How it works

From operational pain to production tool.

A delivery model built for speed: one workflow at a time, shipped with the operators who run it.

  1. Discover01 / 05

    Map the workflow

    We identify the provider workflow, bottlenecks, systems, roles, and data sources.

  2. Design02 / 05

    Design the agent

    We define what AI can automate, what needs human review, and where the workflow should live.

  3. Build03 / 05

    Build the tenant workspace

    We create the custom portal, integrations, automations, and dashboards.

  4. Launch04 / 05

    Launch with operators

    We deploy with real users, tune workflows, and improve based on daily operations.

  5. Scale05 / 05

    Expand the network

    Once one provider workflow works, we repeat the pattern across more teams, partners, and regions.

Built by Kelsus

Built by the AI-native software team at Kelsus.

KargoAgents is backed by Kelsus, a custom software team with 15+ years of experience, 60+ products built, and a delivery model designed for the AI era.

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Years in business
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Products built
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Client acquisitions

AI-augmented engineering

AI in the loop for code, tests, architecture, and docs — with senior engineers accountable for every line.

Fixed-bid milestones

Pricing tied to delivered milestones, not hours burned.

Outcome-based delivery

Scoped around the operational result, not a feature list.

Senior team involvement

The people who scope the work are the people who build it.

Low-turnover engineering teams

Long-term teams who keep context across releases and years.

Custom software, not generic templates

Purpose-built for your network's workflows — and yours to keep.

Kelsus engineers use AI daily for code generation, testing, architecture planning, and documentation. That means faster delivery, more predictable milestones, and custom tools that stay maintainable after launch.

AI-augmented engineering · Fixed-bid milestones · Outcome-based delivery

Start with one workflow

Build the logistics tools your providers actually need.

Start with one workflow. Launch a custom AI tool. Expand across the network.