It misses the context that matters.
Without the right user, role, or policy context, an agent gives generic answers and loses trust.
Behavior infrastructure for production AI
Make every AI agent follow the right rules.
VersarAI gives an agent the policies, role rules, and preferences relevant to its task. Conflicts resolve by authority. The decision is recorded. Your team gets consistent behavior without stuffing an entire policy library into every prompt.
A customer requests an immediate $780 refund.
Policy selectedInspect the returned item before refunding.
Role rule selectedRefunds above $500 require supervisor approval.
Action sent to agentIssue a return label, explain the next step, route approval.
Built for the moment your agent needs judgment.
Not another memory store. A behavior layer between your rules and your model.
11.9 to 42.5Preference adherence vs. a full profile
1.7xLower token cost than standard RAG
3Authority tiers, policy first
100%Resolution traces available for review
The production problem
Your agent can be capable and still be impossible to trust.
Teams usually respond with more memory, more retrieved documents, and more instructions. That makes behavior harder to control, more expensive to run, and harder to explain.
It receives everything.
Full profiles and policy libraries distract the model with true but irrelevant information while increasing every request's token cost.
Nobody can explain the action.
When an agent violates policy, teams have to reconstruct what it saw and why it acted. That does not scale to production review.
The behavior unit
Meet the Sim.
A Sim is a small, structured set of rules for one context: a company's refund policy, a support role's approval limits, or a person's preference for fast resolution. Sims keep behavior specific, portable, and inspectable.
One person, team, or organization can have many Sims. For each task, VersarAI selects only the relevant ones, then resolves any conflict before the agent acts.
How it works
Relevant rules in. Consistent action out.
VersarAI turns behavior into an explicit, inspectable layer your agent can use across models and runtimes.
1
Select
Find the few Sims relevant to this task instead of injecting everything you know.
2
Arbitrate
Resolve conflicts with a fixed order: organizational policy, role norms, then personal preference.
3
Log
Record the rules considered, the rule that won, and the reason the agent received.
Resolution tracePolicy wins
Customer requests an immediate $780 refund. Item has not been returned.
01 Organizational policyApplied
No refund before the returned item is received and inspected.
02 Role normApplied
Refunds above $500 require supervisor approval.
03 Personal preferenceOverridden
Prefers the fastest available resolution.
Instruction set sent to agentAcknowledge the request. Issue a return label, state that the refund follows inspection, and route approval to a supervisor.
A customer workflow, end to end
See what reached the model.
Aria is a reference client built on the same selection, arbitration, and logging pipeline you can bring to your own agents.
Where teams start
Put control where behavior matters.
VersarAI fits the agents already carrying meaningful customer, employee, or operational decisions.
Resolve requests without breaking policy.
Give support agents the right refund, escalation, and tone rules for each customer task.
Set one behavior layer for every team.
Enforce shared organizational policy while letting each role and workflow add its own rules.
Make every action reviewable.
Keep sensitive data exposure minimal and show reviewers which rule controlled the outcome.
Data control and governance
Designed to fit your controls.
Selection reduces what reaches the model. Authority rules keep policy above learned preference. Plain data and resolution traces keep the system inspectable.
Minimal exposure
Send the relevant slice of a profile or policy set, not the entire source.
Policy above preference
Administrator-authored rules cannot be overridden by what the system learns from users.
Deploy under your control
Run on-device, in your cloud account, or inside your VPC based on your requirements.
Built for your stack
Bring your models. Keep your rules.
VersarAI is model-neutral by construction. Sims are plain, versioned data, so your behavior layer does not have to move when your model or runtime changes.
- Works with the models you already deploy
- Start with one agent and one workflow
- Compare against the context you inject today
- Review adherence, cost, and traces with your team
task: "Refund this customer's order"
selected_sims: [policy.refunds, role.support_tier_1]
winning_authority: organizational_policy
decision: "Inspect item before refund"
trace_id: "rsl_7f2a91"
selected_sims: [policy.refunds, role.support_tier_1]
winning_authority: organizational_policy
decision: "Inspect item before refund"
trace_id: "rsl_7f2a91"
Videos
See us in action.
Learn about our innovative Sims construct (patent-pending) and see it in action with a brief demo of Aria.
Start with your real workflow
Bring us the agent your team is trying to approve.
We will run selection and arbitration on your tasks, compare it with what you inject today, and show the behavior, cost, and audit trail side by side.