Riverflex
AI workforce strategy

AI workforce strategy

Turn AI workforce strategy from opinion-led to evidence-led

Most organisations are making AI workforce decisions based on instinct. Riverflex provides data-driven assessment of how AI is impacting workforce productivity across roles, departments, brands, and geographies. By combining our methodology with insights drawn from our network of pros, partners, and external academic research, we give you the evidence base to act with confidence. Find out more

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Why AI Workforce creates strategic advantage

Six reasons the AI Workforce Impact Assessment changes the conversation at the top of your organisation.

Hours unlocked, quantified by role

Hours unlocked, quantified by role

See exactly where AI creates capacity down to specific functions, roles and geographies, so you can prioritise investment with precision.

A defensible view for the board

A defensible view for the board

Replace anecdote with analysis. Arrive in the boardroom with a quantified opportunity and a rigorous methodology behind every number.

A prioritisation lens for what's next

A prioritisation lens for what's next

Know where to invest first in capability building, workflow redesign and governance, rather than spreading effort thinly across the organisation.

AI penetration scores by function

AI penetration scores by function

Understand which roles are already exposed to AI and which are underutilising it, revealing both risk and unrealised opportunity.

Capability shift indicators

Capability shift indicators

Identify where skills requirements are changing fastest, so workforce development can get ahead of the curve rather than react to it.

Foundation for downstream strategy

Foundation for downstream strategy

The assessment becomes the evidence base for everything that follows, from reskilling programmes to org design to agentic AI deployment.

Why AI workforce strategies stall

No evidence base for where AI investment pays back

No evidence base for where AI investment pays back

Leaders are being asked to commit significant resources to AI transformation without the data to show which functions will see the greatest return or when.

Inability to prioritise functions, roles or geographies

Inability to prioritise functions, roles or geographies

With AI impacting almost every part of the business, there's no clear signal about where to focus first, leading to either inertia or scattered effort.

Difficulty making the case for the scale of change required

Difficulty making the case for the scale of change required

Without quantified impact, it's almost impossible to secure board-level mandate for the workforce transformation that AI actually demands.

Our approach

Rigorous, fast, and built for executive audiences.

Most organisations cannot compare their 
workforce to external AI research 
because their job titles don't map 
to any standard classification.

Map workforce to the evidence

Most organisations cannot compare their workforce to external AI research because their job titles don't map to any standard classification.

We translate your organisation's roles into standard occupational classifications, making them directly comparable to the external research base, without touching any individual employee data.

Most AI assessments stop at the function level, 
leaving leaders without the granularity needed 
to make defensible investment decisions.

Run the analysis

Most AI assessments stop at the function level, leaving leaders without the granularity needed to make defensible investment decisions.

We run the impact analysis using our Network of Pros, Claude, benchmarking role exposure against insights from Anthropic Economic Research, MIT, Harvard, McKinsey, the World Economic Forum and GitHub Research.

Most AI analyses produce findings that are 
credible to data teams but impossible to 
defend in a boardroom.

Synthesise into an executive output

Most AI analyses produce findings that are credible to data teams but impossible to defend in a boardroom.

We turn the analysis into a clear, board-ready report structured around the four questions your leadership is most likely facing: where AI is producing value, where it is falling short, what capability risks are emerging, and where investment should go next.

How we deliver AI workforce strategy

AI Workforce Impact Assessment

Most organisations cannot answer what AI is worth across their workforce. This assessment changes that by quantifying exactly where AI is creating capacity, shifting capabilities, and unlocking hours across your roles, functions, and geographies.

Duration: approximately 3-4 weeks

Value:

A data-driven assessment of how AI is impacting workforce productivity across roles, departments, brands, and geographies, turning workforce AI strategy from opinion-led to evidence-led.

How it works

  1. Map your organisation's roles to standard occupational classifications.
  2. Run the analysis using Claude with no personal or identifiable employee data required.
  3. Benchmark against Anthropic Economic Research, MIT, Harvard, McKinsey, WEF and GitHub.
  4. Synthesise the findings into an executive-ready output.

Privacy & data assurance
No personal or identifiable employee data is required, stored, retained or used for model training at any point in the process.

Outcome

A board-ready report with quantified productivity opportunity by role, AI penetration scores by function, capability shift indicators, cost savings potential, and a prioritisation lens for downstream investment in capability building, workflow redesign, and governance.

Designing the Future Agentic Enterprise

Most leadership teams do not yet have a shared view of what the shift to agentic AI means for their workforce or a concrete plan for how to get ahead of it. This working session closes that gap in a single day.

Duration: one day with approximately 1-2 weeks of preparation.

A one-day, leadership-level session combining morning keynotes from our practitioner network, including partners from Anthropic, Unilever, and Databricks, with an afternoon working session translating the workforce impact assessment into a concrete transformation roadmap

How it works

  • Morning keynotes from our partner network: Anthropic, Unilever, Databricks and others.
  • Afternoon working session: translating workforce impact assessment insights into your specific context.
  • Structured working exercises that turn discussion into commitments
  • Designed and facilitated by Riverflex.

You'll leave with solutions for

  • Leadership misalignment on what agentic AI means for the workforce.
  • Transformation roadmaps over-indexed on tooling and under-indexed on people.
  • Difficulty connecting external trends to internal priorities.

Outcome

An aligned executive vision for the future of work in your organisation, a prioritised set of next steps for your workforce transformation roadmap, and a shared leadership position on what the agentic enterprise means for your specific context. Leadership leaves the room with a starting point, rather than another report to act on later.

Grounded in the leading external evidence

Our methodology combines Riverflex's proprietary analytical framework with insights drawn from the most rigorous external research on AI and the future of work.

RESEARCH PARTNERS

  • Anthropic Economic Research
  • MIT
  • Harvard
  • Microsoft Research
  • McKinsey Global Institute
  • World Economic Forum
  • GitHub

This external research base is supplemented by insights from our network of practitioners and partners, giving our assessments both academic rigour and real-world applicability.

Discover how weve helped courageous leaders augment intelligence

Start with the evidence. Design what comes next. Book a 30 min scoping call

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FAQ

Who is an AI Workforce Impact Assessment for?

It is designed for organisations that need to make a credible case for AI workforce investment, typically CHROs, Chief People Officers, Chief Transformation Officers or leadership teams preparing a board-level AI strategy.

Do we need to share employee data?

No. The assessment requires no personal or identifiable employee data at any stage. We work from role classifications, not individual records. Nothing is stored, retained, or used for model training.

How long does the AI Workforce Assessment take?

Approximately 3–4 weeks from kickoff to final output. The working session (Service 2) takes one day, plus 1–2 weeks of preparation and speaker coordination.

Can we do the working session without the assessment?

Yes, though the two work best in sequence. The assessment provides the evidence base that makes the working session far more productive and grounded in your specific organisational context.

What does the final output of an AI Workforce Assesment?

A boardroom-ready document with quantified opportunity, role-by-role exposure analysis, AI penetration scores, capability shift indicators, and a prioritisation framework for downstream investment decisions.

How do I get started?

Book a 30-minute scoping call. We will discuss your organisation's current position and what would make most sense as a first step. You can book via our website, call us directly, or email info@riverflex.com.