Resolves. Not just deflects.
Palladium AI is the compliance-first AI concierge that carries regulated customer journeys all the way to done — disputes, claims, onboarding, payments, servicing — across every channel, with a replayable audit trail behind every decision. Your customers get white-glove resolution. Your examiners get the full record.
60–85% autonomous resolution. First workflow live in weeks — built for banks, credit unions, insurers, and wealth managers.
In one paragraph
Palladium AI is a compliance-first AI concierge — an agentic AI platform, built by Sphere Inc., that resolves regulated customer journeys end-to-end for banks, credit unions, insurers, and wealth managers. A supervising orchestrator routes each request to specialist agents for identity, disputes, claims, payments, lending, wealth, and fraud, which verify identity, apply policy, execute the action in your core banking or claims system, notify the customer, and seal a replayable audit trail. It targets 60–85% autonomous resolution across voice, chat, SMS, WhatsApp, email, and in-app channels, with warm human handoff — full context included — above configured risk thresholds. A first production workflow typically reaches customers in weeks, using pre-built connectors to core banking, policy administration, claims, and CRM systems.
Chapter01
Deflection was the old contract
For a decade, “AI in customer service” meant containment: keep the customer away from a human, count it as a win, and let the actual problem — the disputed charge, the stalled claim, the half-finished application — wait in a queue anyway. The metric looked good. The customer’s problem was still unsolved, and your compliance team still couldn’t tell an examiner exactly what the bot said or why.
Palladium AI inverts the contract. A fleet of specialist agents — identity, disputes, claims, payments, lending, wealth, fraud — coordinated by a supervising orchestrator, executes the whole journey: verify identity, check eligibility, apply your policy, take the action in your core systems, notify the customer, and seal the record. When a journey exceeds its risk threshold, a human takes over warm, with the complete context package, not a transcript dump.
Your customers never signed up for containment. They signed up for resolution.
And because Palladium was built compliance-first rather than compliance-retrofitted, every prompt, tool call, decision, and reasoning step is timestamped, replayable, and exportable. The audit trail isn’t a feature we added. It’s the foundation everything else stands on — see how we draw the line between logging and true auditable AI, and why the annual audit binder is already dead.
60–85%
of routine and semi-complex volume resolved autonomously
7/7
steps in a typical dispute resolution, fully logged and replayable
0
regulators who accept “the bot said something, we’re not sure what” as an answer
Chapter02
The false choice
Most institutions believe they have three options for scaling servicing. All three lose.
Contain with a chatbot
Deploy a scripted assistant that answers FAQs and hands off anything real. Containment metrics improve; the actual dispute, claim, or application still waits in a queue.
Cost: the queue stays. The customer notices.
Scale the queue with people
Hire and train more agents to keep pace with volume. Headcount scales linearly with demand, and every seasonal spike, product launch, or fraud wave means the same fire drill again.
Cost: linear headcount, flat margin.
Automate without an audit trail
Stand up generic workflow automation or an off-the-shelf LLM wrapper. It moves fast until an examiner asks exactly what the AI decided and why — and there’s no record to show them.
Cost: one exam, zero good answers.
Chapter03
What it resolves
The journeys that actually cost you money, handled end-to-end — not deflected, not queued.
Disputes & chargebacks
Reg E-aware intake, eligibility, provisional credit, and network filing — with dollar-threshold guardrails on every action.
Claims FNOL
First notice of loss captured with empathy at 2 a.m., documents extracted, coverage checked, adjuster packaged and briefed. See how agentic AI is already transforming claims management.
KYC & account opening
Identity verification, document collection, and funding orchestrated to completion instead of abandoned at step four.
Payments & transfers
Status, stops, recalls, and exceptions executed against payment rails with granular permissioning — the same pattern behind our payment reconciliation agent architecture on AWS.
Loan & policy servicing
Payoff quotes, beneficiary changes, endorsements, escrow questions — the long tail that fills your queues.
Fraud alerts & collections
Outbound verification and hardship conversations handled at scale, inside your risk appetite, on the record — built on the same fraud-detection risk analytics we deployed for a major bank.
Chapter04
One orchestrator. A fleet of specialists.
Agentic AI, properly orchestrated: every channel routes through one supervisor, into specialist agents, into your systems of record — with one shared memory across all three. This is the same maturity curve we map in Enterprise AI Agents in 2026: The Maturity Map, and the retrieval layer underneath each specialist agent follows the pattern in Agentic RAG: When Standard Retrieval Isn’t Enough.
Channels
Orchestration
Specialist agents
Your systems
Every guardrail in this diagram runs without adding round-trip time — see how we keep guardrails from costing you latency.
Chapter05
Built for the person who can say no
Compliance-first, not compliance-retrofitted.
Every AI vendor demos to the CX team. Palladium demos to your compliance leader first — because if the audit trail, the guardrails, and the escalation model don’t survive that meeting, nothing else matters. Walk into your next exam with the complete, replayable record of every automated decision your institution has made — the same standard we lay out in Governed AI for Banks: Chat, Retrieval, and Audit Inside the Perimeter and AI for Insurers That Underwriting and Compliance Both Trust.
Deployed multi-tenant with hard isolation, or fully private in your VPC with private LLM options. No training on your customer data, by default and by contract. If you need the deployment specifics, read our complete guide to private LLM deployment for banks and financial institutions, and how the requirements differ across regimes in AI in Financial Services: What FINRA, MiFID II, DORA, and the EU AI Act Require.
Replayable audit trailevery interaction
Every prompt, tool call, decision, and reasoning step — timestamped, sealed, exportable for examiners and internal audit. Background: AI Audit Logs as Compliance Evidence.
Deterministic guardrailsdollar & risk thresholds
Hard limits enforced in code, not prompts. Natural-language policy enforcement layered on top, never instead.
Human-in-the-loopwarm handoff
Escalation with the full context package — identity state, journey progress, and everything already verified.
Coach / QA agent100% review
Every interaction reviewed, root causes surfaced, policy and workflow improvements suggested continuously — the difference between logging and actually auditable AI.
Jurisdiction-aware controlsresidency & consent
Role-based access, PII redaction, data residency, and consent management tuned to where you operate, mapped against the EU AI Act risk classification where it applies.
Chapter06
What ships on day one
Palladium AI is the agentic platform your team would have built with 21 years and 300 enterprise deployments behind them — delivered in weeks, governed by you.
Multi-agent orchestration
A supervising orchestrator routes, coordinates, and escalates across specialist agents — identity, disputes, claims, payments, lending, wealth, fraud. See how to evaluate AI agents in 2026 before you commit to one.
Omnichannel by default
Voice, chat, SMS, WhatsApp, RCS, email, and in-app — one memory, one journey, no re-verifying the same customer twice.
Deterministic guardrails
Dollar and risk thresholds enforced in code. Natural-language policy enforcement layered on top, never instead of it — the same principle behind why deterministic control beats autonomous AI in underwriting.
Replayable audit trail
Every prompt, tool call, decision, and reasoning step — timestamped, sealed, exportable for examiners on demand, following the model in Signed Decision Receipts.
Pre-built system connectors
Core banking, policy administration, claims platforms, CRM, ticketing, and payment rails — bi-directional, permissioned per action.
Warm human handoff
Escalations carry the full context package — identity state, journey progress, everything already verified — never a transcript dump.
Coach / QA agent
100% of interactions reviewed continuously, with root causes surfaced and policy or workflow improvements suggested.
Private, model-agnostic core
Multi-tenant with hard isolation or fully private in your VPC. No training on your customer data, by default and by contract — built on the same enterprise RAG architecture underneath our knowledge-grounded agents.
Operational leverage you can defend to a CFO — and an examiner.
Chapter07
We’ve mapped these requirements before you asked
These are the questions compliance and procurement teams put in front of us — verbatim — and how Palladium answers each one. Tap to expand.
Evaluation-ready, before the RFP goes out
Generalized from real financial-institution AI procurement reviews — the exact requirements regulated buyers use to separate real vendors from decks.
Comparing vendors? 8 questions every compliance and IT leader must ask before choosing an enterprise AI platform — and where AI governance and AI compliance actually differ.
Chapter08
Sandbox to production in weeks
Not quarters. A disciplined path from decision to a live, audited workflow.
1
Readiness Diagnostic
Weeks 1–2. Fixed-price assessment of your top ten journeys: automation potential, compliance requirements, and a phased deployment plan you own either way.
2
Phase 1 — first journeys live
Weeks 3–12. One journey family in production with the full audit trail, core connectors, agent assist for your team, and adversarial testing before a single customer touches it.
3
Scale the fleet
Quarter 2+. Additional journey packs — retail banking, P&C, life & health, wealth, specialty lending — plus proactive, life-event orchestration.
Start with the Concierge Readiness Diagnostic
A focused two-week engagement, scoped to your institution: your top ten journeys mapped to automation potential, compliance requirements, and honest economics against your real baseline. You keep the plan either way.
Fixed fee · two weeksFully credited toward implementation
Talk to us about the DiagnosticCurious what’s underneath the connectors? Read Building an AI Agent Knowledge Base: A Step-by-Step Guide and Institutional Memory AI for Financial Services.
Chapter09
Trust is earned in production
Sphere has spent 21 years shipping systems that regulated enterprises bet their operations on. Palladium stands on that record.
300+
client organizations
28
countries served
$2B+
revenue impacted
NPS 75
client satisfaction
Banking · Disputes
7.2s
average resolution time for a fully autonomous Reg E dispute, from intake to sealed audit record.
Financial services · RAG
6h → sec
Complex cross-border tax research that took specialists six hours, answered in seconds by a private retrieval system — read the full tax & compliance RAG case study.
Open banking · Due diligence
15+
security and compliance domains reviewed in 3 weeks for a regulated open-banking acquisition — see Marble Financial & Inverite.
More proof: Fraud-Detection Risk Analytics for a Major Bank (20% accuracy lift) · OppLoans — Loan-App Conversion Lift · Marble Financial & Inverite — Open-Banking Due Diligence
Questions Your Evaluation Committee Will Ask
What is an AI concierge, and how is it different from a bank chatbot?
An AI concierge resolves journeys end-to-end — verifying identity, executing actions in your core systems, and closing the loop — rather than deflecting customers to articles or queues. The difference shows up in the metric: chatbots report containment; Palladium reports resolution rate and cost-per-resolution against your human baseline.
How does Palladium AI hold up in a regulatory exam?
Every prompt, tool call, decision, and reasoning step is timestamped, replayable, and exportable. Deterministic guardrails enforce dollar and risk thresholds in code, escalations carry full context to a human, and a Coach/QA agent reviews 100% of interactions. You can hand an examiner the complete trace of any interaction, on demand.
What resolution rate can we expect from agentic AI?
Palladium AI targets 60–85% autonomous resolution of routine and semi-complex volume across voice, chat, SMS, WhatsApp, email, and in-app channels, with warm human handoff for everything above your configured risk threshold.
Which systems does it connect to?
Pre-built, bi-directional connectors for core banking, policy administration, claims platforms, CRM (including Salesforce), ticketing (Zendesk, ServiceNow), payment rails, identity providers, and document systems — with granular tool-calling permissions on every action.
Is our customer data used to train models?
No — not by default, and not by contract. Palladium supports private LLM options and VPC deployment, with data residency controls, PII redaction, and consent management for institutions with sovereignty requirements.
How fast can we be live?
A first production workflow typically ships in weeks. Engagements start with a two-week Concierge Readiness Diagnostic that maps your journeys and produces the deployment plan — connect with us to scope it for your institution.
See Palladium resolve a journey. Then map your own.
Get a live demo — a real dispute, claim, or onboarding journey resolved end-to-end, with the full audit trail replayed on screen. From there, the Concierge Readiness Diagnostic maps your top ten customer journeys to automation potential, compliance requirements, and honest economics against your real baseline. You keep the plan either way.
Not ready to talk? See how the Readiness Diagnostic is scoped — no commitment, no sales pressure.
Talk to a solutions architect
Direct to a senior architect — never a sales queue. Replies within one business day.
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