Prompt engineering guide
Learn how to write clear support prompts that classify tickets, explain decisions, and keep the model grounded in the customer issue.
Build AI support agents with a more human touch
With enhanced reasoning and a human-like tone, Spark uses your internal knowledge to take relevant action across systems and tools.
Transform support experiences with Spark
Spark helps customer experience teams automate support interactions without giving up careful reasoning, context, or tone.
Handle support requests with context
Spark can understand customer intent, use internal knowledge, and produce answers that reflect the policies and systems your team relies on.
Follow detailed support processes
Support workflows often depend on nuanced business logic. Spark keeps the steps, exceptions, and reasoning visible before action is taken.
Route and classify tickets faster
Give teams a faster path from incoming issue to category, priority, rationale, and next step without losing the customer context.
Get to production faster with the Spark Developer Platform
Build, test, and deploy support workflows with the tools your team needs to move from prompt to production.
Prompt
Classify this customer support ticket into the most relevant category.
Use the ticket details, the customer context, and the available policy guidance to explain the decision.
Instructions
Provide a category, confidence level, escalation recommendation, and concise reasoning.
Spark reviews the request, compares it with known support categories, and returns a structured classification:
1. Category
Billing and account access. The customer is asking about a failed payment, plan status, and next renewal date.
2. Reasoning
The ticket includes billing language, no product defect, and no shipping issue. The policy note points to account recovery before escalation.
3. Recommended action
Send the billing-status response, include the renewal date, and escalate only if the account lookup returns an error.
Output format
- Category and priority.
- Reasoning in plain language.
- Next action for the support team.
Built for developers
- Use prebuilt guides to move common support workflows faster.
- Connect prompts, context, evaluation, and deployment in one implementation path.
- Give developers clear examples for classification, routing, and escalation.
See what customer experience teams are saying
Customer experience
AI support should feel precise, contextual, and genuinely helpful.
The goal is not just faster automation. It is support that understands the customer, respects the workflow, and gives teams more room for strategic work.
Customer stories
Support teams use AI to raise response quality, handle nuanced conversations, and keep humans focused on complex customer moments.
Back to all industriesCustomer support resources
Build support agents
Create agents that can reason through customer requests, follow support playbooks, and hand off the right context to human teams.
Improve customer experience
Use AI to support faster responses while preserving tone, accuracy, escalation paths, and the human quality of each interaction.