Results.
Not promises.

The challenge

A mid-market SaaS company was spending 40% of sales capacity on prospecting with declining conversion rates. The team had no visibility into which accounts were in-market, and follow-up sequences were manual and inconsistent.

The approach

Mourad rebuilt their entire top-of-funnel as an AI signal intelligence system — detecting buying intent across 14 data sources and routing ready opportunities directly to sales reps with full research briefs. The outreach was generated by Claude Sonnet and calibrated to each prospect's role, company stage and recent signals.

The outcome

Prospecting time dropped to near zero. Pipeline velocity tripled. The sales team now focuses exclusively on conversations — not research.

The challenge

A consulting firm was leaving significant expansion revenue on the table — not from lack of effort, but from lack of signal. Account managers had no system for detecting client risk or expansion opportunity until it was either too late or too obvious.

The approach

Mourad designed an intelligence layer that tracked client engagement patterns, analysed usage signals and communication sentiment, predicted risk and expansion windows, and surfaced the right action at the right moment — directly in the CRM with a recommended next step.

The outcome

Revenue per client grew 2.8× within 18 months. Client retention reached 89%. The firm stopped losing clients to churn they did not see coming.

The challenge

A traditional manufacturer wanted to understand where AI could move the needle — without disrupting operations that had run the same way for 20 years. Leadership had AI enthusiasm but no implementation clarity.

The approach

Mourad mapped the entire operation through an intelligence lens in 90 days — interviewing 18 department leads, analysing process data, and scoring every potential AI intervention by revenue impact and implementation confidence. The output was not a slide deck. It was a prioritised execution roadmap with three ready-to-build systems.

The outcome

€2.4M in addressable inefficiency identified across operations. Three high-leverage interventions selected for immediate implementation. First system live within 30 days of engagement close.

The challenge

A B2B e-commerce company had strong product but invisible online presence. Their content was generic, rarely updated, and written without understanding of how AI assistants now influence B2B research.

The approach

Mourad built a complete content intelligence system — a 90-article cluster plan, Schema.org markup on every page, entity optimization for LLM citation, and an n8n-powered content operations workflow that produced, reviewed and published new articles on a two-week cadence.

The outcome

Organic traffic grew 500%+ over 14 months. The brand began appearing in ChatGPT and Perplexity answers for key buyer queries. Two articles ranked in Google AI Overviews within 6 months.