Where should we start? +
If you know which workflow to change, start with agentic AI engineering. If a pilot or prototype already exists and stalls, start with stalled pilot recovery. If you need a decision first, such as which process, which stack or what it will cost, start with engineering-led advisory. Every build opens with a Proof of Value on your real workloads, so you see results before you commit to the full delivery.
What if we do not have a defined use case yet? +
That is the most common starting point. The Strategize phase maps your workflows, finds the steps where an agent would change the work and ranks them by expected return. You leave with a prioritized roadmap you can carry out with us or on your own.
We already have a pilot that stalled. Where does that fit? +
That is stalled pilot recovery. We measure what exists on your own cases, find the causes, such as retrieval, prompts, tool design or cost per run, fix them and hand the system back to your team. Where the code allows it, nothing is rebuilt from scratch.
Can we go straight to building? +
Yes. Engagements start where you are today — if the use case is already defined, we begin with a Proof of Value on your real workloads and move to architecture and delivery once the evidence supports it.
How long until we see a working system? +
The first Proof of Value typically lands in about three weeks. The timeline for the full build depends on the integrations and compliance requirements involved, and the architecture work gives you a concrete timeline before the build starts.
How is an engagement priced? +
Each phase is scoped and priced separately, and you commit to one phase at a time. The Proof of Value gives you measured results and a feasibility report before you commit to a full build — no long-term contract up front.
Does the system run in our environment? +
Yes. We design for your security and compliance constraints: systems run in your cloud account or private network, grounded in your company's data, and stay model-agnostic, so you can change the model provider later. Running on your own hardware with open-weight models is scoped per project.
Which frameworks and stacks do you work with? +
We are an official Pydantic implementation partner and our engineers contribute to Pydantic AI. We also build with LangChain and LangGraph and with LlamaIndex. The framework follows your constraints and is decided during the engagement, not assumed up front.
How do you avoid vendor lock-in? +
You keep the code, the data and the model choice, and Vstorm charges no licence or platform fee. We work alongside your team, explain architecture decisions as they are made and close every engagement with documentation, runbooks and training, so your engineers can run the system without us.
Where can we see proof? +
Our case studies publish real numbers from 30+ production deployments, including guideline-executing clinical triage that reached 98% on the open 50-scenario benchmark and a workflow generator that cut a two-hour task to three minutes. See vstorm.co/case-studies.
