Dispatches
Use case

DDQ and RFP completion

Athena drafts answers to investor due diligence questionnaires from your prior responses, policies and documents, with the source on each answer. Questions without a supported answer are left blank and flagged, and a named person approves before anything goes out.

DDQ_draft.xlsx (synthetic data)QuestionAnswerSourceStatusQ31 Valuation policyDraftedPolicy 5.2, p3ApproveQ32 Cyber insuranceDraftedCert, p1ApproveQ33 ESG reportingLeft blankNo sourceFlaggedNo source, no answer. Flagged for a person.
Fig. 01A DDQ answered from your documents, with unsupported questions left blank.
Input · what Athena does · output
  1. Input

    A DDQ or RFP, plus your prior responses, policies and documents.

  2. What Athena does

    Matches each question to supported answers in your own documents, drafts the answer with its source, and leaves unsupported questions blank.

  3. Output

    A completed questionnaire in the investor’s own format, with a source for every answer and a list of gaps.

Where a person decides

A named approver signs off before it is sent.

Example workflow

DDQ and RFP completion, start to finish

01QuestionnaireinDDQ or RFP02MatchedTo your owndocuments03Answers draftedSource on each04Approver signsGaps stay blankDDQ completion with a source on every answer and an approver before it goes out.
Fig. 02From a questionnaire to a sourced draft a named person approves.

Runs on: On demand, when a questionnaire arrives. Works with: SharePoint, Outlook, Word, Excel.

What it runs on
What customers say
“It's good to understand the capability of the platform. That how far, and how quickly you guys can get these things going [...] that has been impressive overall.”
VP-level AI leader · A Fortune 500 retailer
“Lets us get a lot more out of our data than [...] We can sit on top of all of the data in [our data warehouse] as opposed to just, like, our little ingested, you know, three gigabytes semantic models. I think we have a lot of power here.”
Analytics lead · A Fortune 500 retailer
“Gave Athena the spreadsheet, explained which column I was trying to figure out, and then ten secs it told me... exactly how the calculation was based on the other data.”
Analyst · A global manufacturer
“He wrote the entire stuff. By itself. And I was there, and I was thinking, alright. If I had to write all this stuff, I mean, I would've spent days, days, days.”
Manufacturing analyst · A global manufacturer
“I send that to the programmer and he said, alright. I read your file. I copied the section of the code because he has the right interface, and it works. Wow. Just like magic.”
Manufacturing analyst · A global manufacturer
“One workspace. All different, let's say, avatars of their output data. Right? Suddenly, it's dashboard. Excel is here. PowerPoint is when it's all together. It's very impressive.”
Global Sustainability lead · A global manufacturer
“Use the Athena platform probably closer to the concept and how it was designed, like, with the spaces architecture where you've got a set of primitives and capabilities, and you bring together the right set of capabilities to solve a task.”
Audit lead · A global professional services firm
“Digital worker, it gets spun up, it gets given access to the toolkits that it needs. It gets given access to the data that it needs. Just exists for the period it needs to exist to perform the task. And then it gets torn back down again afterwards.”
Audit lead · A global professional services firm
“I like that direction, that concept of the agent is the agent. It becomes an entity in its own right with its own ownership and its own missioning, and you get rid of the gray area and the blurry lines.”
Audit lead · A global professional services firm
“It was PowerPoint... there was no kind of distinction between the two. So that was killer. And I literally had a meeting on it today, and people said how great it was.”
Sales analyst · A global CPG provider

Verbatim from customer calls. Customers anonymized.

Send us one DDQ.

We will send back the result with the citations, and you review it.

Runs in your VPCNo training on your dataCitations on every claimApproval before anything sends