Reads the intent. Decides the next action. Picks the agent. Enforces the rules.
Multi-agent orchestration
Conversation, reasoning, execution, coordinated as a single WorkStream, not stitched together at runtime.
A team of Agents, not a chatbot
Each agent is purpose-built. VeroCortex coordinates them, shares context, resolves conflicts, and drives outcomes without human handoffs between steps.
VeroCortex™
Multi-agent reasoning engine
A representative team, every WorkStream composes its own.
Runs any WorkStream
Finance, Sales, Support, Marketing, People Ops, IT. Same runtime, same governance, same audit trail.
Finance
Procure-to-Pay: req → PO → invoice → payment, touchless.
Agent cascade
Governance & guardrails
Policies, approvals, and audit are part of every WorkStream from day one, not a post-processing add-on.
Layered guardrails
Policy enforced close to the action, not after the fact.
Immutable Execution Ledger
Every decision, artifact, and approval captured for audit.
Approved before go-live
Human approval on every configuration change. No silent shipping.
Quality & Trust
Versioned WorkStreams, an eval framework for model swaps, redacted logs, and detailed execution traces, the operational hygiene enterprise AI actually needs.
Versioning & rollback
Every WorkStream, agent, and Playbook is versioned. Roll back a bad change in one click and keep the audit trail intact.
Eval & regression tests
Test agent output against a baseline before you swap models or ship a change. Catch quality drift before production does.
Test with sample data
Run WorkStreams against synthetic or imported data, generated by Veroli, uploaded from a spreadsheet, or pulled from a connected system.
PII masking & redaction
Sensitive fields are masked in logs, traces, and execution history. Redaction is enforced at the model boundary.
Detailed execution logs
Per-run, per-node logs for every WorkStream. Sampled agent traces give you the reasoning behind each decision.
Design, test, deploy
VeroCortex does not shop for a model on cost or latency while your work is running. It reads intent, resolves the next action, selects the agent that owns it, and holds that action to the rules your platform developers configured in the studios.
Read the intent
Interpret what the person or the incoming event is actually asking for, in the context of the WorkStream already running.
Determine the next action
Resolve which action the Playbook calls for next, given the stage the WorkStream is in and the evidence collected so far.
Select the agent
Hand the action to the agent configured to perform it, with the model, parameters, and guardrails set for that agent at design time.
Hold it to the rules
Check the action against the harnesses and business rules the platform developers configured in the studios before anything executes.
Every agent is configured, tested, and evaluated before release. The developer states the business outcome in Agent Studio, the evaluation engine tests the agent against it in three layers, and only a passing agent is released for production use.
Configure at design time
In Agent Studio the developer sets the agent's model, LLM parameters, guardrails, and its dos and don'ts, and describes the business outcome it must deliver.
Evaluate in three layers
The agent evaluation engine uses that described outcome to test and score the agent across three layers of evaluation.
Release only on a pass
An agent cannot be deployed until it passes the evaluation criteria, which is how behavior stays expected and deterministic in production.
Multi-model reasoning
VeroTX supports frontier, long-context, fast, and private or on-prem models, all managed for you. The model an agent uses is chosen when that agent is configured in Agent Studio, alongside its parameters and guardrails, not negotiated mid-run.
Frontier reasoning
Deep, multi-step decisions
Long-context
Documents & extraction
Fast & interactive
Real-time Veroli turns
Private / on-prem
Sensitive & regulated data
Capability
Each agent is matched at design time to a model with the reasoning depth, context window, and tool-use its task needs.
Tuned parameters and guardrails
LLM parameters, guardrails, and the agent's dos and don'ts are set in Agent Studio and travel with the agent.
Data sensitivity
Agents handling PII and regulated data are configured against private or on-prem models, policy-enforced.
Managed model access
VeroTX provisions and operates model access under your data policies, with no provider accounts or keys for your team to manage.
Portable Playbooks
Change an agent's model and re-evaluate it without rewriting your WorkStreams or losing audit history.
Enterprise-ready
Enterprise-grade security
RBAC, immutable audit trails, and continuous compliance evidence.
RBAC & least-privilege
Every agent action scoped to a role and a policy.
Execution Ledger
Immutable audit of every decision and artifact.
Bring Your Own Cloud
AWS, GCP, Azure, OCI, private cloud, or on-prem.
Data residency
Keep data and keys inside your account or region.
Observability
Traces, metrics, and cost per WorkStream, out of the box.
AI addendum on request
AI-specific contractual addendum and privacy policy shared under NDA.
Deeper detail lives in Platform Architecture.
One engine. Every function. Governance built in.