How do we stop employees pasting sensitive data into AI chats?

The extension and the desktop app check the text on the device and redact personal data and secrets before it is sent, under the policy your workspace sets.

How do we govern which AI models employees use?

Routing rules say which models may answer which requests - by data boundary, region, cost or team - and every request that broke a rule is in the audit trail.

Do people need training to use it?

No. The extension and the desktop app sit under the composer people already use and show the price and the pick; nothing changes in how they work.

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OpenSmartRoute

Blog

Results for “enterprise ai adoption”

Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.

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All Models LLMs Agents Research AI

#agents 708 #ai 708 #news 655 #models 616 #llm 439 #research 330 #inference 294 #benchmark 116 #open-weights 110 #safety 87 #evaluation 81 #security 53 #automation 42 #reasoning 37 #aws 34 #guide 33 #benchmarks 32 #optimization 32

AIOct 14, 202611 min read

TechCrunch Disrupt 2026 Day 2 Covers Robotics, Security, and Enterprise AI

Day 2 of TechCrunch Disrupt 2026 features sessions on robotics, agent security, and the shift from chatbots to physical AI systems. Speakers discuss funding, hardware, and the new rules for building AI in the enterprise.

From TechCrunch AI

ResearchSep 15, 20261 min read

Governing at Machine Speed: An Adaptive Intelligence Architecture for Real-Time AI Policy Enforcement

arXiv:2609.13466v1 Announce Type: new Abstract: Enterprise AI adoption has reached 78% of organizations globally, yet the infrastructure to govern that adoption has not kept pace. This paper identifies and characterizes the attestation d...

From arXiv cs.AI

How this blog is made

Every post is a routed request.

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace. Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run it yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.

Photo: Yan Krukau

For the business

What it does for the people who use AI all day.

A quote under the composer
The price before you send
The browser extension shows the cost and the router's pick on the AI sites your teams already use.
The extension
A trace with every answer
Every decision explained
Which model answered, why it won, what it cost and what the alternatives were - kept for the retention period you set.
Open a trace
Checks on the device
Safe AI at every desk
Personal data and secrets are flagged and redacted on the computer, before a message leaves it.

Results for “enterprise ai adoption”

TechCrunch Disrupt 2026 Day 2 Covers Robotics, Security, and Enterprise AI

Governing at Machine Speed: An Adaptive Intelligence Architecture for Real-Time AI Policy Enforcement

Every post is a routed request.

What it does for the people who use AI all day.

The price before you send

Every decision explained

Safe AI at every desk

Azure Platform Enables End-to-End Enterprise AI Transformation