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orvante
Approach

How products and custom AI systems reach production.

We design, build, and operate the layer between your AI applications and the systems that run the business — workflows, integrations, controls, audit trails, and production visibility.

From first call to production

A build moves through six accountable phases.

No big-bang reveal at the end. Each phase produces something you can see, react to, and sign off — so the work stays on track and in your control.

01

Discover

Understand the work and the systems it touches.

02

Design

Prototype the workflow where it's cheap to change.

03

Build

Senior engineers, short iterations, in your environment.

04

Integrate

Wire into the systems of record the business runs on.

05

Launch

Staged rollout with training, runbooks, and support.

06

Improve

Evaluate and extend, or hand over cleanly.

Operating disciplines

Built like production software, where most pilots stall.

A demo runs once, on clean data, with someone watching. Production work moves through real systems, respects permissions, handles the cases that don’t fit, and shows how each decision was made.

AI engineering

Prompt systems, retrieval, agent workflows, evaluation, and review paths built around the decisions your teams actually make.

Operators get clear screens, review queues, confidence checks, and escalation paths when the system needs a person.

Data & integration

Connections to records, documents, events, and knowledge sources across legacy and modern systems.

Hardened connectors and retrieval so the system reasons over the same material your people do.

Security & trust

Access rules, logs, approvals, review states, and release controls built into the application from the start.

Every decision is attributable and reproducible — defensible when someone asks who approved what.

Enterprise integration

Identity, observability, workflow tools, and systems of record connected without forcing a rebuild of your environment.

We meet your stack where it is — custom integration is part of the work, not an edge case.

Before launch

What we put in place to take it live.

The operating layer ships with the readiness work that keeps it running: environments, a phased integration plan, and the adoption support teams need to trust it.

Operational readiness

Environments, releases, monitoring, support paths, and review routines defined before launch.

Integration strategy

A phased plan for connecting the systems that matter first, without disrupting the ones the business depends on.

Adoption planning

Training, governance, reporting, and rollout support so teams know when to trust the software and when to intervene.

Next step

Map the operating layer to your architecture.

We can walk through the workflows, integrations, controls, and delivery path your environment would require.

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Korvante