We won the Open Agentic AI Innovation Award at the first AAIF Technical Excellence Awards.We won the Open Agentic AI Innovation Award Read why

AI agent solutions by industry, workflow and team

Find where agents fit in your work

Industries, workflows and business functions where we build agents, with the case studies behind them.

Book a free consultation Browse use cases
customer-desk

  1. Account managerYour team

    A customer asks where their order is and wants a revised quote for a bigger run. Can the agents pick it up?

  2. Support agentAgent

    1. erp.get_order status and order history
    2. carrier.track latest delivery update

    The order ships on Thursday. I drafted a reply with the new date.

  3. Quote agentAgent

    1. catalogue.match the larger run
    2. pricing.apply_rules list price and terms

    The revised quote is ready. It changes the agreed payment terms, so it needs your sign-off.

    Needs a personChange to agreed termsRevised quote for a returning customer
    Approved by Account manager

  4. Finance agentAgent

    1. erp.update_terms new terms on the account

    Terms updated in the ERP. The reply and the quote went out from the account manager's mailbox.

Example data. An agent at work in a team channel, with a person approving the step you choose.
Mixam: conversion to a final sale from about 20% to about 40%
  1. 01

    Financial services and insurance

    We build agents that assemble claim files, read submissions and draft close commentary, with every figure traced to source and a person deciding.

  2. 02

    Healthcare

    Providers, payers, and clinical workflows

  3. 03

    Manufacturing

    Engineering and production workflows that close the loop

  4. 04

    E-commerce and retail

    Product data, on-site search, order configuration

  5. 05

    Print on demand

    Order configuration, catalog scale, POD operations

  6. 06

    Technology providers

    Agentic features shipped inside your own product

  1. 01

    Intelligent document processing

    For a US health insurer, agents that turn scans and handwriting into checked fields cut claim review from 3 hours to 8 minutes.

  2. 02

    Text-to-SQL agent

    For a US manufacturer we built an agent that turns plain-language questions into SQL over 473+ columns in 15 views, and checks every query before it runs.

  3. 03

    Multi-agent orchestration

    For Yeeld we built a 6-agent supervisor architecture in which a lead agent splits each request and calls only the specialists it needs.

  4. 04

    Ordering through MCP

    For Rendreal we built an MCP server that lets compatible AI assistants find a print product, prepare artwork and create an order for their user.

  5. 05

    Knowledge layer

    A knowledge layer, or context layer, for your AI agents: company knowledge structured once, kept current, permission-aware and served to every agent over MCP.

  6. 06

    MCP server

    MCP server development: custom MCP servers for your APIs and data, with auth, approval steps and audit logs in the server, tested across MCP hosts.

  7. 07

    Ticket routing and verification

    For a US telecom we built an agent that reads error tickets and handwritten notes, and error processing became 10x more efficient.

  8. 08

    Internal knowledge assistant

    We build assistants that answer your team's questions from your documents and systems, link the source and follow each person's access rights.

  9. 09

    Agent memory

    A memory layer stores what your agents learn in conversations, dates every fact and marks it outdated when a newer fact contradicts it.

  10. 10

    LLM wiki

    A model writes and maintains one page per product, policy or customer from your sources, and agents read those pages next to search over the raw files.

  1. 01

    Claims processing

    For a US health insurer we cut claim review from 3 hours to 8 minutes, and a specialist still decides on every claim.

  2. 02

    Order processing

    Mixam's order agent handles over 96% of web-to-print orders end to end, and you choose which orders still wait for a person.

  3. 03

    Due diligence and document review

    For Mapline.AI we built an agent that cut real estate due diligence from weeks to minutes, and every finding cites the page it came from.

  4. 04

    Quote generation

    For an engraved die manufacturer, pricing went from about 30 minutes to a few clicks, and the price rules stayed in tested code.

  5. 05

    Email response automation

    For Senetic we automated inbound sales email across 151 countries, with each reply drafted from live catalogues in the customer's language.

  6. 06

    Translation and localization

    For MindSonar we automated 14,000 report translation variations across 8 languages, with native-speaker quality as the bar.

  7. 07

    Lead scoring

    An agent checks each new lead against your ideal customer profile and routes it in the CRM, and a person approves the handoffs you choose.

  8. 08

    Invoice processing

    An agent reads each invoice, matches it to the purchase order and receipt, and hands your AP team the exceptions and the approvals you choose.

  9. 09

    Contract analysis

    An agent reads each incoming contract, compares its clauses with your playbook and gives your legal team the deviations with their source lines.

  10. 10

    RFP response

    An agent reads the RFP or security questionnaire, drafts each answer from your approved content and marks what your team still has to write or sign off.

  11. 11

    Candidate screening

    An agent reads each CV against the criteria you set for the role and shows the evidence for every match, and a recruiter makes every decision.

  1. 01

    Sales

    We build agents that answer buyers, draft quotes and keep the CRM current, with a person approving the steps you choose.

  2. 02

    Operations

    We build agents that process orders, documents and exceptions across your systems, with a person approving the steps you choose.

  3. 03

    Finance teams

    Agents match invoices, reconcile accounts and draft close commentary, and a person on your team approves every payment before it goes out.

  4. 04

    IT teams

    We build agents that triage tickets, handle access requests and answer data questions, with an engineer approving any change to live systems.

  5. 05

    Marketing

    Agents draft and localize campaign content, score leads and report results, with a person approving anything that goes out under your brand.

  6. 06

    Customer service

    Answers from your docs, handoffs with context attached

How we build agents

Agents that work as part of your team

They work in the tools your team already uses, take on whole tasks and stop for a person where you decide.

  1. Routines: agents that start on a schedule, on new GitHub issues or on an API delivery.
  2. Connected systems: GitHub, Linear, Notion, Slack, Jira and other tools an agent may call, each connected with its own sign-in.
  3. Approvals log: each action that waited for a person, with who asked, who decided and when.
Routines: agents that start on a schedule, on new GitHub issues or on an API delivery.
Connected systems: GitHub, Linear, Notion, Slack, Jira and other tools an agent may call, each connected with its own sign-in.
Approvals log: each action that waited for a person, with who asked, who decided and when.

Screens from the workspace our agents run in, with example data.

Engineering in the open

We help build what agentic AI runs on

Open standards, open-source tooling and published research, all public, so you can check our engineering before you hire us.

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 announcement

Open source

We build open-source agent tooling that other engineering teams install

10M+ PyPI downloads
4,000+ GitHub stars
33 public repositories

Framework contributors

When the framework breaks, we fix it at the source

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

Our engineers and PhDs publish peer-reviewed research

Peer-reviewed papers on agent architectures, evaluation and AI security, and an open benchmark anyone can rerun against our results.

Track record

Frontier AI teams now build on what we shipped first

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.

Case studies
All case studies
Engagement models

Ways to start

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.

Start with one workflow

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.

Book a free consultation
  1. Process redesign and build Best whenYou want one team accountable for the outcome.
FAQ

Questions about AI agent solutions

How do you know it works before the full build? +
We agree a success threshold with your team before the build and test the agent on your own cases in a Proof of Value. It measures accuracy and running costs, and the build goes ahead only when the threshold is met. Corrections from your team go back into the test set, so every later version is checked against them.
Who owns the system, and which models does it run on? +
You own the code, prompts, evaluation sets and rules by contract. The agents run in your environment on hosted or open-weight models. The model sits behind an interface in code, so you can change it when accuracy, speed or your hosting rules change, without rebuilding the agent.
Start with one workflow

Test one workflow on your own data

A Proof of Value shows accuracy and running costs before the full build.

Book a free consultationRead case studies