Independent AI decision advisory

Make the right call
on AI investment.

For leaders considering AI but unsure how much to invest—or where to begin. We do not sell software. We help you make a decision worth standing behind.

Starting pointAI readiness diagnostic
Decision supportSelection & delivery oversight
Enduring capabilityOngoing advisory

Close to the frontier. Accountable to your judgment.

We are based in the United States. What Silicon Valley is testing today often becomes standard market capability six to twelve months later. Seeing it early tells you what is worth paying for—and what may soon become a commodity.

Our Background

Berkeley Haas MBA · Wharton MBA · AI for Business

Our team brings experience from leading technology companies including Google and TikTok, alongside current Silicon Valley product leadership building and scaling AI products from zero to one. We also bring deep market and growth expertise, including leading AI governance and implementation for a 5,000-person U.S. multinational.

Diagnostics and interviews are designed around your operating cadence.

Remote-first · on-site when it matters

Workshops and executive sessions happen when real alignment is needed.

01 / Case study

Risk on one side. Gridlock on the other.

AI governance and rollout for a U.S. multinational · 5,000+ people · 4 months

The challenge

Employees were already using third-party AI tools, yet the company did not know who was using them, where, or what data was leaving the business. Internal approval still took four to six weeks. A blanket ban was beginning to look like the only option.

Three months: from risk to operating mechanism

01

Map

Mapped live AI use cases across the company as a risk and frequency heat map.

02

Set rules

Reset usage and approval boundaries: what is permitted and what requires review.

03

Operate

Put a governance agent and security gateway in place so the rules can run.

Same-day reviewNew-tool compliance reviews dropped from weeks to a day
Data with boundariesSensitive data is automatically redacted or blocked, with human review at critical points
Open, but controlledA 5,000-person team uses AI within clear boundaries
02 / The decision gap

The tools are not the bottleneck. The decision path is.

For AI to create real value, information, incentives and execution must all line up. If those three gates are not designed into the work, the system is likely to sit unused.

01 / Information

Where do we begin?

There may be only one or two use cases that fit your business and are worth doing now. Without clear priorities, money goes to the wrong place.

02 / Incentives

Quotes are not comparable

For the same AI support requirement, a general tool, industry SaaS and bespoke build can differ in cost by an order of magnitude.

03 / Execution

Live is not the same as adopted

Without acceptance criteria, training and usage rules, the day a system is delivered can be the day it starts to be ignored.

One more truth: a capability that commands a costly custom build today may be a free feature in a mainstream product next year. Knowing what to buy now—and what to wait for—is expertise in its own right.

03 / Independence

Independence makes real choice possible.

We take no software sales fees, implementation revenue or supplier referral commissions. Our only income is the advisory fee you pay us.

DimensionProduct-led advisorIndependent advisor (us)
Recommendation setProducts on their own shelfThe whole market: open source, existing tools and specialist solutions
How they are paidSoftware and implementation revenueOnly the advisory fee you pay
Project end pointSystem go-live and contract acceptancePeople are using it and the numbers are moving
Will they say “do not buy”?RarelyOften. That is exactly why you hire us.

Foundation models, industry solutions, open source or ready-made SaaS: we use what fits. Breadth of choice comes from independence.

04 / How we help

Three moves to complete the AI decision loop.

Decide → select → deliver → keep current. Vendors own implementation. We stay on the side of your decision.

01

AI readiness diagnostic

Map the business, data, processes and people. Rank opportunities by return and tell you where capital belongs—and where it does not.

Roadmap · opportunity list
02

Selection & delivery oversight

Screen options, compare quotes, review contracts, set acceptance criteria and train teams; define data boundaries and exit terms as well.

Options report · acceptance plan
03

Ongoing advisory

Ask us before major decisions; let us filter market and competitive signals; refresh the governance through quarterly reviews.

Executive counsel · quarterly review
05 / Where to begin

Where should AI start?

Five of the most common, highest-return starting points for mid-sized companies. The right first move depends on your industry, budget and team.

Customer care

Repeated questions → human judgment

Sales & quoting

Individual expertise → institutional asset

Marketing content

Slow outsourcing → strategy and review

Documents & process

Manual work → structured automation

Management decisions

Fragmented data → grounded decisions

06 / Getting started

Priced for the decision,
not hours on a timesheet.

Initial AI conversationComplimentary30–45 minutes · remote
AI readiness diagnosticFive figures3–4 weeks · starting point
Selection & delivery oversightSix figuresby complexity · 3–6 months
Ongoing advisoryMonthly subscriptioncontinuous decision support

Start a conversation

Send a note.
Let’s talk.

A 30-minute initial conversation. Tell us about the business; we will give you an honest view on what merits the next step, and what does not.

Duration30 minutes
FormatInitial conversation · Directional assessment
You leave withAn honest view of the next move
Organisation size
Preferred starting time

Received. We will be in touch within one business day.

Contact:aochi.ai.llc@gmail.com