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Put AI to work on growth, margin, and scale.

Grove helps founder-led leadership teams identify where AI can reduce cost, create capacity, or support revenue growth—then leads the changes to the work, tools, roles, and management routines needed to put it into practice.

Fragmented work moves through a bounded AI-supported step, named human review, an owned workflow, and a result that leadership can review.

AI is most useful when the business needs a new way to grow.

The trigger is rarely technology alone. It is usually a transition: growth is stretching the operation, margins are under pressure, expert time is scarce, or the business needs more capacity without adding overhead at the same rate.

Some companies already have scattered AI experiments. Others are deciding where to begin. The same question comes first: where could AI improve the economics of the business enough to justify changing the work?

01

Scale without matching overhead

Customer, coordination, and administrative work are rising faster than the team can absorb.

02

Protect margin and scarce expertise

High-cost people spend too much time on repeat research, drafting, preparation, and review.

03

Make a transition work

Growth, acquisition, a new leadership structure, or another major change requires faster and more consistent ways of working.

Start with the result. Change the work. Build the habits.

Grove does not begin with a tool. We begin with what leadership wants to improve, find the work where AI may create meaningful leverage, and help the organization put the change into practice.

01

Set the business target

Choose the cost, capacity, revenue, margin, quality, or service outcome leadership wants to improve—and how it will be observed.

02

Redesign and test the work

Find the leverage point, configure approved tools, and make inputs, handoffs, human review, guardrails, and ownership explicit.

03

Lead adoption and improvement

Explain the change, train the team, test it in real work, review the result, fix what breaks, and expand only when the evidence supports it.

Leadership sets the outcome. The people who own the work stay involved. Human review, responsible use, and a clear measure remain part of the operating design.

Choose where AI is worth testing before you build.

When there is a fit, the next step is a two-week AI Opportunity Review. Grove works with leadership and the people closest to the work to clarify the objectives, identify where AI could apply, compare the strongest opportunities, and produce a decision brief and plan for a bounded pilot.

Book a free consultation
  1. 01

    Free consultation

    Clarify the business challenge and whether Grove is the right fit.

  2. 02

    AI Opportunity Review

    Use a two-week discovery to compare practical opportunities and recommend the right next move.

  3. 03

    Bounded pilot

    Test an approved use in real work through short build, measure, and learn cycles.

  4. 04

    Implementation and adoption

    Expand what works and establish the ownership, skills, and routines needed to sustain it.

What leadership receives

  1. 01

    A focused set of practical opportunities tied to the business objectives leadership wants to advance

  2. 02

    A comparison of business value, feasibility, adoption needs, risks, and open questions

  3. 03

    A recommended first pilot with a clear scope, owner, measure, human review, and safeguards—or a reason not to proceed yet

  4. 04

    A leadership decision brief and plan for the recommended next move

After the Review

Leadership chooses whether to run a bounded pilot, prepare or repair prerequisites, use an existing tool or specialist, or stop. A pilot is a separate next step—not part of the two-week Review.

Business opportunities are compared through business value, feasibility, adoption, and risk before leadership chooses to proceed, repair, or stop.
Mike Redmer, founder of Grove

AI implementation is business change, not a software handoff.

Grove brings operating judgment, hands-on implementation, and change leadership into the same engagement. Mike Redmer leads the work with leadership, managers, and the people responsible for the workflow.

75%+less recurring preparation time in an AI-assisted quoting process from Mike's prior operating work

When engineering, security, privacy, legal, compliance, or data expertise is required, Grove works with the qualified client owner or specialist.

Where could AI create leverage in your business?

Bring a growth, margin, capacity, or transition challenge. We'll talk through what is changing and whether AI—and Grove—may be a fit.

Book a free consultationA short fit conversation with Mike Redmer.