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Get your organization as ready for AI as your people already are.

RSFRB works inside companies of 50 to 500 people. We come on site, find where work stalls between your teams, and build what it takes to make the whole company AI-ready, then AI-enabled.

The 2026 readiness gap

Your people are ready for AI. The lines between them are where it stalls.

70%

of employees say they're personally ready for AI.

27%

of leaders say their organization is ready.

AI made each person faster, and the work still waits at the handoff. A job changes desks without its notes. A step has no clear owner. A decision sits until the weekly meeting. That's the organization's share of AI readiness, and it gets fixed by deciding who owns what.

Illustration: a ten-person org chartSeven of ten people are lit as ready. Three of eleven connections between them are connected. Both handoffs between teams are dashed.
Person ready Not yet Handoff connected Handoff that stallsIllustration of the two survey figures, not survey data.

Data: McKinsey AI Individual & Organizational Readiness Assessment panel survey, February to April 2026 (750 employees; 608 leaders), in “AI is changing work. Now it has to change the organization,” McKinsey Quarterly, October 2026. Chart: RSFRB.

What the research says

Three findings to read before 2027.

We read McKinsey's and Deloitte's 2026 research and kept what applies to a company your size.

Finding 1

The AI gap is now a size gap.

From 2025 to 2026, companies over $1 billion in revenue went from 27% to 40% scaling AI agents. Companies under $1 billion went from 21% to 22%.

2025202640%22%27%21%
Over $1 billion Under $1 billion

Data: McKinsey Global Surveys on the state of AI, 2025 and 2026 (2026: n = 1,719). Share of organizations at least scaling AI agents. Chart: RSFRB.

Finding 2

The productivity stays with the person.

Say AI made them more productive80%
Say it has reached operating profit37%

How many companies redesigned the way work moves between their people:

Nearly 3 in 4

AI leaders. Companies where AI drives 5% or more of operating profit

1 in 4

Everyone else. All other companies surveyed

Data: McKinsey Global Survey on the state of AI, May 4 to June 8, 2026 (n = 1,719). “AI leaders” are respondents who attribute at least 5% of EBIT (operating profit) to AI. Chart: RSFRB.

Finding 3

Decisions are the bottleneck.

Call AI's effect on decision-making, including who holds decision rights, very important64%
Say they're making great progress on it5%

Data: Deloitte 2026 Global Human Capital Trends, with Oxford Economics (3,000+ business and HR leaders, 15 countries). Chart: RSFRB.

At full scale

A 40,000-person airline rebuilt how work moves between its teams.

McKinsey & Company reports that LATAM Airlines rewired its organization around digital and AI. LATAM had cross-functional squads and McKinsey's AI unit beside it. Most companies under $1 billion have neither.

The method still works at 200 people: find where the work stalls, give every step an owner, then let software carry the routine. RSFRB brings it to companies of 50 to 500 and stays after the build.

Source: McKinsey & Company, “LATAM's reinvention at 35,000 feet,” case study, September 29, 2026. RSFRB is not affiliated with McKinsey & Company or LATAM Airlines.

LATAM, as McKinsey reports it

90%+

of flight changes, refunds and check-ins now happen automatically

What we do

AI readiness lives in the lines between your people.

We map every handoff in your operation, then connect each one to an owner, a rule and the software that carries it.

What stalls today

  • Chasing status updates
  • Re-keying the same data
  • No owner after a handoff
  • Decisions waiting on a meeting
  • AI tools with no rules
  • Records that don't match
  • Tools nobody connected

AI-ready

Readiness

  • A day in your building
  • Three live jobs followed
  • The yearly cost of the handoffs
  • Your readiness score

AI-ready

Preparedness

  • An owner for every step
  • Decision rights in writing
  • Rules for AI use
  • Keep, build or buy on every tool

AI-enabled

Adaptation

  • Workflows redesigned around owners
  • Checklists by stage
  • Training for each role

AI-enabled

Implementation

  • Software built around your crew
  • AI steps with a named approver
  • A quarterly re-measure
  • Ongoing support

AI-ready is readiness and preparedness. AI-enabled is adaptation and implementation.

The path

From AI-ready to AI-enabled, in four steps.

  1. 01

    Readiness

    Where you stand.

    The AI Readiness Diagnostic: one day in your building, the full report within 10 business days.

  2. 02

    Preparedness

    Who owns what.

    An owner and decision rights for every step, written rules for AI use, and the plan.

  3. 03

    Adaptation

    How the work moves now.

    Workflows redesigned around those owners, and each role trained on its part.

  4. 04

    Implementation

    Software that carries it.

    We build it around your crew, you own the code, and we stay on to run and re-measure it.

AI-ready

Steps 1 and 2. Starts with the AI Readiness Diagnostic.

AI-enabled

Steps 3 and 4. The build, and our support after it.

The AI Readiness Diagnostic

One day in your building. A plan in 10 business days.

  • Built for 50 to 500 people.
  • In your building, with your crew.
  • A plan in 10 business days.
  • We build it and stay.

Fits companies with 50 to 500 employees, 30 or more people in the workflow, three or more teams handing work to each other, and a decision-maker in the room. Travel anywhere in Texas is included.

Before we arrive
Your team answers a 60-second check-in each evening for a week.
On site
We sit with every team, follow three live jobs across every handoff, and walk the spreadsheets and software they run on. You get a same-day debrief.
The report
What the handoffs cost a year, desk by desk; your readiness score; an owner and decision rights for every step; rules for AI use; a keep, build or buy call on every tool; a ranked fix list; and one working screen built on a sample of your data.
Then you choose
Run the plan yourself, hire someone else, or have RSFRB build it. The plan is yours either way.

Who comes on site

The partners you'll work with.

  • Antonio Sampayo

    Technology & Strategy

  • Carlos Espinoza

    Sales & Organizational Leadership

  • Arturo Vizcaino

    Operations & Transaction Coordination

Questions

Before you book a call.

Isn't this research about big companies?

Mostly. McKinsey's and Deloitte's samples lean large, and "under $1 billion" covers firms far bigger than yours. We use their numbers for direction, then measure your operation with its own data.

Are you connected to McKinsey or Deloitte?

RSFRB is an independent firm. We read their published research, credit it wherever we use it, and apply it to companies their engagements are built for less often.

Will my people think this is about cutting jobs?

Your team gets a note on day one explaining the check-in. Leadership sees totals by team and role, never names. You decide where every freed hour goes.

Do we have to replace our software?

Your systems of record stay. The fix list marks every fix your current tools can make, and we build only what they can't.

How do you keep AI in check?

Writing the rules is part of getting ready: which steps AI can propose, who approves, and which steps stay with a person.

What does it cost?

We quote the diagnostic on a 30-minute call, once we understand your operation. If you go on to build with us, the diagnostic fee is credited to the build.

What happens after the quiz?

Email us and we'll send you the quiz. Once you've taken it, we send your score with what it means for your company.

Where do you work?

On site anywhere in Texas, with travel included. Outside Texas, ask us on the call.

70%27%

Employees personally ready for AI, and leaders who say their organization is. McKinsey readiness panel, February to April 2026.

Your people are ready. Let's get the organization there.