In-product AI features
Scoping, measurement design, and kill criteria for AI features that need to defend themselves against churn and margin impact.
Broader tier — fractional leadership is the usual fit
Most mid-market SaaS companies arrived at 2026 with the same problem: they have an AI roadmap, a few features in production, a few pilots stuck in proof-of-concept, and no single executive who owns whether any of it is commercially working. This is the problem fractional leadership is designed for.
For SaaS, our usual engagement is Tier 03 Fractional Leadership. A founder takes the AI seat on a quarterly retainer, owns the roadmap, defends the investment case in your boardroom, and scorecard-builds the full-time CAIO who eventually replaces us. Transformation Programmes are also common where a specific product surface — onboarding, support, pricing, analytics — needs to ship AI capability that clears a commercial bar.
We don't do AI-for-AI's-sake SaaS work. If the right call is to not ship the feature, we'll say so on the first call.
Scoping, measurement design, and kill criteria for AI features that need to defend themselves against churn and margin impact.
Tier-1 deflection, agent-assist, and knowledge-base intelligence scoped against contact-rate reduction, not call deflection vanity metrics.
Usage-based pricing modelling, AI-feature pricing, and cohort-based upgrade intelligence.
Alexandria deployed inside your organisation — an in-house 170-agent platform your product, ops, finance and GTM teams use directly.
If your profile doesn't match any of these, we'd rather tell you on the first call. We'll point you to someone better suited — and mean it.
We come prepared on your business. You come prepared on your problem. We both leave knowing whether there's a fit.
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