All work

Enterprise AI Copilot · Agentic Workflows

Finn — the employee copilot that actually does the work

WEXLead PM, GenAI2024–25

Most assistants answer questions; Finn finishes the job. It's the smartest coworker on the team — available 24×7, it understands you, your workflows, and your team's knowledge graph, and completes real work across core systems with a human in the loop on anything sensitive.

Finn
Employee copilot · online
24×7
Book me PTO next Friday and send it to my manager for approval.
Done. I've drafted your time-off request and routed it to your manager. You have 14 days of PTO remaining — here's the request that's now pending approval:
Pending Approval · Request Time Off
Requested by
Jordan Rivera
Type
PTO · Planned
Date
Fri, Jun 19, 2026
Hours
8.0 hours
From request to action to a governed, human-approved write — in one turn.
Role
Product Lead & Strategist
Organization
WEX
Status
In GA · 2+ years
Impact
~$2M / yr in productivity
Availability
24×7 · human-approved actions
Most recent
Migrated to AWS managed agents

The problem

10,000+ hours lost to work no one should have to do

Employees were spending 10,000+ hours on trivial, repetitive tasks — requesting PTO, filing access tickets, chasing routine approvals. Zoom out and the same pattern repeats across the enterprise: manual workflows, everywhere, quietly taxing every team.

  • Cognitive load and constant context-switching across a dozen disconnected systems.
  • Slower approvals as routine requests sat waiting in queues.
  • Fragmented knowledge islands — the answer existed, but no one knew where to find it.
  • New employees hesitated to interrupt a peer for every small question or workflow.

None of it showed up cleanly on a P&L — which is exactly why it had been allowed to persist.

The idea

Finn is like your smartest coworker — available 24×7.

It understands you

Your role, your context, and your history — so the help is personal, not generic.

It knows your workflows

And runs them end-to-end — submitting, routing, and tracking — instead of just describing the steps.

It taps your team's knowledge graph

The policies, docs, and systems that usually live in one person's head, available to everyone, instantly.

What I did

I led Finn from a blank-page discovery to a production copilot that completes real work across WEX's core systems.

Today Finn has been in general availability for over two years, handling real workflows for employees across the company — Workday approvals and PTO, Jira and access requests, expense, and knowledge retrieval — with a human approving anything sensitive.

Most recently, I led the migration to a managed agent runtime on AWS to extend the copilot's scalability and give it a more robust foundation for the next wave of agents.

I was the product lead and strategist, partnering closely with my tech lead and design team the whole way — from discovery through a rapid, tight iteration cycle.

How it connects

One copilot, wired into the systems where work actually happens

Finn's value comes from reach. It completes tasks by acting across the enterprise's real systems of record — not by handing back a link.

Workday

HR approvals, PTO & time off

Atlassian / Jira

Tickets & service management

Jira Forms

Structured service-management intake

Snowflake

Analytics & enterprise data

Salesforce

CRM & customer context

Dovetail

Research & product insights

SharePoint

Policy source of truth

Agents via A2A

Agent-to-agent collaboration

Impact

Real work, finished

$2M+
in annual productivity impact
10K+
hours of trivial work targeted for automation
24×7
availability with human approval on sensitive actions
2+ yrs
in general availability across the company

Stack

AWS managed agentsGoogle Vertex AIGuardrailsPolicy layersMCPAgent-to-Agent (A2A)

Happy to walk through the real specifics, the agent architecture, and my specific role in a conversation.

Get in touch