Know where you stand before you spend a dollar
Free, scored, and built for executives — not generic checklists. Each assessment produces a readiness profile and a clear read on what to prioritize next, drawn from 27 years of technology leadership across Fortune 500 and growth-stage companies.
How Ready Is Your Company for AI?
A scored profile across six dimensions — data, strategy, team, governance, architecture, and investment — plus a map of where AI automation would pay off first.
Take the assessment →Do You Need a Chief AI Officer?
A fit assessment for whether your organization has reached the point where a dedicated AI leader — fractional or full-time — would pay for itself.
Take the assessment →Which Processes Should You Automate First?
Rank your candidate processes by ROI, feasibility, data availability, and error cost to produce a sequenced automation shortlist.
Take the assessment →Is Your Technology Ready for an Exit?
A sell-side readiness score across architecture, documentation, security, key-person risk, scalability, and IP — what a buyer’s diligence team will actually grade.
Take the assessment →How Strong Is This Acquisition’s Technology?
A buy-side scorecard for evaluating a target’s codebase, architecture, team, security, technical debt, and data before you sign.
Take the assessment →Where’s the Tech Value in Your Portfolio Company?
Score where technology value can be created across the 100-day plan and hold period — quick wins, cost, scalability, leadership, and roadmap.
Take the assessment →How Mature Is Your AI Governance?
Score your AI governance across policy, risk, data privacy, model oversight, accountability, and compliance — so you can move fast and stay defensible.
Take the assessment →Should You Rebuild, Wrap, or Replace?
Score business-logic value, stability, integration complexity, documentation, data quality, and urgency to find the right modernization approach.
Take the assessment →Is Your Platform Ready to Scale?
Score your architecture, performance, infrastructure, data layer, observability, and team readiness to handle 3–10× growth.
Take the assessment →Do You Need a Fractional CTO?
A fit assessment — not a cost calculator — across the technical leadership gap, stage and complexity, decision quality, team maturity, and strategic pressure.
Take the assessment →How Confident Are You in Your Tech Roadmap?
Score your roadmap’s clarity, business alignment, feasibility, prioritization, resourcing, and risk — would it survive a board’s questions?
Take the assessment →Is Your Mortgage Operation Ready for AI?
A scored AI readiness profile built for mortgage lenders — across data, strategy, team, governance, technology, and investment, with the regulatory realities of lending baked in.
Take the assessment →Is Your Real Estate Business Ready for AI?
A scored AI readiness profile for brokerages, property managers, and proptech — from lead gen and listings to transactions and valuation.
Take the assessment →Is Your Financial Institution Ready for AI?
A scored AI readiness profile for banks, insurers, and fintechs — with model governance, fraud, compliance, and legacy-core realities accounted for.
Take the assessment →Is Your Supply Chain Ready for AI?
A scored AI readiness profile for freight, 3PL, and distribution — forecasting, routing, warehouse, EDI, and end-to-end visibility.
Take the assessment →Is Your Firm Ready for AI?
A scored AI readiness profile for legal, accounting, consulting, and agencies — knowledge, document work, intake, and billing, with confidentiality in mind.
Take the assessment →Is Your Automotive Business Ready for AI?
A scored AI readiness profile for dealers, telematics, and automotive suppliers — high-volume vehicle data, DMS/CRM, inventory, and service.
Take the assessment →Are You Ready for Series A Tech Diligence?
Score what a Series A lead investor’s technical diligence will grade — architecture, team, security, code quality, roadmap, and operations — before you start the raise.
Take the assessment →Is Your Healthcare Organization Ready for AI?
A scored AI readiness profile for hospital systems, providers, payers, and digital-health — clinical workflow, HIPAA, FDA, EHR integration, and model governance.
Take the assessment →How Much Shadow AI Is Hiding in Your Organization?
Score the AI risk hiding in plain sight — unsanctioned tools, vendor-AI features your teams turned on, and confidential data leaving your perimeter.
Take the assessment →Is Your Marketing Org Ready for AI?
A scored AI readiness profile built for CMOs — customer data, martech integration, content production, brand and compliance, attribution, and budget velocity.
Take the assessment →Is Your Tech Ready for an IPO?
A pre-S-1 technology scorecard across SOX controls, security, architecture, engineering org, roadmap narrative, and reporting infrastructure — what underwriters’ diligence will actually grade.
Take the assessment →Is Your Manufacturing Operation Ready for AI?
A scored AI readiness profile for manufacturers — OT/IT convergence, MES/SCADA, supply chain, and quality. Shows where AI pays back first on the plant floor.
Take the assessment →Is Your Insurance Operation Ready for AI?
A scored AI readiness profile for carriers, brokers, and MGAs — underwriting, claims, actuarial, distribution, with NAIC/state-DOI realities baked in.
Take the assessment →Is Your Retail or E-Commerce Business Ready for AI?
A scored AI readiness profile for retailers, DTC, and marketplaces — merchandising, inventory, personalization, customer experience, and fulfillment.
Take the assessment →Is Your Education Organization Ready for AI?
A scored AI readiness profile for K-12, higher ed, and edtech — learning, student services, operations, with FERPA and academic-integrity realities accounted for.
Take the assessment →Are You Ready to Be a Chief AI Officer?
A scored career-readiness profile across the six dimensions a CAIO interview actually grades — strategy, technical literacy, governance, leadership, change, and visibility.
Take the assessment →Is Your Operations Org Ready for AI?
A COO-flavored AI readiness profile — process visibility, operational data, workforce adoption, governance, systems integration, and execution velocity.
Take the assessment →Is Your Legal Org Ready for AI?
A GC-flavored AI readiness profile — workload, AI-specific risk, team, privilege and confidentiality, tech stack, and board-level reporting.
Take the assessment →Is Your Security Org Ready for AI Risk?
A CISO-flavored AI risk assessment — AI tool visibility, data loss, vendor AI, AI-specific attack surface, agent identity, and incident response.
Take the assessment →Is Your HR Org Ready for AI?
A CHRO-flavored AI readiness profile — people data, workforce strategy, bias/EEOC risk, manager adoption, HR tech stack, and budget velocity.
Take the assessment →Are You Ready to Scale Engineering 10x After Series B?
Score the six dimensions the next 18 months of scale will pressure-test — architecture, org and hiring, security, observability, leadership bench, and burn discipline.
Take the assessment →Is Your Tech Foundation Ready for Your First Raise?
A first-raise readiness scorecard for bootstrapped founders — foundation, founder dependency, growth ceilings, security basics, hiring plan, and runway math.
Take the assessment →How Exposed Are You to Your Vendors’ AI?
Score the risk hiding in your SaaS vendors’ AI features — inventory, contracts and liability, data boundaries, posture, monitoring, and exit.
Take the assessment →Is Your AI Compliance Posture Defensible?
A scored compliance posture across EU AI Act, NIST AI RMF, ISO 42001, and US state AI laws — for the GC, CISO, and CAIO who’ll be asked to defend it.
Take the assessment →Is Your Organization Ready for Agentic AI?
A scored agentic-AI readiness profile — workflow clarity, tool and data access, guardrails, agent identity, observability, and value capture.
Take the assessment →Is Your Post-Close Tech Integration Plan Real?
A post-close integration scorecard — planning, identity consolidation, system consolidation, data migration, team integration, and timeline honesty.
Take the assessment →How Mature Is Your Engineering Org?
Score the six pillars peer-grade engineering orgs are built on — delivery cadence, quality, ownership, platform, talent density, and continuous learning.
Take the assessment →Are You Actually Capturing Value from Your AI Spend?
A scored ROI-realization profile — baseline measurement, adoption, value capture, iteration, attribution, and portfolio discipline.
Take the assessment →How Well Is Your Sales Team Using AI?
A scored profile across prospecting, conversation intelligence, forecasting, deal execution, enablement, and tooling — built for VP Sales and CROs.
Take the assessment →How Well Does Your C-Suite Leverage AI?
Not "is your company deploying AI" — does your CEO, COO, CFO actually use AI in their own work? A scored profile across briefing, drafting, pattern recognition, fluency, modeling, and time allocation.
Take the assessment →Are Your Developers Actually More Productive With AI?
92% of developers use AI tools daily; only 29% trust the output. A scored profile measuring real AI-augmented productivity, not tool-usage theatre.
Take the assessment →How Mature Is Your Governance Over AI-Generated Code?
Score the disciplines that prevent vibe coding from sinking your codebase — policy, review, attribution, security, accountability, and training.
Take the assessment →Are Your Devs Tethered to Strategic Architecture While Vibe Coding?
A scored profile of whether your AI-accelerated development respects the architecture you designed — or quietly diverges from it.
Take the assessment →Is Your Codebase Ready for AI Coding Agents?
A scored profile of how productively AI code agents can work in your codebase — and the cleanup that unlocks 10x output.
Take the assessment →How AI-Agent-Friendly Is Your Codebase Foundation?
Score the architectural bones — primitive coverage, layering, conventions, interface stability, build velocity, onboarding — that decide whether AI agents accelerate or stall.
Take the assessment →Could a Code Footprint Cut Your Implementation Time in Half?
A scored profile of where your enterprise implementations spend time — and how much of it a production-tested foundation could compress.
Take the assessment →Would CleenUI Save You 6+ Months on This Project?
A fit assessment for whether CleenUI — the full-stack codebase footprint covering 15 common application areas — is the right foundation for your upcoming project.
Take the assessment →Is Your Legacy Estate Ready for AI Integration?
60% of AI leaders say legacy integration is their top adoption blocker. Score API surface, data accessibility, integration patterns, identity propagation, observability, and legacy system ownership.
Take the assessment →Are You Ready to Turn On Your Vendors' AI Features?
Every SaaS vendor is shipping AI features. Score whether to turn them on, hold off, or evaluate case-by-case across data posture, contracts, audit, opt-out, change management, and vendor concentration.
Take the assessment →Is Your Data Foundation Ready for Production AI?
The five conditions enterprise data has to meet before AI workloads can run on top of it — completeness, freshness, quality, lineage, privacy, and semantic clarity.
Take the assessment →Are Your Vendors AI-Ready, or AI-Washed?
A scored evaluation framework for separating vendors with real AI integration depth from those running a marketing-only AI story.
Take the assessment →Is Your Engineering Team Calibrated for the AI Era?
Calibration, not readiness. Score whether your engineering team is structurally adjusted for AI — hiring profile, role mix, upskilling, tooling, evaluation criteria, leadership modeling.
Take the assessment →Will Your Engineering Org Thrive Over the Next 3 Years?
Score whether your engineering organization is structurally positioned for the AI era — org structure, career ladder, economic model, leadership pipeline, market position, and tech-debt strategy.
Take the assessment →How Well Does Your Support Team Use AI?
Score deflection, agent augmentation, routing, QA/voice-of-customer, self-healing workflows, and tooling — whether AI is actually reducing ticket volume or just adding another tool.
Take the assessment →How Well Are Your Operations Teams Leveraging AI?
A scored profile across forecasting, exception handling, vendor ops, document processing, workflow coverage, and tooling — for back-office and operations leaders.
Take the assessment →Is Your CS Team Using AI to Reduce Churn?
Score whether your Customer Success org is using AI to actually predict, prevent, and reduce churn — or just running better dashboards.
Take the assessment →How Well Is Your Finance Team Using AI?
A fitness check — not advocacy. Score AI use across FP&A, close, AP/invoice processing, audit/anomaly detection, CFO-level work, and tooling.
Take the assessment →Is Your PM Team Shipping at AI-Era Velocity?
Score PM-specific AI use — research synthesis, spec drafting, roadmap arbitration, experimentation, customer-signal aggregation, and tooling.
Take the assessment →How Well Is Your People Team Using AI?
A scored profile of AI in HR operations — sourcing, employee experience, feedback synthesis, knowledge access, onboarding personalization, and the ethics line that separates leverage from surveillance.
Take the assessment →Is Your Marketing Ops Stack AI-Native?
An operator-level scorecard for marketing ops — attribution, segmentation, content production, campaign automation, data foundation, and martech AI tooling.
Take the assessment →Will This Software Project Hold Up Over the Next 5 Years?
A scored profile across the architectural, operational, and economic dimensions that decide whether a project ages well or has to be rebuilt in two years.
Take the assessment →Does Your AI-Generated Code Meet Production Standards?
A scored quality profile for the code AI is shipping into your repo — correctness, security, readability, testability, maintainability, and the tooling that gates it.
Take the assessment →What's the Production Risk Hiding in Your AI-Generated Code?
An audit of the operational risk your AI coding tools have shipped into the codebase — credential exposure, hallucinated dependencies, auth drift, test mirages, architecture drift, and audit visibility.
Take the assessment →Do You Have the Right Foundation for Your Modernization Program?
A scored fit assessment for whether your modernization is built on a foundation that compounds — or one that locks in the same legacy patterns in a new wrapper.
Take the assessment →Will Your AI Workloads Actually Talk to Your Systems?
A scored profile of whether AI workloads can integrate cleanly across data formats, agent protocols, identity propagation, observability, idempotency, and rate-limit budgets.
Take the assessment →How Fluent Are Your Developers in AI-Augmented Development?
Capability, not output. Score prompt craft, failure-mode literacy, context hygiene, critical reading of AI output, decision calibration, and continuous learning cadence.
Take the assessment →Is Your Architecture Built for the AI Era?
A scored audit of whether your system architecture treats AI workloads, agents, and AI-assisted development as first-class citizens — or just bolts them on top of patterns designed before all of this existed.
Take the assessment →Will This Software Investment Still Pay Off in 3 Years?
A CFO-lens scored profile of whether a software investment will still be returning value three years from now — or whether AI disruption, vendor concentration, or technical debt will erode it.
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