EDGE by Blue Orange Digital

Chat & Copilot: Done By You.

Tier 1: Chat & Copilot

L1 is human-in-the-loop chat: a person prompts, edits, decides. No durable business memory, no internal data unless pasted, no execution beyond the turn. The starting line for roughly 80% of middle-market companies, and the place most stall.

~80%
Adoption
The human
Who orchestrates
$150-350K
Implementation
3-6 months
Time to tier
50-150 bps
EBITDA lift (cum.)
Definition

A real but bounded productivity layer.

L1 is per-employee uplift on tasks already being done. The economic value is 10-30% productivity on a per-seat basis. Real. But no process is redesigned, no workflow captured, no institutional knowledge accumulated. The "AI ROI" stories that fill quarterly board decks largely live here, and they hit a ceiling fast.

Underneath L1 sits the data foundation: warehouses, ingestion, governance. No agent orchestration exists at L1 by category. Data orchestration (Airflow, Dagster, Prefect) is the ancestor, necessary, but not the same animal.

Done by you, which is exactly the limit.

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. Cost-per-task replaces cost-per-seat the moment the agent runs the steps.

What L1 actually looks like in a portfolio company

FunctionIn practiceSignal
Engineering80%+ Cursor / Claude Code adoption, the single highest-ROI L1 move+15–25% PR throughput
FinanceClaude / ChatGPT drafts commentary, variance and the deck, numbers still from ExcelFlash P&L 10d → 3d
MarketingBrand-voice drafting; the editor still ships the final copy−40–60% draft time
Sales / RevOpsPower BI or Looker is the system of record; AI doesn't touch it yetOne governed dashboard
LegalAI flags deviations from the playbookLawyer makes the call

The named picks at L1.

General chat
Best long context (1M), strongest writing, portable Skills
Chat (M365 shops)
Lives where work lives; Graph permissions inherited
Chat (alt)
Broadest ecosystem; Workspace Agents
Coding
78% SWE-bench; MCP-native; lowest tokens/task
Research
Best cited research; replaces ad-hoc googling
Data SoT
Databricks default; Snowflake for analytics-first / SQL-only
Ingestion
Lowest time-to-first-row
Transform
SQL-first, engineering-rigor modeling
Governance
Native first; Atlan when multi-platform
Observability
BOD primary at L1+ for data observability
BOD positioning

L1 is the substrate. Treat it as serious infrastructure work, not as "we bought Copilot, we're good." A clean L1 unlocks every tier above it. A dirty L1 means every agent above it lies confidently.

Where L1 is creating measurable value today.

Engineering

Cursor / Claude Code at 80%+ seats

The single highest-impact L1 move. PR throughput +15-25%. Reduces dependency on hiring against a backlog. Sets up an L3 graduation when the org is ready to put coding agents in CI.

Finance

Flash P&L in 3 days

Close-cycle commentary, variance drafting, board narrative, copilot-assisted. CFO draft time down materially. Doesn't redesign the close; speeds the human running it.

Marketing

Brand-voice drafting

Content drafting time -40-60%. Editor still ships. Sets up the L2 graduation to brand-grounded retrieval and the L3 graduation to autonomous draft-to-publish.

Legal

Contract review copilot

Deviations from playbook flagged; lawyer makes the call. The L2 graduation is a full retrieval index over the contract library; the L3 graduation is the deal-desk feed.

Sales / RevOps

One BI dashboard, well-governed

The unglamorous L1 win. Identity resolution on leads. One system-of-record for revenue. Nobody automates a number they can't agree on.

HR

HRIS headcount-to-plan

Headcount, plan, gap: clean and grounded. The L2 graduation is recruiting Q&A over the policy library; the L3 graduation is the recruiting agent.

How L1 stalls.

  • License sprawl, usage drought. Everyone gets a seat; under 20% weekly active by month 3.
  • Treating it like search. "What's our policy on X" hallucinates because nothing is grounded. Fix is L2, not better prompts.
  • Banning instead of governing. Legal blocks it; employees use personal accounts; data leaks with no audit trail.
  • No prompt library. Every employee reinvents the wheel weekly.
  • Mistaking model quality for outcome. Swapping GPT-4 for Claude Opus doesn't change the fact that nobody redesigned a process.

What L2 looks like.

  • Saved Custom GPTs / Claude Skills in active use by named teams.
  • A retrieval connector (Glean, SharePoint, Drive) live for at least one team.
  • Someone owns "AI enablement" as real % of their job, not a side project.
  • Reporting dashboard for usage, not just licenses.
  • A workflow that needs your knowledge, not the internet's, to be useful.
L2: Connected Intelligence

Diagnose your L1 in two hours.

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