A plain-language roadmap with 3-5 business outcomes, investment ranges, risks, and a 60-90 day execution plan.

How technical do we need to be?

Not technical. We frame decisions in outcomes, risk, and cost. We handle the architecture and guardrails.

How fast can we start?

We typically launch a pilot in two weeks after a short discovery and sign-off.

How do you manage risk?

We set refusal rules, private deployments or retrieval-only patterns, and clear audit logs—no data sprawl.

How We Help Non-Tech CEOs Understand and Adopt AI (Without the Jargon)

What non-technical CEOs need to know (not the math)

Where AI drives revenue or saves cost in your specific business.
How to keep customer trust: data boundaries, approvals, and audit.
How fast you can pilot, what it costs, and who owns it internally.
What “good” looks like: metrics, SLAs, and stop conditions.

How we communicate AI to executives

Plain-language briefs: One-pagers that state the business goal, data used, risk, and expected impact.

Visual flows: Simple swimlanes showing where AI acts, where humans approve, and where data flows.

Guardrail summary: What the system will and will not do; escalation rules; audit logging.

Value model: Hours saved, revenue lift, and payback windows.

Our consulting cadence

Discovery (week 1): Goals, constraints, and top 3 processes to target.
Options (week 1): Two to three patterns (automation, retrieval, private deploy) with risk/benefit.
Decision (week 2): Choose one to pilot with owners and metrics.
Pilot build (weeks 2–3): Ship a contained flow with guardrails and logging.
Review (week 4): Measure, adjust, and decide on scale-up.

Examples CEOs appreciate

Support deflection: 30–40% self-serve for tier-1 questions with safe refusals.
Lead response: <5 minute first touch via SMS/email with smart routing.
Reporting: Monday-ready decks with validated numbers—no manual spreadsheets.
Onboarding: Tasks, docs, approvals standardized to reduce churn risk.

Risk and compliance for leadership

We specify where data resides, which models touch it, and how we prevent leakage. For sensitive data, we choose private or retrieval-only patterns, add refusal rules, and log every action. Leaders get comfort without drowning in acronyms.

How we keep it jargon-free

No model names without context—we translate to cost, latency, and safety.
No vague “AI copilot” claims—we show exact steps automated.
No endless decks—one-page briefs and live demos.

Ready to brief your board?

We’ll craft the business case, risk posture, and a 60–90 day plan you can defend. Then we’ll build the first proof point in two weeks.

Speak with a strategist See our case studies

FAQ

Will engineers be in the room?

Only when needed. We keep exec sessions focused on outcomes and risk, then go deep with technical teams separately.

What if the board asks about safety?

We provide a simple risk register, refusal rules, and data flow diagrams that answer security and compliance questions.

Can you help with change management?

Yes—training, comms, and adoption metrics are part of every engagement.

Do you help hire in-house?

We can define roles, interview, and set a hybrid model if you plan to staff internally.