Conversational & Voice AI
Chat and voice systems grounded in your data, with guardrails and human escalation: a financial chatbot across 4 agent frameworks at a wealth-management fintech, 20 medical AI agents at a clinical-intelligence company, production voice pipelines in our ad-production platform.
- PRACTICE NO.
- 03
- PRINCIPALS
- NB · PA
- CASES ON FILE
- 00
- FIELD
- CONVERSATIONAL AI · HEALTHCARE OPERATIONS · FINANCIAL SERVICES · PROFESSIONAL SERVICES
PROBLEM SPACE
Assistants, copilots, and voice interfaces your customers and teams actually use.
Chat and voice systems grounded in your data, with guardrails and human escalation: a financial chatbot across 4 agent frameworks at a wealth-management fintech, 20 medical AI agents at a clinical-intelligence company, production voice pipelines in our ad-production platform.
WHAT WE DELIVER
- 2.1customer-facing assistants
- 2.2internal copilots
- 2.3voice synthesis pipelines (ElevenLabs)
- 2.4RAG-grounded answers
- 2.5guardrails + human escalation
HOW IT SHIPS
Systems in this practice run as a loop, not a launch. Inputs are respondd, routine outcomes execute automatically, and anything consequential holds at a review gate where a named person clears it with context attached. Every decision (human or automatic) lands in the audit trail.
PROOF
NO PUBLIC CASE FILE · FIGURES SOURCED FROM ENGAGEMENT RECORDS
SELECTED PROJECTS · CLIENTS ANONYMIZED
WHO BUILDS IT
ADJACENT
Asked about this practice
Questions we get.
The same answers we give on a first call about this practice.
FAQ-01How do you keep an assistant from making things up?
We ground answers in your data with RAG and put hard guardrails on what the system may say. When a question falls outside its boundary, it escalates to a human instead of guessing. We designed exactly this for 20 medical AI agents in production at a clinical-intelligence company.
FAQ-02Can you handle voice, not just chat?
Yes. We build production voice pipelines, including voice synthesis with ElevenLabs, alongside text assistants and internal copilots. The same grounding and escalation rules apply whether the interface is typed or spoken.
FAQ-03Our domain is regulated. Is that a problem?
It is the normal case for us. We built a customer-facing financial chatbot orchestrating 4 agent frameworks under one set of guardrails at a wealth-management fintech. In regulated work we design the escalation path first, so the human handoff is a feature, not an afterthought.
Tell us the use case. One call is enough to scope whether there is a fit, and what it takes to ship.
Start a brief