The pressure
Your application portfolio is under pressure in the AI age
What IT sees in the estate shows up for the business as cost, delay and lost leverage.
The CIO view
The condition of the estate
Legacy app risk
Unsupported versions, and nobody left who knows the code
SaaS sprawl
Platforms bought outside IT, with no owner
Redundant apps
The same capability paid for twice
AI compatibility
Applications that aren't in a state AI can use
The business view
What that condition costs
Speed
Every change takes quarters
Cost
Most of the budget keeps the lights on
Leverage
Renewals priced with no credible exit
Capacity
The backlog never clears
What makes it a challenge
You can't modernize what you don't understand
Four things stop most modernization programs before they start.
01
The logic was never written down
The specs are gone, the documentation is wrong, and the people who knew have retired.
02
Discovery is manual
Months mapping the estate before anything moves, and the map is stale when it's done.
03
Every app is its own project
Cost scales with the portfolio. 200 applications means 200 programs.
04
Mixed estates defeat point tools
Custom code, COTS, SaaS and mainframe in one portfolio, and every tool covers one.
Portfolio modernization
Three plays for the whole estate
Each play answers one of the pressures above. Rhino starts with an assessment, then modernizes in waves, one application or flow at a time, so the backlog actually moves.
EVERY WAVE Discovery → Analysis → Recommendation & sign-off → To-be design → Agentic build, test & deploy
01
Move to a modern target
Modernize legacy applications, workflows and automation flows onto a current release, cloud-native services or a new platform, with every business rule carried across.
Answers
Legacy app risk. Unsupported versions, and nobody left who knows the code.
In and out
Applications, workflows, automations and their integrations go in. The same capability comes out on the target you choose, tested and documented.
Typical trigger
End of support, a forced upgrade, a renewal, or an AI mandate the estate isn't ready for.
02
Consolidate onto one platform
Collapse duplicate systems, workflows and automations onto a single platform or instance, without losing the rules only one of them knew.
Answers
Redundant apps. The same capability paid for twice.
In and out
Two or more systems or flows doing one job go in. One platform or instance comes out.
Typical trigger
A budget cycle, or an acquisition that left two systems doing the same job.
03
Rationalize the portfolio
Know what every application and automation does and what it costs to run, then keep, merge or retire each one.
Answers
SaaS sprawl. Platforms bought outside IT, with no owner.
In and out
The whole portfolio, including the automations around it, goes in. A keep, merge or retire decision comes out for each one, with the evidence behind it.
Typical trigger
A budget cycle or a portfolio review.
Whichever play you run, the estate gets better. Everything that goes through the factory comes out tested, documented and traced to source, in a state AI can use.
Outcomes across the portfolio
~51%
less implementation effort
~55%
faster modernizations
Lower
run cost and license spend
Better
estate: less tech debt, less risk, ready for AI
Running a mainframe? See rhino for Mainframe →
How we deliver
Many sources in, one workbench
An enterprise estate is almost always three or four technologies at once. The play changes what goes in and what comes out, not the steps.
Sources in
The workbench
Workflow
The five steps, from discovery to deployment
Context layer
The extracted logic, structured and governed
Trust
Deterministic, AI and human in the loop, fully traceable
Out
One workbench, whichever play you run.
Trust and compounding
Every modernization funds the next
The first modernization is funded. The ones after it are funded by what the first one saved.
Sources in
Sources in
Application 1
Builds the knowledge base
Applications 2–10
Reuse mappings, patterns and tests
10+
One industrialized motion, run by your team or your integrator
Savings fund the next modernization. The backlog starts clearing.
Proven outcomes
Enterprises are seeing real results
Across financial services, the public sector and energy and industrials, including through KPMG and Carahsoft.
Exit
>60%
reduction in license fees
Large US government agency · SaaS license renegotiation at renewal
Consolidate
70%
less time to proof of concept
APAC bank · IBM FileNet to Appian across 100+ applications
Reuse at volume
50–60%
time and FTE savings
Global investment bank · 500 legacy workflows, JBPM to ServiceNow
How we work together
Our proven approach
One joint team proves the factory on a single lane, then your team runs it.
01
Stand up a dedicated joint team
Your SMEs and Rhino forward-deployed engineers in one team, with no handoff between the people who know the systems and the people modernizing them.
02
Redefine how applications get modernized
Deep dive the legacy and target stacks, then redesign the process together. The process changes, not just the tooling.
03
Configure the first lane and pilot it live
One application type, one real cutover, scoped end to end. The factory is proven before it scales.
Then
Your team runs the lane
And the next application type comes onto the factory.