We build chat bots that handle thousands of customer interactions at once
— answering FAQs, guiding purchases, and routing complex cases to the right person. Available 24/7, with consistent answers.
Support queues
become too much.
Bots handle FAQs. Agents focus on complex issues.
Customers drop off
outside working hours.
24/7 availability.
Conversations continue after hours.
Bots feel robotic
and frustrate users.
Conversational design.
Natural language flows.
Integrations are nowhere
to be found.
CRM, e-commerce, and support tools connected.
A bot that answers freely will eventually answer something it should not. A price it invented, a promise about a refund, a medical or legal opinion, or a confident statement about a product that does not exist.
The list of prohibited answers is a business decision and it belongs in writing before launch. Not a tone guideline. A list, with the refusal for each item and what the bot does instead.
Commitments are the sharpest category. Anything that sounds like a promise about money, timescale or outcome can be quoted back later. The safe pattern is for the bot to state what it knows and hand over, rather than to decide.
Then invention. A system that generates language will fill a gap rather than leave one, and a gap filled confidently is indistinguishable from an answer. The practical defence is to ground answers in your own documented material and to let the bot say it does not know.
Saying it does not know has to be designed rather than left as a fallback. Where that leads, how quickly a person arrives, and what the person receives from the conversation so far.
Disclosure belongs at the start. People behave differently when they know they are talking to software, and discovering it later reads as a trick. It costs one line.
Data has its own rules. What the bot may ask for, what it must never store, and how long a transcript is kept. A conversation window is an easy place for a customer to type something that should not be in your logs.
Enforcement is not a matter of instructions alone. Sensitive categories need a check on the way out as well, so that a response touching a prohibited area is stopped rather than trusted.
Then review, on a schedule. Read a sample of real conversations every week at first. The prohibited answer you did not predict is in that sample, and it will not appear in any test you wrote yourself.
Didn’t find what you were looking for? Drop us a line at info@toimi.pro.
Customer support bots handling FAQs and ticket routing, lead qualification bots that capture and score inquiries, booking and scheduling bots for service businesses, and internal bots automating HR or IT helpdesk queries. Oakland businesses with high inbound volume benefit most — bots handle repetitive conversations so your team focuses on complex requests.
A rule-based FAQ bot takes 3-5 weeks. AI-powered chatbots with natural language understanding, CRM integration, and conversation flows need 2-4 months. Oakland businesses typically start with a focused bot handling their top 10 customer questions, then expand its capabilities based on real conversation data.
Conversation complexity, AI vs. rule-based logic, integration count, language requirements, and training data needs drive pricing. A scripted FAQ bot costs less than a GPT-powered conversational agent with CRM integration and multilingual support. We scope based on the conversations your Oakland business needs to automate.
Yes. We build bots supporting English, Spanish, Chinese, and other languages relevant to your Oakland customer base. Multilingual support can use language detection and automatic routing or let users select their preferred language. This matters in one of America's most diverse cities.
Website chat widgets, Facebook Messenger, WhatsApp, SMS, Slack, and custom mobile apps. Oakland businesses choose channels based on where their customers already communicate. Multi-channel deployment ensures your bot meets East Bay users on their preferred platform.
Yes. We connect chatbots to Salesforce, HubSpot, Zendesk, Freshdesk, and custom systems. Leads captured by the bot flow directly into your Oakland sales pipeline. Support tickets are created and routed automatically. No manual data transfer between chat and your business systems.
We analyze your Oakland customer service data — most common questions, complaint categories, and resolution paths. Conversation flows are mapped, scripted, and tested before development. User testing with real East Bay customers validates that the bot handles conversations naturally and resolves issues effectively.
We analyze conversation logs to identify failed interactions, unrecognized intents, and common drop-off points. Monthly optimization improves response accuracy and expands coverage. Oakland businesses on chatbot retainers see continuous improvement in resolution rates and customer satisfaction scores.
