AI
Most support teams aren't slow because of bad agents. They're slow because the wrong work lands on the right people.
Schedule a Technical Scoping Call.webp)
AI
Most support teams aren't slow because of bad agents. They're slow because the wrong work lands on the right people.
Schedule a Technical Scoping CallLegacy support operations run on a straightforward but broken model: every query - regardless of complexity - enters the same queue and waits for a human. A password reset sits next to a billing dispute. A product bug report waits behind a shipping status question.
The math doesn't work. Agents spend the majority of their time on repetitive, low-judgment tickets. Response SLAs slip. High-complexity issues that actually need human attention get the same rushed treatment as everything else. CSAT scores drop not because your team doesn't care - but because the volume makes real care structurally impossible.
The hidden cost isn't just overhead. It's churn from customers who waited too long, and burnout from agents who never get to do meaningful work.
We engineer custom, automated support systems that triage, resolve, and escalate - operating 24/7 without adding headcount.
Query ingested across every channel - chat, email, voice, or in-app widget.
AI identifies intent, urgency, and ticket category in milliseconds.
Tier-1 and Tier-2 queries are handled autonomously with context-aware responses.
This requires robust AI Integration to connect across your helpdesk, CRM, and product database - often augmented with Agentic AI to autonomously pull order history, account status, or prior ticket data before a human agent ever opens the thread. Explore our AI Services.
We reduce ticket volume and protect the customer relationships that drive retention.
A custom model is trained to handle the full support surface area of your product:
Refund policies, shipping timelines, plan features - answered instantly without agent involvement.
Password resets, billing updates, plan changes, and access issues resolved autonomously.
Status lookups, cancellations, and dispute intake handled end-to-end.
Intelligent classification of technical issues with automatic severity tagging and engineering escalation.
Handle order, returns, and shipping queries at peak-season volume without scaling headcount.
Resolve product and billing questions while routing genuine bugs to engineering with structured context.
Automate compliant responses to account, transaction, and policy queries within regulatory guardrails.
Triage service outages, plan changes, and device support across high call and chat volumes.
To build an accurate, context-aware support layer, we require:
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6–12 months of historical support tickets with resolution outcomes and agent-applied categories.
API access to your helpdesk (Zendesk, Intercom, Freshdesk, or equivalent) and CRM or product database.
All data is encrypted at rest and in transit. Your support model is fully siloed - customer conversation data is never shared or used to train models for other clients.
Off-the-shelf SaaS tools force your data into generic models with escalating per-transaction pricing. BNXT.ai offers
You own the model
and IP.
Trained exclusively on your transaction data, not global averages.
Sits natively inside your existing CRM and LOS - no clunky third-party dashboards.
The model is trained on intent patterns, not exact ticket matches. It identifies what a customer is trying to accomplish - even with novel phrasing - and maps it to the appropriate resolution path. Edge cases outside its confidence threshold are escalated to a human with context attached.
No. The model handles repetitive, low-judgment volume so your agents spend their time on complex issues, high-value accounts, and escalations that benefit from human judgment. Most teams see agent satisfaction improve alongside CSAT - because the work becomes more meaningful.
A custom support model typically takes 8 to 12 weeks from data ingestion to live helpdesk integration, depending on ticket volume, the number of support categories, and the complexity of your product knowledge base.
Yes. We engineer the system within your existing compliance framework - GDPR, HIPAA, SOC 2, or equivalent - with data handling, retention, and access controls configured to your regulatory requirements.
Yes. We build unified models that operate consistently across chat, email, in-app messaging, and voice - so customers get the same quality of response regardless of where they reach out.
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