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Rhino charging forward representing AI strategy consulting.

Start a Discovery Sprint

A 2-week Discovery Sprint.

You cannot modernize what you do not understand. In two weeks, rhino analyzes one of your hardest systems and demonstrates proof of value, before any large commitment.

Who it's for

Point us at the system you least want to touch

The Sprint is built for the estate that is business-critical, poorly understood, and risky to change. If a modernization or AI program is stalled because no one can say exactly what a system does, that is the system to bring.

Team collaborating on AI strategy consulting in a meeting.

Ideal candidate

A mainframe, custom, or packaged system that runs something important, has little current documentation, and blocks a modernization or AI initiative.

Team collaborating on AI strategy consulting using a laptop.

What you bring

Read access to the code, configuration, and any documents, plus a few experts for a short validation session. No pre-work or clean-up needed.

Two professionals discussing AI strategy consulting on a tablet.

What you avoid

A long, expensive assessment. The Sprint is fixed-scope and proves value before any large commitment.

What you get

From black box to a clear path forward

Functional specification

What the system does, in business terms, grounded in the actual logic.

Application architecture map

In your own tenancy. rhino is the engine, not the owner. The governed logic graph is yours to keep and reuse across programs.

Modernization path

Where to simplify, refactor, or modernize, sized and sequenced.

Executive readout

Findings, implications, and a recommended next step.

How it runs

Two weeks, fixed scope, your environment

Runs inside your environment, with the model of your choice. Nothing leaves your perimeter.

01

Kickoff

Scope and objectives set with your team.

02

Assets

Code, configs, and documents into your perimeter.

03

Extraction

The logic graph is built; gaps flagged.

04

Validation

Findings refined with your experts.

05

Readout

Evidence-backed results and path forward.

Sample deliverable

A governed map of what your system actually does

Every rule, dependency, and workflow, traced to its source with a confidence score and flagged as explicit or inferred. You leave the Sprint with an artifact your team, and your AI agents, can actually use.

Diagram of AI strategy consulting for Rule R-204 data components.

Security and deployment

It runs where your code already lives

AI strategy consulting through connected digital data cubes.

Your perimeter

Deploy in your own environment, on-prem or in your VPC. Nothing leaves your perimeter.

Secure servers with AI strategy consulting for data protection.

Your models

Connect the cloud or private model of your choice, with SSO and role-based access.

Network nodes connecting data for AI strategy consulting.

Enterprise-grade

SOC 2, and accreditation for government and regulated industries.

Common questions

Discovery Sprint FAQ

How long does it take?

Two weeks, fixed scope, from kickoff to executive readout.

What systems can you run it on?

Mainframe and COBOL, custom code, packaged software and ERP, low-code, and the integration fabric around them.

What do we get at the end?

A functional specification, an architecture map, a sized modernization path, and an executive readout, all grounded in the real logic.

Does it commit us to a larger program?

No. The Sprint is designed to prove value first, so you decide the next step from evidence.

Is our code safe?

Yes. It runs inside your environment with the model of your choice, and nothing leaves your perimeter.

How do we start?

Book a short scoping call and we will confirm the system, access, and timing.

Bring the application everyone is afraid to touch

In two weeks, we'll show you whether the problem is the code, the process, or the business logic.

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