Companies spend enormous effort preparing recommendations, financial models and strategy. Far less attention goes to preparing for the actual people who will question, support, resist or reshape the decision.
Twins are permission-based AI models of specific people that capture patterns in how they think, evaluate information, communicate, make decisions and respond.
WethosAI launched the capability today as part of its Human Context Platform. The model combines a behavioral and cognitive baseline with approved information such as prior decisions, feedback, documents and business context.
WethosAI brings together specific-person modeling, stakeholder simulation and AI expert agents through Decision Simulation, so leaders can pressure-test how a consequential enterprise decision is likely to land before acting.
It is a rehearsal tool. Twins do not act for people, decide anything on their behalf, or guarantee how they will respond.
“AI is getting very good at understanding the business around a decision. What it does not understand is the actual people making it,” said Stuart McClure, Founder and CEO of WethosAI. “A strategy can make perfect sense on paper and still fail because the people involved see the risk, timing or tradeoffs differently. Twins give teams a way to rehearse those reactions before the stakes are real.”
Sprint Planning: Enterprise Integrations vs. Usage Dashboard
At the Sprint Planning meeting later today, I am going to propose prioritizing Enterprise Level integrations to bring valuable context into our app over a new dashboard to show each organization their usage. How would you react to this proposal, would you have any challenges?
At the Sprint Planning meeting later today, I am going to propose prioritizing Enterprise Level integrations to bring valuable context into our app over a new dashboard to show each organization their usage. How would you react to this proposal, would you have any challenges?
Darren ThomasSimulated3:12 PMHonestly, I would probably be pretty excited about prioritizing the integrations. Bringing in that enterprise-level context feels way more aligned with the big picture and creating real value for our users, whereas a usage dashboard feels a bit more like routine tracking.
That said, my main challenge or question would be around the timeline and complexity. Enterprise integrations can get messy and slow, and I always want to make sure we are focusing on speed of impact, so I would want to know how quickly we can ship a first version of those integrations without getting bogged down. We also need to make sure we are not totally leaving our users in the dark on their usage if that is something they are actively pressing us for, but otherwise, I am definitely leaning toward the integrations.
Honestly, I would probably be pretty excited about prioritizing the integrations. Bringing in that enterprise-level context feels way more aligned with the big picture and creating real value for our users, whereas a usage dashboard feels a bit more like routine tracking.
That said, my main challenge or question would be around the timeline and complexity. Enterprise integrations can get messy and slow, and I always want to make sure we are focusing on speed of impact, so I would want to know how quickly we can ship a first version of those integrations without getting bogged down. We also need to make sure we are not totally leaving our users in the dark on their usage if that is something they are actively pressing us for, but otherwise, I am definitely leaning toward the integrations.
The missing context in AI is the human
A decision that works on paper can still fail when the CFO reads the risk differently or the CIO doesn’t believe the organization can absorb the change on that timeline.
Decision Intelligence models the decision. WethosAI adds the human context of the specific people who will approve, influence or execute it.
That means modeling the specific CFO, CIO, CEO or other stakeholder involved rather than asking an LLM to role-play a generic version of that job.
Ask a generic LLM
“How will a CFO respond to this proposal?”
Typical response
A CFO may focus on ROI, cash flow, implementation costs and financial risk.
Ask WethosAI
“How is John likely to respond to this proposal?”
Human Context response
“John has a low tolerance for ambiguity, so skip the big-picture vision slides; he needs to see the concrete mechanics. He also tends to anchor heavily on initial risk factors, meaning he will likely zero in on the 18-month payback period immediately. Because he is highly analytical, pushing for a ‘yes’ today will likely trigger a ‘no’ just to buy time. Lead with a highly structured rollout plan and let him stress-test the data to build his own confidence.”
Rehearse the meeting before the meeting
Digital twins let engineers test changes to a machine or a plant before touching the real thing. WethosAI Twins apply the same idea to the room where the decision gets made.
Take an executive going in for approval on a $20 million technology transformation. She can test the recommendation against each leader’s Twin and see where support is likely and where objections or disagreement may emerge.
HeatherSimulated3:24 PMWe need to hit our Q3 targets hard, and my take is we should double down on LinkedIn. We have the largest follower base there, and it is the fastest way to get our message in front of decision-makers without spending on ads.
We need to hit our Q3 targets hard, and my take is we should double down on LinkedIn. We have the largest follower base there, and it is the fastest way to get our message in front of decision-makers without spending on ads.
I disagree with just picking the largest number. If you look at the engagement metrics from last month, YouTube comments and click-throughs are 15 percent higher per viewer compared to LinkedIn. We should prioritize the channel with the best conversion efficiency, not just the biggest pool.
I disagree with just picking the largest number. If you look at the engagement metrics from last month, YouTube comments and click-throughs are 15 percent higher per viewer compared to LinkedIn. We should prioritize the channel with the best conversion efficiency, not just the biggest pool.
Darren ThomasSimulated3:25 PMI love the idea of leaning into YouTube! We can really explore some abstract storytelling and show the broader possibilities of our product vision through video. It feels much more innovative than just posting text on LinkedIn.
I love the idea of leaning into YouTube! We can really explore some abstract storytelling and show the broader possibilities of our product vision through video. It feels much more innovative than just posting text on LinkedIn.
Where WethosAI is being applied
Healthcare
Rehearse hospital-wide changes against modeled clinical, technology, financial and operating leaders responsible for approving and executing them.
Enterprise AI
Test how actual executives and functional leaders may respond before a major AI initiative reaches the organization.
Human + AI workforce design
Model employees alongside AI agents to test new roles, decision rights, workflows and likely friction before changing how work gets done.
Cybersecurity and resilience exercises
Run tabletops repeatedly using modeled executives and corporate stakeholders instead of generic personas, then test how the actual leadership team may respond to a cyberattack, operational disruption or crisis.
M&A
Model executives and stakeholders to test integration decisions, leadership changes, communications and likely resistance before close or during integration.
C-suite first 100 days
Help incoming executives prepare for key decisions, communications and stakeholder interactions with the actual people they are inheriting.
Higher education
Turn static case studies into simulations where students make decisions against modeled real people rather than fictional personas.
Gartner predicts that by 2027, 50% of business decisions will be augmented or automated by AI agents for decision intelligence.1 Gartner also predicts that by 2029, explicitly modeled business decisions will be five times more trusted and 80% faster than ungoverned decisions.2
WethosAI is building Human Context as a distinct layer around those modeled decisions, adding context about the specific people who will approve, influence or execute them.
Built on four decades of behavioral science
Every Twin starts with a behavioral and cognitive baseline generated through WethosAI’s proprietary Human Context models. With the individual’s permission, the model can become more specific as approved decisions, feedback, documents and business context are added.
The system models patterns and probabilities. It makes no diagnostic or clinical claims.
What builds a Twin
Behavioral + cognitive baseline
Approved decisions + feedback
Documents + business context
Twin
Consent and control
The individual controls what contributes to the model and whether the Twin remains active, while access is governed through authorized enterprise permissions.
Twins do not act autonomously, assume the person’s authority or create synthetic voice or video impersonations.
WethosAI is SOC 2 Type II certified, supports SSO and role-based access controls, and does not use customer data to train shared models.
Availability
Twins are available now as part of the WethosAI Human Context Platform. Organizations can use WethosAI directly through its SaaS platform, connect it to enterprise workflows or embed Human Context capabilities through APIs and partner solutions.
Follow WethosAI on LinkedIn at linkedin.com/company/wethos-ai.
About WethosAI
WethosAI is the Human Context Platform. It models how specific leaders, teams and stakeholders think, communicate, decide and respond so organizations can test the human side of consequential decisions before acting.
Built on more than four decades of behavioral science and proprietary Human Context models, WethosAI models probabilities, not diagnoses. Judgment and authority remain with people.
WethosAI provides Human Context for Better Decisions.
WethosAI is headquartered in Irvine, California. Learn more at wethos.ai.
Media Contact
Heather Barnett
heather@wethos.ai