Question 1

What size companies do you work with?

Accepted Answer

We work with mid-market companies between $5M and $50M in annual revenue. These are companies large enough to benefit from integrated AI systems but not large enough to justify a Palantir-scale engagement or an in-house AI-team.

Question 2

How is this different from hiring an AI agency?

Accepted Answer

AI agencies build from a brief, not from an operational model. They deliver and leave. We diagnose first, build second, and stay after go-live. The result is AI that keeps getting better instead of decaying the moment the engagement ends.

Question 3

Do I need a big budget to start?

Accepted Answer

No. The Business Blueprint is designed to be accessible for mid-market companies and delivers a validated map of your operations plus a ranked list of AI interventions with projected ROI. Most companies recoup the cost in the first intervention it identifies. You can decide what to build based on data, not guesses.

Question 4

What industries do you specialize in?

Accepted Answer

We work across industries. Our methodology maps the unique mechanics of YOUR business rather than applying a generic industry template. Common verticals include e-commerce, professional services, financial services, manufacturing, and distribution. The business blueprint approach works for any company with operational complexity.

Question 5

What happens to the knowledge when the engagement ends?

Accepted Answer

Everything stays. Your operations are documented in a living system. And we work with an AI champion in your team throughout to transfer knowledge. We build systems your team can maintain, not black boxes that only we understand. When people leave your organization, nothing is lost.

Question 6

How long until we see results?

Accepted Answer

Business Blueprint: 2-4 weeks to a validated map and prioritized intervention list. First working AI prototype: within 4-6 weeks of starting implementation. Measurable business impact: within 90 days. We measure against the metrics that matter to your P&L, not vanity metrics.

Question 7

Why not just hire an in-house team?

Accepted Answer

You're looking at 2-5 headcount of expensive AI staff — senior AI engineers at $150-300K each, data scientists, and an AI director to manage them, plus 6-12 months to ramp before anyone ships anything. The diagnostic alone tells you whether that investment makes sense and what to point them at. Many clients start with us and hire internally later, once they know what they need. You get a full AI department at a fraction of the cost of building one.

Real results from the other 5%

From Chaos to AI-First in Four Months

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