01 Risk signal
Technology-led, not value-led
Pilots chase the shiny thing instead of the costly bottleneck. Impact never materializes.
AI Solutions / Strategy
AI Strategy that starts with ROI, not hype
Most AI initiatives stall because they start with technology, not outcomes. We help you map where AI creates real value, build the business case and sequence a roadmap you can actually execute.
- Weeks
- To a costed roadmap
- ROI-ranked
- Opportunity backlog
- Build-ready
- Handover to delivery
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Why AI strategies fail
It is rarely the models. It is the absence of a clear line from a use case to a number on the P&L.
02 Risk signal
No business case
Without a credible ROI model, initiatives lose sponsorship the moment budgets tighten.
03 Risk signal
Data & governance gaps
Promising use cases collapse on contact with messy data, unclear ownership and risk concerns.
How we build your AI strategy
A focused engagement that turns ambition into a prioritized, costed and build-ready plan.
Checkpoint 01
Opportunity mapping
We map your value chain and rank AI opportunities by ROI, feasibility and time-to-value.
Checkpoint 02
Business case
For the top opportunities we build a credible ROI model: costs, benefits, risks and assumptions.
Checkpoint 03
Readiness review
We assess data, integrations, skills and governance so the plan survives contact with reality.
Checkpoint 04
Roadmap
A sequenced, quarter-by-quarter plan with owners, KPIs and a clear first build.
What you walk away with
01
ROI-ranked opportunity backlog
A prioritized list of AI use cases scored on value and feasibility.
02
Costed business cases
Financial models for the top initiatives, ready for the budget conversation.
03
Data & governance assessment
A clear-eyed view of what is ready and what needs to be fixed first.
04
Executable roadmap
A sequenced plan with KPIs, owners and a defined first build.
The point of all this
- Clarity
- On where AI pays off
- Confidence
- In the business case
- Momentum
- Into the first build
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Frequently asked
How long does a strategy engagement take?
Most run a few weeks, depending on the breadth of your operations and the availability of stakeholders and data.
Do we need clean data first?
No. Assessing data readiness is part of the work. We tell you exactly what to fix and in what order.
Can you also build what you recommend?
Yes. The roadmap hands over cleanly to our AI Development and Process Optimization tracks.
Insights
All insightsFrom our insights
Measuring the ROI of AI Agents: A Framework for SMBs
Build a credible ROI of AI agents case before spending a franc. Our framework covers hours saved, error rates, cycle times and payback periods for SMBs.
Read articleImplementing AI Agents in Your Business: A Phased Roadmap
How to implement AI agents in business: a phased roadmap covering process selection, pilot design, evaluation, and production rollout. Talk to Orange ITS.
Read articleIs Your Business Ready for AI Agents? A Readiness Check
Run this AI readiness assessment across data, processes and people before you build — and avoid the mistakes that sink most agent projects.
Read articleProject intakeSecure workflow
Turn AI ambition into a costed plan
Book a strategy session and leave with a prioritized, ROI-ranked roadmap.
01Weeks02ROI-ranked03Build-ready
Direct response: hello@orange-its.ch