Exaptation AI is Built on Scientific Literature, Business Cases and Strategic Management Knowledge
Custom ExAI Services
Discover Growth Opportunities for any Asset Type Across Industries & Domains
EGS Model · Practitioner view · v0.4
Four phases from what you already own
A projection of the nine-box EGS model. The box decoder is shown with each phase.
You are here
BOXES 1–2
INVENTORY
List every asset you own & can acquire — including shelved, sunset and written-off ones.
g1
BOXES 3–5
TEST
Put them in front of new users, contexts and pressures. Run cheap, falsifiable experiments.
g2
BOX 6
DETECT
A function nobody designed for shows up — and repeats.
g3
BOXES 7–8
GROW
Product-market fit, then application domain, then price. Turn the new function into revenue.
g4
Realized growth
Return on assets you already paid for.
Every cycle creates new assets — the model is a spiral, not a line
Where to Begin?
Understand mechanisms: WHY and HOW
Conduct Latent Asset Review for your org
Use ExAI tools to develop growth options
ExAI Provides
Exaptation science | Business logic
Customized outputs | Decision-making tools
Structured prompts | Agentic workflows
Anthropic enterprise customers can leverage Claude tools and agents inside organization environment
Exaptation Agent
Interface preview — not a working toolAsset under examination
Grocery loyalty programme purchase history
Manifested function: target promotions and lift repeat purchase.
Candidate functions
- Function shift
- From influencing a purchase to inferring a physical state. The record stops being a marketing input and becomes an observation.
- Anchor
- The Cancer Loyalty Card Study read supermarket purchase records for early ovarian-cancer signals.
- Function shift
- From forecasting demand to tracing an event backwards through a population.
- Selective pressure
- Recall windows measured in hours; existing trace systems stop at the shelf.
- Why it fails the gate
- The function is unchanged — informing marketing decisions. Only the buyer is new. A new customer is a domain shift, not a functional one.
This is a preview of an interface we are building, not a product you can use today. It illustrates how the Exaptation Agent will present candidate functions and why it refuses some of them.
OpenAI enterprise customers can leverage built-in GPT tools and API inside organizational environment
Four Ways to Work Together
From AI-enabled to Standard Engagements
1) On-Demand Exaptation AI
Use ExAI’s Claude or GPT tools, prompts, logic and schemas in Chat, Agents or API environment to run growth analysis:
Generate novel, differentiated growth bets
Develop detailed, testable hypotheses
Create & run business experiments to discover what else can your resource do
Build initial business pitch, incl executive briefings and custom strategy documents
ExAI on stand-by for problem solving & support
2) Mastery, then ExAI Integration
Learn Exaptation mechanisms + use custom ExAI tools purpose-built for your org to advance novel ideas internally:
Master key exaptation concepts and techniques to apply inside your org using existing innovation routines
Form an internal Exaptation Team (min 2 members) and invest in 8-hour custom training course
Leverage ExAI (see DIY) to run growth analysis and produce actionable findings
Continued support through end of engagement
3) Advisory Services + ExAI
Traditional consulting engagement + leverage cutting-edge ExAI capabilities:
In-person + virtual collab to brainstorm & ideate based on exaptation logic to produce differentiated bets
Search, evaluate, and rank high-value bets to present to executive leadership for capital allocation discussions
Craft plans to test and advance potent ideas through business experiments
Build reports, including executive briefings and custom strategic documents
Refresh product roadmap, including strategic pivots caused by rapidly enhancing AI technologies
4) Bespoke with ExAI
Develop specific projects via ExAI within hours & days while competitors are unaware:
Portfolio-level assessment to identify top A&R for investors (VCs, PE, MNCs, Foundations, CVC, etc)
Conduct Latent Asset Review to find underused resources loaded with unexplored potential
Identify + conduct due-diligence for new Partnerships, JV, M&A, and Spinoffs in core & non-core markets.
Train engineers, R&D, design, product, finance and growth teams to embed exaptation across the org
Integrate ExAI capabilities during off-sites + strategy meetings to surface unexpected Alpha value
We are Building the Future