intoMO

intoMO

We help organizations turn AI potential into business reality—with decisions led by people, not algorithms.



We help organizations turn AI potential into business reality—with decisions led by people, not algorithms.



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intoMO

We help organizations turn AI potential into business reality—with decisions led by people, not algorithms.



Hero background

About Us

About Us

About Us

We identify high-value AI opportunities, design human-in-the-loop systems, and accelerate delivery.

Many organizations see AI’s promise—but struggle to turn it into outcomes people trust and sustain.

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Years of Leadership Experience

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Years of Leadership Experience

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Years of Leadership Experience

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AI & Product Initiatives Delivered

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AI & Product Initiatives Delivered

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AI & Product Initiatives Delivered

$1B

$1B

In new revenue streams influenced

We build long-term

Our services cover the full AI lifecycle— from opportunity discovery to delivery.

01.

AI Opportunity Discovery

We identify the highest-value AI opportunities by aligning business goals, decision workflows, and data realities—so teams build the right things first.

02.

Human-Centered AI Design

We design AI-assisted workflows with humans in the loop, ensuring clarity, trust, and control in high-impact decision-making.

03.

AI Pilot & Milestone Delivery

We rapidly deliver milestone-one AI solutions— prototypes, pilots, and production-ready concepts—built to prove value early.

04.

Operationalizing AI at Scale

We help teams move from pilots to production by embedding AI into real workflows, governance models, and operating rhythms.

Where Companies
Struggle with AI…

With AI, companies face a common set of obstacles:

Early-stage AI efforts lack a systematic way to scope business impact

Processes and data are fragmented across tools, teams, and legacy systems

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Technical partners push code before understanding decision workflows

Internal teams lack the time and expertise to operationalize AI

Vendor-led approaches feel slow, expensive, or disconnected from the business

Case
Studies

Practical case studies on identifying high-value AI opportunities and turning them into real outcomes.

Some case studies reflect work led by IntoMO’s founders in prior roles before the formation of IntoMO.

Some case studies reflect work led by IntoMO’s founders in prior roles before the formation of IntoMO.

Some case studies reflect work led by IntoMO’s founders in prior roles before the formation of IntoMO.

Our Approach:

IntoMO is an AI-native consultancy built around three principles:

01.

Intent Fidelity, Keeping Humans in the Loop:

We build AI that reflects your business—its rules, workflows, language, and judgment—keeping humans in control. The result is explainable, aligned systems that act as force multipliers, not black boxes.

02.

AI-Assisted Discovery and Delivery:

We use AI-native tools to accelerate discovery, solution design, and delivery—grounded in client context and validated by humans—enabling faster iteration with tighter alignment.

03.

Principal-led Collaboration:

Clients work directly with senior practitioners from day one through delivery, ensuring transparency, shared ownership, and informed decision-making throughout the engagement.

Why companies hire IntoMO

A senior-led AI practice, built for real outcomes

Companies hire IntoMO when they want AI initiatives tied to real business impact—designed around how decisions are actually made and led by experienced practitioners from day one.

Why companies hire IntoMO

A senior-led AI practice, built for real outcomes

Companies hire IntoMO when they want AI initiatives tied to real business impact—designed around how decisions are actually made and led by experienced practitioners from day one.

100% senior-led engagements

No handoffs to junior teams or offshore delivery

100% senior-led engagements

No handoffs to junior teams or offshore delivery

100% senior-led engagements

No handoffs to junior teams or offshore delivery

AI initiatives tied to real KPIs

Revenue, cost, risk, or cycle-time impact — not demos

AI designed around real workflows

Built around how decisions are actually made, not abstract models

From idea → operational AI

We scope, design, and help teams operationalize AI end to end

From idea → operational AI

We scope, design, and help teams operationalize AI end to end

From idea → operational AI

We scope, design, and help teams operationalize AI end to end

Where Companies Struggle with AI…

With AI, companies face a common set of obstacles:

Early-stage AI efforts lack a systematic way to scope business impact

Processes and data are fragmented across tools, teams, and legacy systems

+

Technical partners push code before understanding decision workflows

Internal teams lack the time and expertise to operationalize AI

Vendor-led approaches feel slow, expensive, or disconnected from the business

intoMOs work exceeded my expectations. It didnt just reflect how I think it made my thinking clearer, more concrete, and easier to bring into real CEO conversations. I walked out with absolute confidence in the direction, the first product were building, and what comes next.

Founder and CEO, Prospero

Jennifer Mackin

Founder and CEO, Prospero

intoMOs work exceeded my expectations. It didnt just reflect how I think it made my thinking clearer, more concrete, and easier to bring into real CEO conversations. I walked out with absolute confidence in the direction, the first product were building, and what comes next.

Founder and CEO, Prospero

Jennifer Mackin

Founder and CEO, Prospero

intoMOs work exceeded my expectations. It didnt just reflect how I think it made my thinking clearer, more concrete, and easier to bring into real CEO conversations. I walked out with absolute confidence in the direction, the first product were building, and what comes next.

Founder and CEO, Prospero

Jennifer Mackin

Founder and CEO, Prospero

FAQ

FAQ

Frequently asked
questions

How does your AI engagement typically work?

We start with a focused discovery phase to understand business goals, user workflows, and data realities. From there, we define a clear AI opportunity, align stakeholders around a True North, and deliver a milestone-one solution that proves value early and guides what comes next.

Do you build AI solutions or just provide strategy?

We do both. Our work spans discovery, design, and delivery—ensuring strategy is grounded in execution and execution is guided by strategy.

How do you ensure humans stay in the loop?

We design AI systems around decision points, not just automation. Humans remain accountable for judgment, oversight, and outcomes at every critical step.

How long does it take to see results?

Most engagements deliver a meaningful milestone—prototype, pilot, or production-ready capability—within weeks, not months.

How does your AI engagement typically work?

We start with a focused discovery phase to understand business goals, user workflows, and data realities. From there, we define a clear AI opportunity, align stakeholders around a True North, and deliver a milestone-one solution that proves value early and guides what comes next.

Do you build AI solutions or just provide strategy?

We do both. Our work spans discovery, design, and delivery—ensuring strategy is grounded in execution and execution is guided by strategy.

How do you ensure humans stay in the loop?

We design AI systems around decision points, not just automation. Humans remain accountable for judgment, oversight, and outcomes at every critical step.

How long does it take to see results?

Most engagements deliver a meaningful milestone—prototype, pilot, or production-ready capability—within weeks, not months.

How does your AI engagement typically work?

We start with a focused discovery phase to understand business goals, user workflows, and data realities. From there, we define a clear AI opportunity, align stakeholders around a True North, and deliver a milestone-one solution that proves value early and guides what comes next.

Do you build AI solutions or just provide strategy?

We do both. Our work spans discovery, design, and delivery—ensuring strategy is grounded in execution and execution is guided by strategy.

How do you ensure humans stay in the loop?

We design AI systems around decision points, not just automation. Humans remain accountable for judgment, oversight, and outcomes at every critical step.

How long does it take to see results?

Most engagements deliver a meaningful milestone—prototype, pilot, or production-ready capability—within weeks, not months.