A Budget-Friendly AI Agent for Customer Support
Resolves more tickets than competing tools, starting at just $0.50 per resolution, with no migration required.
- Up and running in minutes, no migration required
- Every answer sourced from your own knowledge base
- Hands off to a human agent exactly when it counts
Backed by well-known companies around the globe
Support AI you can count on: fewer repeat questions, quicker resolutions, more trust
Message volume isn't what makes support AI good. What matters is whether the answers are correct, consistent, and actually solve the customer's problem.
StarlixAI was built for support settings where a wrong answer has real consequences. The focus is dependable resolution quality rather than automation for its own sake.
- Answers stay grounded in the knowledge and policies you've approved.
- Uncertainty is handled with care rather than confident guesswork.
- Quality keeps improving based on feedback from real support conversations.
Pricing that scales with results, not with noise
Support teams shouldn't be stuck paying bloated per-conversation fees or surprise usage multipliers — you should pay for outcomes.
StarlixAI's pricing model is built for steady, predictable growth so you can scale up automation without blowing your budget.
- $0.50 per resolution: Roughly half the cost of Intercom Fin or HubSpot Breeze, and as much as 75% less than Agentforce (Salesforce).
- Steady scaling: Skip the massive upfront spend — costs rise only as outcomes succeed.
- Clear budgeting: Plan out AI support growth with transparent unit economics as volume shifts.
A smooth handoff to a human expert whenever it's needed
Automation is most effective when there's a clear line between what the AI handles and what goes to a person, with context carrying over instantly at the moment of escalation.
StarlixAI's handoff flows keep the conversation moving forward, so customers aren't stuck repeating themselves and agents aren't left piecing the thread back together.
- Escalation triggers send conversations to the right person automatically.
- Context carries over so agents can pick up right where it left off.
- Handoff is reserved for sensitive situations and edge cases that need it.
Traceable answers give teams confidence in every reply
Whenever a response touches refunds, account access, or compliance, teams need to know exactly why the AI answered that way — explainability is essential for quality control.
StarlixAI makes answer traceability practical, letting support and operations teams review behavior, check sources, and tighten up guidance quickly.
- Dig into answer rationale during QA sessions and team calibration.
- Catch weak or stale guidance before it reaches a customer.
- Build internal trust through response behavior that's fully auditable.
Tune behavior to fit your brand, policies, and service model
Your support AI ought to sound like your own team and follow your own playbook. Generic, one-size-fits-all behavior leads to inconsistency and a weaker customer experience.
StarlixAI lets teams dial in tone, boundaries, and response style so the automation mirrors the same standards your human agents are held to.
- Tone matches your brand voice and what customers expect to hear.
- Set firm boundaries around what the AI should and shouldn't touch.
- Behavior adapts by audience, workflow, and support context.
- Policy updates show up in live conversations without delay.
Actions
Top-tier support operations need more than a chatty reply — they need workflows that actually get things done inside your systems.
StarlixAI automates the key steps along the support journey, so customers reach a resolution faster and agents spend less time on repetitive busywork.
- Kick off ticketing and service workflows straight from the conversation.
- Pull up account or order details without manual lookup loops.
- Standardize routine follow-up actions to cut down handling time.
Drop StarlixAI into the stack you already have — no rebuild needed
Most support teams juggle more than one tool at a time. StarlixAI plugs in alongside Intercom, HubSpot, and Zendesk so you can expand automation without ripping out your existing platform.
That cuts down on migration headaches and lets teams phase automation in gradually, while agents and managers keep the workflows they already know.
- Introduce AI gradually, channel by channel and queue by queue.
- Keep your existing processes intact while automation coverage grows.
- Avoid getting locked into one single channel-specific experience.
Enterprise-grade controls for conversations and customer data
Security isn't optional for AI that talks to your customers. Support leaders need well-defined controls that line up with internal governance and compliance requirements.
StarlixAI bakes security into its operational practices, so teams can roll out AI responsibly and stay confident once it's live in production.
- Platform controls built around enterprise support operations.
- Clear oversight of AI behavior and escalation policy at all times.
- Compliance reviews backed by transparent operational practices.
StarlixAI Compared to the Rest of the Market
| CAPABILITY | StarlixAIOUR PICK | EVERYONE ELSE |
|---|---|---|
| Resolution Rate | >80% | ~70% |
| Pricing | Starting at $0.50/resolution | $1-2/resolution |
| AI Customization | Fine-grained control over tone, creativity, and rules | Limited presets, low customization |
| Knowledge Management | Proprietary RAG engine with sharded knowledge base | Simple KB search |
| Transparency | Complete visibility with source tracking | Black box |
| Security | Enterprise-grade | Varies |
| Deployment | No-code setup, live within days | No-code, live in days |
| Integrations | Support across every major channel | Single ecosystem |
“Working with the StarlixAI team felt hands-on from day one. Their guidance was thorough and their support was quick to respond, which meant our assistant ended up matching our brand voice and support goals precisely. Since launch, customer engagement has jumped noticeably because we're now reachable around the clock, no matter what time zone someone is writing in from.”
