Meet Auri Auri

The report is where everyone else stops. Auri keeps going.

A one-time analysis is a snapshot. Auri is your always available advisor and teammate, not a report you file and forget.

The living advisor

A smart AI consultant who knows every detail of your analysis, never loses her enthusiasm, and doesn't bill you for every hour.

Question any finding, pressure-test a recommendation, or brainstorm the plan, whenever you need to think it through. A consultant would bill you for another engagement to do that. Auri is already included.

Ask Auri
How much of the 38% non-compliance is a system gap versus a training gap?

The honest answer: the analysis doesn't split the 38% into a clean system-versus-training percentage, that breakdown wasn't measured in the source documents. But the evidence points clearly to where the weight sits, and most of it is a system gap.

Here is what the data shows.

System gap, the larger share

  • Coupa doesn't enforce approval routing or flag a missing VP Finance approval. It accepted an out-of-tier approval on PO #4471 without challenge.
  • There is no time-in-stage clock, so stalled POs in the $15K–$50K band sit unflagged until someone happens to notice.

Training gap, the smaller share

  • A handful of submissions came through the wrong channel, which points to approvers who were never walked through the current process.

So the lever is mostly the system. Turn on Coupa's routing enforcement and the required-approval check, and the bulk of that 38% closes on its own, without retraining anyone.

A sample exchange from the purchase-order analysis

What Auri can do

Every conversation stays grounded in your own analysis.

Auri is the part of ValueAtlas where the value keeps growing after the initial report lands. She holds the full context of a customer's specific analysis, or their whole portfolio when they are not inside one report, remembers conversations across sessions, and is honest when the evidence cannot fully answer a question instead of guessing. Available as a floating window from anywhere in the product, she is built to function like an included analyst on call rather than a one-time chatbot bolted onto a report.

  • Ask Auri, grounded in your own analysis. A conversational AI advisor holds the full context of your specific report and answers questions about it directly: you can question any finding, push back on a recommendation, or think through a plan out loud, the same way you'd use a consultant for a follow-up call, except she's already included instead of billed as a separate engagement.
  • Auri remembers your whole conversation. Your conversation with Auri persists across sessions, including logging out and back in, so she never contradicts herself mid-conversation or falsely claims a conversation is just starting when you've already been talking for a while.
  • Multiple named, saved conversation threads. You can start a fresh conversation, reopen an old one by name, and each conversation is remembered by default as background context for future questions (with an option to keep a particular thread out of that shared context if you want to explore a "what if" without it influencing later answers).
  • Suggested follow-up questions after every answer. After Auri answers, a fresh set of suggested next questions appears, generated from what you just asked and what the analysis actually contains, so you're never stuck wondering what to ask next.
  • Attach a new document straight into a conversation. You can hand Auri a new file mid-conversation ("here's our latest vendor agreement, what does it change?") without starting a whole new analysis. That file informs only that one conversation; it is never folded into the underlying analysis or given a source citation of its own.
  • A floating advisor available from anywhere in the product. Auri appears as a draggable, resizable floating window on every screen, so you can pull up the advisor without leaving whatever you're looking at, and your open conversation persists even when you collapse the window back down to an avatar.
  • A portfolio-level Auri when you're not inside a specific analysis. When you haven't opened a particular report, Auri answers from your whole rolled-up recoverable value picture across every analysis you can see, not from a single report, complete with her own saved conversation threads at the organization level.
  • Instant, guaranteed-answerable suggested questions at the organization level. The starting suggested questions on the organization-wide Auri are built directly from your own real numbers (not invented by the AI), so every one is answerable from your actual data the moment you click it.
  • Auri states plainly when she can't fully answer something. When asked to characterize a gap that wasn't specifically measured (for example, whether a compliance problem is more of a system issue or a training issue), Auri says openly that the exact split wasn't measured in the source documents, then reasons from the evidence that does exist rather than guessing or inventing a precise number she doesn't have.
The value engine

The value doesn’t stop at the report. Neither does ValueAtlas.

Most analysis is a depreciating asset: it is worth the most the day it lands and less every day after. ValueAtlas is built to do the opposite, to keep the value working, and to appreciate the longer you keep it.

See the value engine in detail →

It protects the value you found.

The value you uncovered stays in view instead of fading into a filed report. ValueAtlas watches your numbers against the targets the analysis set, and tells you plainly when something starts to drift, so the value you worked for does not quietly slip away.

It surfaces your next opportunity.

Once one process is handled, ValueAtlas points you to the next one worth mining. The engine that found value the first time keeps finding it, so your operation gets sharper the longer you run it through ValueAtlas.

How the ongoing value works

Four steps, running quietly in the background.

01 · Watch

It tracks your numbers.

Refresh your figures and ValueAtlas checks them against the targets the analysis set.

02 · Keep in view

It keeps the value visible.

The value you found stays front and center, framed as value protected, not a report gathering dust.

03 · Connect

It links action to outcome.

As you act on the recommendations, ValueAtlas connects what you did to what moved.

04 · Point ahead

It shows the next opportunity.

When one process is handled, it points you to the next place value is trapped.

A partner you keep, not a report you file.

Start with one process. Auri and the value engine come included, and get more valuable the longer you run your operation through them.

Watch a demo