You see the broken processes every day. Manual workarounds that waste hours. Exception queues that bottleneck month-end close. "Swivel chair" integrations where your team exports from one system, patches data in Excel, and uploads it somewhere else.
You know AI could solve these problems. But when you sit down to propose something, the questions multiply: Where do you start? How do you scope it? What's the business case? How do you get executive approval?
The Finance Manager's AI Implementation Toolkit has everything you need, based on our experience helping dozens of finance teams identify, scope, and win approval for AI automation projects.
Unlike traditional enterprise software projects that require months of planning and system overhauls, AI projects can deliver results in weeks through surgical interventions in existing processes. This toolkit shows you exactly how — complete with ready-to-use templates that turn broken processes into funded solutions.
Read on for a preview, or download the complete toolkit now.
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Chapter 1: The 5-Step Framework for AI Implementation
You need to start with a mindset shift — because you can't treat AI like a traditional enterprise project.
Here's how traditional and AI projects are different
| Traditional Projects | AI Projects |
|---|---|
| Months of planning and requirements gathering | Iterative, with rapid testing and refinement |
| Change management across departments | Surgical interventions in specific workflows |
| System overhauls that touch everything | Additive automation alongside current systems |
| Big-bang go-lives after massive investment | Pilot-and-expand, with results in weeks |
For example, a manufacturing company processing over a million invoices annually achieved only 30% straight-through processing, despite investing in OCR and validation pipelines. About 10% of invoices were flagged for missing or improperly formatted data.
Rather than spending weeks on requirements and scoping, they ran a two-week experiment where an AI agent extracted and formatted the problematic data fields, then fed the results back into their existing pipeline. The agent took two hours to build and two days to integrate, and every output was validated as accurate — turning a multi-month project into a two-week successful proof of concept.
This shift changes how you identify, scope, and win approval for AI automation projects. Instead, you can target a specific pain point and see results in weeks.
You don't need to replace entire systems either, because automation slots into the processes you already run.
The 5-Step framework: From problem to approval
The traditional enterprise playbook doesn't work for AI. You need a framework built for how AI actually delivers value: start small, iterate quickly, expand on proof.
Here's the process:
Identify → Scope → Design → Justify → Approve
This framework helps finance managers handle three realities:
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Executive expectations. Leaders want AI but don't know how to evaluate it.
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Risk management. Finance needs confidence in outcomes before committing resources.
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Implementation reality. IT needs clear technical requirements tied to business goals.
This playbook gives you the framework to identify, scope, and win approval for AI projects. To make it easier to act on, we've also created a companion toolkit with ready-to-use templates for each step.
As you move through the framework, you'll see where a template fits, and at the end, you can download the full package to put everything into practice immediately.
Now it's time to get practical. Step 1 starts with spotting the bottlenecks where AI can make an immediate impact…
Download the Implementation Guide to Get Started
Get the complete step-by-step framework and ready-to-use templates for your first AI project.
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What You'll Get in The Complete Implementation Guide
A step-by-step framework for taking an AI project from initial problem identification through executive approval and implementation. Written specifically for finance managers at Fortune 500+ enterprises where accuracy, compliance, and auditability are non-negotiable.
Identify High-Impact Opportunities: Learn to spot processes where AI delivers the fastest ROI. Discover the "swivel-chairing" pattern that signals automation opportunities and use our scoring framework to prioritize which process to tackle first.
Scope for Quick Wins: Master the surgical approach that delivers results in weeks, not months. See how to phase implementation so each stage proves value before expanding scope.
Design Business Requirements: Translate your business rules into AI specifications that IT teams can implement. Learn the critical difference between traditional software requirements and AI system requirements.
Build Your Business Case: Calculate ROI using finance-specific metrics that resonate with leadership. See a complete worked example with current state analysis, future state projections, and risk-adjusted financial impact.
Win Executive Approval: Get the exact presentation structure that positions AI projects as low-risk pilots with clear expansion potential. Learn how to address common objections and demonstrate measurable outcomes.
Execute Your 90-Day Pilot: Follow a proven implementation roadmap with specific checkpoints, success metrics, and governance structures that keep projects on track.
Four Ready-to-Use Templates
Every template is designed to accelerate your project while maintaining the rigor finance leaders expect:
Opportunity Assessment Worksheet - Score and prioritize AI automation candidates using impact and feasibility criteria. Includes diagnostic questions and a prioritization matrix.
Project Scope Template - Define clear boundaries and success criteria for your pilot. One-page format keeps stakeholders aligned on what's in scope and what comes next.
Business Requirements Document - Translate business logic into technical specifications for IT collaboration. Covers system architecture, integration points, and human interaction protocols.
ROI Calculator - Model financial impact using spreadsheet formulas customized for common finance automation scenarios. Includes sensitivity analysis for conservative estimates.
Start Your First AI Project This Month
The difference between thinking about AI and implementing AI is taking the first concrete step. This toolkit gives you everything you need to identify your highest-impact opportunity, build a compelling business case, and get executive approval.
Download the complete toolkit and start turning your daily frustrations into funded solutions.
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The Finance Manager's AI Implementation Toolkit includes the full implementation guide (PDF) plus four editable templates, delivered instantly to your inbox.
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