Is your team ready to put AI to work?

A five-minute diagnostic showing where AI can create operating leverage, what could derail adoption, and what leadership should fix first.

Start the scorecard

24 questions · about 5 minutes · immediate score

Trusted by

Global and growing brands

ASICSSupply LogicSplashBaySync2HirePelagium Capital

TitanStack intelligence brief

AI Readiness

Diagnostic inputs

24

Operating systems

8

Constraint views

4

Overall readiness

Overall readiness score: 67 out of 100A radial gauge showing the sample company in the operationalizing readiness band.67out of 100

Operationalizing

Eight-system profile

BrandBench.
Readiness across eight operating systemsThe sample brand is compared with a benchmark. Executive direction is strongest at 78. Data and technology is weakest at 54.EXCXREVFINPPLTECHOPSPROD

Constraint analysis

BrandBenchmark
Four AI readiness constraintsThe sample brand is compared with a benchmark. Information readiness is the lowest constraint score at 48 out of 100.Strategic alignment74Information readiness48Workflow leverage62Controls & capability57

Opportunity portfolio

Priority use cases by impact and implementation effort

Quick wins

6

Capacity

320hrs/mo

Impact versus effort matrix for five priority AI use casesFifteen AI use cases distributed across a portfolio view. Six are positioned as high-impact, lower-effort quick wins.Quick winsStrategic betsImplementation effortBusiness impact

First actionMap one priority workflow and its information dependencies.

02 · What it measures

Eight operating systems. One company-level view.

AI readiness is not owned by IT alone. It depends on how leadership chooses, how information moves, how teams work, and how the brand learns from customers and the market.

01

Executive Direction

Ownership, investment choices, and decision boundaries.

02

Customer Experience

Service knowledge, repeat issues, and the customer feedback loop.

03

Revenue Engine

Customer data, campaign execution, and commercial handoffs.

04

Financial Intelligence

Close speed, forecasting effort, and measurable business value.

05

People & Enablement

Role-specific training, operating knowledge, and review skills.

06

Data & Technology

Usable information, responsible access, and traceable outputs.

07

Operational Execution

Handoffs, exceptions, recurring reporting, and coordination load.

08

Product & Merchandising

Product content, market signals, demand shifts, and inventory risk.

The second cut

A score shows where. A constraint tells you why.

01

Strategic Alignment

Whether AI decisions have accountable owners, business value, and a shared direction.

02

Information Readiness

Whether the information needed for AI is usable, current, connected, and trustworthy.

03

Workflow Leverage

Whether repeatable work and handoffs are clear enough to improve safely.

04

Controls & Capability

Whether people can use AI well and the company can govern what they do with it.

What you receive

A useful signal, not a manufactured diagnosis.

  • An overall AI readiness score and clear maturity band.
  • Eight operating-system scores that show where to investigate.
  • Four constraint scores that explain what is holding readiness back.
  • A written reading and practical first action for every constraint.
  • An honest boundary between self-reported signal and verified assessment.

Ready to find your first constraint?

Start the scorecard

24 questions · about 5 minutes · immediate result