Intelligent automation is evolving from a cost-reduction tool to a strategic driver for revenue growth, talent enablement, and risk reduction, with AI becoming central to its next generation.
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When you look at intelligent automation right now there's a big shift going on with our clients.
We actually look at three stages of intelligent automation. We call them generation one,
generation two and generation three. Intelligent automation isn't something new. It has been there
for basically the last 10 years. In the last 10 years the conversation was very much around
cost reduction, driving efficiencies
and a lot of our clients invested in intelligent automation programs in the last 10 years.
We're now at a pivotal point where people are starting to move towards generation two
which means that the conversation in addition to cost is shifting to three other value drivers.
So people are starting to explore what does intelligent automation mean for revenue growth,
how can I enable my revenue growth, what can intelligent automation mean for talent. How can I
attract and retain my talent in the organization. And thirdly people start thinking around how can
intelligent automation help me to reduce my risk. So what we see is the generation two
to generation three is very much a shift towards really putting artificial intelligence at the core
of intelligent automation. Which means again the conversation is shifting. So we already have cost.
Cost stays important. We already talked around talent, risk and revenue enablement basically. But
that also means that we're adding an additional conversation on top of that which is around
insights. What kind of insights can we drive in the organization through artificial intelligence.
So when clients move from generation one to generation two and ultimately to generation
three of automation, what we see throughout that journey certain capabilities or certain
technologies become more and more relevant and more and more important basically.
And I think the three especially related to Mavim are task mining and process binding,
it is bpm and it's basically DTO or building a digital twin. And I think in those three
areas you bring a lot of value we can actually then bring to our clients together. What makes
it very interesting for us is you actually have a product we can use off the shelf. And one of the
the great things we do with your platform is actually we package it together with our I.P.
basically. So the value we bring to our clients is we don't just walk in with a platform we actually
walk in with a platform kind of loaded with our I.P. which is for example our process libraries.
Which means that the value we bring to the client is that we can much quicker start actually with
that automation journey with a client because there's a whole library there of best practices
basically. And what we can actually do is combine that with intelligence coming out of the client.
We can actually do a lot of process mining and task mining and actually compare that to our
library of best practices. So I think that's one big point of value and the other point is when
we're finished with the program and actually handing it over back to the client basically
we can actually leave that platform behind as a managed service. So you're not walking out
and taking everything away. Actually the client can continue to use that platform
and actually continue to actually use those best practices in their own environment.
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