Workflows agentified
by core contributors.
Vstorm is an agentic AI engineering company. Through the TriStorm methodology, we take one real workflow from strategy to a live system your team owns. Sovereign by design.
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Trusted across 50+ agentified workflows. Inspired by our customers.
“My wish was at least an 80% success rate — we finished over 95.4%, so it exceeded expectations.”
Mapline.AI 
“Very professional at every step — their insight helped us greatly and made the process feel seamless.”
Mapline.AI 
“My wish was at least an 80% success rate — we finished over 95.4%, so it exceeded expectations.”
Mapline.AI “Very professional at every step — their insight helped us greatly and made the process feel seamless.”
Mapline.AI Each stall has a different cause and a different first move. Pick the description that sounds like your organisation.
There is a strategy, a vendor shortlist, and possibly a pilot that impressed the board. Between that plan and a working system sits engineering nobody in the building owns.
RPA, Zapier, or an off-the-shelf platform covered the simple half. The cross-department workflows that actually cost money were too specific, too multi-step, too dependent on tribal knowledge.
Your team knows models. Orchestrating agents on real workloads, keeping them reliable, and wiring them into your existing systems is a different skill set. It is slow to build from scratch without help.
Both are first steps, not proposals. One is self-guided and lands in your inbox; the other is 15 or 30 minutes with the engineers who would do the work.
A guided assessment that profiles your organisation across seven dimensions and names the gaps most likely to stall you after the pilot. The profile is yours to use internally, whether or not you continue with Vstorm.
A focused session with people who have agentified 50+ workflows. We take one of your workflows, map it to an agentic design, and show systems already live at clients.
Two entry packages for teams that already own part of the work, and one end-to-end programme when the whole agentic layer has to be built. Every engagement ends with your team owning what runs.
We show you the path and walk it with you. Your team builds the muscle.
You know what to build. We build it, inside your environment.
Zero to an operating agentic AI layer — strategy through engineering, end to end.
Inside the packages
After 50+ workflows agentified, including for enterprises like Mercedes, the same failure modes keep showing up. TriStorm is how we work through them in three phases.
We align on one workflow, prove value on a real case, then wire agents into the processes they need to run in day to day.
Explore TriStormThe people who build our clients' agents, at work in our Wrocław office.
The agent drafts each workflow and checks it in several steps before it runs, so engineers skip the manual setup.
Up to 1 hrto prepare a workflow by hand
~2 minto create one with the agent
Three agents and 15 tools walk customers through print-order configuration, across more than a billion product combinations.
~20% → ~40%conversion to a final sale
96%+web-to-print orders handled end to end
The model answers the assessment questions. The guideline decides the disposition, the same way every time.
44% → 98%accuracy, raw LLM vs guideline-executing
94%weighted F1 across 591 scenarios
What we have shipped for clients, and how widely other engineers use the code we open-source.
Retrieve, verify, call tools, and route edge cases to a human when policy requires it. Every step goes in the audit log.
Illustrative walkthrough of a claims-triage agent — the log and these figures are scripted, not telemetry from a client system. The measured numbers are in the case studies above.
Behind the libraries: the same engineers behind the 50+ workflows agentified.
The first agentic AI
engineering company
to join the
to contribute
and help set
where the field goes.
Official partners on the models and frameworks
our agents run on
Open Agentic AI Innovation Award, 2026
First, contributing and awarded member of the Agentic AI Foundation
Four engineering practices for teams taking language models from pilot to daily use: strategy, retrieval, agent frameworks, and operations.
Full services catalogRAG pipelines built for your data and your workflows — retrieval, grounding, and evaluation so answers stay tied to source material once the system is live.
ExploreWe work out which workflows LLMs can actually improve, what to build first, and what to skip.
Explore
Official Pydantic implementation partner. We build typed, testable agents on Pydantic AI that your team can run and extend after handover.
ExploreFor LLMs already live: monitoring, evals, version rollouts, cost tracking, and regression checks as traffic and models change.
Explore“My wish was to come to at least an 80% success rate in the workflow results, and by the time we finished the project, the success rate is, I believe, over 95.4% — so it definitely exceeded expectations.”
“Beyond saving engineering teams hundreds of valuable hours each quarter, Synera aims for the easiest to use AI agent platform to make the AI transformation for engineers as smooth and frictionless as possible.”
“The team at Vstorm was very helpful, their insight and experience helped us greatly in our project. They were very professional at every step of the way and made the whole process feel seamless.”
Most teams hit the hard part after the board signs off on the vision. We work with executives and operations leads on the path from strategy to a working system: where to start, how to structure a Proof of Value or MVW so it can scale, and what to change when priorities shift.
If RPA, Zapier, or a platform handled the simple cases but cross-department work still runs on tribal knowledge, we join what you already have. We review the architecture, integrate with your stack, embed alongside your team, and leave documentation your people can run without us.
When the bench knows models but orchestrating agents on real workloads is the bottleneck, we add senior engineers on agent design, reliability, and integration. We advise on architecture, pair on the hard tickets, and make sure capability stays with you when we step back.
Book 15 or 30 minutes with our founders and senior AI engineers. We'll walk through what we learned from 50+ workflows agentified and name a realistic first step for your organisation. Sometimes that step is to wait before building.
