AI Chatbots & Virtual Assistants
Builds conversational assistants for customer support internal help desks and sales enablement that answer accurately from your content and hand off to a human when they should.
Everything included under this practice line.
Intent and conversation design covering happy path edge cases and escalation triggers
Knowledge grounding against product docs help center and policy content so answers cite source
Channel integration across web chat Slack Microsoft Teams WhatsApp SMS and voice
Personalization using authenticated user context account history and entitlements
Live agent handoff with full conversation transcript and structured summary for the human picking it up
Analytics on containment rate deflection unresolved intents and CSAT tied to bot responses
Multilingual support and tone tuning per brand voice with review workflows for content owners
The stack we reach for.
What the business gets, measured.
- Higher self-service containment on repetitive support questions
- Reduced average handle time for human agents through better routing and pre-summarized context
- Consistent answers that follow current policy instead of tribal knowledge
- After-hours coverage without adding shift headcount
- Structured data on what customers actually ask feeding product and content decisions
The specialists behind this practice line.
Conversation designers and CX specialists shape the dialog flows and escalation rules working alongside NLP engineers who tune the model grounding and intent handling. Support operations leads validate the handoff experience before rollout to live queues.
Compose several capabilities into one engagement.
Generative AI Solutions
We build production GenAI features on top of Claude GPT-4 and open-weight models. Text image and code generation wired into your product with proper eval loops and cost controls.
AI Agents & Workflow Automation
Multi-step agents that call tools hit your APIs and finish real work. Built with LangGraph or Anthropic's agent SDK with human-in-the-loop checkpoints where the blast radius is real.
LLM Integration
We wire LLMs into existing apps behind a stable API. Provider routing across Anthropic OpenAI Bedrock and self-hosted models so you can swap without rewriting callers.
Retrieval-Augmented Generation (RAG)
RAG pipelines over your PDFs wikis and databases. Chunking hybrid search and reranking tuned on your actual queries not a demo dataset.
MLOps
The plumbing that keeps models alive in production. Training pipelines model registries feature stores and monitoring for drift and quality regressions on real traffic.
Intelligent Automation
Replacing rules-based RPA and manual ops work with LLM-driven document parsing classification and routing. We measure the human hours actually saved not the demos.
AI-Powered Business Applications
Full applications where AI is the core feature not a sidebar. Copilots for sales ops finance and legal built on your data with role-based access and audit trails.
Let's talk
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