AI Agents Automating Calls, Collections & Workflows
Floatbot is a vertical AI agent platform built for regulated industries — insurance, banking, collections, lending, and healthcare. Pinnasys engineered the voice AI and multi-agent orchestration layer that turns high-volume contact centre operations into fully automated, compliance-first workflows.
$4M+
Payments collected in 12 months
80%
Call automation rate
The Problem
Regulated Industries Can't Afford Generic AI — And Can't Scale Without It
Contact centres in insurance, banking, and debt collections handle enormous call volumes — but in environments where compliance, accuracy, and right-party contact are non-negotiable. Generic chatbots fail here. They lack domain logic, can't navigate regulated workflows, and create liability the moment they deviate from script.
Floatbot was built to close this gap — deploying AI agents that understand the specific workflows of each vertical. The engineering challenge was building voice AI that sounds natural, handles objections, stays fully compliant, and integrates with the existing telephony and CRM stack — while scaling to millions of interactions without a proportional increase in headcount.
Our Approach
Vertical AI Agents Built for Compliance, Not Just Conversation
Pinnasys engineered the voice AI and orchestration core of Floatbot's agent platform. FloatGPT delivers sub-second latency voice interactions with natural speech, sentiment awareness, and seamless handoff to live agents — critical in collections and insurance where the tone of a call determines the outcome.
The multi-agent layer, Agent M, coordinates specialised AI workers across complex multi-step workflows — routing inbound calls, triggering payment collection sequences, managing FNOL submissions, and escalating edge cases without breaking compliance guardrails. RAG Cognitive Search keeps every agent response grounded in verified policy documents, pricing data, and regulatory guidelines — so agents never hallucinate in high-stakes conversations. Pre-built integrations with Genesys, RingCentral, Salesforce, and 15+ platforms let the full system go live without rebuilding the existing stack.
FloatGPT Voice AI
Sub-second latency voice interactions with natural-sounding speech, real-time sentiment analysis, and compliant scripting — handling inbound and outbound calls across collections, insurance, and banking at scale.
Agent M — Multi-Agent Orchestration
Coordinates specialised AI workers across complex multi-step workflows — routing, payment collection, FNOL automation, and loan servicing — with context continuity and built-in escalation paths.
RAG Cognitive Search
Every agent response is grounded in verified policy documents, regulatory guidelines, and product data — eliminating hallucination risk in compliance-sensitive conversations and keeping outputs fully traceable.
FloatSpace AI Workspace
Live agent assist layer that surfaces real-time guidance, document intelligence, and workflow automation for human agents — boosting efficiency by 25%+ while keeping them in control of complex or sensitive interactions.
The Platform in Action
Millions of Calls Automated. Millions in Revenue Recovered.
$4M+
Payments collected within the first 12 months of voice AI deployment at Tricolor Holdings
80%
Automation rate for inbound and outbound calls across collections and insurance verticals
970K+
Inbound calls handled in 15 months by the Floatbot Voice AI at Tutelary
75%+
Reduction in call costs across debt collections deployments
VP Operations, Capital Recovery Corporation — Floatbot Enterprise Client
What Building Floatbot Taught Us About AI in Regulated Industries
Compliance Is an Architecture Decision, Not a Feature
In collections and insurance, a single non-compliant utterance creates regulatory exposure. Building compliance guardrails into the agent architecture — not bolted on after — was the only approach that held up under real deployment conditions across HIPAA, FDCPA, and state-level requirements.
Voice Latency Is the Difference Between a Call and a Click
A voice agent with even 800ms of response delay sounds broken. Sub-second latency in FloatGPT was not a performance optimisation — it was the threshold below which the interaction reads as natural and above which customers hang up.
Integration Depth Determines Real-World Automation Rate
An AI agent that can have a conversation but can't update the CRM, trigger a payment, or log the call outcome delivers partial value. Pre-built integrations with the 15+ platforms already running in enterprise contact centres were the difference between a demo and a deployed product.
Building AI for a Contact Centre or Regulated Industry? Let's Talk
Pinnasys builds production-grade AI agent platforms for insurance, banking, collections, and healthcare — from voice AI and multi-agent orchestration to compliance-first workflow automation. Book a free consultation to scope what AI can do for your operations.