Sprint to AI

Enterprise Assessment

Your team knows you need AI. They just can't tell you where to start.

A deep-dive assessment across every department. Board-ready deliverables. A proof of concept. 3–6 weeks.

8–15 hours of client time, scheduled around your availability. Starting at $25,000.

WHO IT'S FOR

Built for organizations where complexity is the constraint.

The Enterprise Assessment is designed for PE portfolios and multi-department organizations where a one-week sprint doesn't capture the full picture. If your processes aren't documented, your team can't clear a week, or you need board-level buy-in — this is the right fit.

You're a fit if:

  • PE portfolio company (EBITDA language, value creation timeline, fund-level repeatability)
  • Multi-department complexity spanning 3+ teams or business units
  • Processes that live in people's heads, not SOPs
  • Scheduling constraints — leadership can't clear a full week
  • Board or IC approval needed before moving forward
  • 5–15+ stakeholders need to be interviewed

WHY 3–6 WEEKS

The constraint isn't how fast we can work.

It's how fast your organization can move.

Processes aren't documented.

They live in people's heads. Your team can't explain the workflow without showing you. That takes time to surface and map correctly.

Your team can't clear a full week.

Operators are running the business. Scheduling 5+ hours across a dense week isn't realistic. We work around your calendar, not ours.

Decision-makers aren't on your timeline.

Signing off on a $100K+ build requires internal alignment that doesn't happen overnight. We build the case — that takes time to do right.

THE PROCESS

3–6 weeks. Complete clarity.

Scheduled around your availability — not a contiguous week.

Weeks01–02
Discover & Diverge~5–8 hrs your time

Group and 1:1 stakeholder interviews across all departments and levels — 5 to 15+ interviews. Complete process mapping. Full tech stack assessment and data readiness assessment. HMW notes captured in real-time.

Weeks03
Define & Build~1–2 hrs your time

Score every opportunity by EBITDA impact, feasibility, timeline, and data readiness. Client touchpoint with lightning demo (30–60 min). Validate selected opportunity. Harry begins proof of concept build. Nicole documents roadmap and build spec.

Weeks04–06
Build & Deliver~2–5 hrs your time

Harry completes the working proof of concept. Nicole builds the board-ready executive presentation. Additional deep dives as needed. Internal dry run. Live final presentation to full leadership team. Post-engagement debrief.

SEVEN DELIVERABLES

Board-ready. Implementation-ready.

8–15 hours of client time across the engagement, scheduled around your team's availability.

01

Business Process Map

Every department, every level. All workflows, bottlenecks, disconnections, and manual workarounds — documented and mapped.

02

AI Opportunity Scorecard

Every opportunity ranked by EBITDA impact, feasibility, timeline, and data readiness. EBITDA-focused for PE value creation plans.

03

12-Month AI Roadmap

Sequenced plan, quarterly milestones, budget ranges. Designed for PE value creation timelines and board reporting.

04

Proof of Concept

Functional demo of the #1 opportunity. Not a mockup — something that works. Built to demonstrate feasibility and build internal buy-in.

05

Board-Ready Executive Presentation

A polished PowerPoint for board meetings and investment committees. Covers findings, opportunities, ROI projections, and recommended path forward.

PE-specific
06

Implementation Proposal

Scoped build specification from Imaginary Space. Timeline, team structure, cost, and technical approach for full production implementation.

07

Post-Engagement Debrief

Live session with the full leadership team to answer questions, refine priorities, and align on next steps before implementation begins.

THE PORTFOLIO PLAY

One assessment. Fund-level value.

The methodology compounds across a portfolio. What we prove at one company becomes the playbook for the next.

01

Prove the methodology.

Run the assessment on Portfolio Company A. See the ROI. Build internal confidence in the framework.

02

Package the playbook.

Same framework, faster execution. What took 6 weeks on Portco A takes 3 weeks on Portco B.

03

Deploy across the portfolio.

Automation that saves $100K/yr at one portco probably saves $100K/yr at the next three.

04

Build the fund-level story.

"AI-enabled operations" becomes a value creation narrative that differentiates the fund at exit.

COMMON RESULTS

What we find across complex organizations.

Multi-department organizations have more opportunities — and more hidden costs. Here's what shows up most often.

Problem
Typical Value
Manual reporting across disparate systems
$50K–$150K/yr savings
Undocumented processes across multiple departments
20–40% efficiency gains
Analyst-heavy research and deal screening
20+ hrs/week freed per analyst
Poor customer data from acquisitions
Weeks vs. months to clean data
AP exceptions and vendor communications
$100K+ savings

HOW WE COMPARE

More than any competitor. Less than Big 4.

Sprint to AI
Cost
Starting at $25,000
Timeline
3–6 weeks
Proof of concept
Yes
Board-ready deck
Yes
Implementation proposal
Yes (18-person eng. team)
EBITDA-focused scoring
Yes

* Comparison shows typical market ranges. Individual providers vary.

WHAT THIS IS (AND ISN'T)

Clear on what you're getting.

This is NOT

  • A 6-month assessment that tells you what you already know
  • A science project with no clear business outcome
  • A recommendation to overhaul your cloud infrastructure
  • Another consultant who delivers a 200-page deck and disappears

This IS

  • Time-boxed — 3–6 weeks, hard stop
  • ROI-focused — every opportunity tied to EBITDA impact
  • Proof-driven — a proof of concept, not a concept sketch
  • Board-ready — deliverables your investment committee can act on
  • Implementation-ready — what to build, what it costs, who builds it

FROM OUR CLIENTS

Don't take our word for it

I hired Nicole to join my team at Google, and I can say from personal experience that she possesses the exact convergence of skills you need in front-end engineering, which of course lies at the intersection of software engineering and user experience.

Eugene Park

Eugene Park

Former Engineering Manager & Staff Front-end Engineer at Google

Harry created a proof-of-concept that hit every must-have requirement we had. It saved us significant time, cost, and complexity in building our prototype. If you're thinking of improving or creating an online process, he's definitely worth working with.

Alex Franklin

Alex Franklin

Managing Director & Author, Mining For Value

Ready to start the conversation?

We'll scope the engagement, confirm fit, and build a timeline that works for your organization.

Starting at $25,000 · 30/40/30 payment structure · Overages at $250/hr

No commitment required — we'll confirm fit before scoping.