AI is the Ultimate Accounting Assistant, Part Two (with Guest Sasha Orloff)
Download MP3Brian F. Tankersley, CPA.CITP, CGMA: Welcome
to the Accounting Technology
Lab, brought to you by CPA
Practice Advisor, with your
hosts Randy Johnston and Brian
Tankersley. What I was gonna
what I was gonna ask, I guess,
is that you know, Sasha, you've
introduced a lot of things, and
this whole paradigm shift is
really intimidating to a lot of
us that have been in this
profession for a long time, you
know, how do you know? Short of
taking the ice bucket challenge
and just jumping in with both
feet, how do you get started
down this journey effectively
without you know without
completely shutting the door on
all the stuff you've built?
Sasha Orloff: I mean, I think
about this stuff all the time as
it comes to like our sales
process and our optimization
process. Yeah, I would say so.
If you're listening, like if
your listeners are there, and so
I guess if we have a bunch of
firms that use Puzzle that start
taking the last week of the
month, you might have more
competition on your podcast,
because people are going to want
to figure out what to do with
the last week of every month.
No, Brian, back to your point.
Yeah, I think the natural
tendency I think for people that
are new to AI is they think
about they give it a task that
is kind of frivolous or not
really you know helpful, and
then they go, oh, like that's
kind of cute. I think give it
something really hard and
obscure to see. There, like
think about what in your last
month of closing process for
your clients, what was something
complex that just took you a lot
of time. Now, is it going to get
it right out of the box?
Probably not, because you're
not. Most people aren't used to
describing their problem in an
articulate way with all of the
different steps, and I use the
analogy of like telling my kids
to go clean their room, and I
say go clean the room, and I
know what that means, but like
what are the chances that they
go and they clean the room to
the same level that I thought
about? And so when you think
about how do you articulate to
AI, I have to say, go into your
room, scan the room. Take your
bed, move your sheets and your
duvet, cover it over. Put the
pillow at the top so it's
perpendicular to your bed at the
top. Take your clothes, take the
shirts, fold up all the shirts,
put them in the shirt drawer.
Take the underwear, put them in
the underwear drawer, socks and
sock drawer. Or I could come in
and say, hey, just if I say
clean your floor and make your
bed, and I open up the closet
door and everything comes
tumbling out. Well, they said
you said clean the floor, right?
So I think a lot of you point
me. So take something that is
hard and just put it into AI.
Don't use any client
information. Just like try
something obscure. Take your own
personal data. Take something
that's low risk, but something
hard and put it in, and learn
how to really articulate your
judgment in a way that is just
like you would explain to a
brand new super smart person who
doesn't know anything about
accounting. Try that. That's
what I say now in Puzzle, which
not here to mention like a sales
purpose again, because
everything is opt out. You can
go build agents, and we put a
bunch of safety guards in there,
so nothing ever changes in your
ledger unless you type in YES.
Now, of course, you can always
undo it and like fix it because
it's still ledger. Like you can
click around, but we make it so
that you can just throw all
sorts of crazy stuff. You can
choose from lots of templates
that we build that are generated
on skills and do it now. If you
don't want to use puzzle because
that's like too much, like I
don't want to switch ledgers and
do something, you'll notice that
one of the limitations of the
industry, because of how things
were architected 30 years ago,
is the API or the interface
between softwares, how they talk
to each other, is a CRUD API.
You can create, read, update,
and delete transactions or
journal entries. Now that is
helpful. You know that's
interesting. Let's take out some
transactions. Let's do something
with them, and let's change
them. Obviously, accounting is
way more complex than just
changing a categorization of a
transaction or something. But
you know you can take around and
you can try individual things.
Just take a transaction. You can
put just a transaction because
you can literally copy and paste
it into ChatGPT or Gemini or
Claude or Anthropic, and just
say, change. Here's a chart of
accounts. Just anonymize a chart
of accounts. Upload a
transaction system. Say, hey,
transaction description came in
like this. How would you
categorize this?
That's a very low risk way, a
low touch way to start playing
with it now, of course, that's
frivolous and not that
interesting. But like, if you're
just like, I've never done this
before, copy a transaction
description, copy your chart of
accounts, paste into an AI,
scrub for any personal
information about your clients,
and just say, hey, what category
do you think this would? What
category do you think this
should go to? Again, so listing.
Yeah.
Brian F. Tankersley, CPA.CITP, CGMA: So
what I hear you saying is that
you're going to generate
prompts, and a prompt in your
mind is really analogous to
almost a checklist. And you're
going to set up a you're going
to and so that's how you're
going to define this is how you
clean your room or this is how
you this is how you reconcile a
bank statement and so forth.
There, okay, well, good. I think
you've I think clarifying. These
terms, because there are a lot
of terms like agents and prompts
and things like that, and you
know when a lot of us enjoyed
the Matrix movies, and you know
when we see agent, we see Agent
Smith, and he's the bad guy, and
so it's helpful to have that
perspective from you about this,
because again, you remember
you're setting it up where nope,
nothing happens unless you say
okay, and I think that's the
important thing that we have to
remember with this: is that you
are still the boss.
Randy Johnston: And Brian, you
heard him say earlier he has the
AI pill from Silicon Valley. So
I think in our time together
that you know we've discovered
that autonomous means that the
books can close themselves, and
you find the mistakes later. But
the alternative is, you know,
the person deciding before it
posts through these agents, and
the profession really doesn't
need AI that removes the
accountant; needs AI that makes
the accountant better and the
ledger able to close itself. So
I think that's really nifty
because you know. Bottom line is
AI can't be accountable by
itself. So, Sasha, any parting
thoughts for our listeners today
that we that you think is really
important that we know?
Sasha Orloff: I think that
everybody should start exploring
and testing with options
themselves in the market, you
should constantly be evaluating
how do I get better, because
other people are, and if your
firm isn't or you aren't as
maybe the leader of your firm,
you're going to set the culture
change that it is okay to play
with this again in the safety
way. Like, don't just shove all
of your client information into
some random AI tool, like you
said, but like you should play
with this. You can't. You can
play with this. Give some
guardrails of like some baby
steps that people can. I do
fundamentally believe that firms
that adopt and start learning
are going to be the ones that
are going to make way more money
than ever before, and we're
seeing it in almost every other
profession that has adopted AI,
from lawyers to engineers, other
professional knowledge work,
they're making more money and
they're delivering a better
product to their colleagues, to
their companies, to their
clients, and it is not too late.
This level of automation we've
been hearing about in the news,
we read about on Twitter the
promise of productivity in
accounting. I would argue, I
think fairly credibly, it's only
really started this year. It's
been somewhat novelty. It's been
somewhat problematic last year.
I would say this year, right
now, we're finally starting to
see the actual productivity with
actual case studies and actual
implementation. That is a
lesson. It is not too late. Just
get started, and have fun and
enjoy it. If done the right way,
it doesn't have to be Agent
Smith. It can be Q from James
Bond. It can be the helpful
technologist that is here to
make you the best version of
yourself.
Randy Johnston: Beautiful. So,
Brian, any other thoughts,
questions?
Brian F. Tankersley, CPA.CITP, CGMA: You
know, I've been reflecting on
this, and it reminds me of a
podcast I listened to recently
from John Kiriaku. That's a it
was a CIA analyst that he was
describing the experience of 911
in the CIA offices, and
everybody was looking up at the
towers in flames, and finally at
the end, somebody at the back
yelled, "Will somebody please
lead? Okay, and then action
started happening. Okay, and I
think that's the challenge to
our profession: is you know you
may be comfortable, you know you
may have started like I did in
the days when people smoked at
their desks and had a 10 key on
their desk in a five 714 column
paper, but I got to tell you,
those people that refuse to
change from that world, they're
in the distinct minority, and
they're not, and they're
struggling to make a living now.
Okay, so I think it's a matter
of it's a matter of of you
getting out of your comfort zone
and providing the leadership in
these uncertain times with this
evolving with these evolving
things here, you know you don't
have to buy any particular
solution, but you need to get
your hands dirty, okay? Because
the problem here is that you
know if you don't know anything
about cars and you walk into a
car dealership, they're going to
have their way with your bank
account, okay? The thing you've
got to do here is you've got to
get you've got to get enough so
that you can develop the filter
of this works, this doesn't, and
you can lead. Okay, and so I
would just say you know for the
love of God, you don't have to
do what we tell you to do, but
please do something. Okay,
that's how I'd say it.
Randy Johnston: So, Brian, thank
you for that. And I was
thinking, with Sasha's taste,
maybe you should have talked
about like carbon fiber bikes
rather than cars. But I don't
know what he's got because we
didn't talk about that. However,
Sasha, your time is valuable. We
thank you, as we appreciate you
being here as a our guest, and
we. Wish you continued and
greatest success. So, until you
are able to join us in another
accounting technology lab,
Brian, Sasha, and I all wish you
a very good day.
Brian F. Tankersley, CPA.CITP, CGMA: Thanks,
guys. Thank you for sharing your
time with us. We'll be back next
Saturday with a new episode of
the Technology Lab from CPA
Practice Advisor. Have a great
week.
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