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Start from the actual job
We learn the workflow before choosing the model, tool, or interface.
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Roast & Rise Studio /Forward Deployed AI
Forward deployed AI, built inside your real work.
We act like a small FDE team for organizations that need AI to leave the deck. We sit with your experts, read one high-friction workflow, build the first useful system, and transfer the muscle to your team.
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FDE /What it means
The missing role is the builder in the room.
A forward deployed engineer sits between ambition and shipped behavior. The job is simple: understand the messy reality first. Then build beside domain experts until AI is inside the work and truth shows up.
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Build with domain experts
The people who know the edge cases shape the prototype from day one.
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Prove it in use
A sprint has to show visible movement in the place where the work already happens.
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Generalize the pattern
Once the first use case works, we turn the approach into a repeatable way to build.
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The problem /AI drift
AI drift happens when nobody is deployed into the work.
Tools spread faster than ownership. A studio sprint creates the missing bridge: someone who can read the operation, build the system, prove value, and teach the team how to keep going.
- AI lives in decks while the work stays manual.
- Pilots prove possibility, then wait for an owner.
- Teams test tools without a clear workflow to change.
- Domain experts know the work. Builders sit too far away.
- Leadership wants impact. The first production use case stays vague.
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The method /Four moves
From messy workflow to owned capability.
Our studio work follows the FDE rhythm: enter the field, build close to users, prove the change, leave a pattern people can repeat.
01The work made visible
Read
We go where the work happens. Calls, docs, handoffs, edge cases, decisions, tools, risk. We map the current system with the people who live inside it.
02Early value in the workflow
Build
We prototype inside the actual workflow. Prompts, data paths, evals, interfaces, approvals. Real usage tells us what the slide never can.
03Evidence over theatre
Prove
We measure the change. Time saved, quality lifted, errors reduced, decisions clearer. The build earns trust because people can see what it improves.
04Capability inside the team
Transfer
We turn the first deployment into a pattern your team can own. Documentation, rituals, evaluation habits, training, next-use-case logic. Then the capability keeps moving.
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Activation /Start small
One sprint should ship a visible AI behavior.
We take one meaningful challenge and turn it into a working prototype with an evaluation path. You see what changed because it runs inside the workflow.
Request a sprint(05)
Impact /What changes
What changes when an FDE owns the first build.
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A real deployment path
The first sprint points at one workflow that matters. Discovery stays close to shipping.
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Domain fit
Your experts shape the system while it is being built. Edge cases surface early. The tool learns the work instead of flattening it.
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Reliable judgment
Evals, review loops, and decision rules make the system trustworthy enough for live work.
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Internal muscle
Teams learn how to spot the next use case, run the next iteration, and keep quality visible.
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Builds /Useful AI
What we can build with you.
Forward deployed AI sprint
A focused build inside one painful workflow, guided by an FDE who can read the business and shape the system.
Workflow agents
Assistants that draft, research, route, summarize, check, or decide with your rules and context close by.
Evaluation systems
Scoring, test sets, review flows, and guardrails that show whether the AI is useful enough to trust.
Company memory
A context layer for strategy, customers, decisions, documents, and open questions.
Decision support tools
Interfaces that turn scattered inputs into a clearer next move for operators, managers, and leadership.
Adoption transfer
Owner maps, training loops, operating rituals, and measurement so the new way keeps improving.
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Fit /For who
Best for teams ready to get AI into production.
Leaders with a real workflow to fix.
Teams with domain experts ready to build beside us.
Organizations that want the first production AI use case and the repeatable pattern after it.
Bring us the workflow everyone keeps talking around. We will read the work, build the first version, prove the value, and teach the pattern back.
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About /Sven + Birgit
Two angles. One studio.
If anyone can roast each other well, it is a brother and sister. Honest and sharp, but always with care and a shared drive to grow. That dynamic became the foundation of Roast & Rise.
Sven brings AI-native product thinking and the habit of turning fuzzy ideas into working systems. Birgit brings strategy and the kind of commercial clarity that cuts through messy moments.
Together, we help teams dream again without drifting away from reality. The studio exists for useful imagination with proof underneath it.
Let's talk
Bring us the messy challenge.
Tell us where the work is stuck and what winning would look like. We will help you find the fastest honest move.