BCBuyerCare AI

Customer support AI agent

Launch a customer support AI agent only where the ticket evidence is safe.

BuyerCare AI gives ecommerce support teams an agent for repetitive post-purchase tickets: order status, returns, exchanges, policy answers, delivery exceptions, damaged items, subscriptions, and warranty triage. It starts draft-first and keeps refunds, credits, chargebacks, legal language, fraud, VIPs, and unclear cases human-reviewed.

Request support-agent audit Watch demo Support automation Returns agent Choose pilot
Support agent Governed
ClassifyAuto
ReplyDraft
MoneyHold
ProofD30

The first pilot separates tickets the agent can safely draft from cases that need support-owner approval.

Best fitDTC

Brands with repeated support tickets, policy-heavy post-purchase work, and a CX owner for guardrails.

Start inputTags

Anonymized ticket tags, macros, policies, and rough volumes can identify the first agent lane.

Launch modeDraft

The support AI agent drafts replies and internal notes before any safe-send lane is approved.

ControlHeld

Refunds, credits, replacements, legal language, fraud, VIPs, and unclear facts remain reviewed.

Agent workflow

Give the support AI agent a narrow first lane with measurable upside.

  • Verified order statusDraft replies from customer, order, fulfillment, tracking, carrier, and policy context.
  • Return and exchange intakeCollect item, reason, condition, policy window, and exchange preference before money decisions.
  • Policy answersGround responses in approved help content, product data, macros, and escalation rules.
  • Exception triageSummarize damaged-item, warranty, delivery, subscription, and billing cases for review.

Governance

Autonomy expands only after the support team sees proof.

  • Evidence-first draftsEach response shows the order, policy, macro, product, and customer context behind the answer.
  • Human-review lanesMoney movement, sensitive language, unclear facts, fraud, VIPs, and exceptions stay visible.
  • Scoped implementationProduction access is requested only after payment, kickoff, buyer owner, and workflow scope are clear.
  • Day-30 reportThe buyer sees drafted, resolved, held, escalated, hours saved, quality notes, and expansion fit.

Routing model

Every ticket gets a clear action lane before the agent sends anything.

Ticket patternAgent modeHuman controlProof metric
Low-risk WISMODraft or safe-sendEscalate stale, angry, missing, or high-value casesReplies and hours saved
Return requestIntake and next-step draftRefunds, credits, and policy exceptions reviewedDrafts and held cases
Product or policy questionGrounded answer draftEscalate ambiguity and sensitive claimsQuality and safe-send rate
Damage or warranty issueEvidence request and case summaryReplacement and concession decisions reviewedDecision latency

Paid pilot

Start once the first support-agent lane is chosen.

The paid pilot proves one customer support AI agent workflow before broad rollout. If the lane is clear, checkout can start the commercial pilot. If not, request the fit audit below.

Checkout Loads in production

Payment links appear here when configured. If support-agent fit is not clear yet, request the audit first.

Request audit

Support-agent audit

Find the first workflow your customer support AI agent should prove.

Share current ticket volume, stack, and the repetitive tickets that should move faster. BuyerCare will reply with the first workflow, risk lanes, and paid-pilot fit.

Proof threshold

The support AI agent should earn more autonomy from ticket evidence.

BuyerCare validates the first workflow from exports, starts draft-first, then expands only where the proof report supports recurring savings and safe controls.