Fractional chief AI officer support for consumer brands.

Sort AI ideas by the job they change, the information they need and the cost of a mistake. The workflow library gives a shared list of 77 candidate jobs to start from.

Decide, for each AI use, what it may draft or flag and who approves. Spend, customer messages, prices and orders always have a named approver.

Look at the AI tools and apps your team is being sold or already pays for, and check whether they fit the job and your data.

Agree before a pilot what it has to show on real examples, and stop the ones that create more checking work than they remove.

When a job needs something your stack does not have, scope it. That may be AI implementation or ecommerce automation, with us or another team.

Several people are trying AI tools, nobody owns the list, and no one can say which ones are working.

AI output is being used, but someone has to audit every change by hand and nobody agreed who.

Every tool you already pay for now sells an AI add-on, and you need a view on which ones matter.

You are about to commission an AI app or agent and want an operator and an engineer to check the plan before it starts.

AI groups reviews and tickets into themes with sources; the insight owner decides what is real. See feedback to brief.

AI checks an asset against the approved brief and claims; the creative lead approves. See creative production.

AI drafts the reorder suggestion with reasons; the planner approves the order. See supplier orders.

AI prepares the weekly review; the owner of each number approves it. See weekly review.

We look at the AI tools, pilots and ideas already in play, and the jobs they touch.

We agree a short list of jobs worth doing, with an owner and an approver for each.

We stay with leadership as ideas come in, check vendor proposals, and help set up the pilots.

Your team keeps a written list of AI uses, their approvers and what each must show before wider use.

Right when AI is core to the product or the company is large enough to need a permanent owner. Not what 2690 offers.

Right for one well-defined project. Leaves when it ends.

Right for a growing consumer brand that needs someone senior to own the AI decisions part-time, with the option to build.

A growing ecommerce, DTC or CPG brand with AI ideas and pilots but no clear owner for the decisions.

You need a full-time executive, regulated-industry model governance, or a manager for an in-house data science team.

A part-time senior advisor who owns the AI agenda without a full-time hire: which AI work is worth doing, in what order, who approves it, and how it is measured. At 2690 this is advisory support from the founders for consumer brands.

No. Matt and Mike Lady work with your leadership team as advisors. They do not join your org chart, and neither has held a chief AI officer title.

A consultant usually delivers one project. Advisory support stays with the same decisions over time: reviewing new ideas, keeping approval rules consistent, and deciding what to build next.

Yes, when a build is the right next step. Advisory work is useful on its own; nothing requires you to build with us.

Companies that need a full-time AI executive, model-risk governance for regulated enterprises, or someone to manage an in-house data science team.