# We redesign how work gets done with AI.

Source: https://altivusops.ai/
Last modified: 2026-09-14

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

## Most AI projects start with the technology. We start with the work.

Most AI initiatives begin with a model and go looking for a use case. The usual result is a demo.

Altivus begins with how the work happens today: the people, the systems, the exceptions. Then we decide where AI belongs and what to build.

## Every engagement moves through three capabilities.

### Advise: Understand the operation before proposing technology

Operational discovery, opportunity identification and prioritization, and governance design, all mapped against how the work happens today and finished before any code is written.

### Build: Applications and agents built around the operation

Custom AI applications, agentic workflows and system integrations. The application isn't the product. The redesigned workflow is.

### Run: Keep AI systems running in production

Monitoring, permissions, audit and continuous improvement, on HeyQuinn or on platform-native infrastructure, whichever fits the workflow.

## Where AI belongs in your operation.

70+ workflows across a dozen industries. Each one is a real operational pattern, 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).

- Invoice intake, coding and three-way match (Financial Services · Finance · Standard · Platform-native): Reads incoming invoices, codes them, matches each to the purchase order and receipt, and routes exceptions to a person. Nothing outside tolerance is posted without approval.
- Prior authorization request drafting (Healthcare & Life Sciences · Operations · Advanced · HeyQuinn recommended): Assembles the clinical documentation for a prior authorization request and drafts the submission against the payer's criteria. A clinician reviews and approves before anything is submitted.
- Change order intake and impact routing (Construction & Engineering · Operations · Standard · Platform-native): Classifies incoming change orders, estimates cost and schedule impact from the contract and schedule, and routes each to the right approver. Nothing is approved without a person.
- Matter intake and conflict check (Legal · Compliance · Standard · HeyQuinn recommended): Screens new matter requests against conflict records and related-party data, drafts the conflict report, and flags anything ambiguous. The conflicts attorney clears every matter.
- Load tender evaluation and carrier matching (Logistics & Transportation · Operations · Advanced · HeyQuinn recommended): Evaluates incoming tenders against carrier capacity, lane history and rate agreements, and recommends a carrier with the reasoning. The dispatcher accepts or overrides.
- Candidate screening and scheduling (Cross-Industry · HR · Starter · Platform-native): Reviews applications against role criteria, drafts a shortlist with reasons, and proposes interview slots. A recruiter confirms the shortlist and the invitations.

[Browse the full use case library](https://altivusops.ai/use-cases/)

## 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.

## 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.

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.

[Explore HeyQuinn](https://altivusops.ai/heyquinn/)

## 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.

- [Permissions](https://altivusops.ai/approach/#def-least-privilege)
- [Audit trails](https://altivusops.ai/approach/#def-observability)
- [Human approval](https://altivusops.ai/approach/#def-human-in-the-loop)
- Data boundaries

## What happens after you request a call

1. **Strategy Call** — No cost.
2. **Initial Discovery** — One or two conversations, no cost, when warranted.
3. **Deep-Dive Discovery** — $2,000, credited in full if the project proceeds.
4. **Build** — Scope, architecture, then the system.
5. **Run** — Operated and improved in production.

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

No cost, no pressure, one workflow or problem.

[Schedule a Strategy Call](https://altivusops.ai/strategy-call/)

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Schedule a free Strategy Call: https://altivusops.ai/strategy-call/