End to end projects. Deliverables, ready to use. 24/7
Your business has a new analyst...Her name is Shelly.
She is 10× faster, better and cheaper!
Shelly is a voice AI analyst who interviews your people, joins your meetings, and turns real conversations into findings your team can act on. 10x faster. In parallel. 24/7
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
Parallel calls. Cross-references every interview against the rest
Decisions based on real data
Linked to your Knowledgebase. Trusted, relevant and adaptive.
Actionable work output
Requirements docs, Jira tickets, SOPs, Bottlenecks, Automation opportunities, 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
Shelly
Voice AI analyst · listening
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
How Shelly works
From conversation to conclusion.
- 01
Configure
Point Shelly at the dataset, team, or process and define what she needs to come away with.
- 02
Interview
Shelly talks to the people who actually know, whether that's an employee, a stakeholder, or a customer, on their own schedule.
- 03
Ingest
Policies, reports, prior data, and existing documentation are brought into the analysis alongside conversations.
- 04
Extract
Each conversation becomes structured evidence tied to who said it and when.
- 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
Multiple business use cases.
Active Meeting Participant
Shelly joins your Teams or Zoom calls as a participant, not a note-taker. She listens to the whole conversation and contributes when someone asks, the way another member of the team would.
Example
A planning call needs someone who knows how the last rollout went. Shelly is already on the call and answers, with the source attached.
Consult with Your Data
Shelly consults your operational data as the conversation happens, so questions get answered in real time instead of becoming follow-ups.
Example
An engineering lead asks what broke in last night's deployment and gets the answer back without opening a dashboard.
Requirements and Solution Analysis
Shelly interviews the people who will own and use a solution, gathers their requirements, and brings back a solution analysis with a first effort estimate and ROI view for your team to refine.
Example
A new reporting platform needs input from a dozen teams. Shelly talks to each of them and returns one consolidated set of requirements with a draft estimate and expected return.
Budgeting and Prioritization
Shelly collects use case ideas from across the business, builds the ROI case for each, and proposes a priority order and sequence for the budget.
Example
Every department arrives at budget season with its own wish list. Shelly talks to each owner, compares the cases on the same terms, and returns one ranked, sequenced list.
Dashboard and Report Mockups
Shelly turns what she hears in interviews and requirements sessions into dashboard and report mockups, so people can react to something concrete instead of a description.
Example
After a round of interviews with the finance team, Shelly returns a draft dashboard showing the metrics each person asked for.
Recurring Collection and Reporting
Shelly checks in with multiple people on a regular schedule, follows up on missing answers, and structures what she collects into recurring reports and dashboards.
Example
A weekly status round across a dozen project leads comes back as one report, and nobody has to chase updates.
Data Governance
Shelly leads working sessions with your data governance council, taking the group through definitions, business reference data, and metadata and resolving them during the meeting.
Example
The council disagrees on what counts as an active customer. Shelly works through it with the group and records the agreed definition before the meeting ends.
Inside the meeting
Shelly can be part of the conversation.
Ask the question when it matters - without leaving the meeting.
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
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.
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 her firsthand.
The best way to understand Shelly is having a real call and experience her yourself. Let Shelly interview you, and find out what she can really do.