— home Schedule a Strategy Call Request a call

We redesign how work gets done with AI.

Altivus redesigns the operational workflow, then builds and operates the AI systems that run it. AI-enabled operational workflows for growing organizations.

Schedule a Strategy Call See how we work

Where AI belongs in your operation.

Browse the full library

Each Blueprint is a documented AI use case: a real operational pattern drawn from a real implementation, with a person kept in the loop wherever judgment is involved.

Each card names the industry and function it belongs to, then two badges: complexity (how involved the build is) and deployment (whether it runs on HeyQuinn or directly on the model platform).

Manufacturing & DistributionOperations

Multichannel order intake and ERP conversion

Parses orders from email, text, photos, and calls, matching each customer's shorthand against order history to build a structured order. A team member reviews any order below the confidence threshold before it reaches the ERP.

Systems: ERP

  • Complexity: Standard
  • Deployment: Platform-native
Read the Blueprint: Multichannel order intake and ERP conversion Discuss this workflow: Multichannel order intake and ERP conversion

Construction & EngineeringSales

Tiered estimate generation from site photos

Generates tiered good-better-best pricing quotes for foundation repair jobs from site photos, job descriptions or satellite property measurements. The estimator reviews and sends the finished quote to the homeowner.

Systems: CRM · MapMeasure Pro

  • Complexity: Standard
  • Deployment: Platform-native
Read the Blueprint: Tiered estimate generation from site photos Discuss this workflow: Tiered estimate generation from site photos

HeyQuinn — AI runtime by Altivus

HeyQuinn: the operating layer between AI models and your business.

Bring your own model. Bring your own compute. See what every agent did in Mission Control.

Explore HeyQuinn

Not every project needs HeyQuinn. Altivus recommends it when the workflow calls for a persistent, governed operating environment, and platform-native architecture when it doesn't.

How Altivus works

Discovery before development.

Discovery: Understand the work before choosing technology

A Strategy Call, then Initial Discovery when there is something worth examining, then a Deep-Dive that maps the workflow, the systems and the permissions behind it. None of the three commits you to the next.

See the full path

Design: 15 questions answered before any technology decision

Where the work is deterministic, where it needs judgment, what happens when the AI is uncertain, and who approves what. The answers decide the architecture, not the other way round.

See the 15 questions

Build and run: Scope agreed, then built, then operated

Deliverables and architecture agreed before work starts. Then built, and run in production with monitoring, permissions and audit, on HeyQuinn or platform-native infrastructure, whichever fits the workflow.

More about Build and Run

Why Altivus

Operational depth, built for AI

Operational experience

Roughly a decade inside workflows, integrations and business systems before AI was part of the conversation.

AI-native engineering

Agents, orchestration and retrieval built to run in production, with the monitoring and controls that implies.

Vendor-neutral architecture

Model-agnostic by architecture. Opinionated where it matters.

Governance by design

Permissions, audit and human approval are designed in from the start, alongside the workflow itself.

Governance

AI should operate inside defined boundaries.

If AI can take action, you should be able to see what it did, why it did it, and what it touched.

What happens after you request a call

  1. Strategy Call
  2. Initial Discovery
  3. Deep-Dive Discovery
  4. Build
  5. Run

See the full path

Let's find where AI belongs in how your organization works.

Schedule a Strategy Call

No pressure, one workflow or problem.