How Kit Cut Quarterly Reporting Time 75%

Kit's growth team was stuck experimenting with AI at the surface. A six-week enablement sprint turned quarterly reporting into a one-click process — 75% less time and 512+ hours reclaimed.

75%

Cut quarterly reporting time

4–8 weeks

Implementation Time

Jay Singh

CEO & Founder

Casper Studios

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The Challenge

Kit's growth team had stalled at surface-level AI experimentation. Larger initiatives were hard to break into practical automations, there was no clear structure or ownership, and AI risked feeling like extra work rather than leverage.

What They Built

Casper ran a six-week enablement sprint: mapping automation opportunities, building production automations for content creation, business development and request intake, developing internal champions, and leaving reusable prompt libraries — all built alongside the team for capability transfer.

Rather than hand Kit a tool, Casper built capability. The sprint started by mapping where AI could remove real work, then built production automations alongside the team — the headline one collapsing quarterly reporting into a one-click process. They developed internal champions and left behind reusable prompt libraries so the team could extend the work without Casper. Framing mattered: the goal was to make AI feel like leverage, not extra work. The reporting automation alone cut that task's time by 75%, reclaiming 512+ hours of manager time and an estimated $50K+ in annual productivity value.

AI Role

AI is the leverage, not the deliverable. The engagement built production automations alongside the team — the headline one collapsing quarterly reporting into a one-click process — plus reusable prompt libraries and internal champions.

Infrastructure

Integration Points

Automations built into content-creation, business-development and request-intake workflows; reusable prompt libraries handed to the team.

Impact

75% Less Reporting Time

Quarterly reporting turned into a one-click process.

512+ Hours Reclaimed

Of manager time freed.

$50K+ Annual Value

Estimated annual productivity value.

Technology Utilized

Implementation Complexity

Time Savings

Cost Reduction

Best Fit For

Growth, marketing and ops teams whose AI adoption has stalled at experimentation — where the win is turning recurring, manual reporting and workflows into owned automations with internal champions.

Jay Singh

CEO & Founder

Casper Studios

CEO and co-founder of Casper Studios, a product studio helping companies design, build, and integrate AI-powered products.

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Industry:

Technology & Software

Business Function:

Marketing

Operations

Company Size:

Project Cost:

Cost not disclosed

Ownership:

Organization Type:

AI Pattern:

AI Workforce Enablement

Process Automation (RPA + AI)

Value Type:

Time Savings

Cost Reduction

AI Model:

Frequently Asked Questions

How did Kit cut quarterly reporting time by 75%?

Through a six-week AI workforce enablement sprint. Rather than handing over a tool, the experts built production automations alongside Kit's team — the headline one collapsing quarterly reporting into a one-click process, which cut that task's time by 75% and reclaimed 512+ hours of manager time.

What AI approach and tools were used?

The work centered on AI workforce enablement and process automation (RPA + AI): production automations built into content-creation, business-development, and request-intake workflows, plus reusable prompt libraries and internal champions so the team could extend the automations without outside help.

What results did Kit achieve?

Three measurable outcomes — 75% less time spent on quarterly reporting, 512+ hours of manager time reclaimed, and an estimated $50K+ in annual productivity value.

How long did the engagement take?

About six weeks — a focused AI enablement sprint, in the 4–8 week range.

Who is this AI enablement approach best for?

Growth, marketing, and operations teams whose AI adoption has stalled at experimentation — where the win is turning recurring, manual reporting and workflows into owned automations with internal champions.