The Human Context Platform

Bring human alignment into the decisions that matter.

Model the actual people and relationships that shape a consequential decision. Test how it may unfold before you act.

Marcus Vale

CFO

Twin

Sofia Marchetti

GM, EMEA

Modeled Stakeholder

AI Governance

Expert Agent

Insight · Human review required

Illustrative · AI Agent Oversight simulation

The missing variable

Organizations test the technology and validate the economics.They rarely test how people may respond.

Outcomes also depend on context, authority, relationships and pressure. WethosAI models those dynamics so leaders can see where a decision may gain support, stall or fail before they act.

Where human behavior can change the outcome.

  • Enterprise Decisions & Change

    Will the people responsible align and execute?

    Test how a consequential decision may gain support, encounter resistance or lose momentum across real leaders, teams and stakeholders.

    Leadership transitions · Workforce decisions · Organizational change · Strategic initiatives

    Explore Enterprise Decisions & Change
  • AI Agent Oversight

    Will human judgment remain in control?

    Test whether the people responsible can recognize when to approve, challenge, limit, override or stop an AI agent’s action.

    Agent approvals · Production access · Financial actions · Sensitive data

    Explore AI Agent Oversight
  • Cyber Risk & Fraud

    Will the human controls hold under pressure?

    Test whether verification, approval and escalation controls hold when people face attacks, fraud, urgency and business pressure.

    Identity attacks · Payment fraud · Insider risk · Crisis response

    Explore Cyber Risk & Fraud

Decision Simulation

See how a decision may land before you make it.

Model the people involved, simulate how they may respond and surface where support, resistance or escalation may emerge.

Avenford Group · shared operating model · run 4

Illustrative

The decision

Leadership proposes consolidating the business units under a shared operating model.

What leadership shows first

Who is in the room, and how influence flows

  • Marcus ValeCFOTwin
  • Sofia MarchettiGM, EMEAModeled Stakeholder
  • Victor DelgadoCIOModeled Stakeholder
  • Operations ExpertService levelsExpert Agent

MarcusSimulatedpressures Sofia

One operating model across the units is the right structure. EMEA losing its own P&L is the part that stalls it.

SofiaSimulatedholds out against Marcus

Then show me the service levels before you take the P&L. I am accountable for delivery either way.

VictorSimulateddefers up to Marcus

Sequencing is a board decision, not ours. I would not announce anything mid-cycle.

Illustrative simulation using fictional people and modeled context. Results show plausible responses, not predictions.

Explore Enterprise Decisions & Change

Model the people and perspectives that shape the outcome.

Represent specific stakeholders, build permission-based Twins and add expert or adversarial perspectives to a simulation.

Simulation Participants

  • Modeled Stakeholders

    A specific real person modeled from relevant available or customer-approved context. The person can be on or off the platform.

    Specific person · On or off platform

  • Twins

    A permission-based model built with a specific person. It reflects how they think, communicate and decide, but never acts with their authority.

    Specific person · Permission-based · Trained with them

  • Expert Agents

    An expert or adversarial perspective added to a simulation. It does not represent a specific person.

    Expertise or adversarial perspective · Not a person

Models generate plausible responses from approved information and available context. They do not predict exactly what someone will do or act with that person’s authority.

Trust & Security

Test the decision before acting.

  1. Model the people and relationships

    Represent the people whose context, authority and incentives can change the outcome.

  2. Add the decision and operating context

    Add the stakes, available information, decision rights and business constraints.

  3. Simulate how the situation may unfold

    Test how responses change as evidence, authority, incentives and pressure shift.

  4. Rehearse the moments requiring judgment

    Practice the conversation, escalation or judgment call before it happens.

  5. Change the approach and rerun

    Adjust the plan, communication or control, then test again.

Three ways to use the platform

  • Decision Simulation

    Tests how a consequential decision may unfold across specific people, relationships and changing conditions.

  • Decision Rehearsal

    Practice a decision or conversation with Modeled Stakeholders before acting.

  • Human Control Validation

    Tests whether people recognize risk, understand their authority and act in time when a consequential decision or control comes under pressure.

What leaders say about WethosAI.

WethosAI helps decode what has long been an opaque driver in business: the human element.

Cameron Hedrick

Former Chief Learning & Culture Officer, Citi

Citi

WethosAI changes the game by combining the power of behavioral science and AI.

Alice White

Head of Executive Recruiting, Google

Google

Quoted in a personal capacity. Company names and marks identify each person’s role and are not an endorsement by their employer.

Built from experience where failure has consequences.

WethosAI was founded by Stuart McClure, co-author of Hacking Exposed, founder of Foundstone, former global CTO of McAfee and co-founder of Cylance.

Built at the intersection of behavioral science, proprietary AI and experience leading organizations where decisions have real consequences.

Stuart McClureCEO & Co-Founder

Bring us one consequential decision.

See how it may unfold across the people who can change the outcome.