Katie Bianchi

into knowledge that feeds our co-pilot so that that question may have been asked nine times in the past and a human may have had to engage to answer it. But on the 10th time or the third time now that that question gets asked, we wanna have a solution for it.

into knowledge that feeds our co-pilot so that that question may have been asked nine times in the past and a human may have had to engage to answer it. But on the 10th time or the third time now that that question gets asked, we wanna have a solution for it.

into knowledge that feeds our co-pilot so that that question may have been asked nine times in the past and a human may have had to engage to answer it. But on the 10th time or the third time now that that question gets asked, we wanna have a solution for it.

And we're building our processes to ensure that we have enough data that as AI and AI reasoning gets smarter and better, that that capability is built in and it's actually something we can leverage from the start.

And we're building our processes to ensure that we have enough data that as AI and AI reasoning gets smarter and better, that that capability is built in and it's actually something we can leverage from the start.

And we're building our processes to ensure that we have enough data that as AI and AI reasoning gets smarter and better, that that capability is built in and it's actually something we can leverage from the start.

The second example would be, as you think about this whole customer journey and customer lifecycle from pre-sales to deployment to ongoing value realization and support, you actually want a fully closed system. And the way that I think about it through the persona of a customer or a partner who's deploying our product is,

The second example would be, as you think about this whole customer journey and customer lifecycle from pre-sales to deployment to ongoing value realization and support, you actually want a fully closed system. And the way that I think about it through the persona of a customer or a partner who's deploying our product is,

The second example would be, as you think about this whole customer journey and customer lifecycle from pre-sales to deployment to ongoing value realization and support, you actually want a fully closed system. And the way that I think about it through the persona of a customer or a partner who's deploying our product is,

is you no longer want to hand them a manual runbook for how to deploy a product. You want to hand them a copilot. And that copilot will have all of the information around every interaction that we've had specific to selling, architecting, deploying, and supporting a product that has looked like what they are going to deploy to.

is you no longer want to hand them a manual runbook for how to deploy a product. You want to hand them a copilot. And that copilot will have all of the information around every interaction that we've had specific to selling, architecting, deploying, and supporting a product that has looked like what they are going to deploy to.

is you no longer want to hand them a manual runbook for how to deploy a product. You want to hand them a copilot. And that copilot will have all of the information around every interaction that we've had specific to selling, architecting, deploying, and supporting a product that has looked like what they are going to deploy to.

And if you imagine your deployment leader, whether it's a third party partner you want to do your work or your team going in and as part of the process, getting a technical strategy automatically created for them from all of that learning and all of the net new inputs specific to that customer that have happened in the pre-sale.

And if you imagine your deployment leader, whether it's a third party partner you want to do your work or your team going in and as part of the process, getting a technical strategy automatically created for them from all of that learning and all of the net new inputs specific to that customer that have happened in the pre-sale.

And if you imagine your deployment leader, whether it's a third party partner you want to do your work or your team going in and as part of the process, getting a technical strategy automatically created for them from all of that learning and all of the net new inputs specific to that customer that have happened in the pre-sale.

So all they need to do is pick up a, what I would call dynamically generated playbook and execute to that. That's what we're building towards.

So all they need to do is pick up a, what I would call dynamically generated playbook and execute to that. That's what we're building towards.

So all they need to do is pick up a, what I would call dynamically generated playbook and execute to that. That's what we're building towards.

It's not necessarily collect everything. It's collect what adds value. And honestly, you have to go through a journey to learn what adds value.

It's not necessarily collect everything. It's collect what adds value. And honestly, you have to go through a journey to learn what adds value.