Re-architect a core process AI-first
A fixed-price, hands-on workshop with your own engineers: decide what to build AI-first, what to buy, whether to self-host, and what NOT to do — with eval, observability and governance designed in, and the code owned by you.
For CTOs, CIOs, Heads of Engineering, Product and Operations.
What you walk away with
A target AI-native architecture
An annotated diagram and narrative for the chosen process, or a reference architecture.
Build vs buy vs no-code vs self-host
Each use case scored, with a 3-year cost incl. metered SaaS and the no-code ceiling.
A decision ledger
The reasoning behind every build-vs-buy call, written down — so the next engineer, or an auditor, doesn't have to reconstruct it from Slack.
An eval & governance plan
What 'working' means: offline evals, observability and guardrails — designed in, not bolted on.
An observability blueprint
What gets logged, what triggers an alert, and what a drift incident looks like before it becomes a production outage.
A sequenced roadmap
The thinnest valuable slice first; the first build slice with a success metric and owners.
A handoff plan
Who on your team owns what after we leave, and what they need to run it without us.
A self-host threshold
The volume and workload where self-hosting actually beats a metered API for you — not a rule of thumb borrowed from someone else's stack.
What we cover
Re-architect one process AI-first
Zero-based redesign of your most painful high-volume process — not a chatbot bolt-on.
Reference architecture & build-vs-buy
Orchestration, single vs multi-agent, RAG, integration surface, and where no-code hits its ceiling.
Self-host or cloud?
Managed API vs open-weight/self-hosted vs Swiss-hosted, on cost, control, latency and data.
Eval, observability & guardrails
How you catch a bad output before a customer does, and what 'it works' actually means once it's running.
Data and integration readiness
What's missing before this process can run AI-first — data quality, access, and the systems it has to talk to.
Governance that runs at runtime
Policy enforcement and audit trails built into the architecture, not a policy document nobody reads.
Format
1-day — Working session
6–7h with your team. Re-architect one core process AI-first, plus an honest build/buy verdict.
3-day — Reference architecture
Discovery plus two decision days. Target architecture, build-vs-buy/self-host across a portfolio of use cases, eval and roadmap.
How the workshop runs
- 1 Pre-work: a data/integration-readiness check and one real process map.
- 2 Current-state map and the bolt-on trap.
- 3 Zero-based AI-first redesign — control flow, single vs multi-agent, RAG.
- 4 Human-in-the-loop and failure design.
- 5 Reference architecture and integration readiness.
- 6 Eval, observability and practical guardrails.
- 7 The decision ledger — writing down the build-vs-buy reasoning per component.
- 8 Build vs buy vs no-code, plus hosting — TCO, no-code ceiling, self-host.
- 9 Handoff: who owns what, and what they need to run it without us.
- 10 A sequenced roadmap with the first build slice and a go/no-go.
Why Orange-ITS
We build, so the call is real
Our default is portable, owned code — the build-vs-buy verdict isn't a vendor's incentive.
Allowed to say 'don't build'
Buy the SaaS, use no-code, or self-host — whatever the ROI and your data say.
Swiss data-residency depth
Design self-hosted or Swiss-hosted stacks on cost and control terms, where they actually pay off.
No hidden vendor deals
No referral fees from cloud or model vendors — every recommendation is scored the same way regardless of which stack you land on.
Governance designed in, not bolted on
Eval, observability and audit trails are part of the architecture from day one, not a retrofit before an audit.
We hand it off properly
Paired sessions, not a slide with your name on it — your team runs the first slice with us before we leave.
Book the AI-Native Architecture Workshop
Tell us the process or the build-vs-buy decision you're facing. We'll confirm format and scope, and reply within one business day.
Frequently asked
Will you build anything in the workshop?
No — we design and decide. You leave with architecture, a decision matrix and a roadmap. The fee is largely creditable if you proceed to a build with us.
Is this tied to a specific stack?
Model-agnostic. We work from your real systems and recommend managed, open-weight/self-hosted or Swiss-hosted as the cost/control case dictates.
1-day or 3-day?
1-day re-architects one process; 3-day produces a reference architecture and build-vs-buy across a portfolio of use cases.
Could we just prototype this ourselves with an API key?
You could get a demo running that way. A weekend prototype won't give you a defensible build-vs-buy call, an eval plan that survives contact with real data, or someone telling you the self-host math doesn't work yet at your volume.
How do you decide self-host vs. managed API without a bias toward either?
We score every component on cost, compliance risk, operational burden and where it earns you a real edge — the same criteria regardless of your token volume or team size. If the API wins on your numbers, we say so.
What if we don't have eval or observability tooling in place yet?
Most teams don't, going in. Part of the workshop is deciding what to instrument first and what can wait — you don't need a full observability stack before you ship the first slice.
What happens after the workshop?
You leave with a roadmap and architecture your team can run alone. If you want us on the build, we can stay for the first slice — that's a separate scope, not something we assume.
Get the architecture right before you build
Book the workshop and leave with a buildable, sequenced plan you own — no metered platform, no lock-in.