From AI ambition to a practical plan

The starting point

The company operates four brands with roughly 160 employees across touring, concert promotion, and ticketing. Its teams handle booking, marketing, finance, and operations across multiple systems.

Leadership saw the potential of AI. The challenge was turning that interest into specific improvements across a complex business.

What we did

We started by learning how the company works.

Over 30 days, we interviewed 15 people across three divisions, spending more than 50 hours examining workflows, systems, and the tasks consuming employees’ time.

The assessment identified 57 opportunities to reduce manual work, improve access to information, and help teams make better decisions.

We ranked them by business impact, time to value, and implementation difficulty, considering the systems and data each solution would need. That helped us identify where meaningful improvements could happen quickly and which opportunities required more groundwork.

Several finance workflows rose to the top: repetitive, time-consuming tasks with clear inputs and measurable benefits. We also identified early opportunities across booking, ticketing, marketing, and operations.

We organized implementation into two phases:

• Phase one: The private AI Studio platform and eleven builds addressing 14 opportunities, combining high-priority improvements, quick wins, and shared capabilities that supported multiple workflows.
• Phase two: A defined scope for the remaining 43 opportunities, building on that foundation.

Advertising management, inside the Studio

The company advertises across multiple brands and divisions, with approximately $750,000 a month in Meta spend alone.

We integrated Ads Arsenal, Battle Bridge’s standalone advertising management platform for Google, Meta, and TikTok. It monitors campaign performance, identifies issues and opportunities, and makes campaign changes under the team’s approval rules.

Connected to the AI Studio through a custom API, it gives executives a simpler way to ask:

Marketing teams can run reports, review recommendations, and approve campaign changes from the same workspace they use for other business information.

Ads Arsenal is a separate paid product that can be used on its own. The Studio integration brings its advertising capabilities into the company’s broader workflow.

What the assessment uncovered

The opportunities came from everyday work employees described:

• Invoice processing: Two temporary staff members manually coding invoices, representing approximately $170,000–$185,000 in annual staffing costs.
• Weekly finance reporting: Five to seven hours spent rebuilding subsidiary settlements every Monday.
• Show settlements: Approximately 950 settlements assembled manually each year.
• Booking offers: About 20 minutes of preparation per offer, with the business planning to grow from 400 to 550 offers annually.

Across the full implementation, the financial model estimates $400,000–$600,000 in annual operating savings at maturity, before approximately $120,000 in annual running costs.

The potential extends beyond savings. Less administrative work gives employees more time to book shows, improve campaigns, and support growth.

The model separately illustrates approximately $5 million in additional annual profit if net margin improves by 1.5 percentage points. That is potential upside, rather than a measured result or guaranteed return.

What this could look like for your business

You do not need to know what to build before starting an assessment. That is what the assessment helps determine.

You come away with:

• Specific opportunities across your teams and systems.
• Estimated time savings and financial value, with supporting assumptions.
• Priorities and a recommended implementation sequence.
• A proposal defining the scope, cost, and timeline.

For this client, the right solution was a private AI platform. Your assessment may point to a different approach.