AI for service companies.
Not instead of them.

We scale your operations turning the first interaction with your method into an AI conversation. We run it with everyone who matters. Your team walks in with 80% done.

Prown team and infrastructure for AI conversations.
Built & operated by Prown
Our take

AI won’t replace
service providers.
It will enhance them, and those interacting with them.

Your team gets a sharper start to every engagement. Your clients get value before the first meeting and a voice that’s actually heard.

The room is still where the human work happens. Only now everyone arrives prepared.

How it works

Three steps.
One reusable artifact.

01

We capture your method.

You bring the methodology your team already uses. We turn it into a structured AI conversation, with the depth, tone, and follow-up logic your work demands.

Your method
topic.01discovery_open
depthcritical_incident
follow_upon_contradiction
topic.02prioritization
outputbpmn → miro
_
Reusable artifact
02

Everyone has the conversation.

Async, in their own time, in depth. No agenda coordination. No moderator. The quiet voices get heard. The loud ones don’t dominate.

artifact
12 conversations · Mon 09:14 to Fri 15:30
3 starting 4 in progress 5 completed
03

The output lands where you work.

A process map. A research brief. A CRM record. A Service Blueprint exported to Miro. Whatever your pipeline runs on, that’s the format you get.

processed
  • Miro board
  • HubSpot record
  • X Excel workbook
  • {} Your system JSON / webhook

+ Jira, Salesforce, FigJam, Mural, Notion, and more

The bottleneck we solve

Where senior time
actually goes.

Service companies bill for expertise. But most of senior time goes to prep work: aligning stakeholders, capturing context, synthesizing input.

The actual judgment, the secret sauce, fits in the last hour.

We move the first 80% to AI conversations. The senior shows up only for what only they can do.

  • Then

    Mapping a process used to take 4 to 8 weeks of senior interviews.

    Now

    A couple of days.

  • Then

    Knowing if an inbound lead is a fit took hours or days of back-and-forth.

    Now

    Minutes.

  • Then

    Diagnosing where to start with AI used to take weeks of consultant interviews with a handful of stakeholders.

    Now

    Hours, and covers hundreds.

Cases in production

Five methods. Five outputs.
One infrastructure.

Not sure how this maps to your case? These are five we’ve shipped. Yours is probably different.

What we’re not

What we don’t do.

  • We don’t replace your seniors.
  • We don’t build chatbots.
  • We don’t run surveys.
  • We don’t sell you a transcript tool.
  • We don’t lock you into a platform you have to maintain.

We design AI conversations on your method, run them with everyone who matters, and deliver output where you work. That’s it. Your in-person delivery is still where the value lands.

Engagements

How we work with you.

Every first engagement is a controlled experiment.

Four to six weeks. One method, one output, one cohort of participants.

You bring the method, your brand, and your people. We bring the design, the operation, and the processing.

After the first cycle, you decide what’s next. Renew. Scale the method. Or close the experiment.

No annual commitment. No platform to maintain. No surprise invoices.

  1. Week 1 Discovery & artifact design Method, ICP, output destination. We design the artifact, you validate.
  2. Week 2 Run Conversations async with participants. We monitor.
  3. Week 3 Process, deliver & decide Output into your pipeline. Readout. Renew, scale, or close.
Why us

We do this ourselves.

We run AI-first services on the same infrastructure we sell. When we learn something, what works, what breaks, what surprised us, we publish it.

Read what we’re writing
Community-first activity

Have a method you want
to AI-enable?

If there’s a well-known methodology you’d like to apply in your services, and it’s not in our public examples, apply. We’ll draft a Prown-enabled version of it with you. Free. As part of our community work.

Cap: up to 3 drafts per quarter.

Apply now
FAQ

Questions you might have.

About the participant experience

Will real people actually engage with an AI conversation?

Yes. Completion rates are higher than traditional surveys. Many participants report feeling more comfortable being honest with the AI than with a human interviewer: no judgment, no social pressure, and they answer when it suits them. No agenda to coordinate.

One thing to be clear about with your participants: this doesn’t replace your service. It exists so they gain time and depth without depending on your calendar.

Isn’t it strange to talk with an AI?

Most people forget within two or three exchanges. The agent isn’t trying to pass as human: it’s transparent about what it is, but it listens, follows up, and doesn’t judge. That creates a space where people say things they wouldn’t say in front of a boss, a consultant, or in an anonymous survey.

Conversations are by voice. The participant talks, the agent talks back. Not a chat, not a form: a real conversation, only the AI has the rigor of hundreds of interviews behind it.

You lose the human read, body language, tone, facial cues. Isn’t that a problem?

Yes, you lose that. We’re not pretending otherwise. What you gain is something different: people say things to an AI they don’t say in front of a person, especially when power dynamics are in play. And it scales. You can have the same depth conversation with 5 people or 500.

It doesn’t replace your read in the room. It complements with a channel where honesty is different.

What if a participant is evasive or gives generic answers?

The agent is trained to detect resistance and not push when there is friction. It reformulates with techniques like critical incident or specific example. It changes strategy when needed. It asks for examples when answers are generic. When it detects contradiction, it explores without confronting.

When you interview multiple people on the same topic, Prown cross-references the views to identify where there’s disagreement. It doesn’t average. It segments by role and perspective.

About methodology

Does it adapt to my methodology?

Yes. Prown doesn’t impose a framework. We adapt to yours. We start from proven templates and customize. Some examples: BPMN, JTBD, SPIN, Service Blueprint, organizational psychology, Six Sigma, Lean, category design, pre-workshop diagnosis.

If you work with a proprietary framework, you can share your internal manuals or guides and the agent incorporates them as part of its criteria.

I already know how to do interviews. What does Prown add?

What Prown solves is what surrounds the interview: coordination, scale, consistency, cross-synthesis, and the fact that your participants can respond on their own time without depending on your calendar.

Prown doesn’t replace your judgment. It amplifies it so it reaches more people, faster, with the same rigor.

We also fold in the experience of hundreds of thousands of technology-based interviews we’ve run, configured into the agent’s behavior so you start where we ended, not where you would alone.

Does the agent follow a fixed script, or can it adapt?

The agent works from a structured research plan, it doesn’t improvise, but within that plan it has the judgment to decide when to deepen, when to switch strategy, how to avoid bias, and how to adapt tone to the participant’s profile.

We design all of this together as part of the artifact. You bring the domain knowledge. We bring the methodological design and the agent configuration.

About trying Prown

Can I try Prown before committing?

Yes. Every first engagement is a controlled experiment. Four to six weeks, one method, one cohort. No annual commitment. After the first cycle, you decide what’s next.

You can also try the qualifier conversation directly. It’s a 5-10 minute voice conversation with the Prown agent where you tell us your case. It’s the best demo possible: you experience the product while we learn whether your case fits.

Can I see an example output before committing?

Yes. The Cases section above shows real outputs from real engagements. Or better: tell us your case in the qualifier conversation, and we’ll show you what the output would look like with your context.

About the output

What do I receive at the end? What does the deliverable look like?

The output lands in the format your pipeline needs. Some examples we deliver: a BPMN diagram exported to Miro, a Service Blueprint with swimlanes, a dashboard with structured insights, a lead brief into your CRM, a Psych Curve report.

Every output is navigable, shareable, and traceable. Each insight is linked to the source quote: verifiable, not invented.

Can I use it as a professional deliverable for my client?

Yes. We co-design the output to match your professional format. Once we define your standard, every new project adjusts automatically. The output should be indistinguishable from what your team would deliver.

Is the format configurable?

Yes. Dashboards are flexible. If you start from hypotheses, the output organizes around validated and refuted ones. If you start from an open question, it organizes emergent themes. If you need to make a decision, it structures arguments with traceable quotes.

You don’t have to think about this upfront. We define it together.

About process and investment

How does pricing work?

Every engagement is priced as a controlled experiment, not a subscription. There’s a setup cost for designing your artifact (it’s a reusable asset that runs forever) and a variable cost per participant processed. No annual commitment. No platform to maintain. No surprise invoices.

Concrete numbers happen in conversation. Pricing depends on your case: the number of participants, the complexity of the output, the destination of the deliverable.

We sell infrastructure plus an AI-native service. We win when you achieve the outcome, not per interview run.

How long does the whole process take?

A first engagement runs four to six weeks: discovery and artifact design in week 1 and 2, async participant interviews in weeks 2 to 4, processing and delivery in weeks 4 to 5. If your methodology is already well-documented, week 1 can compress to a few days.

Do I need to know about tech or AI to work with Prown?

No. You don’t need to know AI, prompt engineering, or research methodology. You bring the knowledge of your business and clients. We handle the rest.

I don’t have a structured research project, I have something fuzzier. Does Prown still apply?

Probably yes. You don’t have to arrive with a plan. Many of our best cases start with “I need to understand what’s happening in my team,” “I want to validate if this idea makes sense,” or simply “I need to talk to many people and don’t know where to start.” Part of what we do is help you go from intuition to a concrete plan.

About your role and impact

Will Prown replace me as a consultant?

No. AI won’t replace service providers. It will enhance them, and those interacting with them. That’s the whole point.

We accelerate the people who want to become orchestrators of AI tools that extend their reach, speed, and productivity. Instead of weeks coordinating and conducting interviews, you arrive at the client meeting with the diagnosis ready.

The question isn’t whether tools like this exist. It’s who in your industry adopts them first.

What if the output isn’t good enough and I look bad in front of my client?

The accompaniment is end-to-end. We don’t deliver anything you haven’t validated. Every output passes through your review before reaching the client. If something doesn’t fit, we iterate together until it does.

About technology

How is this different from using ChatGPT or Claude directly?

Three things. Structure: a research plan behind every interview, not a free conversation. Traceability: every insight links to the source quote, fully verifiable. Participant experience: custom interface, clean flow, a professional conversation, not a generic chatbot.

Can I integrate Prown into my own product?

If you’re building a product where AI conversations are the core, see our builder brief. We have cases in production where Prown runs as invisible infrastructure behind another product.

Is my data secure?

Yes. Transcripts and participant data are private to each study. We don’t use one client’s data to train models or to inform another client. Everything lives isolated by project.

Let’s talk

The first conversation
is thirty minutes.

We listen for three things: your method, your client, and the output your pipeline needs.

If it fits, we scope a controlled experiment together. If it doesn’t, we tell you what would work better, even if it’s not us.