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Are your AI agents following your store’s policies and procedures?

Know when an agent skips an approval, mishandles a customer request, or leaves required work unfinished.

Saina checks agent behavior against your store’s rules, using conversations, agent activity, and Shopify records to show what happened and why.

Request a pilot See an example
01 — YOUR POLICIES

Set the policy. Check the behavior.

Define what your agents must do, when they must do it, and what they must never do.

Start with recent activity to see which requirements were met, which were missed, and where evidence is incomplete.

Refund approvalsRefunds over $150 require manager approval before they’re issued.
CHECKWas approval recorded before the refund?
ReturnsCustomers can return eligible items within 30 days of delivery.
CHECKDid the agent apply the correct return policy?
CancellationsNever confirm a cancellation until the order has been cancelled.
CHECKDid the agent confirm an action that wasn’t completed?
ReplacementsA promised replacement must be created or escalated.
CHECKWas the replacement created, or was the customer informed of the problem?
DiscountsOnly offer discounts when the customer meets the eligibility requirements.
CHECKDid the agent follow the discount policy?
HandoffsTransfer the conversation when a customer requests a human.
CHECKDid the agent hand off the conversation as required?
02 — THE EVIDENCE

A good conversation can still leave the order wrong.

An agent can sound helpful while skipping a required step or failing to complete what it promised.

Saina brings together the available evidence to check both the agent’s behavior and the outcome.

AWhat the agent saidCustomer messages, offers, promises, and confirmations.SOURCE · HELPDESK CONVERSATIONS
BWhat it attemptedTool calls, agent actions, and errors, when available.SOURCE · AGENT TRACES
CWhat actually happenedOrders, refunds, returns, cancellations, and fulfillment records.SOURCE · SHOPIFY
A + B + C A finding, backed by evidence. Missing evidence is reported, not treated as proof of a violation.
CONFIRMEDThe available records establish what happened.
NEEDS REVIEWThe evidence suggests a problem but doesn’t establish it.
INSUFFICIENT EVIDENCESaina cannot determine whether the requirement was met.
saina.NORTHWIND GOODS · ORDER #1047
POLICY Refunds over $150 require manager approval before they’re issued.
10:38Customer reports a damaged item.
10:40Agent offers a $189 refund.
10:41Agent requests approval.
10:41Approval tool returns a timeout.
10:42Shopify records a $189 refund.
CONFIRMED POLICY VIOLATION The agent issued the refund after the approval request failed, without receiving approval.
LIKELY CAUSE The agent continued after the approval tool timed out instead of retrying or escalating.
EVIDENCE —Refund confirmed in Shopify. —Approval request and timeout recorded in the agent trace. —No successful approval recorded before the refund.
03 — AN ORDER, CHECKED

Every finding reads like a receipt.

See the order, the conversation, the policy, and what happened in sequence.

Enough to investigate the cause or share a concrete case with the team responsible for the agent.

Illustrative example. Findings depend on the evidence available from connected systems.

04 — RECURRING ISSUES

Find the pattern, not just the individual failure.

When multiple agents fail the same requirement, Saina groups the cases and shows what they have in common.

See the affected orders, relevant configurations, and supporting evidence in one place.

ISSUE · REFUNDS ISSUED WITHOUT APPROVAL
14affected orders
$2,316in refunds involved
12/14involved the same agent tool version
SHARED CONTEXT The approval tool timed out before the agent issued the refund.
Illustrative example. Amounts involved are not necessarily financial losses.

Know whether your fix worked.

ALERTReceive alerts for the checks you care about.
INVESTIGATEInvestigate failures in Saina or with your AI assistant.
VERIFYAfter changing an agent’s instructions or tools, keep monitoring new activity to see whether the issue returns.
05 — INTEGRATIONS

Connect the systems your agents already use.

Saina is designed to work independently of the agent provider.

Bring together the records needed to evaluate your policies and procedures.

SHOPIFYOrders, refunds, cancellations, and fulfillment activity.
SUPPORT PLATFORMSCustomer conversations and the actions recorded by your helpdesk.
AGENT TRACESTool calls, execution history, and errors through OpenTelemetry or the Saina SDK.

We’re starting with Shopify and selected support integrations, including Gorgias, while validating additional sources with pilot teams.

06 — WHO IT’S FOR

Monitor your agents, regardless of who built them.

SHOPIFY BRANDSCX and operations teamsUnderstand where agents fall short of your store’s policies, which orders or requests were affected, and what needs attention.
AUTOMATION AGENCIESTeams deploying agents for multiple storesMonitor the requirements agreed with each client. Investigate failures with evidence you can share with the people responsible for fixing them.
ECOMMERCE AGENT BUILDERSTeams building custom automationsCheck how agents follow required procedures across customer support, order management, fulfillment, and other store operations.
07 — EARLY ACCESS

Start with the activity you already have.

We’re working with ecommerce teams to validate Saina’s first Shopify integrations and monitoring workflows.

01Tell us what you’re runningWhich agents and platforms do you use? What policies or procedures should they follow?
02Review real examplesWe’ll work with selected teams to evaluate recent agent activity and available business records against a small set of requirements.
03See what Saina findsReview the findings, supporting evidence, and any gaps in what can be verified.
Request a pilot Help us determine which checks and integrations would be most useful for continuous monitoring.
Early access · Pilot availability depends on your existing systems
QUESTIONS

Before you start.

Do I need to replace my existing agents?

No. Saina is designed as an independent monitoring layer for agents you already run.

Which agents can Saina monitor?

We’re starting with agents whose conversations or actions can be connected to Shopify records. Coverage depends on the integrations and evidence available.

How are conversations linked to orders?

Using available identifiers, such as order numbers, and supporting context. When a connection is inferred rather than confirmed, Saina labels it accordingly.

What access does Saina need?

Only the records required for the agreed checks. For initial pilots, we’ll determine whether read-only access or an export is appropriate.

Is the Shopify integration available now?

We’re validating the integration and monitoring workflows with early partners. The pilot will help determine which platforms and checks we support first.