Availability you can trust.
On-hand, reserved, incoming, safety stock, freshness, and channel promises resolve into one answer your team can defend.
Platform
The execution plane for agent-ready commerce.
KarmanFlow gives commerce teams one governed path for availability, orders, customer-service requests, sourcing strategy, allocation strategy, simulation, payments, analytics, connectors, workflows, and agents. Adopt what you need, keep the proof, and scale without rebuilding the operating model.
What you get
The customer-facing surfaces your team can adopt first.
Orders with one timeline.
Orders, holds, fulfillment work, shipments, returns, and exceptions stay readable across every handoff.
Customer service requests.
Delivery questions, cancellations, returns, refunds, voice, delivery issues, and store handoffs move through context, preview, approval, and receipts instead of agent shortcuts.
Connectors with replay.
External systems feed governed actions with source authority, freshness checks, retry paths, and failure evidence.
Sourcing you can test.
Allocation, transfer, substitution, dropship, and fulfillment choices can be simulated, compared, approved, and rolled out.
Payments beside operations.
Payment, refund, and provider facts sit next to the operational action they affect, without exposing provider-specific complexity.
Analytics from the source of action.
Receipts, events, movements, and attempts become the base for rollups, alerts, exports, simulations, and forecasts.
Agent-ready approvals.
Agents can observe, preview, propose, and execute only inside scoped policy, risk classes, approvals, and run history.
Audit without reconstruction.
Every material change has an actor, reason, decision, receipt, event, and evidence path.
How work moves
One path from request to receipt.
Screens, imports, connectors, APIs, and agents all ask for business outcomes through the same boundary. That is what makes the platform easier to adopt, audit, and extend.
Safe change
Work updates only after the rule passes.
Bulk without chaos
Large imports keep row-level evidence and clear replay paths.
AI with boundaries
Agents can propose, wait for approval, or execute only where policy allows.
Outcomes
The work your team can stop repeating.
Start with one operating pain, then add domains and packs when the need is real.
Launch faster through shared action patterns, APIs, connector paths, and hosted surfaces.
Keep humans, systems, connectors, and agents behind the same approval boundary.
Answer what changed, who approved it, and why without stitching screenshots together.
Where we draw the line
What KarmanFlow is, and what it isn't.
KarmanFlow is the governed layer around commerce work. Your current systems can stay in place while actions, approvals, receipts, and agent work become easier to control.
Works with your commerce stack.
KarmanFlow is not trying to replace your storefront, 3PL, payment processor, or finance system. It gives them a shared control path.
AI-native below the UI.
Agents are safe because every action already has scope, policy, approval, and receipt semantics.
Modular by operating need.
Adopt availability, orders, connectors, analytics, sourcing, allocation, payments, or agent workflows as the business case appears.
For leaders who buy outcomes
Three answers your stakeholders ask first.
Operators run KarmanFlow day to day. The people who sign off on it ask whether the launch will hold, whether the books will tie out, and whether the audit trail will survive a regulator question.
Marketing leaders.
Channel availability that holds during a launch. Attribution survives the cancellation path because every reservation, oversell, and refund carries the campaign and channel that produced it.
Finance leaders.
Every reservation, oversell, and write-off has a receipt with an actor and a reason. Month-end reconciliation reads from one event stream, so metered counts, invoiced counts, and inventory truth agree to the cent.
Security and compliance.
Every command leaves a tamper-evident receipt with policy decision and approval grant attached. Agent actions follow the same approval boundary as humans, scoped by risk class.
Early preview
See it run on your operating model.
We will map one painful workflow, stand up a preview workspace, and show the first receipt before expanding the surface area.