Alec Hemenway.

AI sales & implementation Minneapolis, MN

AI earns its place
in the business.

I’m Alec Hemenway. I work across enterprise sales and AI implementation. For founders and customer-facing leaders at AI companies, I focus on the decisions between a promising demo and a successful enterprise customer: what to solve, how it fits the workflow, and what success must look like.

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Alec Hemenway seated in a tan suit

Working principles

From discovery to business value.

  1. Discover

    Find the constraint. Establish the baseline.

  2. Map

    Connect the data, definitions, and relationships.

  3. Implement

    Fit AI to the workflow, with clear ownership.

  4. Prove

    Measure the outcome, including adoption and costs.

Price for value. Agree the intended outcome and expected ROI up front.

See the decisions behind the work

My point of view

The acceptance criteria are the product.

“The commercial conversation has to define what the implementation must deliver — before the build, not after it. Customer-agreed acceptance criteria belong in the sale itself.”
Read the essay

Selected work

The decisions behind the build.

One client engagement, two product projects, and the choices behind them.

01 Client engagement · Wealth management

Meeting preparation, scoped with the owner.

I worked directly with a Minneapolis wealth-management firm’s owner to scope and build a Claude API agent that turns CRM and document-store context into cited, two-page meeting briefs.

Under 5 minutesTotal meeting preparation in one advisor’s single session, including reading the brief and checking questionable details.
Read the engagement
Synthetic exampleMeeting-prep brief excerpt

For the advisor

A statement you can trace.
A question left open.

In the brief

Discuss the client’s planned move. [1]

[1] Read the sample source

Fictional CRM note · 2026-07-08

“Client asked to discuss a planned move at the next meeting. Date not provided.”

Question for the advisor

When is the move?

The source does not specify a date.

Illustrative acceptance check

Source attached
Shown
Missing date flagged
Shown
Advisor confirmation
Still needed

Invented content and review checks. Not actual client output or evaluation results.

02 Commercial product

Rep Coaching / Deal Intelligence

An application for deal summaries, meeting analysis, rep coaching, and forecasting, built around CRM context.

Explore Rep Coaching
Existing Rep Coaching interface capture from the website repository
Existing project image

03Voice & human workflows

DailyOK

AI voice check-ins for older adults, with call summaries and review tools for caregivers.

Explore DailyOK

Selected thinking

A point of view,
put to work.

Notes on selling, scoping, and implementing AI.
I share ongoing thinking on LinkedIn.

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From the RIA engagement · Essay

The acceptance criteria
are the product.

Read the essay Discovery & scoping · Essay

Understand the workflow
before choosing the AI.

Read the essay
Alec in a gray sweater
Based in Minneapolis, Minnesota.

A little more about me

An enterprise seller
who builds.

I’m interested in the decisions that connect a sale to a working implementation: what to solve, what to buy or build, and what the customer needs to see before trusting it. Outside work, you’ll find me on a golf course or a trail.

More about me

Let’s compare notes

Bring a problem
you’re working on.

Follow my thinking on LinkedIn. If you have a specific AI customer or workflow problem, we can spend 20 minutes on where it’s stuck and whether there’s a useful next step together.

Follow on LinkedIn Book 20 minutes
Minnesota business owner?Start with paid discovery

Start with a paid discovery engagement. We’ll examine how the work gets done, where the data lives, and who uses the result. From there, we’ll identify a worthwhile problem, agree on success criteria, and decide what to build or buy. Implementation is scoped from what we learn.

Discuss your workflow ↗