Today, Quiq is launching Verified Intelligence, a three-part control layer that gives enterprise brands the guardrails, simulation tools, and decision visibility they need to run agentic AI confidently in production.
You can’t manage what you can’t see, and you can’t trust what you can’t test
The pressure to deploy agentic AI is real. Boards are asking. CEOs are asking. And the market is full of vendors willing to show you a fantastic demo, then hand you an AI agent and wish you luck.
What most of those vendors won’t tell you is what happens when the AI goes off-script. What it says when a customer tries to manipulate it. What decision it made three steps before it gave the wrong answer. Whether it will behave the same way in production as it did in your demo environment.
That gap between deploying AI and controlling AI is where brand incidents happen. And it is the problem that Verified Intelligence was built to close.
Guardrails that protect before anything reaches a customer
Most agentic AI platforms trust the model to get it right. Quiq adds a second layer. Before any response reaches a customer, Verify Claim cross-references the AI’s answer against your actual data and knowledge base. Process Guides encode your brand standards, tone, and escalation rules directly into the AI’s behavior. Guardrails protect your brand before every response goes out.
This matters more as AI takes on more complex, multi-step interactions. The more autonomous the AI, the more important it is that every action it takes has been checked against the rules you care about.
Simulations that prove behavior before go-live
Testing a single conversation is not testing AI. Real customer interactions are messy, multi-turn, and unpredictable. Customers go off-topic, they try to game the system, and ask about things your AI was never designed to handle.
Quiq’s simulation capability lets you run hundreds of realistic conversations before a single customer interacts with your AI agent, which allows for edge cases to get caught. Policy failures surface in a test environment, not a production one. Regressions from a knowledge base update show up before they cause damage.
Beyond broad simulation runs, teams can define specific tests the simulation must pass. There are two moments when this matters most. The first is when you are satisfied with the agent’s behavior and want to lock it in as a regression test that confirms the AI always behaves that way going forward. The second is adding a test for an exact scenario so it can never silently occur.
The teams that deploy AI confidently are the ones that know how it behaves before it goes live, not the ones that find out afterward.
Visibility into every decision, not just the outcome
When something goes wrong with an AI interaction, the question you need to answer is why. Aggregate outcomes do not answer that question. They tell you something went wrong. They do not tell you which step in the chain caused it.
Quiq shows you the step-by-step reasoning behind every individual interaction. Every tool call, every data lookup, every decision point, visible, in sequence, for every conversation. 100% of AI decisions are visible and auditable. When a team member asks why the AI said something, you can show them. When a regulator asks how your AI makes decisions, you have the answer.
Agentic AI your team can trust
Move on AI confidently, without the compliance or brand risk. Verified Intelligence is built into how Quiq works. Every AI Agent deployment on the platform inherits guardrails, simulation capability, and full decision visibility from day one.
The brands seeing the best results with agentic AI are not the ones that moved the fastest. They are the ones that moved with confidence.
