The customer promise.
The moment a customer buys, the business commits to stock, payment, fulfillment, delivery, returns, and service working as one chain.
Commerce execution platform
Keep every commerce promise accountable.
KarmanFlow helps omnichannel teams stop oversells, missed handoffs, and support escalations when storefronts, marketplaces, stores, warehouses, 3PLs, and agents disagree. Operators get one place to act, builders get one contract to extend, and leaders get receipts for what changed, who approved it, and why.
Availability, order exceptions, connectors, support, and agents.
Storefront3PLPaymentAgent
KCommandPolicyReceiptEvent
order.createpolicy passshipment.updateevent postedrefund.previewapprovalsource.proposereceipt ready
Operating challenge
The buy button depends on work your stack does not coordinate.
Every order promise touches availability, allocation, fulfillment, service, payments, and partner systems. When each tool owns a different slice of the truth, launch days turn into reconciliation and customers feel the delay.
Availability truth.
Sellable inventory is more than on-hand stock. It includes reserved, allocated, incoming, blocked, damaged, and channel-promised units.
The handoff risk.
Storefronts, marketplaces, stores, 3PLs, carriers, finance, support, and agents all touch the promise. Each handoff needs one controlled action path.
Why teams stall
Dashboards show the issue. They rarely control the handoff.
Operations teams need a system of action: one place where people, systems, connectors, and agents can make a safe change without losing ownership, approval context, or the evidence trail.
Every system answers differently.
Storefront, marketplace, 3PL, finance, and support tools each see a different version of the same order. Teams spend the day reconciling instead of operating.
Automation cannot safely act.
Agents can read dashboards, but writing into commerce systems is risky when permissions, approvals, and recovery paths are scattered.
Exceptions become custom work.
Every connector, workflow, and exception rule turns into one-off glue. Launch takes longer, and every future change adds operating cost.
KarmanFlow approach
Make the action the contract.
Traditional OMS and inventory projects can centralize records while leaving write paths scattered. KarmanFlow makes every material change follow the same sequence: request, policy, command, receipt, event.
MomentTraditional stackKarmanFlow
Order comes in
The storefront accepts the order before the rest of the network agrees.
The promise is checked against availability, policy, and the action history.
Stock changes
Warehouses, stores, imports, and spreadsheets race to update different counts.
Every adjustment, reservation, transfer, and feed lands as a governed event.
Exception happens
Support searches vendor screens and Slack threads to learn what changed.
Operators open the receipt chain: actor, policy, decision, event, and next action.
Automation enters
Agents stay read-only or get risky direct write access.
Agents use scoped tools, previews, approvals, receipts, and run history.
Platform
One execution plane across the commerce lifecycle.
Start with the operating lane that hurts most, then expand without rebuilding the control model. Availability, orders, fulfillment, service, connectors, analytics, and agents share one accountable path.
One action layer for commerce.
Availability, orders, fulfillment, connectors, payments, analytics, and agents follow one governed path from request to receipt.
Adopt what you need, when you need it.
Start with one painful operating lane. Add connectors, service workflows, analytics, agent workflows, and enterprise trust without rebuilding the foundation.
Every action leaves proof.
Human, system, connector, and agent actions produce receipts, decisions, evidence, and traceable owners. The audit trail is part of the work.
Lower TCO without hiding control.
Shared contracts, hosted surfaces, modular activation, and usage-aware entitlements reduce one-off implementation and long-tail maintenance.
Sandbox evidence
What teams can evaluate with current proof.
The proof centers on surfaces your team can inspect: availability reads, inventory ingestion, connector publication, agent boundaries, and receipts. Scale and connector-speed claims stay tied to measured evidence shared during review.
Product availability calls
Ask for a variant, location, and optional promise date. KarmanFlow composes the sellable answer from on-hand, reserved, allocated, incoming, safety stock, and damaged stock.
The public reference documents availability, projected incoming supply, and freshness-aware fields. Hosted access is provisioned through preview workspaces.Inventory ingestion with a commit boundary
Connectors open an ingestion run, submit normalized batches, then commit accepted records. Inventory levels, movements, and channel availability land together.
The CLI reference documents start-run, submit-batch, and commit-batch. Throughput claims are shared only when measured receipts support them.Inventory and status out to target systems
Outbound publication is shaped per target system: inventory to storefronts and marketplaces, fulfillment status to checkout and customer messages, and order edits only when approved.
Shopify, Amazon US, ShipBob, and Adyen are preview connector packages. Freshness follows vendor rate limits and the budget selected for the workflow.Agent-ready extension boundary
Agents use scoped tools, typed actions, policy checks, receipts, and run history. The model can propose or execute only where the workspace contract permits it.
Read-only and scoped-write agent lanes are documented for preview. Broad-impact writes remain human-owned until the approval surface is ready.Auditability is part of the action
People, systems, connectors, and agents all leave actor identity, policy decisions, command receipts, events, retry keys, and trace context on the same story.
Receipts, domain events, webhook delivery state, trace packets, and CLI inspection are documented public surfaces.Measured scale contracts
Ingestion envelopes, target-publication freshness, connector preflight evidence, and load-test receipts will be published as preview cells prove them.
Commerce APIs differ by vendor, concurrency model, and rate limit. The product promise stays tied to evidence.Control model
Governed actions, not untracked edits.
Every screen, connector, import, API call, and agent proposal uses the same boundary. Policy decides what can move, approvals capture who owns the decision, and receipts explain the outcome.
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.
Commerce domains
Adopt the lane that matches the operating pain.
Inventory promise is the entry point. The same action model then extends to sourcing, allocation, order exceptions, service, payments, analytics, connectors, and AI-assisted operations.
Inventory and availability
Promise what the network can honor.
Positions, reservations, safety stock, freshness, and channel promises resolve into one operating answer instead of a weekly spreadsheet argument.
SignalsATP/ATSChannel promiseReceipt
Dynamic availability, reservation control, freshness envelopes, channel publication.
Sourcing, allocation, and simulation
Test the promise path before it becomes policy.
Sourcing strategies, allocation rules, substitutes, dropship paths, transfers, and fulfillment choices can be simulated, compared, and rolled out with receipts.
DemandSimulateExperimentAllocate
Dynamic sourcing, allocation strategy, A/B testing guardrails, simulation runs, fulfillment work units.
Orders and fulfillment
Keep every handoff visible.
Orders, holds, shipments, returns, and fulfillment tasks share one timeline so operations can resolve the next action instead of hunting for ownership.
OrderReserveFulfillEvent
Orders, fulfillment, returns, shipments, progressive actions, events.
Customer service agents
Answer support asks from evidence, not screenshots.
Delivery questions, cancellations, returns, refunds, store handoffs, and inventory promises can follow one request-to-receipt framework instead of ad hoc agent shortcuts.
AskContextPreviewReceipt
Customer-service request model, agent profile schema, delivery-status references, approval-bound action plans.
Payments and commerce rails
Connect payment facts without losing the trail.
Payment method modules, partner payment adapters, and future regional rails fit the same activation and audit model as every other commerce capability.
IntentMethodAdapterLedger
Payment method feature kind, Adyen connector, regional pack posture, partner-led rails.
Analytics and operations intelligence
Facts are universal. Views are packaged.
Events, receipts, movements, and delivery attempts are captured for everyone. Rollups, alerts, exports, simulations, and forecasts turn on by operating need.
EventsMetersRollupsActions
Usage meters, rollup policies, operational metrics, BI/event export, simulation and replay.
Connectors and partner systems
Integrate once, operate continuously.
Source and destination connectors translate external systems into governed commerce actions, with replay, freshness, and failure evidence built in.
SourceMapActionReplay
Shopify, Amazon US, 3PL/WMS, payments, webhooks, replay, freshness checks.
Agents and AI operations
Let agents act where policy permits.
Internal, customer-owned, and partner-owned agents observe, explain, preview, propose, and execute only through scoped tools, risk classes, approvals, receipts, run history, and declared profiles.
ObservePreviewApproveExecute
MCP, UCP, customer-service agent profiles, scoped actions, approvals, receipts, run history.
Trust, scale, and audit
Performance and proof share the same spine.
Isolation, idempotent actions, event history, worker controls, and deploy evidence keep operations scalable without making proof optional.
WorkspaceActionEventEvidence
Receipts, policy decisions, event history, workload controls, proof bundles.
First operating proof
A working console and receipt path from the first preview session.
Operators inspect work, approvals, connector health, agent proposals, and receipts in one place. The first preview session ends with a traceable action, not a passive walkthrough.
Choose the operating shape.
Pick a commerce profile, choose the first domain to prove, and start with defaults that can grow into production policy.
Connect or seed the first lane.
Use seeded data or connect a channel. The goal is a working workspace with visible entities, not a static demo screen.
Run a governed action.
Create a reservation, order, connector replay, or agent proposal and see the decision, event, and receipt land together.
Open the evidence.
Read the receipt, inspect the event chain, and see which actor, connector, or agent touched the workflow.
Add the next module.
Turn on another domain, connector, metric, approval gate, or agent workflow only when it maps to real operating value.
AI operations
Agents work only inside the action boundary.
KarmanFlow does not give agents a shortcut around operations. Every change is a typed action with a policy check and a receipt.Whether the actor is a human, a system, or an agent, the same rules apply.
Built around actions, not chat.
Every change in KarmanFlow is a typed action with a policy check and a receipt. An AI agent uses the same approved path your operators do.
Approvals work for AI too.
Risky actions wait for the right human, whether a person or an agent proposed them. Routine work flows through. No silent commits, no backdoor writes.
GraphQL for product-grade workflows.
Read and write through the same governed contract the operator console uses, with typed inputs and hosted reference docs.
Open API guideMCP for governed agent tools.
Expose read tools, previews, and approved actions to agents with risk classes, scopes, freshness, and evidence metadata.
Open MCP guideEarly preview
Map your highest-risk workflow to a proof path.
Start with the promise or exception that costs the most time today: oversells, stale availability, connector replay, order changes, returns, support escalation, or agent approvals. We will map the first preview path with you.