A managed IT services provider in business for 35 years needed to see its cash 13 weeks ahead before it committed to new hires, an office move and a pricing change. We built the forecast, the collections model and the weekly reporting that made those decisions safe, and we did it in eight weeks.
AIM (AIManagement Inc.) served as fractional Director of Finance for a managed IT services provider with about 50 people across eight offices in the US, UK and UAE. Its clients are hedge funds, private equity firms and banks, and roughly 70% of its revenue is recurring managed services. It carries no debt and was planning to grow headcount by a quarter.
Finance ran on cash basis tracking spread across QuickBooks, a PSA billing platform and spreadsheets, with an accounting team in India and legal entities in three countries. Leadership could see the bank balance but not next quarter. Receivables were aging, margins needed work, and the board wanted reporting the team had no way to produce.
The engagement ran eight weeks with 85 defined deliverables. Week one was data gathering, weeks two and three put the core systems in place, and the rest went to optimization and year end preparation.
AI and Python did the heavy lifting on building and maintaining the model. Every number that reached the board was checked against the ledger by a person first. We do not present an AI generated figure as fact, ever.
| Metric | Target set at kickoff |
|---|---|
| Forecast variance | Under 5% |
| Days sales outstanding | 30 to 35 days |
| Weekly reports delivered on time | 100% |
| Contracts reviewed | 10 or more |
| Cost saving opportunities identified | 2 or more |
| Executive satisfaction | 4 out of 5 or higher |
Recurring revenue hides cash risk. Monthly billing feels stable while collections lag and labor costs creep. A forecast that models collections the way they really happen (4.33 weeks a month, with receipts peaking in weeks four to nine) turns that lag into a number you can manage.
A week by week view of expected receipts, payments and ending cash for the next quarter, refreshed every week. Lenders, boards and turnaround advisors all rely on it.
Yes. This engagement ran with an accounting team in India and managers in the US, UK and UAE.
Eight weeks in this case: data gathering in week one, core systems in weeks two and three, optimization and year end preparation after that.
Related: Finance Transformation · Executive Dashboards · An agentic AI finance system for confidential client financials. See the rest of the work on the case studies index.
Bring one workflow, its owner, and what an incorrect result would cost. That is enough to scope the first engagement.