Deflect repeat questions, route the rest correctly, and protect CSAT—with policy guardrails and escalation paths.
the problem
we deliver a production agent that:
Policy pack (tone, compliance constraints, what the agent must not do)
Retrieval over approved sources (help docs, SOPs, product docs, policies)
Ticketing integration: create/update tickets, add summaries/tags)
Evaluation + monitoring: hallucination resistance, correctness, containment, latency
1
Chat, email triage, or web widget
2
Categorize request and required fields
3
Respond from approved sources; ask follow-ups
4
Open a ticket and attach summary + evidence
5
Update ticket status and capture outcomes
primary kpis
quality & operations kpis
Ticketing: Zendesk, Freshdesk, Jira Service Management (or similar)
Knowledge: help center, internal docs, SOPs, product documentation
Messaging: web chat, email, Slack/Teams handoff
use-case SLIs
fixed
$150k
Best when you want one support agent live in a single channel.
fixed
$300k
Best when you want 2 agents (e.g., Support + Lead Response) or multiple knowledge domains.
highest roi
retainer
$400k/year
Best for ongoing knowledge governance, multiple channels, and continuous improvement.
We use retrieval over approved sources, policy constraints, evaluation suites, and escalation rules. Unknowns are routed to humans with full context.
Yes—ticket write-back is part of the build when appropriate.
No. It reduces repetitive load and improves routing so your team can focus on complex issues.
Reduce support load without sacrificing customer trust.
