human-led by design
Autonomy you control.
Trust you can verify.
We build, operate, and continuously improve our Agentic Order Management System with one clear priority: protecting your data and ensuring the reliability your business depends on. fulfillmenttools agents act within boundaries you define.
How agents act within boundaries
Escalation trigger when confidence drops
Audit trails for every decision
The governance principle
Agentic where it adds value, deterministic where it doesn't
Not every OMS decision should be agentic. High-volume, well-structured decisions are better served by deterministic rules: predictable, traceable, cheap to run, easy to audit. Our rules engine stays the right tool for those.
We reserve agents for decisions that are context-rich, multi-objective, and variable — where fixed rules force compromises or manual rework. Every agent needs a clear goal and a measurable contribution. If we can't define both, we don't build it.
escalation ladder
Governance by design, not by checklist
Set confidences threshold at which an agent acts alone. Below it, the agent escalates. Above it, it acts and reports. Thresholds are configurable per customer, use case, and agent.
First
Notify
The default within scope. Agents act, resolves issues, and informs people and systems that need to know. No waiting, no bottleneck.
Second
Approve
Above a defined threshold, the agent prepares the decision, presents the options and trade-offs, and wait for human confirmation.
Third
Co-decide
The agent do not act alone. It surfaces the pattern, proposes responses, and make decicions together with teams.
transparency
Explainable, traceable, reversible
Retail and B2B fulfilment touch contracts, money and customer trust. Black boxes are not an option.
Explainable
After making a decision, an agent can articulate why it decided the way it did: which options it evaluated, which criteria tipped the balance, which data it used.
Traceable
Every action leaves an audit trail: which agent, which version, with what input, with what outcome. Reconstructible even weeks later.
Reversible
Actions can be undone or corrected (compensation, rollback, override) wherever operationally possible. Terminal actions, such as a carrier pickup already dispatched, require higher confidence or human confirmation.
evolution stages
Autonomy is earned in stages, not switched on
No agent starts fully autonomous. Stages progress as trust, data quality, and guardrails mature. Every customer, use case, and agent can sit at a different stage at any time.
Understand
The agent suggests, humans decide.
Human involvement
- Every decision
Configure
The agent acts, humans approve before execution.
Human involvement
- Every action
Optimize
Agent acts within limits, humans own exceptions.
Human involvement
- Exception-based
Execute
Agents act independently within the policy.
Human involvement
- Audit and policy
Reference case
Governance in action: The Order Monitoring Agent
A shortpick threatens a delivery promise. The agent checks fulfillment probability, simulates alternatives — reroute, substitution, split, carrier switch — and weighs sunk cost against reroute cost against likely customer acceptance. It acts on the strongest option.
In scope
The agent resolves the shortpick risk and notifies your team thus no bottleneck arises.
Above threshold
Systemic pattern
The agent prepares the decision and options, and then waits for your approval.
Proactive by default, escalating by design
That's what your client advocate looks like under governance.
Proactive within scope, escalating by design.