What we do
We build the foundation enterprise AI runs on, and the agents that run on it.
QueryNow leads AI transformation for enterprises in the US and Europe, from strategy to agents in daily use. Since 2014 we have delivered more than 200 production deployments on AI and the Microsoft platform for companies including Bayer, Takeda, Rockwell Automation and Burckhardt Compression.
How we build agentsHow we engage
Every engagement starts with one scoped workflow and a written definition of done. Commercial terms are set in the statement of work.
How we engageWho we did it for
- Bayer: Automated radiology sales operations.
- Rockwell Automation: Intranet rebuilt for 28,000 employees. Finding information went from 12 minutes to under 4.
- A European pharma regulator: Ad compliance review went from two or three hours to about two minutes per asset.
Takeda, Tillotts Pharma and Burckhardt Compression are clients too. 200+ production deployments on AI and the Microsoft platform since 2014.
See our workWhat we want from you
Tell us the workflow you want to start with.
Find your first AI build and its definition of done.
Three taps to see a first AI build for your industry and the five acceptance criteria you would sign before it starts. No signup.
Which industry are you in?
We automated radiology sales operations for Bayer.
Your work goes in. It comes out passed.
- Step 1
Scope it and sign.
You tell us the workflow. We write the acceptance criteria it has to meet and we both sign before anything starts.
- Step 2
We build it in your environment.
A working agent inside your tenant, tested against your own data and every criterion you signed.
- Step 3
We run it after launch.
We run, monitor and improve the agent, measured against the same criteria. A named person on your team approves what it produces.
How we deploy production AI.
AI workflows on AWS
Amazon Bedrock assistants and agents, connected to your data in S3. Built in your AWS account with explicit access controls.
Learn more →Enterprise RAG systems
Your documents and knowledge bases turned into an AI search system. Every answer cites its source.
Learn more →Compliance & risk agents
Agents that test controls, monitor regulatory changes, and produce audit-ready reports.
Learn more →Business function copilots
Purpose-built agents for Finance, Legal, HR, and IT, connected to your own systems.
Learn more →Microsoft 365 Copilot deployment
Governed Copilot rollout with security frameworks and custom agent skills.
Learn more →Intelligent workplace hub
An AI-driven digital workplace with semantic search that replaces aging intranets.
Learn more →Pharma & life sciences AI
AI for HCP engagement, clinical evidence, and adverse event monitoring, built to GxP expectations.
Learn more →AI governance
The six-layer governance stack, installed as working systems one workflow at a time.
Learn more →Everything else we build
AskHR, AskIT, packaging QA, brand hubs, radiology docs, and more. One workflow at a time.
Learn more →Documented outcomes from enterprise delivery.
A secure document and digital-asset platform on Azure. Authorization is separated from metadata and storage, so each business entity only sees its own documents.
AI compliance scanner for a national medicines-advertising regulator. Marketing assets checked against national and EU health-claims regulations. 620+ assets scanned. 11 rules per scan. Traffic-light verdicts with source citations and fix suggestions.
AI-driven digital workplace for 28,000+ employees across 80 countries. Replaced a fifteen-year-old intranet. Mobile access for factory floor workers.
The questions buyers actually ask.
What does QueryNow do?
We lead AI transformation for enterprises in the US and Europe. We work out where AI pays off first, build the data and platform foundation that agents need on Azure or AWS, build the agents on top of it and run them after launch. Since 2014 we have delivered more than 200 production deployments on AI and the Microsoft platform.
Where does an engagement start?
With one scoped workflow and a written definition of done. We agree the deliverables and the acceptance criteria with you before the build starts, and we build against that document. Larger programs start the same way, one workflow at a time inside a roadmap we agree with you.
What if the agent does not meet the acceptance criteria?
We fix the agent until every criterion passes. The criteria are written before the build starts and run as tests against your own data, so you can see each result. Commercial terms can be tied to those same criteria.
We already have an IT team.
Good. Your IT team should be in the scoping call, because they will own the system with us after launch. We build in your environment and hand them the code, the deployment and the documentation. The acceptance criteria include their handover requirements.
What counts as one workflow?
A workflow is one repeatable process with a defined trigger. We agree what input it receives and what output it must produce. Examples: prior authorization submissions, three-way invoice matching, deposition summary drafting, carrier vetting, CoA generation. We define yours together on the scoping call and write it into the agreement, including the acceptance criteria you signed off on. If the scope drifts during the build, we either trim it back to the signed spec or scope the extra work as the next workflow.
Who decides whether the acceptance criteria pass?
You do, against checks written in plain language and signed before the build starts. They run as tests on your own data, so everyone can see the result.
Who runs the agents after launch?
We do, if you want us to. We run, monitor and improve your agents after launch, measured against the acceptance criteria you signed. Your team approves what the agents produce, and we update them when your rules or systems change.
How are commercial terms set?
In the statement of work for each engagement. They follow the scope of the workflow, the systems it touches and who runs it after launch, and they can be tied to the acceptance criteria you sign.
Expert perspectives on production AI.
Tell us the workflow you want gone.
Every engagement begins in writing. Tell us the workflow and we come back with a written scope and the acceptance criteria it has to meet. Commercial terms are set in the statement of work. The only thing you commit to today is reading our reply.
Talk to our team →