Framework · Ambition levels
OAR
OAR is a three-level read on AI ambition used after the outcome, metric driver, operating constraint, AI fit, and readiness are known. Optimize improves a task in the current process. Amplify changes workflow, ownership, or decision quality inside the current operating model. Reinvent builds a different operating model from first principles.
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What it is
OAR is the aiming tool, not the starting point. First name the strategic outcome, decompose its metric into drivers, select one driver from baseline evidence, and inspect the tasks, workflow, data, integrations, people, and skills beneath it.
Then test whether AI fits the operating constraint and whether the organization is ready. OAR sets the scale of change: improve the task, change the workflow, or rebuild the operating model.
The three levels
O
Optimize
Improve a task inside the current process. Better sequences, faster call summaries, quicker routing. Measure whether the capacity or cost change reaches the selected business driver. It is not transformation.
A
Amplify
Change the workflow, decision quality, team boundary, or ownership inside the current operating model. The economics can move because the system changes, not because one person completes the same task faster.
R
Reinvent
Start from the strategic outcome and build a different operating model from first principles. The inherited journey is not the template. This level carries the highest readiness and change demands.
The visuals
Figure
The three OAR levels
Use after the outcome and constraint are known: improve the task, change the workflow, or rebuild the operating model.
Figure
The OAR audit
Run it per initiative after the operating diagnosis, then close the loop on the original metric.
- 1OutcomeIs the strategic result, owner, period, and baseline explicit?
- 2DriverWhich metric component and operating constraint are we changing?
- 3ReadinessDo process, data, integrations, people, and skills support the bet?
- 4ProofWill the original business metric decide whether we expand or exit?
Score: ___ / 4
Figure
The OAR matrix
Two axes. Change velocity is how fast the organization has to move to absorb it. Strategic impact is how much of the number it can touch. The three levels sit on a diagonal, and most portfolios cluster in the bottom left.
1Optimize
Same process, less time. Call summaries, CRM logging, follow-up drafting, lead-to-account matching, onboarding FAQ assistants.
Task cost · Quality · Chosen driver
2Amplify
The structure changes. Coaching agents that surface skill gaps, pipeline inspection that flags missing qualification data, health scores that trigger intervention before renewal.
Win rate · Cycle length · Retention
3Reinvent
The function is rebuilt. Agent-led territory orchestration, forecast copilots reading live CRM and external signal, org-wide reporting layers that synthesize sales, marketing, and success.
Revenue · Margin · Operating model
Figure
What each level looks like by seat
The same initiative reads differently depending on who owns it. Place the initiative on the level, then check the seat that has to live with it.
Sales
Optimize: auto call summaries and CRM logging.
Reinvent: agent-led territory orchestration, with a human owning the commitment.
RevOps
Optimize: lead-to-account matching and routing.
Reinvent: a forecast copilot reading live CRM, notes, and external signal.
Enablement
Optimize: an onboarding assistant for FAQs and process.
Reinvent: learning paths curated per rep by role and observed performance.
Customer success
Optimize: post-meeting follow-up drafting.
Reinvent: predictive health and NPS models that trigger named intervention.
What you get out of it
Run the outcomes-first OAR audit and every AI initiative carries a named outcome, metric driver, constraint, readiness decision, and honest ambition level. Spend can then be measured against the result it was meant to change.
- An inventory where each initiative is labeled Optimize, Amplify, or Reinvent by evidence, not by ambition.
- One named outcome and driver for every initiative instead of a portfolio of disconnected use cases.
- Language to the board that matches the work being done.
The mistakes it prevents
- Reinvent language, Optimize work
- The delta between the language and the reality is where reported return disappears.
- Reinventing everything at once
- Reinvent is a bet, not a policy. One function, chosen for leverage and exposure, is the working limit.
- Treating Optimize as failure
- For a low-maturity team, Optimize is the correct first level. The failure is staying there while claiming otherwise.
- OAR before diagnosis
- Choosing a level before the outcome, driver, constraint, and readiness are known turns the framework into branding rather than a decision.
- No economic proof point
- A level without a baseline and stated business result is a label, not a decision.
How it is used here
Theme 21 establishes the outcome, driver, operating constraint, fit, and readiness. OAR sets the scale of change that SLING then sequences toward.
You can either do what you've done in the past, better, faster, easier, cheaper with AI. Or the new world is thinking about first principles.
Jonathan Kvarfordt, Adventures in Revenue podcast
Most organizations are optimizing where they should be reinventing.
The Revenue AI Report, the OAR Matrix and the AI value gap
Terms used here are defined in the glossary and explained in plain language in the AI and Revenue Dictionary.
Apply it with a skill
Each skill turns this framework into a job you can finish. Copy the quick prompt for one task, or download the SKILL.md file, a reusable set of instructions for an AI assistant, for repeatable work.
- Build an Ideal Customer ProfileA one-page profile of the accounts most likely to buy, expand, and stay, built from your own win data.
- Audit How Ambitious Your AI Work Actually IsAn honest read on whether your AI work is trimming cost, expanding output, or changing the business, and what the next level would require.
Common questions
- What does OAR stand for?
- Optimize, Amplify, Reinvent. Three distinct levels of AI ambition used after the outcome, metric driver, operating constraint, AI fit, and readiness are known.
- Is Optimize a bad level to be on?
- No. For a team with low data and process maturity, Optimize is the correct starting level. The problem is describing Optimize work in Reinvent language, which sets an expectation the results cannot meet.
- What should happen before using OAR?
- Name the strategic outcome and baseline, decompose the metric, choose one driver, inspect the operating constraint, and test both AI suitability and organizational readiness.
- How does OAR relate to SLING?
- OAR is the target. SLING is the sequencing rule for getting there without breaking production systems.
Cite this framework
Kvarfordt, Jonathan. "OAR." The Revenue AI Report. https://www.therevenueaireport.com/frameworks/oar
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