Question 1

What is an AI maturity audit?

Accepted Answer

An AI maturity audit evaluates an organization's ability to deploy artificial intelligence at scale. At TLedger, our AI Readiness Assessment analyzes 5 strategic dimensions through 34 questions: strategy, use cases, technology & data, talent, and governance. The result is a quantified scorecard with a prioritized roadmap.

Question 2

How much does AI consulting cost?

Accepted Answer

Cost varies by engagement scope. The initial diagnostic (AI Readiness Assessment + 30-minute debrief) is free. Strategic audit engagements start from a few consulting days. Contact us for a quote tailored to your context.

Question 3

What's the difference between an AI POC and a production deployment?

Accepted Answer

A POC (Proof of Concept) validates the technical feasibility of an AI use case. A production deployment integrates the solution into business processes with monitoring, MLOps, and measured KPIs. 95% of AI POCs never reach this stage — that's exactly the problem TLedger solves.

Question 4

How to choose an AI consulting firm?

Accepted Answer

Evaluate three criteria: sector experience (financial services, retail, public sector), ability to go from strategy to production deployment, and transparency on results. A good AI consulting firm should be able to show use cases in production, not just slides.

Question 5

What is the AI Readiness Assessment?

Accepted Answer

TLedger's AI Readiness Assessment is a 34-question AI maturity diagnostic inspired by the Bain & Company methodology. It evaluates 5 dimensions: AI strategy, use cases & deployment, technology & data, talent & skills, governance & operating model. Results include a scorecard, sector benchmark, and 90-day prioritized roadmap.

Question 6

Why do 95% of AI pilots fail?

Accepted Answer

According to the MIT State of AI Report, 95% of AI pilots never scale to production. Root causes: data not ready, no MLOps, lack of internal skills, inadequate governance, and use cases not designed to scale. The problem isn't ambition — it's fundamental capability.

Question 7

How to scale a successful AI pilot?

Accepted Answer

Scaling an AI pilot requires four elements: solid data architecture, an MLOps platform for deployment and monitoring, trained teams (technical and business), and clear governance. TLedger supports organizations on all four axes, from diagnostic to production deployment.

Question 8

What are the data prerequisites for deploying AI?

Accepted Answer

Essential prerequisites: unified and accessible data infrastructure, measured and managed data quality, automated pipelines (ETL/ELT), and real-time capability when needed. Without these foundations, no AI model can scale — it's the most often underestimated dimension.

Question 9

Does TLedger operate in Francophone Africa?

Accepted Answer

Yes. TLedger operates in France, Tunisia, and Francophone Africa (Ivory Coast, Senegal, Morocco). Our founder has intimate knowledge of these markets, having co-founded Banque Zitouna in Tunisia and led AI programs for Expertise France and the European Union in the region.

Question 10

What is generative AI for enterprise?

Accepted Answer

Enterprise generative AI (GenAI) goes beyond chatbots: RAG-based business AI assistants, autonomous agents, automated workflows, cost optimization through prompt engineering and intelligent routing. TLedger deploys GenAI solutions compliant with the EU AI Act with documented ROI.

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