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Executive Assistant

Managing expense reports and budget tracking

Automates✓ Available Now

What You Do Today

Process your executive's expenses, track departmental budgets, manage corporate card reconciliation, and ensure everything is compliant and audit-ready.

AI That Applies

AI auto-categorizes expenses from receipts, flags policy exceptions, reconciles corporate cards, and generates spending reports against budget.

Technologies

How It Works

The system pulls financial data from operational systems — transactions, forecasts, actuals, and variance history. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — spending reports against budget — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

Expense processing is largely automated. AI reads receipts and categorizes expenses, cutting processing time dramatically.

What Stays

Ensuring accuracy, handling the edge cases, and managing the budget in a way that reflects your executive's priorities.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for managing expense reports and budget tracking, understand your current state.

Map your current process: Document how managing expense reports and budget tracking works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Ensuring accuracy, handling the edge cases, and managing the budget in a way that reflects your executive's priorities. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Concur tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long managing expense reports and budget tracking takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your board chair or lead independent director

Which of our current reports are manually assembled, and how much time does that take each cycle?

They shape expectations for how AI appears in governance

your CTO or CIO

What questions do stakeholders actually ask that our current reporting doesn't answer?

They own the technology infrastructure that enables AI adoption

a peer executive at a company further along on AI adoption

Where are we spending the most time on manual budget reconciliation or variance analysis?

Their lessons learned are worth more than any consultant's framework

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.