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AI-accelerated delivery · You pay when it works
Plano, TX · MunichAccepting Q4 2026 briefs
Superintelligence readiness

Get your company ready for superintelligence

AI is getting more capable every few months. The companies that benefit first are the ones whose data, approvals and system access are ready for it. We build that readiness as production AI agents, two weeks at a time, and you pay only when each one works.

Readiness built as working agents, not slide decks
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The problem

Better models will not fix a company that is not ready for them.

01

The data is out of reach

Key records sit in inboxes, shared drives and systems with no API. A smarter model still cannot read what it cannot reach.

02

Nobody owns the approval

When AI drafts a decision, there is no named person to sign it off and no record that anyone did.

03

Agents run on shared logins

Automations borrow personal or shared accounts with broad access, so one mistake can travel across every system.

04

Locked into last year's tool

Prompts and business rules live inside one vendor's product, so each better model means a rebuild.

The plain version

What superintelligence means for a company your size.

The word now has two meanings. Since September 29, 2026, Executive Order 14434 has the federal government saying “Super Intelligence” where it used to say “AI”, with the same legal definition. In the AI industry, superintelligence means systems that outperform people at most thinking work. Nobody can tell you when that arrives. What you can see today is the direction. Each new generation of models handles longer tasks with less supervision.

For a business with 50 to 2,000 people, the useful question is narrower. When the next model can do more of your team's work, will it be able to reach your data, act inside your systems safely, and hand its work to someone who is allowed to approve it? Companies that answer yes get the gains within weeks of each release. Companies that answer no wait for a project to start.

We build that readiness as working systems. Every piece is a production AI workflow that pays for itself now, and each one leaves your data, approvals and access in better shape for whatever the next model can do.

Where the work moves

What changes as models get more capable, and what to do now.

AreaTodayAs capability risesWhat to put in place now
Documents and dataAgents read, compare and draft documents when a person points them at the right files.Agents find the right files on their own, across every system they are allowed into.Map where your key records live and make retrieval follow the permissions you already have.
DecisionsAI drafts a recommendation and a person decides.AI handles routine decisions end to end and escalates the exceptions.Write down who approves what, and record every approval so you can show it later.
Systems accessAutomations run under shared or personal logins in many companies.Agents act across many systems in one task, so access mistakes compound.Give each agent its own identity, the least access it needs, and a full activity log.
Vendors and modelsMost teams are tied to whichever AI product they bought first.Better models arrive every few months, often at lower cost.Keep prompts, data access and business rules in your own code so you can switch models.
Start here

Check where you stand.

Interactive tool

Superintelligence Readiness Check

Eight questions, a weighted score and a fix-first list. About three minutes, no email needed.

Open →
Guide

The Super Intelligence executive order, explained

What EO 14434 and the wider federal AI policy require of private companies, and what they do not.

Open →
Whitepaper

Ready for Superintelligence: the operator playbook

A practical plan for mid-size and regulated companies, with a 90-day sequence. Free PDF.

Open →
How it works

What we build, one sprint at a time.

A first agent in production

One document-heavy workflow running on real volume, with a person approving every output. This is where most of the learning happens.

Permission-aware data access

Retrieval across your systems that respects the access each person already has, so agents never show what someone could not open.

Approvals that leave a record

Named approvers by risk level, with every sign-off logged. The log is your evidence when a customer or regulator asks.

An identity for every agent

Each agent gets its own login, the least access it needs and a full activity log, inside your own tenant.

Model-portable design

Prompts, rules and data access stay in your code, with test sets that let you compare a new model in an afternoon.

Measured results

A baseline before the build and acceptance criteria the system must pass, so hours saved are counted rather than claimed.

Industries served
Our method

From workflow to working tool in two weeks.

01

Scope and sign

Day one

We define the workflow, the deliverables, and the acceptance criteria, and sign an agreement on them before anything starts.

02

Build

Two weeks

We build the tool in your environment, with Claude Code and automated evaluation against your own data.

03

Pay when it works

On delivery

$10,000, due only after every criterion in the signed agreement is met. Nothing before that.

Compliance & security
Built to SOC 2, HIPAA and GDPR standardsEU AI Act-aligned deliveryMicrosoft Solutions Partner
Pricing
$10,000 per two-week build, paid on acceptance

We scope one workflow with you and sign the acceptance criteria on day one. We build it in your environment in two weeks, and you pay $10,000 only after every criterion is met. Nothing upfront. Each build leaves your data, approvals and agent access more ready for the next model.

Tell us the workflow →
Related solutions
Frequently asked

Questions buyers ask.

What is superintelligence?

It has two meanings. Under Executive Order 14434 (September 29, 2026), the federal government uses Super Intelligence as its official name for AI, with the same legal definition. AI labs use superintelligence for systems that outperform people at most thinking work, which today's models are not. Either way, models handle longer tasks with each release, so preparing your data, approvals and access now pays off.

AI vs SI: what is the difference?

In federal usage there is no difference in scope. Executive Order 14434 renamed artificial intelligence to Super Intelligence and kept the existing statutory definition. In research usage, superintelligence means AI that outperforms people at most thinking work, which goes well beyond the AI tools companies use today.

What is SI?

SI stands for Super Intelligence. Since Executive Order 14434, Inaugurating The Era Of Super Intelligence, signed on September 29, 2026, federal agencies use SI in place of AI in official communications. In AI research, superintelligence means a system that outperforms people at most thinking work.

What is the Super Intelligence task force?

It usually refers to the White House Task Force on Artificial Intelligence Education, created by Executive Order 14277 in April 2025 and chaired by the Director of the Office of Science and Technology Policy. SI.gov now presents its work as SI Education, including the Presidential SI Challenge for K-12 schools.

Does QueryNow build superintelligence?

No. We build production AI agents for specific workflows, using the best available models from providers such as Microsoft, AWS, Google, OpenAI and Anthropic. Each build also leaves your company better prepared to use more capable models as they arrive.

Is this only for large enterprises?

No. Most of our readiness work suits companies with 50 to 2,000 people. Smaller companies often move faster because fewer people need to approve each change.

Where should a company start?

Take the readiness check, then pick one high-volume, document-heavy workflow and get it into production with a person approving the output. That first build forces the data access and approval decisions everything else depends on.

How does the federal AI push affect my company?

Most federal AI rules apply to government agencies and their suppliers. The renaming order does not oblige companies to do anything, and state AI laws still apply. Our policy guide separates what applies to businesses from what does not, using the published documents.

What does it cost?

Each build is $10,000 for two weeks of work, paid only after every acceptance criterion you signed is met. Nothing upfront, and you can stop after any build with a working system in hand.

Ready to ship AI that actually works?

Send us the workflow. We return a fixed scope, price, and acceptance criteria in 48 hours. You pay $10,000 only after it works.

Tell us the workflow →
Free paper

Ready for Super Intelligence: an operator playbook for mid-size and regulated companies

What Super Intelligence means for your company, and the data, approvals and agent access to put in place now.

Read it free →
Get the designed PDF