AI consultant in Alpharetta, from someone who has built with it.
Alpharetta is home: my office is at North Point, and I work with CEOs, boards and operating partners across North Fulton on where AI pays in the business and how to get it into production with an owner and a number. I have built with it: an AI engagement platform launched as CEO of Product Genius, a generative AI product shipped at Blameless to Fortune 500 engineering teams, and New Relic AI launched at New Relic. I still work at the bottom of the stack too: I run two inference servers of my own, so the advice tracks what the models can do this quarter, not what they could do last year.
Most of my AI work runs nationally. Here it can simply happen across a table: at my office, at yours anywhere in North Fulton, or in your boardroom, with Zoom between sessions when that is easier.
The AI questions on the table in Alpharetta.
Alpharetta is a technology town: software, fintech and payments companies along GA-400, corporate offices beside them, and founder-led and sponsor-backed companies around Avalon and Downtown. The AI decisions leaders here bring me cluster in six places.
AI in the product
Customers now expect AI in the product, and the roadmap has to decide what to build, buy or skip. I have shipped it from the inside three times: at Product Genius, at Blameless and at New Relic.
AI in the operation
Support, success, billing and onboarding: the flows your people re-type day after day. Any process you can model can be mostly automated, with the exceptions routed to a named person. The roadmap ranks the candidates by cost and confidence.
Engineering output, and the new bottleneck
Teams I have measured run 3 to 17x on output with AI, depending on the codebase and the guardrails. When coding stops being the constraint, the bottleneck moves to product and QA, so the plan has to cover both.
The AI bill keeps growing
Licenses and agents bought last year, a bill that keeps climbing, and no one who can say what it returned. Mapping the workloads honestly has cut spend by 80 percent on some, with frontier models moved off work smaller models handle.
An AI answer for the board
The board wants a plan, the pilots work in the demo, and nothing has reached production. The answer is a ranked list of workloads with a number behind each, and the first one live inside a quarter. The board version is in the AI answer your board actually wants.
A sponsor’s plan on a clock
A PE or venture owner with a value creation plan that names AI, and a management team stretched thin. One win found, put into production and repeated across the portfolio, measured in EBITDA inside the hold period. More on AI consulting for private equity.
Someone who has done the work, not a team that has studied it.
A consulting team brings a partner to the pitch and analysts to the work. Here the person who scopes it is the person in the room, building with your people and accountable for the result. The difference is not only the shape. It is what stands behind it.
The boardroom and the server room
I have sat in the boardroom as a CEO, a public-company founder and a Managing Partner, and built AI products as a CEO, a COO and a platform GM. I also run two inference servers of my own and work hands on with the models and how they are trained. The board-level call and the technical call get made by the same person, so nothing is lost in translation.
Hands on, with your people
The person on the scoping call is the person who builds it with your team, deployed inside your own systems. You are not paying for juniors to learn your business, and the capability stays when I leave.
Your data stays yours
Your data stays inside the systems you already control, and a model reads what the access rule permits and no more. One person in your company owns the record of which models run, on what, and what they decided.
No vendor in the room
I sell no software and take nothing from a vendor. If I ever advise a company I would recommend to you, I say so first.
A number the CFO can audit
Per workload: the share of volume that no longer touches a human queue, times what a unit of it cost before, against a baseline measured before the switch. Adoption is counted in volume, not in licenses or logins.
Three shapes of engagement, in person in North Fulton.
We pick the shape together on the scoping call, and it can change as the work does.
AI Assessment
A fixed-fee assessment of where AI pays in your business, ending in a written plan you can run with me, run yourself, or shelve. A small business, under 50 people, takes two weeks, remote with one session in person in North Fulton, from $3,500. A mid-market company, 50 people up to $1B in revenue, or any PE-backed company, takes four weeks at $15,000 per company. An enterprise is quoted after the scoping call. The fee credits in full toward an Adoption Sprint that starts within 90 days.
AI Adoption Sprint
One or two workloads into production inside one quarter, with owners, dates and a baseline measured before the switch is thrown. Your people build the muscle, and the first win funds the next one.
Fractional AI leadership
A fractional Chief AI Officer: executive ownership of the AI agenda across a company or a portfolio, on a monthly retainer, with a monthly line to the board or the operating partner, until someone inside passes the test or the right talent is hired.
What the assessment answers
- Where does AI pay in this business, ranked, with a number on each workload?
- Is the data ready: where does it live, and who owns it?
- Can the systems take it, and what has to connect to what?
- Which processes can be modeled, at what volume and unit cost, and where do the exceptions go?
- Are the people ready, and who owns each workload after I leave?
- What are the risks: governance, compliance and security?
- Build, buy or skip, and which vendors, if any?
- What is AI already costing you, in tools and spend without an owner?
- What happens in the next 90 days, and what does the board hear?
The output is a ranked plan, not a maturity score. The forty-five minute scoping call before it is free.
Based at North Point. This is home.
This is my home market. I live in Alpharetta and my office is at North Point, so a workshop is a short drive, not a fly-in, and the standing cadence can simply be in person.
The record behind the work: an AI platform built and launched as CEO, a generative AI product used by Fortune 500 engineering teams, New Relic AI across two billion events a minute, and the cloud transformation inside Cox Automotive. And the outcome I point to most: a CEO with $25M in revenue, a one-time $50,000 investment in automating the flows his team re-typed day after day, and $250,000 of annual cost out.
The seats, not the theory
In the press
Featured in CNN, CNBC, The Wall Street Journal, Forbes, Wired, Fast Company and the Atlanta Business Chronicle. See the coverage.
AI consulting in Alpharetta: the questions people actually ask.
Do you work in person in Alpharetta?
Yes, at my office at North Point or at yours anywhere in North Fulton: Alpharetta, Milton, Roswell, Johns Creek, Cumming and Sandy Springs. Workshops and working sessions in person, with Zoom between them when that is easier.
What does an AI consultant actually do?
An AI consultant separates where AI pays in your business from where it does not yet. That means mapping real workloads, putting a number on each, and getting the first wins to production. The difference between AI consultants is what stands behind the map. Mine is having built and shipped AI products as an operator.
What does AI consulting cost?
The first step has a published price. The AI Assessment is from $3,500 for a small business under 50 people, $15,000 per company for a mid-market or PE-backed company, and quoted for an enterprise, and the fee credits in full toward an Adoption Sprint that starts within 90 days. The sprint carries a project fee with owners and dates, and fractional AI leadership is priced like the operating commitment it is. The forty-five minute scoping call before any of it is free, and the first workload is chosen so the savings are visible against the fee.
Are you a firm, or one person?
One person, by design. The person on the scoping call is the person in the room and the person accountable for the result. Where the work needs more hands, your own team does it with me, which is how the capability stays in the company after I leave.
Do you work with software and fintech companies here?
Yes. Most of my operating record is technology, and the AI part of it is product: an AI engagement platform, a generative AI incident-response product and New Relic AI. AI in the product and AI in the operation need different answers, and a software company usually needs both.
Do you work with PE- and VC-backed companies in North Fulton?
Yes: AI diligence on targets, post-close AI value creation plans, portfolio-wide workload sweeps and exit readiness, for the sponsor and for the company. I spent a decade as a Managing Partner on the investing side, so the EBITDA lens is native, not adopted.
How long does it take?
The AI Assessment takes two weeks for a small business and four for a mid-market company. An adoption sprint puts one or two workloads into production inside one quarter, with owners and dates. Fractional AI leadership is an ongoing seat. Data readiness is what adds time, which is why the assessment asks the data question first, before a date is set.
Do you work with companies outside North Fulton?
Yes. Most of my AI work runs nationally, remotely and on-site. The North Fulton difference is that the in-person sessions are a short drive.
Bring me one workload, or the whole portfolio.
Forty-five minutes, no pressure, no pitch. Bring the AI question that is actually on your desk, and we will work out together whether you need a roadmap, a sprint or a seat, and whether I am the right one. In person in Alpharetta or on Zoom.
- Send the note, or book the call if you would rather pick a time.
- Forty-five minutes, on video or across a table in Alpharetta.
- A scope and a number if it makes sense to work together, and a straight no if it does not.
Or reach me directly:
(629) 304-8755
ken@kengavranovic.com
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