Fini AI
Agentic support automation that learns from docs and product data to answer customer questions and resolve tickets with usage based pricing and guarantees.
Overview
Fini AI positions itself as a results driven agent that resolves a large share of inbound queries by grounding answers in your knowledge base, past tickets and product data. It connects to sources like help centers and CRMs, then uses retrieval and tools to troubleshoot, escalate with context or trigger workflows. The pitch emphasizes measurable outcomes such as resolution rate and CSAT uplift, with guarantees that tie fees to performance.
Pricing is typically usage based per resolved conversation with free trial periods and longer guarantees in enterprise pilots. Teams adopt Fini AI to deflect repetitive questions, provide accurate step by step guides and hand agents clean histories when human help is needed. For companies seeking ROI clarity, the per resolution model aligns spend to value while keeping controls for data permissions and tone.
Key features
- Connects to help centers CRMs and product data
- Retrieval grounded answers with tool use
- Per resolution pricing model with guarantees
- Escalation with transcripts and suggested steps
- Analytics for CSAT deflection and gaps
- Multi language support for global teams
- Guardrails for permissions and tone
- Playbooks for onboarding and ROI proof
Best for
- Deflect repetitive how to and billing questions
- Guide users through step by step troubleshooting
- Trigger resets refunds or workflow actions safely
- Prepare clean transcripts for human agents
- Identify content gaps from failed answers
- Offer multilingual support on chat and email
- Run pilots with measurable resolution targets
- Prove ROI with per resolution analytics
Capabilities
Docs and history
Connect help centers CRMs and logs to ground answers in real policies steps and product context for each customer scenario.
Tools and playbooks
Walk users through actions and trigger allowed workflows, logging steps and outcomes for audit and learning.
Analytics and CSAT
Track resolution rate deflection and satisfaction, surface gaps that need new articles or product fixes.
Permissions and tone
Set data scopes tone and escalation rules so safety and brand voice stay intact across channels.
Frequently Asked Questions
How is Fini AI priced to start?
Public reviews and write ups cite usage based pricing from around $0.69 per resolved conversation with free trials and performance guarantees for pilots.
Does Fini AI replace human agents entirely?
It focuses on repetitive Tier 1 issues and hands off clean transcripts and context for escalations that need human judgment.
What sources can Fini AI learn from?
Typical connectors include help centers CRMs logs and product databases, admins can scope and update sources as policies change.
How are outcomes verified?
Dashboards attribute resolutions to the agent and track CSAT deflection and handoff quality so finance and ops can audit impact.
Is data privacy addressed?
Deployments include permission scoping redaction and policy controls, enterprises can request additional agreements where needed.
