Shaping agentic AI
Agentic AI Foundation
Vstorm was the first agentic AI engineering company to join the Agentic AI Foundation and received its 2026 Open Agentic AI Innovation Award.
Read the announcementFind where the work waits, then redesign it for agents
Less waiting and fewer hand-offs in one workflow, mapped with your experts and redesigned for agents. Its success threshold is agreed before anything is built.
Three-agent product advisor guiding customers through print-order configuration.
Read case studyHIPAA-compliant guideline-executing triage — 42% to 98% on the open 50-scenario benchmark.
Read case studyText-to-workflow agents building validated node graphs inside the platform.
Read case studySupply chain intelligence agents reducing manual coordination overhead.
AI agent implementation for a global automotive enterprise.
Bilingual English/Arabic agent inside ARIJ's Moodle environment, answering only from ARIJ's own knowledge base.
Redesign the procedure on file and the agent misses every unwritten workaround.
Where it stallsThe process is copied from the written procedure.
What we do We interview the people and trace their systems.
Where it stallsEvery step gets automated, even pure data copying.
What we do Every step gets a verdict and a reason.
Where it stallsOne business case covers the whole project.
What we do A business case for each changed step.
One process, from interviews to a Proof of Value scope.
We interview the people doing the work, follow it through your systems and note where it waits.
Mixam's agent took over print-order configuration; conversion to a final sale rose from about 20% to about 40%. Copy-only steps go, an agent takes what it does reliably, and approvals and exceptions stay with people.
Each changed step gets its own numbers, and the strongest becomes a Proof of Value on your data.
Open standards, open-source tooling and published research, all public, so you can check our engineering before you hire us.
Shaping agentic AI
Vstorm was the first agentic AI engineering company to join the Agentic AI Foundation and received its 2026 Open Agentic AI Innovation Award.
Read the announcementOpen source
Framework contributors
We maintain our own open-source agent framework and contribute fixes to the frameworks our agents run on, through official partnerships with their teams. Breaking changes reach us before they reach your codebase.
Research
Peer-reviewed papers on agent architectures, evaluation and AI security, and an open benchmark anyone can rerun against our results.
Track record
Our client agents were in production before most of today's agent frameworks had a stable release. You get a team that already knows what breaks between a promising demo and a system people rely on every day.
Each path starts with a free call with a founder or senior AI engineer. A build goes ahead only after its Proof of Value meets the agreed threshold.
We map one workflow with your experts and agree a success threshold before any build.
Best whenYou want the success test agreed before you commit to a build.
We walk through it and show where an agent fits and where a person stays.
Why subject matter experts' time is the real bottleneck in agentic AI projects, and how to secure their hours before engineering starts.
78% of enterprises have an AI pilot running; 14% have scaled one. The three phases of the TriStorm methodology and what each has to produce.
A per-workflow buy vs build framework for agentic AI: four paths, a difficulty score from 4 to 12, data sensitivity, model choice and lock-in.