Finally, it’s possible to take greater control of your organization’s financial health, without relying on expensive third-party firms that charge hundreds of thousands of dollars for financial analysis projects that often fail to deliver.
I’ve seen companies spend over $250,000 just to find out what’s profitable and what’s not, only to learn that implementing the improvement strategy requires writing yet another large check.
As an IBM AI Partner, ACOMdev leverages advanced AI-driven analytics to perform deep financial health assessments at a fraction of that cost. Our AI tools can process and analyze thousands to millions of financial data points in just hours, something that was simply not possible for traditional finance teams in the past.
Our organization brings decades of experience to every engagement. Our CEO has over 30 years in the manufacturing industry, with a background spanning OEM, manufacturing, and healthcare, founded and sold three companies, and has managed domestic and global ERP implementations across the U.S. and Europe. Having “been there and done that, we understand firsthand the challenges of meeting payroll, managing dynamic businesses, and maintaining profitability.
As a Microsoft, Google, and IBM partner, we focus our solutions on practical applications of AI that deliver measurable business results.
Our Offer:
ACOMdev can provide a comprehensive financial analysis in a matter of weeks, at a fraction of traditional consulting costs. The potential return on this investment is enormous. Our engagement includes:
- Financial forecasting and performance modeling
- Profitability and statement analysis
- Budget and variance controls
- Risk management and mitigation recommendations.
We recommend a six-month engagement to validate and refine our recommendations through measurable results.
Finally, here’s an opportunity to gain major profitability insights from a minor investment and take full control of your organization’s financial future. Here is how a properly configured AI model can help.
- Financial forecasting: AI models can analyze a wide range of data, including social media, news, and historical market data, to identify emerging trends and predict future outcomes with greater precision.
- Statement analysis: AI can rapidly process and analyze financial statements to identify key trends and red flags and generate executive summaries.
- Risk management: AI-powered tools can evaluate risk factors across global markets and identify potential inconsistencies or fraudulent activity in data.
- Algorithmic trading: AI is used in trading platforms to analyze historical market data, predict price movements, and execute trades more efficiently.
- Budgeting and variance analysis: AI can help build budgeting templates and analyze actual performance against budget to identify the drivers of variance.
Benefits coming from using AI for this kind of analysis not only increases efficiency and accuracy, but the ability for deeper insights never before possible from intensive, deep learning of your organization financial history and current trends is an outstanding edge and benefit few companies, including your competitors, currently have. This data will give you insights never before possible and will help you improve decision making.
You can have your internal finance team provide the raw data or allow our team to dig in and obtain it. We will use our AI tools to dig in and craw through mountains of data. From there we will take our AI foundation model and ingest your data for the analysis and provide the kind of reporting you have never seen before. We can also pull in competition with publicly available information to give you various market comparisons.
Below is a summary of the information available from an ACOMdev AI deep dive analysis.
Product Evaluation:
Feature Comparison
- Create comparison tables (feature vs. competitor)
- Highlight differentiators and gaps.
- Identify where you may be over-engineering or underdelivering.
Customer Feedback Analysis
- We can summarize recurring complaints or requests.
- Classify feedback into actionable categories (quality, price, usability, etc.)
- Identify sentiment trends and priority improvement areas.
Market Positioning
- Evaluate perceived value vs. price.
- Suggest better positioning (premium, value-based, niche)
- Recommend pricing models (subscription, tiered, bundle)
Financial Analysis:
With deep access to your data: Excel, CSV, or ERP system, we can perform a detailed financial analysis like never before.
Profitability Analysis
- Revenue, cost, and margin by product or customer
- Fixed vs. variable expenses
- Calculate gross and net margins.
- Identify underperforming products/customers.
- Build break-even or ROI analyses.
- Simulate profit impact from pricing or cost changes.
Cash Flow and Budgeting
- Rolling cash flow projections
- Identify liquidity risks.
- Recommend budget allocations based on ROI or growth priority.
Scenario and Sensitivity Analysis
- For example, show how a 10% price increase or 5% cost reduction affects my net margin, over time and the total impact.
Profit Improvement Strategies
Revenue Growth
- Adjust pricing strategy (tiered, volume discounts, bundling)
- Identify cross-sell and upsell opportunities.
- Pinpoint top customers or product segments to expand.
Cost Optimization
- Benchmark operational costs vs. industry norms.
- Analyze vendor and procurement spend.
- Suggesting automation or outsourcing opportunities
Strategic Investments
- Recommend where to invest for highest ROI (marketing, R&D, tools)
- Evaluate the financial impact of technology modernization or process improvement.
Automation Possibilities
Automatically analyze monthly financial reports- Generate dashboards or executive summaries.
- Provide profit/loss variance explanations.
- Alert you to margin erosion or cost anomalies.
- Valid that our recommendations help you meet your goals.
How to get started
To get started we need access to your data. We can collect this data or your financial department can. We will need the following:
Profit & Cost Analysist we need the following data, in Excel or CSV format:
Your Input:
Date of transaction, go back as far as possible, the more data the betterProduct or Service part number
Revenue
Direct Cost
Indirect Cost
Units Sold
Customer (optional)
Our Output:
Gross and net profits by product or ServiceMargin Percentage and trend analysis
Contribution by customer or segment
Cost structure (fixed vs. variable)
Provide a Product Overview or Catalog. As a Word or PDF document provide the below information:
Your Input:
Describe the product.Target customer segment
Current pricing model (fixed, hourly, subscription, etc.)
Key differentiators or pain points
Our Output:
We will evaluate strengths and weaknesses.Competitive positioning
Pricing strategy alignment
For a deeper analysis, provide the following:
Your Input:
Customer satisfaction surveysMarket spends per product line.
Industry benchmarks (if available)
Our Output:
ROI AnalysisMarket efficiency evaluation
Comparison to industry norms
Business Goals, please provide current priorities:
Your Input: provide scenarios you are interested in such as:
“Increase overall profit by 10% in the next 6 months.”“Identify low margin products.”
“Shift from one-time projects to recurring revenue.”
Our Output:
RecommendationsForecasts
Strategic Actions
We are looking forward to engaging with you and helping improve profits. Get ready for a level of reporting rarely seen from traditional financial and product analysis.
