AI Chatbots that handle support and pre-sales like your best employee – just faster.
We design and manage advanced AI-powered chatbots that automate customer support, capture and qualify leads, and integrate directly with your existing tools and business workflows.
Most chatbots are toys. They frustrate customers, dump messy data, and break at the first real question.
Our AI agents are different. We build fully customized, guardrailed systems that understand your business, talk like your brand, and deliver structured, useful output to your team.
This service is a fit if:
- Your support team is overloaded with repetitive questions.
- Your website gets traffic, but too few qualified leads.
- Sales spends time answering basic pre-sale questions instead of closing deals.
- You want to adopt AI, but need a partner who can handle the tech, safety, and integrations.
Ideal clients:
- B2B companies with complex offers or multi-step sales.
- Ecommerce and subscription businesses with recurring support needs.
- Service providers with lead forms and inbound inquiries that need structure.
What Chatbot Problems Do We Solve
We focus on real business outcomes:
- High support workloads and long response times.
- Lost leads due to slow or no follow-up.
- Inconsistent support quality between agents.
- Unstructured conversations that never turn into usable data.
- Fragmented tools (email, chat, CRM, Slack) that don’t talk to each other.
What We Deliver
We design and manage advanced AI agents for:
Customer Support Automation
- 24/7 first-line support for FAQs and common requests.
- Context-aware answers based on your knowledge base, policies, and resources.
- Smart handoff to human agents with full conversation context.
- Ticket categorization, tagging, and routing to the right team.
Hybrid Pre-Sales & Lead Qualification
- Conversational lead capture instead of static forms.
- Structured collection of contact details, needs, budget, timeline, and priority.
- Objection handling based on your real sales process.
- Warm lead summaries sent directly to Slack, email, or your CRM.
Internal Assistants (Email, Slack, Teams)
- Email auto-replies, sorting, and summarization.
- Slack/Teams assistants that answer internal questions using your documentation.
- AI tools that help your team find answers faster and reduce internal interruptions.
How Does our AI Chatbot Work – Implementation Process
By default, our agents support:
Phase 1
Discovery & Design
- Deep-dive workshop into your business, support flows, and sales process.
- Mapping of conversation types, use cases, and handoff rules.
- Definition of tone of voice, guardrails, and “red lines” for the agent.
Phase 2
Architecture & Knowledge Base
- Structuring FAQs, policies, help articles, and internal docs.
- Designing conversation flows and tools (actions, lookups, APIs).
- Setting up sandbox environment for safe testing.
Phase 3
Build & Test
- Implementing the AI agent with tools, guardrails, and business logic.
- Connecting to your chat/email/Slack/CRM stack.
- End-to-end testing with edge cases and real sample data.
Phase 4
Rollout & Handover
- Limited-scope rollout (e.g., a segment of users, specific use cases).
- Monitoring, debugging, and quick iteration based on real usage.
- Final adjustments before full deployment.
Phase 5
Ongoing Management (Retainer)
- Monthly conversation reviews and agent fine-tuning.
- Adding new intents, use cases, and knowledge.
- Building or extending workflows and integrations.
- Data cleanup, model upgrades, and strategy sessions.
What’s Included in the Retainer
- Conversation reviews and quality improvements.
- Knowledge base updates and new intents.
- Development of new workflows and tool integrations over time.
- Data quality checks and monitoring.
- Model and guardrail updates as technology evolves.
- Monthly strategy call to align with your business goals.
- Sandbox for testing changes safely before rollout (when needed).
What’s Not Included
- Live human support agents.
- Unlimited tools and integrations (large expansions are separate projects).
- Multi-brand setups without specific scope.
- On-call emergency support outside agreed SLAs.
Engagement Model
- One-time setup and implementation fee based on complexity.
- Ongoing AI agent management under a monthly retainer.
- Minimum term recommended: 6–12 months for meaningful impact.