Agents
AIChatbots&ConversationalAgents
Custom-built chatbots and support agents trained on your business data. From frontline customer support to lead intake and triage, these agents handle conversations across every channel so your team focuses on what matters.
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Example Use Cases
A beauty brand deployed a chatbot trained on their full product catalog and ingredient database. The bot recommends products based on skin type and concerns, reducing pre-purchase support tickets by 60% and increasing average order value by 23%.
A project management SaaS embedded a chatbot that walks new users through setup, answers feature questions, and links to relevant docs. Trial-to-paid conversion improved by 18% within the first month.
Example Use Cases
An online retailer handles 2,000+ monthly support tickets. The AI agent resolves 70% of order status, return, and shipping inquiries automatically, reducing average response time from 4 hours to under 30 seconds.
A B2B software company uses the agent to handle tier-1 support (password resets, billing questions, and common how-to inquiries), freeing their engineering-trained support staff for complex debugging.
Example Use Cases
A law firm uses a custom Claude agent trained on their case library and legal frameworks to draft research memos, summarize precedents, and flag relevant case law, cutting research time by 60%.
A private equity firm deployed a custom GPT agent that analyzes pitch decks, pulls comparable deal data, and generates initial screening reports, saving analysts 15+ hours per week.
Example Use Cases
A direct-to-consumer fashion brand deploys their support agent across web chat, Instagram DMs, WhatsApp, and email. Customers get the same quality answers on every channel, and the team manages all conversations from a single dashboard.
A real estate agency connects their lead agent across their website, Zillow inquiries, text messages, and Facebook Messenger. Prospects receive instant responses on whichever platform they prefer.
Example Use Cases
A personal injury law firm uses AI intake to collect incident details, assess case strength, and route high-potential cases to senior partners within minutes instead of the usual 24-hour turnaround.
An MSP deploys the triage system to categorize incoming support requests by severity, affected system, and user impact, automatically escalating critical issues and assigning routine tickets to the right technician.
UseCases
24/7 Customer Support for E-Commerce
An online retailer deployed our support agent to handle returns, order tracking, and product questions. 73% of tickets resolved without human intervention.
Patient Intake for Healthcare Clinics
A multi-location clinic uses our intake triage agent to collect symptoms, insurance info, and urgency level before routing patients to the right department.
Lead Qualification for SaaS Companies
A B2B SaaS company embedded our chatbot on their pricing page. It answers technical questions, qualifies intent, and books demos directly into their sales calendar.
Tenant Communication for Property Management
A property management company deployed our agent to handle maintenance requests, lease inquiries, and payment reminders across 2,000 units. Response time dropped from 4 hours to under 2 minutes.
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Discovery & Data Audit
We review your existing support data, FAQs, knowledge base, and conversation logs to understand your customers and common requests.
Agent Design & Training
We design conversation flows, train the AI on your business context, and engineer system prompts for accurate, on-brand responses.
Integration & Testing
We connect the agent to your channels (web, SMS, WhatsApp), CRM, and helpdesk, then run adversarial testing to catch edge cases.
Launch & Optimize
We deploy with monitoring dashboards, collect feedback, and refine the agent over the first 2 weeks based on real conversations.
FrequentlyAskedQuestions
Our agents achieve 85-95% accuracy on trained topics by combining retrieval-augmented generation with your knowledge base. For edge cases, the agent gracefully escalates to a human with full context.
Yes. Claude and GPT models support 50+ languages natively. We configure the agent to detect the user's language and respond accordingly, with your brand voice preserved across languages.
We implement guardrails: topic boundaries, confidence thresholds, and mandatory escalation for sensitive topics. You also get a conversation review dashboard to flag and correct issues.
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