Customer Support Copilot
Support acceleration with conversational memory, knowledge retrieval, and governed response assistance.
Why support teams lose resolution speed
- ●Support agents spend too much time searching fragmented internal documentation.
- ●Context from past conversations is often lost across channels and handoffs.
- ●Teams need response assistance without sacrificing accuracy and governance.
- ●Upsell and retention opportunities are missed during support interactions.
What Customer Support Copilot provides
Live Support Chat
Acme Corp · Enterprise Growth plan · TKT-8847
AI Suggestions
Share gateway timeout configuration steps
Confidence: 94%
Suggest token rotation for batch endpoints
Confidence: 87%
Offer diagnostic script for latency profiling
Confidence: 82%
Ticket
AI-assisted responses
Provide support agents with context-aware suggested replies in real time.
Live Support Chat
Acme Corp · Enterprise Growth plan · TKT-8847
AI Suggestions
Share gateway timeout configuration steps
Confidence: 94%
Suggest token rotation for batch endpoints
Confidence: 87%
Offer diagnostic script for latency profiling
Confidence: 82%
Ticket
Conversation memory
Retain customer context across channels and support handoffs.
Customer History
Acme Corp · Full interaction timeline
Interaction Timeline
Auto-Injected Context
Customer migrated gateway infrastructure on Feb 19. Current issue likely related to post-migration batch endpoint configuration. Context reused from 2 prior sessions.
Account Info
Instant knowledge retrieval
Fetch relevant internal docs and runbooks directly in active tickets.
Knowledge Results
| Document | Type | Match |
|---|---|---|
| Gateway Migration Runbook | Runbook | 98% |
| Timeout Policy Configuration | Config | 94% |
| Token Rotation Checklist | Checklist | 87% |
| Regional Latency Troubleshooting | Guide | 81% |
Search Stats
Upsell opportunity detection
Surface expansion signals based on customer issues and intent.
Revenue Signals
Expansion opportunity detected from support interactions
Opportunity Indicators
Mentions SLA concerns frequently
High intent for priority support
Asks about proactive monitoring
Interest in observability add-on
Evaluating multi-team rollout
Expansion to 3+ teams likely
Revenue Signal
$42k ARR expansion
Recommend Enterprise Priority Support offer
Confidence
88%
Account
Policy-bound agents
Capability enforcement ensures autonomous systems operate within explicit boundaries.
Governance Flow
Policy-bound agent execution ensures autonomous systems operate within boundaries.
Autonomous systems require explicit boundaries.
Where it sits in the stack
PlantoOS Architecture
The stack relationship between apps, agents, runtime, and systems.
Applications
Products and workflows
Agents
LLM-powered autonomous units
PlantoOS Runtime
Execution · orchestration · control
Capability Layer
Policy enforcement and tool access
Medhara Core
Memory · governance · lineage
Enterprise + Public Systems
Databases, APIs, infrastructure
A new compute layer for systems operated by agents.
Key workflows
How data flows through the system in typical usage patterns.
Workflow 1
Input
New support conversation
Core Process
Retrieves relevant knowledge and prior customer context
Output
Faster first-response with accurate grounding
Workflow 2
Input
Live response drafting
Core Process
Generates policy-bounded suggestions for support agents
Output
Consistent high-quality responses with agent control
Workflow 3
Input
Resolution and follow-up
Core Process
Summarizes interaction and flags expansion opportunities
Output
Structured case memory and upsell signals
Measured outcomes
↓ 20–35%
Average resolution time
↑ 18–30%
First-contact resolution
↑ 10–20%
Expansion opportunity capture
Indicative ranges from internal benchmarks and early deployments; results vary by workload, model, and infrastructure.
How it integrates
SDK-first integration — governed from the first line of code.
Connect channels
Integrate ticketing, chat, and CRM context
Configure policies
Set response boundaries and escalation rules
Assist agents
Enable live suggestions and conversation memory