EDGE by Blue Orange Digital

Everyone's using AI. Almost no one is banking it.

The L1–L5 maturity framework for middle-market PE.

Copilots make people faster. They don’t move the P&L. We pinpoint the workflows where AI creates the most enterprise value, then prove each one with a targeted 90-day pilot: production-grade, measured, and built to scale across the business.

The value gap

Your companies are piled up exactly where the value isn’t.

Almost everyone has reached L1: chat and copilots. Almost no one has reached the tiers where AI actually moves EBITDA. The distance between those two curves is the opportunity.

L3 · where BOD entersWhere companies areWhere the EBITDA isTHE VALUE TRAP~80% of companies~5% of the valueTHE VALUE GAPL1ChatL2ConnectedL3WorkflowL4OrchestratedL5Autonomous
Where companies are today, share of the mid-market by tierWhere the EBITDA is, cumulative lift by tier
Sources: MIT NANDA, The GenAI Divide: State of AI in Business 2025 (95% of enterprise GenAI pilots deliver no measurable P&L impact); BCG, Where’s the Value in AI? (4% of companies create substantial value, 74% show none); McKinsey, The State of AI 2025 (88% adopt AI; only ~6% see >5% EBIT impact).
The L1 trap

L1 is a plateau most companies mistake for the summit.

Chat and copilots are a first step, but the lift is capped and it never reaches the P&L. Letting people “play with AI” feels like progress. It’s not the same thing as banking it.

Why L1 stalls

  • It’s people-dependent. The lift lives in whoever happens to use the tool well, and it leaves when they do.
  • Change management eats it. Adoption stalls at the org chart, not the technology. Training decays the month after rollout.
  • Cost-per-seat doesn’t move. Faster people still cost the same. The headcount, the handoffs, and the drag are all still there.
  • Shadow-data risk. Company data leaks through personal accounts with no audit trail and no governance.

What breaks the ceiling

  • The agent runs the step. Not a faster human: the workflow itself is executed by the system, end to end.
  • Humans review the edge. People move to the high-judgment calls; the routine runs without them.
  • Cost-per-task replaces cost-per-seat. Unit cost finally moves with volume. This is the EBITDA line.
  • It compounds. A clean substrate and gated agents become the base for orchestration: L4, then L5.
L1
CopilotDone by you
Person does the work
GatherDraftAICheckDecideSend
Faster person, same process · cost-per-seat
vs
L3
Workflow AgentDone for you
Agent runs the workflow
GatherDraftCheckDecidehumanSend
↻ tools · memory · retry
Process redesigned, runs without people · cost-per-task

Same workflow, different question: who does the work. That's the line between a faster headcount and a cheaper function.

The map

Five tiers. Tier is a diagnosable fact, not a self-assessment.

A company is in L2 if its data platform, function-level AI deployment, and governance posture match the L2 definition. We complete the classification in a two-hour working session: no survey, no scoring rubric.

L3 · Done For You

Workflow Agents

An AI agent runs a whole workflow step; a human reviews. Cost-per-task replaces cost-per-seat, the point where a function gets faster and cheaper at once.

BOD’s role: This is where we enter. L3 is where workflow economics compound, so we anchor here, then expand down to the substrate and up to orchestration.

Explore L3
For the fund

One company proves it. The portfolio compounds it.

The same diagnostic that places one company on the map places all of them: every PortCo segmented by maturity and use-case clarity, every workflow ranked against a banded use-case inventory. The work is identified and priced before anything is built, and what ships in one company transfers to the next.

01

Map the fund

A read-only scan across the top ten places every company on the portfolio map: who’s ready to build, who needs one gap closed, who waits. Days, not a quarter of workshops.

02

Identify the work

Nine use-case categories, banded in basis points with time-to-value and confidence. Each PortCo’s workflows rated against the inventory; the highest-conviction work goes first.

03

Transfer what works

Proven workflows move between PortCos as packaged skills with the right context, no standardized data structures required. Every workflow shipped makes the next one cheaper.

The numbers

Investment bands: ranges, not promises.

Implementation cost, run cost, time to tier, and EBITDA lift: published, defensible, ready for an IC. Notice where the curve bends: L3 and above.

From → ToImpl. CostTimeRun Cost (add)EBITDA (cum.)Revenue (software)
Nothing → L1$150–350K3–6 mo$80–200K50–150 bpsN/A
L1 → L2$350–750K6–9 mo+$400–900K150–450 bps1–3%
L2 → L3$750K–1.75M9–12 mo+$1.2–2.8M350–950 bps4–11%
L3 → L4$1.5–3.5M12–18 mo+$2.5–6M750–1,850 bps9–26%
L4 → L5$3–8M+18–24+ mo$10M+1,450–3,350+ bps19–51%

Calibrated to $50–500M revenue middle-market companies. Ranges, not promises.

What you walk away with

Two hours. One defensible readout.

Not a deck of maturity adjectives, but a diagnostic an IC can act on: the tier you’re in, the tier to target, the six-dimension read, and the 90-day move.

Edge Assessment · readout

Project Atlas, Industrials

$180M revenue
Read-only · 2 hrs
Rev 1 · sample
L2
Current tier
L3
90-day target
350–950 bps
EBITDA band
Data integrity
Governance
Security
Observability
Identity
AI-readiness
  1. 1Stand up the L2 retrieval substrate on the existing warehouse, clean the FP&A source of truth.
  2. 2Ship one gated L3 workflow agent: the monthly variance close, human-reviewed at the edge.
  3. 3Instrument cost-per-task and evals before expanding to the next function.
For the investment committee

The questions sponsors actually ask.