you're just getting started, keep your
first session small: record one AI tool,

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answer the first question, and identify the
person who can provide any missing

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proof.

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You can build from there as your team gets
comfortable.

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That's a practical first day with Briard:
see your AI tools, understand what needs

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attention, keep your policy current, and
prepare information for the people who

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need to review it.

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You don't need to become a technical
specialist to keep that work moving.

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Ready to begin?

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Visit briard dot A I and choose Start
thirty days free, or sign in to your

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existing workspace.

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If you'd like help choosing your first
steps, contact our team at support at

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briard dash A I dot app.

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Tell us what your team is trying to manage,
and we'll help you get started.

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Start with one tool and one clear next
action.