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NX:IQ

Intelligence engineered for what’s next

Applied AI that does real work.

NX:IQ builds intelligent software, workflow automation and AI-enabled solutions that eliminate manual work, connect disconnected systems and give growing organizations enterprise-level capabilities.

What NX:IQ does

Connect. Understand. Decide. Automate.

Every engagement follows the same operating framework, whether the work starts in a mailbox, a PDF, an ERP or a field ticket.

  1. Step 1

    Connect

    Integrate with the ERP, SIS, CRM, mailboxes, drives and line-of-business systems already in use.

  2. Step 2

    Understand

    Read documents, email, forms and records, then turn them into structured, validated data.

  3. Step 3

    Decide

    Apply your rules, thresholds and policies — with human review wherever judgment is required.

  4. Step 4

    Automate

    Write back to systems, route approvals, notify people and close the loop without manual re-entry.

Built AI-first

AI-first is how we build, not a feature we bolt on.

We start from the question of what the work actually is, then decide what a model should do, what a rule should do and what a person should decide. That division of labour is designed first — before any interface, integration or dashboard.

01

Design around the decision

We map where judgement actually lives in a process, then automate everything around it.

02

Thin vertical slices

One real workflow end to end in weeks — working software instead of a pilot that never lands.

03

Evaluation before scale

Test sets and accuracy thresholds are built with your team before a solution handles live volume.

04

Guardrails and oversight

Confidence thresholds, escalation paths and audit trails so people stay accountable for outcomes.

See the work disappear

The same process, with and without NX:IQ.

Most operational drag is not decision-making. It is copying information between systems, chasing approvals and confirming that something happened.

Traditional process
  1. Email arrives with an attachment
  2. Someone opens and reads the PDF
  3. Manual review and data entry
  4. Spreadsheet tracking
  5. Re-keying into the ERP
  6. Chasing an approval
  7. Follow-up email to confirm

Seven handoffs. Most of them are copying information from one place to another.

With NX:IQ
  1. Email or document arrives
  2. AI reads and structures the content
  3. Validation against your rules and records
  4. System of record updated automatically
  5. Approval requested only when judgment is needed
  6. Completion confirmed and logged

One flow. People step in where judgment matters, not where data entry does.

Higher education spotlight

Deep experience where academic and administrative systems meet

Institutions carry ERP and SIS environments, accreditation obligations, distributed governance and constant service pressure. NX:IQ works across that whole surface — from AI governance and readiness through automation and AI integration with existing systems.

  • AI strategy, readiness and institutional governance
  • AI integration with Ellucian Banner and other SIS/ERP systems
  • Student services triage, intake and self-service
  • Academic operations and document-heavy workflows
  • AI-assisted grading and feedback with instructor oversight
  • Institutional reporting and program-level insight

How we work

Credibility comes from delivery, not claims.

We are a small, senior team. You work with the people who design and build your solution, and we are explicit about what is proven versus what is intent.

Senior practitioners on the work

Strategy, architecture, engineering and delivery handled by the same accountable team from discovery to support.

Enterprise systems background

We connect AI to ERP, SIS, CRM and integration-heavy environments where change has to be sequenced carefully.

Human-in-the-loop by default

AI drafts, ranks and structures. People approve anything that carries consequence, and the trail is recorded.

Security and privacy as requirements

Access control, data handling and retention decisions are made during design, not retrofitted after launch.

Measured outcomes

We define the measurement with you before build and report against it after launch, including where results fall short.

No manufactured proof

We do not publish invented logos, testimonials or metrics. Ask for references relevant to your sector and we will tell you what we can share.

Common questions

What working with an AI-first team looks like.

Straight answers to the questions we hear most often in first conversations.

What does AI-first development mean?

It means the solution is designed around what a model can reliably do, what deterministic rules should handle and where a person must decide — before anything is built. AI is the starting assumption for how the work gets done, not a feature added to an existing application.

How quickly can an AI solution go live?

We deliver one real workflow end to end rather than a broad platform, so a first production slice is typically measured in weeks rather than quarters. Timelines depend on data access, integration complexity and approval requirements, and we set them with you after a short discovery.

How do you keep AI output accurate and accountable?

We build evaluation sets with your team before scaling, set confidence thresholds, route low-confidence cases to people and record an audit trail. Anything with real consequence keeps a human approval step.

Do we need clean data or an AI strategy first?

No. Most engagements start with the data and systems you already have. AI Strategy & Readiness exists to find where value is achievable now and what has to be fixed before the next step.

Can AI connect to our existing ERP, SIS or CRM?

Yes — integration is a core part of the work. We connect AI to the systems of record you already run and sequence change so operations keep running during rollout.

Do you build custom solutions or sell products?

Both. NX:IQ products such as Quote and Grade are available directly, and our services build custom AI applications and automation when your process needs something purpose-built.

What process should your team never have to do manually again?

Show us the workflow. We'll help determine whether AI and automation can improve it.