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SOLUTION

AI Customer
Support

Resolution-focused support intelligence that works inside your helpdesk, not beside it.
THE POSITION

Deflection is a metric. Resolution is the outcome.

Support teams absorb the cost of every unclear process upstream. Volume grows faster than headcount and quality becomes uneven.

This solution combines grounded retrieval, account context, and permissioned actions so common requests are resolved completely and complex ones arrive at an agent already prepared.

CAPABILITIES

What the engagement includes

01
Grounded answers

Responses cite the policy or article they came from.

02
Account-aware actions

Order lookups, status changes, and refunds within policy limits.

03
Agent assist

Suggested replies and case summaries inside the existing helpdesk.

04
Quality loop

Every escalation becomes an evaluation case.

SYSTEM ARCHITECTURE

How the system runs end to end

REFERENCE FLOW
01
Request

Email, chat, or portal ticket arrives.

02
Understand

Intent, sentiment, and entitlement are identified.

03
Ground

Policies and account records are retrieved.

04
Resolve

Action taken or answer drafted with citations.

05
Escalate

Complex cases handed over with a full summary.

TECHNOLOGY

Typical stack

TypeScript Python pgvector Zendesk API Salesforce OpenAI Anthropic
OUTCOMES
Consistent service

Answers do not vary by shift or tenure.

Better escalations

Agents start with context, not a transcript.

Visible quality

Accuracy tracked per intent category.