Why Proxima
Your team can build an agent. The harder question is what happens after the demo.
The event contract, workflow pack, decision trace, action record and replay set you can inspect — plus what an internal build would have to cover.
The production boundary
A useful answer is only the beginning.
A prototype can read a record and suggest a next step. Operations begin when that suggestion has to survive incomplete context, repeated events, approvals, retries and the consequences of changing a live system.
Truth is distributed
Customer priority, promised time, current status and policy rarely live in one clean record.
Every action has a lifecycle
Proposed, approved, attempted, failed, retried and escalated are operational states, not prompt outputs.
Change needs evidence
Teams need to replay real cases and inspect why a decision changed before it reaches live work.
What you can inspect
The repeated machinery between an event and a safe action.
Policies and source systems stay specific to the customer. The operating structure around them becomes consistent and testable — and each layer is something your team can look at, not a claim about it.
Runtime spine
One trace from source truth to outcome.
Each layer leaves evidence for operators, engineers and reviewers instead of hiding the decision inside one opaque call.
promised_delivery_at can arrive from a courier API, a webhook or a Shopify export — the workflow reads one field.The whole path
What a Proxima workflow looks like in production.
An event from your systems becomes one canonical record. The workflow pack turns it into a decision with evidence attached. The action runs with retries and reconciliation — or waits for an operator, for the categories your team chose to approve by hand.
Every step leaves a record you can inspect: what was decided, why, what happened, and what changed as a result. When a policy or a source system changes, the new workflow version is replayed against historical cases before it goes live.
Build versus buy
What you would otherwise have to build.
The agent is the small part. The comparison is the system around it — every item below has to exist for a workflow to run in production, whether your team builds it or it comes with the platform. An internal platform can be right for a company with a dedicated agent-infrastructure team; for most D2C and 3PL operations teams, that work is not unique to their business.
Building it yourself
Months of platform work first.
- Source adapters for your OMS, WMS, courier portals (Delhivery, Xpressbees, Ekart, Blue Dart) and support desk — written and maintained per system
- Durable state for cases that stay open for days: storage, retries, timers, recovery
- Idempotency boundaries, so a retried webhook never sends two customer messages
- A replay harness and labelled historical cases to test every workflow change
- An operator console for proposals, approvals and failures
With Proxima
It ships with the platform.
- An implementation engineer writes the adapters into the common event contract during the deployment sprint — target six weeks
- Waiting, review, execution and verification are built-in runtime states
- Event- and action-level deduplication ship with the runtime
- Replay is built in — the two-day review runs your own historical cases through the workflow before anything goes live
- If a category misses the accuracy threshold you agreed, it reverts to human approval; you can exit at every gate
The line stays visible
Proxima does not replace the operation. It makes the software around it reusable.
The customer retains
The operational truth.
- Source data and field meaning
- Policy, permissions and credentials
- Owners, approvals and success measures
Proxima standardizes
The platform work.
- Events, workflow packs and decision traces
- Replay, evaluation and action lifecycle
- Operator evidence and production support
Start with one workflow
Bring a repeated event, a meaningful decision and an action that crosses people or systems.
The free two-day review runs your own cases through this machinery and quantifies what the workflow costs today. You keep the findings either way.