Voice AI for the work inside your business

Your business has a new analyst...Her name is Shelly.

The AI analyst for the conversations inside your business.

Shelly is a voice AI analyst who interviews your people, joins your meetings, and turns real conversations into findings your team can act on.

Built for the conversations and decisions that move your business forward.

Real-time insights in Teams/Zoom

Answers in real time, right in the conversation.

Phone interviews

Capture insights from phone conversations at scale.

Decisions based on real data

Trusted, relevant, up-to-date.

Actionable work output

Summaries, reports, and next steps.

Meet Shelly

Shelly isn't a tool. She's an analyst on your team.

Shelly can interview stakeholders, employees, prospects, and customers, on their own schedule, at whatever scale the work needs. She joins your Teams/Zoom meetings as a real participant, not a silent note-taker, and answers questions the moment someone asks.

Once the conversations are done, she doesn't hand you a pile of transcripts to sort through. She aggregates what she heard, analyzes it, and comes back with the findings, recommendations, and next steps you'd expect from a strong analyst on your team.

HR & workforce. Risk & compliance. Product & customer insight. Stakeholder discovery. Operations & delivery.

What Shelly is

One analyst, every kind of conversation.

Shelly is a voice-native AI analyst. She works the way a good analyst does: she talks to people, reads what the business already documented, and shows her evidence.

  • Talk to the people who actually know what is happening
  • Interview stakeholders
  • Join Teams/Zoom meetings
  • Work with existing company data and documents
  • Product and customer research
  • Analyze and score information
  • Risk and compliance reviews
  • Draft actionable next steps
  • Answer questions against the underlying data
  • Attach the relevant source/evidence to answers
Live meeting · Teams
Quarterly ops review
DRDana R.Operations Lead
MOMarcus O.Supply Chain

Shelly

Voice AI analyst · listening

Documents
Operational data
Reports
Policies

Findings & next steps

Evidence attached
  • 1Component shortages named by 3 of 4 interviewees
  • 2Supplier response time flagged as the recurring blocker
  • 3Next step: confirm dual-source coverage with procurement
Source: interview transcript · delivery report

How Shelly works

From conversation to conclusion.

  1. 01

    Configure

    Point Shelly at the dataset, team, or process and define what she needs to come away with.

  2. 02

    Interview

    Shelly talks to the people who actually know, whether that's an employee, a stakeholder, or a customer, on their own schedule.

  3. 03

    Ingest

    Policies, reports, prior data, and existing documentation are brought into the analysis alongside conversations.

  4. 04

    Extract

    Each conversation becomes structured evidence tied to who said it and when.

  5. 05

    Synthesize

    Shelly brings everything together into a scorecard, findings, and next steps someone can actually execute.

Why this beats doing it by hand

The same work, without the scheduling.

Speed

Interviews and data pulls run at once, not one after another. What used to take weeks of scheduling happens in days, and the analysis starts the moment the first call starts.

Timing

Stakeholders talk whenever it actually suits them, not whenever a calendar happened to line up. No back and forth, no missed windows.

Point her at anything

HR, compliance, product, ops, whatever conversation needs to happen. Pointing her at a new domain is a settings change, not a rebuild

Grounded in your data

She works from what is actually in your systems and what people actually tell her. Every conclusion traces back to a source you can check.

Candor

People tell an agent things they would not tell a colleague or a manager in the room. No politics, no filtering for who is listening.

From conversation to conclusion

She does not stop at a transcript. Everything is analyzed, scored against whatever rubric fits the work, and turned into a scorecard or findings your team can use.

What you actually get

Not another note taker.

You don’t need an AI that just sits in the corner, transcribes what happened, and spits out a summary you could have skimmed yourself. You need someone in the trenches with you - shaping ideas, solving blockers, and taking actual work off your plate.

Structured data extract

Turn conversations into structured evidence.

Analysis & scoring

Evaluate information against the appropriate rubric.

Scorecard

Turn evidence into a clear assessment.

Findings

Surface what actually matters.

Drafted next steps

Turn findings into actions.

Full evidence trail

Keep conclusions connected to their sources.

Ask what is actually in the data, in plain language, and get the answer back with its source attached.

Use cases

One voice AI layer. Multiple business workflows.

Internal Service Desk

Shelly answers employee questions using your policies and ticketing system, and opens a real ticket only when the question actually needs one.

Example

Most access and policy questions get answered on the spot. What remains in the queue is the work that genuinely needs a technician.

Live Meeting Assistant

Shelly sits in on Teams/Zoom calls, listens throughout the conversation, connects to your knowledge base, and answers questions in real time.

Example

Someone asks what the expense policy allows or how marketing performed last quarter. Shelly answers during the meeting, with the source attached.

Risk & Compliance

Shelly interviews team leads and infrastructure owners on a defined cadence to understand what is actually in place against the required controls.

Example

Run continuously instead of turning compliance into a once-a-year scramble.

Remediation Tracking

Shelly checks in with control or issue owners and asks what has actually moved since the previous review.

Example

Turn stale trackers into real status updates.

Ask Your Data

Give employees a way to ask questions out loud and receive answers pulled directly from operational data.

Example

An engineering lead asks what broke in last night's deployment and gets the answer back without navigating a dashboard.

Inside the meeting

Shelly can be part of the conversation.

Ask the question when it matters - without leaving the meeting.

Microsoft TeamsShellyZoom

Operations review · in progress

Shelly is listening and connected to your knowledge base

Dana R.

Can you walk us through what caused the delay in on-time delivery?

Shelly

The biggest contributors were component shortages and late supplier responses.

Source · interview evidence · delivery report

Marcus O.

What does our expense policy allow here?

Shelly

According to the current policy, this expense is covered under…

Source · company expense policy

Where Shelly sits

The conversation
Shelly
Knowledge base
Operational data

Examples shown illustrate the interaction model, not actual customer data.

Data & evidence

Grounded in what your business actually knows.

Shelly works from what is actually in your systems and what people actually tell her - not general knowledge or a guess.

Every conclusion traces back to a source you can check.

Company systems
Documents
Policies
Reports
Operational data
Conversations
Shelly
Answer
Source / evidence

Security & privacy

The part your security team cares about.

Governance, scope, confirmation, and human oversight are part of how Shelly operates - not settings bolted on afterwards.

Data governance

Nothing gets shared until the person has been verified, and access follows the governance rules already in place.

Explicit read & write scope

Shelly only sees the fields you've exposed and can only do what you've explicitly allowed.

Nothing acted on unconfirmed

Any change Shelly makes gets read back and confirmed first. Nothing happens silently.

Isolated per client

Your data stays yours. Nothing gets pooled with another client or reused somewhere else.

Fully auditable

Every call and every action gets logged against the record with a timestamp.

Human in the loop

Anything outside what Shelly is configured to handle, or anything that needs a second opinion, goes to a person.

Business impact

What changes once Shelly is live?

More ground covered

The stakeholders you would normally skip to save time now cost almost nothing to add to the interview list.

Days, not weeks

Get a scorecard or findings inside a single review cycle, while the decision is still open.

One engine, many domains

Stand Shelly up once. Pointing her at the next dataset or team is mostly a configuration change.

Skip the explanation. Just talk to Shelly and experience it firsthand.

The best way to understand Shelly is having a real call and experience it yourself. Let Shelly interview you, and find out what she can really do.

Talk to Shelly

Real Live Demo - Try now

U.S. phone numbers only.

Talk to Shelly