AI BUSINESS AUDIT
Know exactly where AI will create value in your business
A structured diagnostic that tells you, with quantified ROI, where AI fits in your operations, in what order to deploy it, and what payback to expect. Aligned with NIST AI RMF, ISO/IEC 42001, the EU AI Act, and the IIA AI Auditing Framework.
What we measure: the 8 pillars
We do not compress the audit into a single score. The pattern across pillars is what tells you what to do, and in what order.
Strategy & Business Alignment
Is AI connected to specific business outcomes, or are pilots running in isolation?
Data Foundations & Governance
Is your data accessible, governed, and of sufficient quality to support AI workloads?
Technology & Infrastructure
Does your stack support modern AI deployment, integrations, and scale?
People & Skills
Do you have or can you build the technical and operational capability AI requires?
Illustrative readiness profile
Each pillar scored 1 to 5. Pattern across pillars drives the roadmap.
Culture & Change Readiness
Will your organization actually adopt what gets built, or quietly reject it?
Governance & Risk
Do you have the decision rights, approvals, and oversight to deploy AI safely?
Processes
Are your operational processes documented enough to incorporate AI without breaking?
Ethics
Are you equipped to deploy AI responsibly under GDPR, the EU AI Act, and sector regulations?
Each pillar is scored 1 to 5 with documented evidence. Common patterns: high Strategy + low Data means ambition exceeds capability and foundation work comes first. High Tech + low Culture means you can build it but nobody will use it, so heavy change management is required. The diagnostic value lives in the pattern.
OUR METHODOLOGY
The 6-step audit framework
A research-backed methodology that converges on what tier-1 consultancies, internal-audit bodies, and AI governance standards prescribe in 2026. Every step produces a concrete artifact your operating team and your auditors can inspect.
Scoping & AI System Inventory
We map every AI system, use case, and shadow AI tool in scope. System purpose, data sources, model types, owners, deployment environments, and risk category captured per system. This is the documentation foundation regulators and insurers expect.
Aligned with
Maturity & Readiness Assessment
We score your organization across 8 readiness dimensions using established maturity ladders. The pattern across dimensions tells you what to fix first: the lowest-scoring pillar caps the value of everything above it.
Aligned with
Risk & Compliance Evaluation
We benchmark each material AI system against AI-specific standards. High-risk systems get classified, mapped to obligations, and assigned controls. Sector-specific layers added where relevant (GDPR, HIPAA, MiFID, Swiss nFADP).
Aligned with
Opportunity Prioritization & ROI
Multi-criteria scoring of every candidate AI initiative across business impact, feasibility, data readiness, strategic alignment, and speed to value. Output: an opportunity matrix and a 5-layer ROI breakdown for the top recommendations.
Aligned with
Roadmap & Governance Design
Time-phased 6-12-24 month transformation plan integrating build, governance, risk, and change management workstreams. Includes decision-rights structure, human-in-the-loop arrangements, and AI Center of Excellence design where relevant.
Aligned with
Monitoring & Continuous Reassessment
AI audit is not one-and-done. We set up model drift detection, lifecycle monitoring, vendor reassessment cadence, and the periodic re-audit rhythm your governance committee needs to stay defensible as models and regulations evolve.
Aligned with
Each step produces concrete artifacts: AI system inventory, maturity scorecard, risk register, opportunity matrix, governance framework, implementation roadmap, and monitoring runbook. Compliant with NIST AI RMF (Map, Measure, Manage, Govern), ISO/IEC 42001, the EU AI Act, and IIA's three-line model.
Enterprise
Multi-division, regulated, board-level engagements
8 to 12+ weeks, multi-phase
- Custom-scoped engagement
- 15 to 30 stakeholder interviews
- Multi-business-unit coverage
- Geographic and regulatory breadth
- Optional vendor RFP support
- Phase-gated delivery
How the engagement runs
Five phases from first call to handoff. Fixed-fee, no scope creep, no surprise charges.
Discovery call
60 to 90 min, freeWe map your operating context, identify high-value pain points, and qualify whether the audit is the right next step. No pitch deck.
Kickoff
Week 1Engagement letter signed, deposit received. Workshop with your executive sponsor and functional leaders. Data request issued.
Data gathering
Weeks 1 to 35 to 8 stakeholder interviews. System and data inventory. Process time audit. Shadow AI discovery. Data readiness checks.
Analysis & scoring
Weeks 3 to 48-pillar maturity scoring with documented evidence. Value-effort opportunity matrix. 5-layer ROI modeling for top recommendations.
Readout & handoff
Weeks 4 to 6Executive summary, full audit report, implementation roadmap delivered. 90-minute readout workshop. Implementation pathway proposed.
How we quantify ROI
Every prioritized recommendation gets a financial number sourced from your data, industry benchmarks, or published research. No opinion-based claims like "AI will improve things by 50%" without sourcing.
Layer 1, Financial
Annual savings or revenue uplift in CHF. The headline number.
Layer 2, Strategic
Customer satisfaction, retention, competitive positioning.
Layer 3, Operational
Cycle time, throughput, error rate, response time.
Layer 4, Adoption
Expected usage rate and team adoption metrics.
Layer 5, Technical
Performance: accuracy, latency, reliability.
Scenario planning: Every Standard and Deep audit includes three scenarios per recommendation (conservative, expected, best case) so you see the realistic range, not a single optimistic number.
What you get
Concrete artifacts you can hand to your board, your operating partners, or your investors.
Executive Summary
1 to 2 pages. The answer, the top 3 recommendations, the investment, the payback. Written for the CEO.
Full Audit Report
10 to 40 pages depending on tier. Current state across all 8 pillars, opportunity portfolio, detailed recommendations, supporting evidence.
Implementation Roadmap
Standalone 4 to 6 page PDF. Phased 6 to 12 month plan with owners, durations, and ROI per initiative. Designed to be shared with your board.
Opportunity Prioritization Matrix
Value-effort 2x2 with composite scoring. Makes the prioritization logic transparent and defensible.
Readout Presentation
Standard and Deep tiers. 90-minute workshop with your leadership team, walking through findings and next steps.
AI Governance Framework
Deep tier. Three-line governance model, risk classification, approval process, policies, RACI matrix. Required for regulated industries.
Why it works
Big 4 methodology, SMB pricing
We use the same frameworks Big 4 firms use (MIT CISR, KPMG, McKinsey, IIA, NIST), at 2 to 5% of their price. Rigor without billable-hour theater.
Fixed fee, no scope creep
Every engagement is fixed-fee. If our analysis takes longer than estimated, the cost remains as quoted. No hourly billing, no surprise charges.
Founder-led, every engagement
Sofía leads every audit personally. No junior consultants, no offshore delivery. You work with the engineer who designed the methodology.
Quantified, not guessed
Every recommendation has a financial number sourced from your data, industry benchmarks, or published research.
Direct path to implementation
The audit is Phase 1. If the findings warrant it, we deliver the implementation. Same team, no consultant-to-vendor handoff.
EU, Swiss, and LatAm coverage
Delivered in English, Spanish, and German. GDPR, EU AI Act, and Swiss nFADP compliance built into the methodology.
What is an AI business audit, and why do I need one?
An AI business audit is a structured diagnostic that maps your operations across 8 readiness dimensions, identifies the highest-value AI opportunities specific to your business, quantifies expected ROI per opportunity, and produces a phased 6 to 12 month implementation roadmap. 70% of enterprise AI projects fail because companies pick tools before understanding which problems to solve and in what order. The audit prevents that.
Audit FAQ
How is this different from your free online audit?
The free audit gives you a useful diagnostic snapshot: 3 scores, top 5 recommendations, monthly savings estimate. It is deterministic and runs in 5 minutes. The full audit is a real consulting engagement: 6 to 12 stakeholder interviews, full system and data inventory aligned with the EU AI Act Annex IV, 8-pillar maturity scoring with documented evidence, risk and compliance evaluation against NIST AI RMF and ISO/IEC 42001, opportunity prioritization, 5-layer ROI modeling, and a phased 6 to 12 month roadmap with governance design. The free audit earns the call. The full audit earns the implementation budget.
How quickly will the audit pay for itself?
Most clients recover the audit investment in the first quarter of implementation. We typically identify CHF 100K to 300K of recoverable annual value in mid-market companies. The audit fee is a small fraction of the value we will identify, sourced from your data and industry benchmarks rather than estimated.
Will you try to sell us implementation work afterward?
We will propose implementation work if the audit findings warrant it. Whether you engage us to deliver it is entirely optional. Many clients build part in-house and partner with us only on the parts that need specialized expertise. The audit's value does not depend on you hiring us for implementation.
What if we already tried AI and it didn't work?
That is the most common starting point we see. The audit's first job is diagnosing why prior attempts failed (usually: wrong use case, missing data foundation, no governance, executive sponsor disengaged) and sequencing the next attempt behind structural readiness.
Can you work with regulated industries (finance, healthcare, legal)?
Yes. Regulated-industry engagements include a full AI governance framework, risk and compliance review for your specific regulations (GDPR, EU AI Act, HIPAA, SOC 2, sector-specific), three-line governance design, and a decision-rights structure. We strongly recommend the deeper engagement scope for any regulated-industry client deploying customer-facing AI.
How long does the audit take?
Initial assessments run 2 to 8 weeks depending on organization size, scope, and regulatory complexity, in line with current consultancy benchmarks. Subsequent transformation work typically extends over 12 to 36 months, sequenced through the roadmap the audit produces.
Two ways to start
Run the free audit
5 minutes, no signup. Get your 3 scores, top 5 recommendations, and a monthly savings estimate.
Start the free auditBook a discovery call
Free 60-minute call. We map your operating context and qualify whether the paid audit is the right next step.
Book a call