This is an example of an agent you can build with Sylvie: hand it the raw material of a win (interview notes, a results spreadsheet, a QBR deck) and it drafts a complete, structured case study, from the challenge and the approach to the results and the customer quote. It runs on your brand brain, so it uses only the metrics you have cleared to publish, the customer context you already hold and the positioning each story should reinforce. Sylvie does not ship it pre-built; your team assembles it, powered by everything the brain already knows about the brand and its customers.
Sylvie does not ship this agent pre-built. It is an example of an agent your team can build with Sylvie, powered by your brand brain, so it runs your workflow the way you actually run it.
The Case Study agent is an example of what a marketing team or agency can build on Sylvie: a writer that turns a real customer result into a finished, on-brand success story with a proper narrative arc. It is not a generic drafting tool you feed a blank prompt; it is an agent your team configures once, wired to the one brain that holds this brand's proof, its cleared numbers and the way its stories are supposed to read.
Case studies are the proof assets that close deals, and yet most wins never get written up: the great result sits in a Slack thread or a renewal call, the numbers are scattered, and by the time anyone has an afternoon free the momentum is gone. An agent built on your brand brain changes the economics of that: because the facts, the context and the format already live in one place, turning a win into a published story stops being a project and becomes something you do the week it happens.
Before it writes a word, the agent reads the brand brain: the results and metrics that are cleared to go public, the customer's industry and context, the product facts the story can safely state, and the case studies you have already published so the new one matches their shape and voice. Because the brain is permission-aware, it works only from what this brand and this customer have approved, and nothing from another client's account ever finds its way into the draft.
Then it builds the story end to end inside Sylvie: it shapes the challenge, the solution and the outcome into a clear arc, pulls the strongest numbers into stat callouts, drafts a headline and a pull quote, and formats the whole thing the way your team publishes case studies. You edit it in the same place, and once the story is approved the win is captured in the brain, ready to be cited by the next proposal, pitch or sales asset that needs it.
A result that used to take an afternoon of chasing facts and drafting comes back as a structured case study in minutes, so proof ships while the win is still fresh.
The agent uses only the numbers your brain has cleared to publish, so every stat in the story is accurate and approved, and no one has to fact-check a claim you cannot back up.
Challenge, approach and results come structured every time, with stat callouts and a pull quote in place, so you get a real story rather than a flat list of features and figures.
Because it reads your positioning, each case study reinforces the point you want that win to prove, so your proof library sells the story you are actually trying to tell.
Results stop dying in Slack threads and QBR decks: the agent turns the raw material into a draft fast enough that capturing every win becomes realistic instead of aspirational.
An agency configures the agent once and runs it across the whole roster, so each brand gets case studies in its own voice, format and cleared numbers without a separate setup.
A few of the jobs a team builds this agent to handle, each story drawn from your brand brain rather than assembled from scratch. The outcome is the same every time: a real customer win becomes a publishable, on-brand proof asset you can put in front of a buyer.
A customer just hit a milestone worth bragging about, and the whole story is sitting in a channel and a call recording. The agent pulls the facts into a structured draft, so the win becomes a published case study that week instead of an idea that quietly dies.
A rep is working a deal and needs a reference story in the prospect's vertical to beat an objection. The agent drafts a case study around a comparable customer using cleared numbers, so sales walks into the next call with proof aimed at exactly that buyer.
You have the before-and-after metrics from a campaign but no narrative around them. The agent turns the numbers into a challenge-to-outcome arc with stat callouts, so a raw data dump becomes a story a non-analyst can read and share.
You recorded a happy customer for thirty minutes and now have a wall of text. The agent mines it for the quote, the turning point and the result, so the transcript becomes a tight, on-brand case study without a manual listen-back.
A flagship case study still shows last year's figures and a product name you dropped. The agent refreshes it against the current facts in your brain, so your best proof asset stops undercutting you with outdated claims.
You need case studies of your campaigns to win new business, not just to serve clients. The agent writes up your agency's own wins in your agency's voice, so new-business decks carry documented results instead of vague 'we drove growth' lines.
A generic tool invents a plausible-sounding story and leaves you to check every number; this agent works only from your brand brain, so it uses the metrics you have actually cleared, the real customer context and the format you publish in. You build it once on your own proof and facts, which means the draft comes back accurate and on-brand instead of a template you have to rewrite and verify line by line.
You build it. Sylvie does not hand you a finished Case Study agent; this page is an example of what a team assembles on the platform. Sylvie helps you wire it to your brand brain, your cleared metrics and your house case study format, so what you end up with writes your proof the way your brand writes it.
It draws results only from what your brain marks as cleared to publish, and it ties each figure back to its source, so a stat never appears in a story unless it is approved and real. Because you build the agent on that brain, accuracy is the default rather than something an editor has to police after the fact.
Before drafting, it reads the parts of the brain that make a case study true and on-brand: the cleared metrics, the customer context, the product facts and the past studies that set your format and voice. It is permission-aware, so it uses only what this brand and this customer have approved, and one client's results never surface in another's story.
Yes, because you build it around your own published examples: whether your standard is a one-page PDF, a gated long-form asset or a web page with stat callouts, the agent learns the shape from your brain and drafts to it. You can run the same win into more than one format without rewriting it from scratch.
Every brand brain is isolated and permission-aware, so sensitive customer details and cleared numbers stay inside the account they belong to and never cross into another client's work. The agent drafts on top of your brain inside Sylvie; your proof and your customers' data stay yours and are never pooled into a shared model.
Book a demo and we will map the workflows worth turning into agents, and show how each one runs on your brand brain.
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