IQ Chat gives teams one place to use leading AI models, bring in relevant company context, and create editable deliverables, while IT manages identity, connector access, audit, routing, usage, and cost visibility through one administrative layer.
Choice without sprawl. One workspace for model access, company context, and finished work.
Follow the work from model choice to connected context, finished files, and the controls around the workflow.
Switch models per conversation — and reach hundreds more through OpenRouter.
IQ Chat brings model access, company context, editable deliverables, and enterprise administration into one workspace — so teams can keep moving while IT establishes consistent controls.
Work with supported models, bring in relevant company context, and create documents, spreadsheets, presentations, and analysis in the same workspace.
Manage the workspace through centralized identity, per-user connector controls, model operations, audit logs, and usage and cost visibility.
Teams get a practical path to finished work. IT gets an operating layer it can support.
Across functions and markets, teams return to the same knowledge-work patterns. IQ Chat brings current research, connected work context, and editable output into one workspace.
Bring together current sources and connected internal material, surface the trade-offs, and make the next step clear.
Example output An executive brief with cited findings, options, and a recommended next step.
Use account context, prior correspondence, and requirements to prepare proposals, RFPs, and high-stakes meetings.
Example output A response draft with a requirements matrix, open questions, and follow-up actions.
Find the methods, project lessons, and playbooks that apply, then shape them for the work at hand.
Example output A project-start brief with the recommended approach and a reusable checklist.
Convert policy, process, and meeting material into updates, procedures, and training content.
Example output A policy update with owner actions and a companion training outline.
Apply a reusable checklist to source material, surface gaps, and document what needs attention.
Example output A review memo with checklist results, exceptions, and recommended actions.
Once a team trusts an answer, the same workspace can repeat it, act on it, and package it for others, under the same identity, connectors, and audit.
Describe a process in chat or lay it out on a canvas: Microsoft 365, Google Workspace, and MCP steps, AI steps, conditions, and approvals, run on a schedule or by hand. External writes wait for an approval step by default.
Ask for a briefing or check to run once, daily, weekly, or on a repeating interval. Each run lands in its own conversation with a notification when it finishes.
Describe a tool and IQ Chat builds a working web app that can use your connected data and AI. Share it with people, roles, or the whole workspace; it always runs as the person using it.
Save instructions and reference material as a Skill people attach to a chat. Administrators can publish Skills for the whole workspace.
Administrators choose which of these each workspace and user can use. Some are in early access.
Evaluate IQ Chat against the controls your team will operate: identity and provisioning, connector access, model operations, auditability, and usage visibility.
See these controls in a walkthrough tailored to your workflows.
The facts a technical evaluation will check, stated plainly. Every line describes the shipped platform, not a roadmap.
Capabilities are enabled per workspace. Certifications, retention terms, and provider contracts are confirmed for each deployment.
Start on the shared platform in a day, or take the whole system for one organization. Either way it runs under your name.
A workspace on the IQNOVO platform, on your subdomain or your own domain, with its own application database. Provisioned the same day and seeded with sample content, so the first session is not an empty screen.
The full stack deployed for one organization and scoped per engagement, for compliance teams that will not sign off on shared infrastructure.
Your name, your logos, your domain, and legal pages in your company's name. Agencies, MSPs, and consultancies run branded client workspaces from one master console and keep the client relationship.
IQ Chat comes with a delivery team. IQNOVO can set it up with your IT group, shape it around the work your teams repeat, and write the policy that governs it, so the rollout has an owner from the first day.
SSO, SCIM provisioning, connector policy, the model catalog, routing, and failover, set up with your IT team.
Agents and starters for the recurring workflows you choose, tested on your own material during the pilot.
An AI use policy and data-handling rules written with you, so every team works under the same terms.
Usage and cost reviewed by model, user, and feature, so expanding is a decision made on evidence.
If the work depends on data that does not agree across systems yet, we fix that foundation first.
Both can be strong choices when one ecosystem covers the work. IQ Chat fits when teams still need other models or a common operating layer across them. It brings model access, Microsoft 365 and Google Workspace context, finished deliverables, and shared controls into one workspace; it does not have to replace every existing tool.
A single provider can simplify procurement and governance, and it may be the right choice when one ecosystem meets the organization's needs. It becomes limiting when teams need different models or those needs change. IQ Chat standardizes the workspace — identity, connector access, audit, usage, routing, and workflows — while preserving model choice.
Too much unstructured choice can create friction. Workspace defaults and routing policies, plus reusable agents and starters, give teams guided paths for recurring work. Users can switch models when needed without learning a separate workspace for every provider.
A capable engineering team can build a model picker quickly. The longer-term work is operating it: identity and provisioning, connector permissions, audit logs, routing and failover, usage visibility, editable artifacts, support, and ongoing provider changes. The real comparison is not the first interface; it is the platform your team must keep maintaining.
No. Specialized tools can be the best choice when proprietary content or a deep domain workflow is the core requirement. IQ Chat addresses broader research, analysis, knowledge work, documents, and repeatable workflows across models and company context. Keep specialist tools where depth matters; use IQ Chat where general-purpose work would otherwise fragment across provider workspaces.
Each workspace runs in its own application database, and provider keys, connector tokens, and credentials are encrypted before storage. Access runs through SSO, SCIM, and 2FA, admin and user activity is recorded in a hash-chained audit log administrators can verify, and connectors stay off until a user enables them. Provider handling, retention, deletion, residency, and contractual requirements should be reviewed for the intended configuration before rollout.
Yes. IQ Chat is white-label and multi-tenant, with your branding, logos, and domain.
No. IQNOVO's delivery team can configure identity, connectors, and model routing with your IT group, build agents for the workflows you choose, and help write the AI policy around them. Teams that prefer to run it themselves get the same administrative controls directly.
Bring the AI tools your teams use today and a few recurring workflows worth improving. We'll shape a guided pilot around model access, Microsoft 365 or Google Workspace context, finished deliverables, and the governance controls your organization needs to evaluate. Define the questions first. Then use the evidence to decide whether to expand, revise, or stop.
A short summary is enough. A senior team member will follow up within one business day to understand fit and recommend the next practical step.
