Introducing Ask Siena: the first AI agent built for brand operators

Every month, a brand hears from its customers thousands of times. At scale, hundreds of thousands. Support conversations, phone calls, live chat, emails, social comments, reviews, surveys. And inside them: product feedback nobody had to ask for, retention signals weeks before a subscriber cancels, revenue opportunities written in the customer's own words.

The answers to a brand's biggest questions, what to build, what to fix, how the brand is actually perceived, already exist inside those messages. They've existed all along.

So why does every leadership meeting still run on guesswork?

Because customer conversations are the richest signal a brand has, and the noisiest. No team can read a hundred thousand messages a month. So teams skim tickets, pull a "representative sample," tag by hand, and walk into the exec meeting with anecdotes dressed up as data. One insights lead told us her manual gathering was so slow that by the time a report reached leadership, the moment it described had already passed.

And the paradox: the bigger a brand gets, the more customers talk to it, and the less it can hear them.

We've always believed the words customers use, the actual messages they send, hold more value than any dashboard built on top of them. A support inbox alone skews toward complaints. Put the whole picture together, conversations, reviews, social, calls, surveys, and a brand can finally see itself the way its customers do.

For the better part of a year, a group of brands has been quietly working this way. We've watched them change what they sell, how they operate, and how they engage their customers, because for the first time, they could hear everything.

Today, we're making it available to everyone. Meet Ask Siena.

Built for the brand operator

Siena's agents spend all day with customers. Support, Shopping, Social, Voice: the whole lineup faces the customer. Ask Siena is the first one built for the operator behind the brand.

It's trained on the brand's Intelligence: every customer conversation, every order, every subscription, every review, the knowledge, the journeys. Systems that don't normally talk to each other, connected and readable in one place. And it lives inside the platform already running the customer experience, which means it can do more than answer. It can act.

It's three hires in one, hires almost no brand can make. An analyst who has read every customer conversation. A deployment manager who builds and runs the AI agents. And a strategist that already knows the business. A human hire would need months to earn that access. Ask Siena starts with it.

You ask. It answers, it builds, it advises.

An analyst you can trust

Ask Siena sits on top of every customer conversation a brand has ever had and lets anyone interrogate all of it in plain language. The analysis runs both ways at once: quantitative, the counts and trends and rates, and qualitative, the customers' actual words. Every answer arrives backed by data and direct quotes.

"What are customers saying about the new product since launch?"

"What are the top reasons for returns this month, with examples?"

"How can I improve retention for subscribers who hit a shipping delay?"

Seconds later, the answer is there: the numbers, the quotes behind them, and a link to every source. In an early demo with a footwear brand, one question about a specific product surfaced two dozen relevant conversations, complete with verbatim customer language and one-click links to each ticket. Work that used to consume weeks of manual extraction happened before the coffee got cold.

And because it's connected across the stack, a single question can cross systems: matching what a customer said to what they ordered, what they subscribe to, and what they did next. One brain across the brand's entire customer reality.

Every answer shows its work

Trust is where AI insights fail the moment they matter. A polished summary with nothing underneath it might be fine for brainstorming; it's disqualifying for decisions.

Ask Siena runs on a simple philosophy: every answer shows its work. The methodology, the actual queries it ran, and a link from every claim back to the source conversations, so anyone can click through, read the customer's own words, and check the work themselves.

For that same footwear brand's insights team, the paper trail was the moment it clicked. Walking into the boardroom with "customers are telling us X" now means presenting evidence anyone in the room can audit.

From weeks to minutes

Unstructured data is hard because there's so much of it. It gets harder when the answer lives across systems: joining Shopify orders with subscription data with conversation history means exports, spreadsheets, and a data-savvy person with a free afternoon, and every added source multiplies the work. Brands have historically thrown analysts and engineering hours at questions like these, and the answers still arrived weeks later.

Ask Siena reaches the same answers in minutes, with zero engineering lift.

Coterie's CX team lived the before and after. "We went from sinking hours of leadership time into the rabbit hole of extracting data. Now our team leads use their time to actually apply insights and coaching to the team." Rebecca Blount, Coterie's Director of CX, put a number on it: work that generally took her several hours took ten minutes.

The agent that builds the agent

Here's where Ask Siena leaves every analytics product behind. Analytics tools end at the insight, and the gap between knowing and doing stays with the team. Ask Siena closes that loop: it takes action.

Running AI agents in production became a real job in the last few years: prompts that hold up, tools wired across the stack, policies turned into behavior a customer actually experiences. Almost no brand has the role on its org chart, so ideas for the customer experience die waiting. Ask Siena is the deployment manager.

A returns SOP goes in as a PDF and comes back as a live policy the agent follows, configured and running in minutes, safely and reliably, with nobody needing to learn prompt engineering. It takes whatever shape the knowledge lives in: a cookware brand brought us the Miro board where their entire order-tracking flow lived, arrows and sticky notes included. It became a working where-is-my-order automation in one week, after eighteen months with a previous vendor produced nothing they could ship.

It handles the subtle work too. In trials, Ask Siena reads a brand's ticket history and drafts the agent's tone of voice from it. The line we keep hearing back: "this is exactly how we sign off."

It even works on itself. Ask why the resolution rate sits where it does, and Ask Siena runs the analysis, finds the journeys holding it back, and updates the agent in the same conversation. The question and the fix used to live a quarter apart. Now they share a thread.

And because knowledge, journeys, tools, and customer context live in one system, changes land everywhere at once. The returns window moves from 30 to 60 days? One instruction updates every knowledge doc that references the old policy and every automation journey that depends on it. In one shot. Insight and action stop being separate workflows owned by separate teams on separate timelines. They become the same sentence.

This is the difference between a tool that describes a business and a system that operates it.

Playbooks: ask once, run it forever

Some questions deserve answers every week. Playbooks turn any ask into a program that runs on a schedule or a trigger.

A CEO gets an analyst report every Monday at 8:30: what customers said last week, where sentiment moved, the testimonials worth reading. A marketer runs a Playbook that gathers standout reviews and testimonials in real time, from review platforms and social, ready for the next campaign. An ops lead gets a Slack notification the moment a specific topic starts appearing in conversations, and nobody has to go looking.

Playbooks act, too. They can apply tags in Shopify, deliver straight into Slack where teams already work, and keep a program running long after the question that started it.

One agent, the whole company

Customer Intelligence has always been trapped in the support department. The CX manager knows what customers are saying. The CEO finds out a quarter later, filtered through three layers of summarization. Product hears about defects after the return wave. Marketing writes campaigns before reading a single customer conversation.

Ask Siena breaks the monopoly, because the interface is a conversation and the data underneath is the whole business. This is the strategist, the third hire, at work. Product teams use it to see what customers have been requesting before the roadmap gets set. Retention managers at subscription brands use it to see, with real fidelity, why customers cancel, then build the programs to keep them. One brand implemented what it surfaced and lifted retention by single digits, which in subscription economics is the whole game. And it finds needles in haystacks on request: customers who canceled last quarter despite a positive experience, ready for a win-back campaign that actually lands.

And it's already being used at the highest altitude. The founder of one nine-figure consumer brand uses Ask Siena personally, and not for support metrics: he mines years of customer conversations to decide which categories the brand builds next, on its path to more than doubling. It has already surfaced real demand for products his customers had been describing all along.

A CX lead heading into the holidays can ask what last year's Black Friday conversations say to fix before this year's, and walk out with the answer and the journeys to handle it. When customer Intelligence goes from a department to ambient, the entire company gets smarter. That's an operating model.

Powered by Siena Intelligence

Everything above runs on Siena Intelligence. Siena analyzes every signal a brand receives, handled by its agents or by a human, the moment it arrives, and turns it into Intelligence: what the customer felt, what they needed, how it resolved, which products came up, plus any custom signal a brand defines for itself. The taxonomy builds itself from the brand's own conversations and keeps evolving with them, so nobody tags by hand, ever. And all of it is sharpened by hundreds of live deployments across consumer brands.

A general agent, even one as capable as Claude Code, can do a fraction of this from raw tickets. The difference is what the question runs against. Ask Siena works from Intelligence built before the question arrived, so a deep dive across a hundred thousand conversations holds the same precision as a dive across ten, and the answers keep their footing as volume grows.

The answers are built to travel, too: post the thread to Slack, add a teammate, and the insight reaches the people who act on it. And the whole layer comes ready. No pipelines to run, no models to babysit, no internal product to build. We've watched brands take the homegrown route and come back to Ask Siena and Siena Intelligence, because what sounds easy on paper turns out to be a product, and products cost far more than answers.

Ask Siena is one of three ways in. Topics Explorer, the map of customer conversations, surfacing trends before they become the crisis. Evaluations, automated QA that scores every conversation across the operation, every single one, where a human QA team samples 2%.

Siena Intelligence sees everything because Siena is doing the work: every conversation, every journey, every resolution. That's why we call it the only Intelligence platform built for AI agents. And it's why brands are consolidating their QA tool, their insights tool, and their reporting stack into it. One brand retired over $100,000 in point solutions, across QA, voice of customer programs, and analyst work, and sees more now than all of them showed combined.

And for teams that run their own agents, Siena ships an MCP, so they can build on the same Intelligence. However it's reached, the layer underneath is the point.

One more step toward the Agent of Record

AI's first job in customer experience was answering conversations, and it rewrote the cost structure of support. Its second job is bigger: learning from them. A brand that hears everything moves product decisions from quarterly to weekly. Policies keep pace with reality. The roadmap starts sounding like the customer instead of the loudest voice in the room.

And the loop only closes in one system. An insight born in a conversation becomes a policy, the policy becomes agent behavior, the behavior improves the next conversation. Keep it all in one place, and every customer interaction a brand has ever had compounds.

That's why we built the first AI agent for brand operators, and why it lives inside the platform. The agent that builds the agent, one more step toward what we've been building at Siena all along: the Agent of Record for consumer brands. One system that runs the customer experience, learns from it, and improves it, in the same motion.

Customers have been telling brands what to do the whole time. What to build. What to fix. Why they stay. Why they go. The answers were always there. Hearing them, all of them, at once, is what arrived today.

The era of guessing is over. Just ask.

Ask Siena is available now as part of Siena Intelligence. Book a demo to see it on your data.