AI Integration Labs

Prove one useful AI capability. Know how to lead it.

Bring one meaningful business problem into a focused working room. I will help you narrow the use case, define the boundaries, build and test an appropriate solution, and plan how it will be used.

This is a controlled implementation experience, not an introduction to AI or an open-ended software build. We keep the scope small enough to make the decisions and human ownership visible.

Compare the Options →
Jennifer Bennett, Fractional Chief AI Officer

What you leave the Lab with

Use Case
One Defined Business Problem
Boundaries
Clear Guardrails & Review
Solution
Built & Tested in the Room
Plan
How It Gets Used Next

One Use Case. A Clear Owner. A Practical Test.

The value is not leaving with another experiment nobody owns. It is understanding the work, the system, and the decisions that keep it useful.

  • Purpose: What business problem are we solving?
  • Boundaries: What information and actions are appropriate?
  • Human Check: What needs verification, judgment, or approval?
  • Practice: Who will use the solution, and how will they know it is working?
Every project is reviewed for feasibility, security, complexity, and fit before it is accepted.

A good use case starts small enough to test

Examples include a research assistant, an internal knowledge workflow, a content-planning process, a repeatable intake task, or a decision-support tool. These are possibilities, not a promise that every example will fit your access, information, or integration constraints.

  • Research assistant
  • Internal knowledge workflow
  • Content-planning process
  • Repeatable intake task
  • Decision-support tool

I review the proposed problem for fit, feasibility, and scope. If the work requires a broader build or leadership decision first, I will name that.

Choose the Level of Support You Need

Two ways to work: build alongside Jennifer in a focused cohort, or have Jennifer lead the build for you.

Build Alongside Me

AI Integration Lab: Cohort Intensive

$750 per participant
Maximum 10 participants per cohort

A four-hour, in-person working session in College Station, Texas. Each participant brings one appropriately scoped use case and takes part in the work. I help keep the focus on what can be responsibly designed, tested, and used.

Your Lab includes a readiness and problem-definition questionnaire, help narrowing the use case, guided implementation, testing and refinement, and a practical plan for continued use. I help you make the decisions rather than hide them inside a black box.

What’s included

  • Readiness and problem-definition questionnaire
  • Help narrowing the use case
  • Four-hour live cohort implementation intensive
  • Guided implementation
  • Testing and refinement
  • A practical plan for continued use
  • Access to a focused cohort of no more than 10 participants

Best for

Business owners, leaders, consultants, and professionals who have basic technical familiarity, can confidently navigate common AI platforms, and want expert guidance while building their own solution.

This is not for

Complete technology beginners, people seeking general AI education, or participants who do not yet have a specific business problem they are prepared to solve.

Upcoming lab dates

Apply for a Lab and pay the required $375 per seat deposit at application through secure Stripe checkout. Jennifer's team then reviews readiness outside the website. A paid deposit is not acceptance: your seat is held provisionally and is confirmed only once your application is accepted. If you are not accepted, your deposit is refunded in full. If accepted, the remaining $375 per seat is due 7 calendar days before the Lab (or on acceptance, if later) and is collected by Jennifer's team with secure payment instructions — it is not charged automatically. Total price: $750 per person.

Private Build · Limited Availability Prefer a Focused Custom Build?

Custom AI Solution Build

Starting at $2,500
Limited client availability

I can lead the design, build, testing, and handoff of an approved custom solution. More complex integrations, additional functionality, and ongoing support are scoped separately.

You apply first. I review the work, agree scope and investment with you, and provide payment options only after approval.

What’s included

  • Private solution-discovery session
  • Problem and opportunity clarification
  • Solution ideation and scope definition
  • Tool and platform recommendations
  • Custom solution build
  • Testing and refinement
  • Deployment support
  • Implementation guidance
  • Handoff and basic usage documentation

Best for

Leaders and business owners who want a custom solution delivered quickly and prefer me to lead the build from concept through deployment.

All projects require approval before purchase. The $2,500 price covers one approved, clearly defined solution within the standard project scope. More complex solutions, third-party software costs, advanced integrations, ongoing maintenance, and expanded functionality may require a separate proposal.

Availability

I accept a limited number of custom builds at a time to preserve speed, attention, and implementation quality.

Need a more involved agent integrated into your workflow? Explore AI Agent Build.

Compare the Options

A side-by-side comparison of the Done With You cohort intensive and the Done For You custom build.
 Done With YouDone For You
FormatIn-person live cohort · College Station, TXPrivate custom engagement
Level of supportGuided implementationEnd-to-end build support
Who buildsParticipant builds with JenniferJennifer leads the build
CapacityMaximum 10 peopleLimited client availability
Time commitmentOne four-hour intensiveTimeline determined after approval
Project approvalReadiness review requiredProject approval required
Starting investment$750 per personStarting at $2,500
Payment options$375 deposit required at application; remaining $375 only if acceptedPrepaid in full after written scope approval

Is the Lab Right for You?

You should be comfortable using common online tools and have enough AI familiarity to participate in a working session. You do not need to be a developer.

You are a strong fit if

  • You are comfortable using common online tools.
  • You have enough AI familiarity to participate in a working session.
  • You have a real use case worth solving.
  • You are willing to narrow your focus to one solution.
  • You are prepared to make decisions and test the work.
  • You value practical execution more than theoretical education.

You may not be ready if

  • You need an introduction to computers or basic AI tools.
  • You have several unrelated projects rather than one use case.
  • You need a complex enterprise platform rather than a scoped Lab build.
  • You are not prepared to participate, provide feedback, or make decisions.
  • You do not yet have a meaningful use case.

The Method Inside the Room

These are the four stages of The Human-Driven AI Integration Method™. The depth is right-sized to a focused Lab rather than a company-wide engagement.

DIAGNOSE

Diagnose

Name the problem, current workflow, intended result, and readiness.

DESIGN

Design

Define the solution, information boundaries, human decisions, and success checks.

DEPLOY

Deploy

Build or configure the approved use case and test representative situations.

DRIVE

Drive

Establish the next practice, owner, and review steps needed after the Lab.

Jennifer Bennett, founder of Get Desky

Build With Jennifer Bennett

Jennifer Bennett helps leaders move from AI curiosity to practical implementation. Her work focuses on finding the point where business strategy, human judgment, and useful technology meet.

She does not begin with a tool. She begins with the problem that needs to be solved. From there, she helps clients reduce complexity, make informed decisions, and create AI solutions that support the way their businesses actually operate.

Check Readiness

Check Readiness and Choose Your Cohort

Tell me what you want to work on and select an available cohort. I need enough context to determine whether the use case fits the Lab. Describe the work without uploading passwords, customer records, or confidential material. Apply for a Lab and pay the required $375 per seat deposit at application through secure Stripe checkout. Jennifer's team then reviews readiness outside the website. A paid deposit is not acceptance: your seat is held provisionally and is confirmed only once your application is accepted. If you are not accepted, your deposit is refunded in full. If accepted, the remaining $375 per seat is due 7 calendar days before the Lab (or on acceptance, if later) and is collected by Jennifer's team with secure payment instructions — it is not charged automatically. Total price: $750 per person.

Step 1: complete your application. Step 2: secure checkout opens immediately for the required $375 per seat deposit. Your application is not submitted for review until the deposit payment succeeds. The deposit is part of the full $750 fee, not a discount.

Please enter your full name.

Please enter a valid email address.

Please enter a phone number we can reach you at.

Please enter your company name.

Please enter your role.

Optional.

Dates are announced as each cohort opens.

Please select a lab date.

Cohorts are capped at 10 participants total.

Enter a number of seats between 1 and 10.

Please select your technical comfort level.

Please list the AI platforms you currently use.

Please describe the one problem you want to solve.

Please describe the result you want.

Payment at application *

Payment summary

Offer selected
AI Integration Lab: Cohort Intensive
Selected date
Not yet selected
Number of seats
1
Price per participant
$750.00
Payment selection
Required 50% deposit
Due now at application
$375.00
Remaining balance (only if accepted)
$375.00
Payment terms
Collected by Jennifer's team after acceptance

The deposit is charged today when you complete checkout. It is part of the full $750 fee, not a discount, and is refunded in full if your application is not accepted.

Cancellation, transfer and refund terms (summary, pending legal review): Cancel before the 7-day cutoff for a full refund. After the cutoff there is no standard refund; you may transfer once to another cohort within 12 months with at least 48 hours’ notice, subject to fit and availability. If Get Desky cancels or reschedules to a date that does not suit you, you receive a full refund or a transfer offer. Rejected applicants receive a full deposit refund. Binding terms are confirmed in writing and remain subject to legal review.

Please acknowledge the cancellation and refund policy.

Please agree to the scope and terms.

Compare with Done For You

Nothing is charged today. Approved participants pay through Stripe’s secure checkout; this site never collects or stores card details.

Application Saved — Complete Your Deposit

Secure checkout is opening for your required $375 per seat deposit. Your application is not complete, and no seat is held, until the deposit payment succeeds. If checkout did not open, refresh the page and contact hello@getdesky.com — do not submit a second application.

Done For You

Apply for a Custom Build

Applications are reviewed before payment. Nothing is charged today.

Apply for review at no cost. Custom AI Solution Builds start at $2,500 and are scoped in writing first; payment is requested only after the scope is approved, and the full remaining amount is prepaid before development begins.

Please enter your full name.

Please enter a valid email address.

Please enter a phone number.

Please enter your company name.

Please enter your role.

Optional.

Please describe the business problem.

Please describe how this is handled today.

Please describe the solution you have in mind.

Please tell us who will use it.

Please list the platforms or data involved.

Please select a timeline.

Please select a budget range.

Please define what success looks like.

How would you like to proceed? *

Please acknowledge the review process.

Please agree to be contacted by Get Desky.

Compare with Done With You

Your Custom Build Application Has Been Received

Jennifer will review your proposed solution for fit, feasibility, complexity, and scope. Submission does not guarantee acceptance. If the project is approved, you will receive the recommended scope, timeline, and secure payment options.

Questions, Answered

Will I leave with a finished solution?
The goal is to build, test, and begin implementing a usable solution within the approved scope. Completion depends on preparation, complexity, access, integrations, and decisions made during the session.
Can I bring my team?
Yes, the cohort is priced per participant and capped at 10 people. Larger groups can discuss a private team Lab.
Are software subscriptions included?
Third-party subscriptions, hosting, API usage, and other external costs are separate unless expressly included in the written scope.
Is ongoing support included?
The Lab covers the stated session and preparation scope. Continued implementation, maintenance, or leadership is a separate conversation.
Does this establish our company’s AI governance?
No. The Lab demonstrates responsible practice around a defined use case; broader standards and executive ownership belong in the assessment or leadership engagement.
Jennifer Bennett

Start with one use case the business can learn from.

Bring a real problem and the willingness to work through it. I will help you make the scope, boundaries, and next steps clear.

Request a Private Team Lab