AI Chatbot Development & Assistants

Conversational AI that answers, assists, and acts—across your apps and customer touchpoints.

Custom AI chatbots that understand your data and get work done

We build domain‑aware assistants that connect to your apps, knowledge bases, and workflows. From customer support bots on your website to internal copilots that summarize records, generate drafts, and trigger actions—our chatbots deliver accurate answers with enterprise‑grade security.

For your website & customers

Reduce response time and increase conversions with 24×7 assistance: product Q&A, pricing/help, lead qualification, appointment booking, and handoff to human agents when needed.

For your teams & apps

Give teams an in‑app copilot: search across docs, summarize tickets, draft replies, create reports, and trigger actions in CRMs, ERPs, and data warehouses securely.

Grounded in your data

Retrieval‑augmented generation (RAG) keeps responses current and verifiable using your private data—files, wikis, databases, and APIs—with sources cited.

Secure by design

Role‑based access, PII redaction, audit logs, and region‑aware hosting. We align with your security posture and compliance requirements.

What we build

Assistants that answer, summarize, and act—natively integrated with your stack.

Website & WhatsApp chatbots
In‑product copilots
Internal knowledge assistants
Ticket & email summarizers
Lead qualification & routing
Multilingual support
Form filling & automation
Analytics & feedback loops

Connect to your tools

We integrate with CRMs, ERPs, help desks, data warehouses, and communication channels to turn chat into actions.

From pilot to production

A pragmatic, data‑first approach that gets value live quickly—and scales safely.

  1. Discovery & Use‑cases: goals, guardrails, user journeys.
  2. Data & Access: sources, permissions, retrieval strategy (RAG).
  3. Prototype: prompt flows, evaluation, success metrics.
  4. Integrations: connect CRMs/ERPs/helpdesk and actions.
  5. Hardening: safety, RBAC, monitoring, analytics.
  6. Launch & Iterate: feedback loops, continuous improvement.

Practical, composable stack

Model‑agnostic architecture with battle‑tested components.

Models
OpenAI, Anthropic, Google, open‑source LLMs
Retrieval
RAG, embeddings, vector DBs (Pinecone, PGVector)
Orchestration
Serverless APIs, workers, queues
Integrations
REST/GraphQL, webhooks, OAuth, webhook actions
Security
RBAC, encryption, audit logs, PII redaction

Measurable impact

Faster responses, higher CSAT, and fewer repetitive tasks for your team.

FAQs

Common questions about AI chatbots and assistants.

Can the chatbot use our internal documents securely?

Yes. We implement RAG with permission‑aware retrieval so the bot only accesses what a user is allowed to see. Data stays encrypted in transit and at rest.

Which channels do you support?

Web chat, WhatsApp, Slack, MS Teams, and in‑product widgets. We also integrate with popular CRMs and helpdesks for agent handoff.

How accurate are the responses?

We use retrieval, evaluation datasets, and feedback loops to improve answer quality over time. Sources are cited for transparency.

Can the bot perform actions (not just answer)?

Yes—actions like creating tickets, updating CRM fields, sending emails, or generating reports are supported via secure API integrations.

Ready to explore your AI assistant?

Tell us your goals and systems—we’ll propose a quick, safe pilot.

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