AI agent use cases

What our agents do, from one task to a whole workflow

The engineering patterns and business workflows we build agents for, each on its own page.

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    A memory layer stores what your agents learn in conversations, dates every fact and marks it outdated when a newer fact contradicts it.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

Start with one workflow

Test one workflow on your own data

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