Lyzr · Strategic Partnership
How advisory-intensive businesses are embedding operational intelligence into their consulting workflows — creating compounding advantages in client value, revenue growth, and competitive differentiation.
Section 01 · The Opportunity
World-class data assets, a clear advisory-first strategy, and a market where the rules of competition are being rewritten by technology. The question is how to accelerate.
The Radford McLagan Compensation Database — 30M+ employees, 8,500 organizations, 115 countries — and SkillsGraph's real-time skills taxonomy with native Workday integration. These are assets no competitor can replicate. The opportunity is to extend them from data products into operational and advisory intelligence.
Aon's strategic decision to focus on advisory over operational outsourcing sharpened the business around high-value consulting. That was the right call in a pre-AI world. Agentic AI now makes it possible to embed operational intelligence back into the advisory model — without the headcount, without the margin drag, without changing the strategic direction.
Aon's investment in technology — anchored by Aon Business Services, the 3×3 Plan, and purpose-built tools like Broker Copilot — demonstrates serious commitment to AI-led transformation. The opportunity in Human Capital is to bring the same level of AI-enabled delivery that Risk Capital is already experiencing.
Why now
2026 — final year of the 3×3 Plan
The next strategic cycle is being defined now. Proof points established this year shape the next three.
Health Solutions 5% → 4% · Wealth Solutions 8% → 1%
Human Capital organic growth trajectory over the past four quarters. Discretionary advisory demand softening in the U.S.
Mercer Career −2% · WTW Career −3%
HC advisory deceleration is a sector-wide pattern, not a single-firm issue. The firms that retool now will lead when the cycle turns.
Sources: Aon Q1'26 8-K, Marsh Q1'26 8-K, WTW Q1'26 8-K
The firms that will lead in Human Capital advisory are those that turn their proprietary data and operational workflows into a compounding intelligence advantage — where every client interaction makes the advisory product smarter.
Section 02 · The Pattern
Across our enterprise engagements, advisory businesses that embed structured operational intelligence into their consulting workflows create compounding advantages that are difficult to replicate.
Back-office workflows — billing, enrollment, member servicing, administration — are transformed from manual processes into structured, agentic workflows. Every transaction becomes a data point.
Structured data asset createdOperational data is combined with proprietary data assets to surface patterns invisible to manual analysis — exception trends, client behavior clusters, service quality signals.
Advisory preparation automatedConsultants shift from reactive, request-driven advisory to proactive intelligence — anticipating client needs, surfacing renewal risks, identifying cross-sell opportunities before the client asks.
Revenue streams unlockedThe intelligence loop compounds. More operational data feeds better advisory. Better advisory deepens client relationships. Deeper relationships generate more data. Competitors cannot replicate this without the same data foundation.
Competitive moat builtThis pattern matters now because the competitive landscape for Human Capital advisory is converging from three directions.
Traditional Peers
Mercer, WTW, Gallagher — accelerating AI in Human Capital
WTW launched AI Workforce Transformation. Mercer investing across Wealth and Career. The traditional set is not standing still.
Platform Players
Alight, Workday, Fidelity — moving upstream into advisory
Started in benefits administration and payroll. Now adding advisory-adjacent capabilities. Their trajectory points at territory Aon occupies.
New Entrants
Deel and others — scaling HC upward from payroll
Technology-native, 150+ countries, no legacy systems. Adding benefits, analytics, and AI advisory features. Under the radar today.
Advisory businesses that embed operational intelligence into their consulting workflows create advantages that compound over time. Three categories of competitor are converging on this opportunity. The firms that build the intelligence layer now will define the next era of Human Capital advisory.
Section 03 · The Two Engines
One drives client retention and operational quality — protecting existing revenue. The other drives advisory value and new services — creating new revenue. Together, they address both sides of the Human Capital business.
Protect existing revenue · Create the data foundation
The operational workflows that deliver Health and Wealth services — enrollment processing, member servicing, benefits billing, retirement administration — are intelligence sources, not cost centers.
Agentic AI transforms these into structured data streams. Every exception pattern, every query trend, every billing anomaly becomes a signal that powers advisory quality.
This is not rebuilding an outsourcing operation. It is embedding operational intelligence directly into the advisory model — the data layer that Broker Copilot created for Risk Capital, built for Human Capital.
Unlock new revenue · Re-accelerate growth
Aon's consultants have Radford McLagan (30M+ employees, 115 countries), SkillsGraph (real-time skills taxonomy), and decades of client relationships. The advisory process itself — preparation, insight generation, scenario modeling — has not been transformed.
An agentic advisory layer shifts delivery from periodic and reactive to continuous and proactive. Consultants arrive at every interaction with intelligence the client hasn't seen yet.
These are not internal productivity tools. They are proprietary advisory products — built on Aon's data, delivered on Lyzr's platform — that clients pay for as premium advisory services. Net-new revenue.
Engine One creates the structured operational data. Engine Two turns it into premium advisory products. The loop compounds with every engagement.
Two engines, one platform, both sides of the advisory P&L. The operational engine makes every HC workflow an intelligence source. The advisory engine makes every consultant a proactive strategist. Here's how both build — stage by stage.
Section 04 · Journey
Two parallel journeys through the same four stages. One is how you scale on the platform. The other is how the value proposition evolves — from operational efficiency to advisory intelligence to a self-sustaining revenue engine.
Deployment
Single workflow × Single solution line
Health Solutions · One operational workflow · Use case identification + first agent build, in parallel
Enabler Lyzr-led · Consulting + FDE from day one
Spotlight · Inbox-to-Resolution Triage — Instant acknowledgment, structured case data from day one.
Value at this stage
Operational Efficiency
The value story is cost and quality.
Deployment
Multiple workflows × Same solution line
Add enrollment processing, billing reconciliation, and member servicing agents within Health Solutions
Builds → Data coverage · Cross-workflow intelligence
Value at this stage
Structured Data Asset
The value shifts from saving time to creating intelligence that didn't exist before.
Deployment
Cross-solution-line deployment
Extend to Wealth Solutions — retirement admin, pension servicing. Advisory Intelligence agents come online using operational data from Stages 1–2
Builds → Portfolio-wide intelligence · Proactive advisory capability
Value at this stage
Revenue Protection + Creation
Engine 2 comes online. The value story shifts from cost savings to revenue.
Deployment
Full Human Capital Agentic Platform
Both engines operating across Health, Wealth, and Talent. Aon's HC professionals building and extending agents independently on the platform
Builds → Self-sustaining flywheel · Platform independence
Value at this stage
Compounding Revenue Engine
Proprietary advisory products become a permanent revenue channel. The platform runs independently.
Enablers Across the Journey
Consulting
Identifies strategic use cases (top-down) and analyzes Architect data to surface bottom-up patterns. Two discovery signals, one prioritization.
FDE
Builds agents on the platform — from first pilot agent in Stage 1 through complex multi-agent orchestration in Stages 2-3.
Training
Starts with Architect (low barrier, any business user). Progresses to full platform fluency for power users.
Lyzr's consulting team applies a structured scoring and prioritization framework to every engagement. Below are illustrative examples from existing enterprise deployments.
Operational impact, technical feasibility, and platform leverage — scored for prioritization.
Use cases mapped into a deployment sequence — Deploy Now, Invest & Build, Quick Wins, Investigate.
These frameworks are applied jointly with Aon leadership during the discovery sprint — scored with internal data to produce a prioritization specific to Aon's Human Capital solution lines.
From operational efficiency to structured intelligence to a self-sustaining revenue engine. The deployment journey makes Aon independent on the platform. The value journey transforms Human Capital from a cost-managed business into an intelligence-led growth engine.
Section 05 · Spotlight — Agentic OS
The CFO's Office AgenticOS — a live, production-grade application built on Lyzr's platform. The same architecture — journey-scoped agents, exception-based escalation, SLA tracking, approval gates — applies directly to Human Capital operational workflows.
A five-stage Monthly Financial Close pipeline — Pre-Close → Reconciliation → Journal Entries → Consolidation → Variance Analysis. Each stage tracks completion across 10 entities, surfaces blockers in real time, enforces dual-control approval gates, and provides an always-on AI assistant scoped to the specific journey.
The same architecture powers an enrollment pipeline: Application → Eligibility Check → Plan Assignment → Confirmation → Exception Review — with stage-level tracking, SLA monitoring, and human escalation at every gate.
Financial Reconciliation across 7 reconciliation types and 10 entities. Auto-match rate of 94.85% (4,105 of 4,328 items matched automatically). Exceptions broken down by category — timing differences (65%), missing entries (23%), custody fees (8%), genuine errors (4%). Pending actions prioritized by severity with one-click resolution. Calendar and SLA tracking with T+1 business day targets.
Benefits billing reconciliation — carrier invoices auto-matched against contract terms, exceptions categorized by type (billing errors, eligibility mismatches, rate discrepancies), critical items surfaced for human review. The same structured exception handling that powers Engine 1.
Accounts Payable processing 1,247 invoices per month. Invoice processing funnel from received → matched → approved → posted. Duplicate detection (3 potential duplicates, $8.4K exposure). Approval routing for invoices above threshold ($10K). Early payment discount identification ($2.1K savings on 8 invoices). Total outstanding, overdue, and savings visibility in real time.
Client invoice generation and reconciliation — the billing workflow Kate originally asked about. Contract data ingested, invoices generated and cross-checked, exceptions surfaced before reaching the client. Duplicate detection, approval routing, and cash flow visibility — applied to Health Solutions and Wealth Solutions billing operations.
Agent Metrics dashboard — 195 agent runs across 8 journeys in the last 7 days. 95.9% success rate. 88.7% autonomy (completed without human escalation). 29 human interventions (approvals and exceptions). 665 hours saved vs. pre-agent baseline. Per-journey autonomy breakdown and use-case performance matrix with drill-down into what worked, where it fell short, and root causes.
The same observability layer for Aon's Human Capital operations — enrollment agent success rates, member servicing autonomy, billing reconciliation accuracy, advisory brief generation quality. Full traceability for compliance and governance. This is what Kate's leadership team sees — not just that agents are running, but how well they're performing and where human judgment is still needed.
Journey-scoped agents
Each workflow has a dedicated AI assistant that understands the full context of that specific journey.
Exception-based escalation
Agents handle the routine; humans handle the exceptions. Severity-scored, not binary.
SLA tracking & calendars
Every workflow has time-based targets and real-time progress visibility.
Build tools included
Agent Studio, Skills Manager, Knowledge Base — your teams extend and build new journeys independently.
This is a production-grade platform, not a prototype. The same architecture — journey-scoped agents, exception-based escalation, SLA tracking, approval gates — applied to Health Solutions billing, enrollment, member servicing, and advisory preparation. The platform is ready. The question is which Human Capital journey to build first.
Section 06 · Architecture
Lyzr doesn't replace your existing technology investments — it unifies them. One control plane for agents built on any model, deployed inside your perimeter.
Aon Business Services already provides the operational backbone. Broker Copilot and Claims Copilot demonstrate production-grade AI in Risk Capital. Lyzr's platform extends this to Human Capital — providing the agent orchestration, governance, and multi-model control plane that connects to Aon's existing infrastructure.
Private deployment
Runs inside your VPC. Member and financial data never leaves your perimeter.
Model-agnostic
Route each task to the best-fit model. No vendor lock-in.
Guardrails & hallucination management
Outputs grounded in trusted data. Confidence scoring on every output.
Audit trails & governance
SSO, role-based access, and complete interaction logs. Built in.
Own your AI IP
Agents you build are your intellectual property.
200+ agent blueprints
Pre-built patterns. Start from a working reference, not a blank page.
Section 08 · Next Steps
Four concrete next steps to take this from conversation to POC.
Technical architecture session — Lyzr engineering walks through platform integration with Aon's technology team and ABS infrastructure.
Reference conversation — Connect with an existing Lyzr enterprise client to hear firsthand how the platform and partnership model deliver.
Use case prioritization workshop — Joint discovery sprint with HC leadership. Apply the scoring framework with internal data to identify the highest-impact starting point.
POC scoping — Define the solution line, workflow, data sources, success metrics, and 90-day timeline for Stage 1.
Aon built the world's most trusted Human Capital data assets. Lyzr builds the intelligence that turns those assets into a compounding advisory advantage no competitor can replicate.