AI logistics operations · Built by Kelsus

Custom AI agents for logistics operations.

Build secure, tenant-specific tools that automate documents, exceptions, tracking, handoffs, and provider workflows across complex logistics networks.

The invisible work

Logistics still runs on invisible work.

Every shipment creates a trail of emails, documents, statuses, exceptions, and handoffs. Most provider teams still coordinate that work manually across portals, spreadsheets, inboxes, and disconnected systems.

Manual status updates

Operators re-typing the same milestone into three systems and a customer email.

Repeated document handling

Invoices, packing lists, and customs docs opened, read, and re-keyed by hand.

Exception firefighting

Delays surface in inboxes hours after the network already knew.

Provider-to-provider handoffs

Critical transfers tracked in threads no system can see.

Fragmented portals

A different login, format, and workflow for every partner.

Slow custom software delivery

The tools operators actually need sit in a backlog for quarters.

Provider workflows

One AI workspace per provider. Custom-built for the way they work.

KargoAgents gives each logistics provider a secure custom workspace with the exact tools, automations, and AI agents they need. No bloated platform. No generic workflow. Just purpose-built software for high-friction logistics operations.

harborline.kargoagents.com

1,284

Active shipments

7

Open exceptions

312

Docs processed today

Tracking

  • SHP-48211In transit
  • SHP-48214Customs hold
  • SHP-48219Delivered
  • SHP-48223In transit

Exceptions

AI action completed

SHP-48214 · Missing commercial invoice at customs

Document Agent extracted invoice from broker email · awaiting review

Review →
Tenant-specific portals
AI document automation
Exception detection and routing
Shipment visibility dashboards
Provider task queues
Custom integrations
Human-in-the-loop review
Role-based access
Audit trails
Reporting and operational intelligence

Document & exception intelligence

Agents that do the repetitive work before your team has to.

Deploy AI agents that read documents, monitor shipment events, detect missing data, summarize exceptions, prepare customer updates, and trigger workflows — with human review where it matters.

01

Document Agent

Extracts, validates, and summarizes commercial invoices, packing lists, delivery notes, and customs documents.

Turns Scanned invoice PDF into Validated, structured record.

02

Exception Agent

Watches for delays, missing milestones, failed handoffs, and incomplete provider updates.

Turns Missed milestone event into Routed exception with context.

03

Tracking Agent

Turns carrier events and provider updates into clean, customer-ready visibility.

Turns Raw carrier EDI events into Customer-ready timeline.

04

Workflow Agent

Routes tasks to the right provider, operator, or reviewer based on rules and context.

Turns Incoming task into Assigned, prioritized, tracked.

05

Reporting Agent

Builds live operational summaries from fragmented systems and manual updates.

Turns Fragmented system data into Live operational summary.

How agents work

Raw logistics input in. Operational clarity out.

Every agent runs the same loop: read the input, validate it, ask a human when it matters, act, and leave a clean audit trail.

Live example
Commercial invoiceExtracted document data

Use cases

Built for the messy middle of logistics.

Wherever coordination breaks down between systems, providers, and people — that's where a custom tool earns its keep.

Freight forwarding workflows

Quote-to-delivery coordination across carriers, agents, and customers.

Manual to Automated. Before: Status chased by email, Hours. After: Live milestone visibility, Seconds.

Customs documentation

Extraction and validation of commercial invoices and declarations.

Unstructured to Extracted. Before: Manual document review, 20+ min. After: AI-extracted, human-verified, ~2 min.

Provider onboarding

Structured intake, credentials, and SOPs for new network partners.

Ad hoc to Guided. Before: Email back-and-forth, Weeks. After: Guided self-serve flow, Days.

Shipment exception management

Detection, triage, and routing of delays and failed handoffs.

Delayed to Routed. Before: Found in inboxes, Reactive. After: Detected and routed, Proactive.

Warehouse handoffs

Clean transfer of custody, documents, and tasks between facilities.

Opaque to Auditable. Before: Tracked in threads, Opaque. After: Logged handoff queue, Auditable.

Final-mile coordination

Dispatch, proof of delivery, and customer communication.

Manual to Automated. Before: Driver updates by phone, Manual. After: Event-driven updates, Automatic.

Claims and incident workflows

Evidence collection, documentation, and resolution tracking.

Scattered to Structured. Before: Scattered evidence, Lossy. After: Structured case file, Complete.

Rate and quote assistance

Faster, more consistent quoting from historical and live data.

Slow to Assisted. Before: Spreadsheet lookups, Slow. After: Assisted quoting, Minutes.

Customer visibility portals

Branded, tenant-specific tracking for each provider's customers.

Fragmented to Visible. Before: “Where is my shipment?”, Daily. After: Self-serve visibility, Deflected.

Compliance checklists

Enforced steps, sign-offs, and audit trails for regulated flows.

Tribal to Verified. Before: Tribal knowledge, Risky. After: Enforced checklists, Verified.

Internal operations dashboards

Live operational truth pulled from the systems teams already use.

Stale to Live. Before: Weekly status decks, Stale. After: Live dashboards, Current.

Vendor and carrier integrations

Clean connections to TMS, WMS, ERP, and carrier APIs.

Re-keyed to Connected. Before: Swivel-chair re-keying, Error-prone. After: Direct integrations, Reliable.

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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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

Enterprise readiness

Built for operational trust.

Every workspace is designed for networks where data separation, accountability, and review are non-negotiable.

Secure tenant separation

Each provider's workspace, data, and tools are isolated by design.

Role-based access control

Operators, reviewers, and partners see exactly what their role allows.

Audit logs

Every action — human or agent — is recorded and traceable.

Human-in-the-loop approvals

AI proposes; designated reviewers approve where it matters.

Data validation

Extracted and incoming data is checked before it enters your systems.

Integration-safe architecture

Connections to your TMS, WMS, and ERP are scoped and reversible.

Monitoring and alerting

Workspaces are observed in production, not launched and forgotten.

Enterprise deployment patterns

Deployed to fit your cloud, compliance, and procurement requirements.

Before / After

From manual coordination to intelligent operations.

Drag to compare how the same shipment day looks before and after a custom AI workspace.

After

Commercial invoice extracted + validated

Document Agent · reviewed

SHP-48214 exception routed to broker

Exception Agent · 14s

Customer timeline updated

Tracking Agent · auto

Handoff task assigned to warehouse B

Workflow Agent · queued

Daily ops summary published

Reporting Agent · 06:00

Before

RE: RE: FW: SHP-48214 customs docs??

inbox · 47 unread

status_update_FINAL_v3.xlsx

edited 3 days ago

Invoice re-keyed into portal #2 of 4

manual entry

Exception found in spam folder

2 days late

“Which version is current?”

nobody knows

  • Email threads
  • Manual status updates
  • Re-keyed documents
  • Lost exceptions
  • No single source of truth
  • AI-extracted documents
  • Live task queues
  • Automated exception routing
  • Tenant-specific dashboards
  • Human-reviewed AI actions

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.