Inside-Out / Outside-In AI Portfolio
Balance internal efficiency with AI that transforms customer value
- Difficulty
- Easy
- Time to result
- ~weeks to results
- Steps
- 4
- Confidence
- 96%
This framework divides AI opportunities into two complementary perspectives. Inside-out initiatives begin with the company’s existing processes and ask where AI can automate work, improve conversion, or reduce operational friction. Outside-in initiatives begin with the customer and ask what would make that person’s experience dramatically easier, faster, or more valuable. Leaders classify proposed projects by perspective, compare the balance of the resulting portfolio, and deliberately fund both operational improvements and customer-facing breakthroughs. The mechanism guards against a common bias: choosing only measurable internal optimizations because they are easier to justify. By maintaining both lenses, a company can capture near-term efficiency while exploring experiences that strengthen differentiation and customer loyalty.
Origin
Kipp Bodnar attributes the model to a description of Zillow’s red and blue teams shared by Bill Gurley. Extracted from Marketing Against The Grain.
Core principles
- 01Internal efficiency and customer value are distinct AI objectives.
- 02An AI portfolio should contain initiatives serving both objectives.
- 03Customer-facing transformation deserves equal attention to operational automation.
- 04Portfolio balance prevents incremental efficiency from crowding out innovation.
How to run it
- 1
Map inside-out opportunities
Start with core business processes and identify where AI could automate work, improve performance, or reduce cost.
Pro tip Use existing bottlenecks and recurring manual tasks as inputs.
Watch out Do not treat every routine automation as strategically important.
- 2
Map outside-in opportunities
Adopt the customer’s perspective and identify experiences AI could make substantially easier or more valuable.
Pro tip Focus on difficult customer jobs rather than the novelty of the technology.
Watch out Avoid assuming an internal efficiency automatically creates customer value.
- 3
Classify and compare
Place each candidate in the inside-out or outside-in portfolio and compare impact, feasibility, and strategic value.
Pro tip Flag initiatives that improve both perspectives.
Watch out Do not let precise internal metrics automatically outweigh harder-to-measure customer benefits.
- 4
Fund a balanced portfolio
Choose a small number of initiatives while preserving meaningful investment in both categories.
Pro tip Pair a predictable inside-out win with an exploratory outside-in bet.
Watch out A portfolio made entirely of incremental automation may leave the customer experience unchanged.
In the wild
A software company pairs an inside-out project that summarizes support tickets for agents with an outside-in project that gives customers contextual guidance while they configure the product. The first reduces handling time; the second removes the need to open many tickets at all.
→ The company improves operating efficiency while creating a more self-sufficient customer experience.
Common mistakes
Optimizing only internal metrics
A portfolio dominated by cost savings can miss AI experiences that customers would notice and value.
Calling internal automation customer innovation
An operational improvement belongs in the inside-out category unless it materially changes the customer’s experience.
Is it for you?
Best for
It is best for leaders assembling a balanced portfolio of AI initiatives across operations and customer experience.
Not ideal for
It is not ideal for evaluating the technical feasibility of a specific implementation.
From the transcript
“the red team is focused on using AI inside out.”
“the blue team is focused on using AI outside in.”
“what is gonna create the most value for my customers.”
From the episode
Use This A.I. Marketing Strategy To Grow Your Business In 2023 (#114)