How Pre-Trained AI Copilots Transformed Finance in Days, not Months

What does "ready to deploy" really mean with Hyperbots?

Jace Kitchen: Well, thanks as always for joining today, Brian. Today's discussion will be about Hyperbots' ready-to-deploy features. First question for you, you went live with Hyperbots in record time. What does ready to deploy really mean?

Brian Kalish: A pleasure to be with you here today. So it means that co-pilots arrive pre-trained and this is what's key with these prebuilt ERP connectors. Instead of blank slate AI that needs sometimes months of training, we got day one accuracy and simply mapped our fields.

How did the pre-trained agents shorten your timeline?

Jace: And how did the pre-trained agents shorten your timeline?

Brian: Oh my gosh. The invoice processing copilot came trained and I know this probably will sound crazy but on millions of invoices. It extracted, it matched, it coded. And again, I think it's healthy for people to have skepticism when we use some really robust numbers. But we did the analysis and I actually had my folks double and triple check it: 99.8% accuracy the first hour we switched it on. No data science sprint was required.

What advantage did Hyperbots' pre-built connectors give you?

Jace: And many vendors claim ERP connectors. What advantage did Hyperbots' pre-built connectors give you?

Brian: So in our case, we plugged straight into SAP and NetSuite in four weeks. No middleware, no custom API contracts. You know, the quotes that we were getting from other folks was four months just to build the SAP integration.

Could you describe the no-code configuration experience?

Jace: Yep. Very complex and the timeline definitely extends. Could you describe the no-code configuration experience?

Brian: Browser UI with sliders and dropdowns. We literally just set approval hierarchies, GL segments, matching tolerances without writing a line of code. That alone shaved probably three weeks that we had budgeted for scripting.

How long did your user acceptance testing actually take?

Jace: And how long did your user acceptance testing actually take you guys?

Brian: Eight business days. Not just eight days—eight true business days. Because the agents were already accurate, the UAT was truly a validation. It wasn't a bug chasing exercise that we had to go through.

Did you need a third-party system integrator at any stage?

Jace: Sure. And did you need a third-party system integrator at any stage?

Brian: The happy answer for us: zero. Hyperbots team handled it all. No SIs, no 20% project surcharge. It was a wonderful experience.

What was your timeline from kickoff to full production?

Jace: And give me a timeline from kickoff to full production.

Brian: I would say four weeks for invoice and vendor copilots. In week six, we added payments. The projections we were getting from others for equivalent scope was 12 to 24 weeks.

Where did competitors struggle without the pre-trained models?

Jace: Yeah, much less time. And where did competitors struggle without the pre-trained models?

Brian: That was interesting. We were asked for 10,000 historical invoices to label, then four weeks of training window. You know what's key to us in finance is ROI. And that just simply would delay the ROI. It ties up staff. What was really incredible was Hyperbots skipped that entirely.

How were security concerns addressed during rapid deployment?

Jace: And rapid deployment often raises security concerns. How were they addressed for you guys?

Brian: What's good from our perspective is the connections used read-only scopes until we hit cutover. The data is encrypted end to end and ties to, in our case, Azure AD. Our CISO signed off in the first security review that we did.

How much customer effort was required during deployment?

Jace: And how much customer effort was required during deployment?

Brian: Sure. We provided ERP credentials, we defined the workflows, we joined, I'd say, three design workshops. Hyperbots handled everything else—beautiful.

Did the no-code approach ever hit a wall where you needed custom code?

Jace: And did the no-code approach ever hit a wall where you needed custom code?

Brian: I'll add the caveat: not yet. But even we had a bespoke grant funding field for our R&D team that was added via the UI and it appeared in the GL mappings basically instantaneously.

How did the rapid UAT impact stakeholder buy-in?

Jace: How did the rapid UAT impact stakeholder buy-in?

Brian: This is, I think, one of the more powerful elements: seeing invoices post correctly in the sandbox after the first day convinced literally all the skeptics. Finance VP stopped worrying about the long change management curve that we were on.

Beyond speed, what cost savings came from a ready-to-deploy model?

Jace: Yep. Change management—top of mind for everybody. No one wants to do it, so I hear you. And beyond speed, what cost savings came from a ready-to-deploy model?

Brian: Sure. First off, no SIs, no lengthy internal testing cycles. Faster discounts were captured. Again, as I kind of scratched this out, I would say probably in the ballpark of like $150,000 versus, say, a traditional six-month rollout.

If you acquire a new subsidiary tomorrow, how long would it take to roll out Hyperbots there?

Jace: Sure. And last question for you, Brian. If you acquire a new subsidiary tomorrow, how long would it take to roll out Hyperbots there?

Brian: Okay. Assuming we have ERP access, three to four weeks—mostly configuration, probably some light UAT. The heavy lifting is already baked into the agents.

How does Hyperbots' deployment model stack up against competition?

Jace: Sure. And I guess final final question for you. How does Hyperbots' deployment model stack up against competition?

Brian: Sure. Others offer connectors that need enhancements, and that's the last thing anyone wants to hear about. They don't necessarily offer pre-trained models. Hyperbots delivers instant readiness, no-code tailoring, I would say sub-eight-week go-lives. That to me is really a strategic edge when finance—we literally, especially in this environment—can't wait a quarter to see value.

Jace: Awesome. Well thank you Brian. Piece of cake.

Brian: Always a pleasure.