We build chat bots that handle thousands of customer interactions at once
— answering FAQs, guiding purchases, and routing complex cases to the right person. Always on, always consistent.
Support queues
become too much.
Bots handle FAQs. Agents focus on complex issues.
Customers drop off
outside working hours.
24/7 availability.
Conversations never stop.
Bots feel robotic
and frustrate users.
Conversational design.
Natural language flows.
Integrations are nowhere
to be found.
CRM, e-commerce, and support tools connected.
Didn’t find what you were looking for? Drop us a line at info@toimi.pro.
Customer support bots reducing ticket volume 30-50%, sales qualification capturing leads 24/7, internal knowledge assistants, onboarding guides, scheduling bots, and AI research assistants. Mountain View companies get strongest ROI from support automation and after-hours lead capture serving global audiences across time zones.
GPT-4, Claude, and open-source LLMs with RAG for accurate, knowledge-grounded responses. Fine-tuned intent classification trained on your data. Given Mountain View's AI leadership (Google Brain, DeepMind), clients expect chatbots pushing technical boundaries — multi-modal interactions, tool use, and genuine conversational intelligence.
RAG pipelines grounding responses in verified knowledge, confidence scoring routing uncertain queries to humans, content filters, and continuous monitoring. Mountain View brands can't afford credibility damage from AI errors. For regulated industries: compliance checks ensuring responses meet accuracy and disclosure requirements.
Zendesk, Intercom, Freshdesk for ticketing; Salesforce, HubSpot for CRM; Slack, Teams for internal deployment; website, app, WhatsApp for customer channels. Chatbots pull customer context for personalized responses — not generic FAQ answers. Seamless human handoff with full conversation context.
Resolution rates, satisfaction per conversation, topic analysis, escalation patterns, and accuracy metrics. Continuous learning loops expanding knowledge from unresolved queries. Mountain View operators get visibility into what customers ask and how effectively the chatbot handles each category.
Extending brand voice — technical for enterprise, warm for consumer, authoritative for healthcare. Varied response patterns, sentiment-adaptive tone, and transparent AI disclosure. Mountain View's tech-savvy audience appreciates genuine AI capabilities presented honestly rather than bots pretending to be human.
6-10 weeks — conversation design (1-2 weeks), development (3-4 weeks), testing (1-2 weeks), deployment (1-2 weeks). 2-4 week supervised period post-launch refining responses from real Mountain View user interactions.
Management retainers — knowledge updates, quality monitoring, model fine-tuning, new conversation flows, and performance reporting. Mountain View chatbots improve 10-20% in resolution rates over the first six months of ongoing optimization.
