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Leadership buried in reporting.

If your highest-paid people spend their week chasing numbers and building decks, you’re paying executive rates for analyst work. AI can give them back their time and focus.

In 2–3 weeks, you’ll see where reporting is draining leadership time and how to turn it into EBITDA.

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Hours spent assembling the picture, not acting on it.

What this looks like in your world

You’ve seen this movie:

  • +Sunday nights or early mornings spent in spreadsheets.
  • +Managers pulling numbers from five different systems to triangulate “truth.”
  • +Board and exec meetings that are 80% data review, 20% decision-making.

The patterns:

  • +Data lives in silos: CRM, billing, ops tools, support platforms.
  • +Every team has its own version of “the dashboard.”
  • +Nobody fully trusts any single report.

Your best people are stuck assembling the picture, not acting on it.

CRMBillingOpsSupport
Data in silos that nobody fully trusts.

Why the usual fixes don’t move EBITDA

  • Hire more analysts. Reporting gets marginally better. Costs go up. Leaders are still in the weeds.
  • Buy another BI tool.Expensive dashboards get rolled out. Adoption plateaus. Every meeting still starts with “hang on, let me pull my numbers.”
  • Ask for “better updates” from teams. You get more slides, more status meetings, and less time to think.

None of this changes the core issue: data is fragmented, and the effort to assemble it is manual and constant.

More analysts and dashboards don’t fix fragmentation.

Where AI actually increases EBITDA

To free leadership and increase EBITDA, AI needs to:

1

Automate the gathering and cleaning of data

Pull from multiple systems on a schedule. Normalize and reconcile so everyone is looking at one version of the truth.

2

Generate the story, not just the charts

Turn raw numbers into written summaries and callouts. Flag anomalies, trends, and outliers automatically.

3

Deliver insights in the flow of work

Push updates to Slack, Teams, or email. Make it easy to drill into issues without calling a meeting.

The payoff: fewer hours burned on “what happened?” and more hours on “what do we do about it?”

How the EBITDA Impact Map attacks “reporting drag”

In the EBITDA Impact Map, we:

  • +Identify which leaders and teams are spending the most time on reporting.
  • +Map the exact steps from data extraction to board deck.
  • +Quantify both the time cost and the decision-delay cost.

You walk away with:

  • +A clear picture of where reporting work is bloating SG&A.
  • +3–5 AI plays — automated data pipelines for core KPIs, AI-generated weekly business reviews, alerting for deviations that actually need leadership attention.
  • +EBITDA estimates tied to leadership hours won back, faster decisions, and potentially fewer analyst or middle-manager hires.
Weekly review
Many sources become one trusted weekly review.
Example — a typical system

AI-generated weekly business review

  • +Pulls data from your CRM, billing, and ops systems
  • +Assembles a single view of revenue, churn, pipeline, and fulfillment
  • +Writes a narrative: what changed, why it matters, what to watch

Instead of three managers spending half a day each, leadership gets the review in their inbox or Slack, ready to skim and act on. Less time in “what happened?” meetings, more time on moves that add EBITDA.

Start with the Map

If leadership is buried in reporting, start with the Map.

The EBITDA Impact Map shows where reporting is soaking up leadership time, what that’s costing you, and which AI systems can give it back.

Apply To Work With Us →

Five minutes to apply. If you’re a fit, you’ll book a call. If you’re not, we’ll tell you why — same day.