From understanding AI
to running it in-house.
SDEN is your AI adoption partner. We train your teams, tell you where AI is actually worth it, build the systems that run in production, then hand you the keys. Horizontal, global, remote-first.
Trusted by
Three offers, one path to AI autonomy.
Understand it, decide where it's worth it, build it, run it, then own it. SDEN's three offers are the rungs of one ladder. You can step on at any rung; the endpoint is always the same: your team masters AI in-house.
Get your teams fluent in AI, governance, and the EU AI Act.
Programs are built around your roles, not a generic syllabus: executive briefings that frame the strategic and regulatory stakes; role-based upskilling tracks for the teams who will actually use AI; hands-on sessions on prompting, tooling, and the patterns that hold up in production; and governance workshops covering the EU AI Act, risk classification, and responsible-use policy.
Deliverables
- A training plan mapped to your roles and seniority levels
- Live sessions (remote), recorded for replay and onboarding
- Hands-on exercises on your real use cases, not toy demos
- A draft internal AI-usage and governance policy
- A competency baseline and an after measure to show the lift
Find where AI is worth it, what's risky, and what to do first.
An engagement runs through an AI-readiness assessment of your processes, data, and security posture; use-case discovery and prioritization scored on value, risk, and effort; build-versus-buy calls for each candidate; and EU AI Act risk classification where it applies.
Deliverables
- A prioritized use-case register, scored on value × risk × effort
- A risk register, including EU AI Act classification where relevant
- Data- and security-readiness findings
- Build-vs-buy recommendations per candidate use case
- A sequenced roadmap with go / no-go per initiative
- A board-ready recommendation
Design, build, and operate production AI, then hand it over.
This is where SDEN's eight engineering capabilities come together: AI and machine learning at the core, on a foundation of software and mobile development, cybersecurity, cloud, data, design, DevOps, and embedded systems. One accountable team, no coordinated seams between vendors.
Deliverables
- A production AI application or workflow, live and monitored
- Code in your repositories from day one, with IP transfer in the contract
- Evals, guardrails, and cost ceilings wired in
- Runbooks, monitoring dashboards, and an on-call playbook
- Documentation written for the next engineer who joins your team
- A defined support window, then a clean operating handover
From your ambition
to a product in production.
We don't deliver promises. We deliver software in production. The same engineering method, applied to every engagement.
We analyze the need, the constraints, and what's at stake, then lay down the technical architecture, before writing a single line of code.
Four core capabilities.
One engineering standard.
The disciplines we mobilize to build and run your AI: from architecture to production, owned end to end by one senior team. They power the Build & Run offer.
Get fluent in AI,
for free.
Before you buy or build, learn. Five courses from fundamentals to security, head-to-head model guides, hosted tools, and a library of prompts that survive model upgrades.
Buy what we build,
from a guide to a running agent.
The productized, self-serve on-ramp to our three offers: playbooks and prompt packs, hosted tools, productized agents, and done-with-you engagements.
Unlimited prompt rewrites and critiques. Monthly.
Unlimited scored readiness reports for your team and stakeholders.
A deploy-ready support agent: your help center, your tone, your handoff rules.
How an AI-native team works.
A look inside SDEN: the technologies we run, the AI agents live in our own production, and how an organization becomes AI-native, from the software to the people. The same path we take clients down.
- The stack and AI agents we run in production
- How we operate: evals, guardrails, on-call
- Becoming AI-native, from software to people
Security is not optional.
Security is an engineering discipline, not a checkbox. It's built in from the architecture stage, on every delivery, with no extra configuration and no compromise.
Data protection
Encryption, isolation, and access control applied to every delivery.
End-to-end encryption
Data encrypted in transit (TLS 1.3) and at rest (AES-256), with keys managed and rotated regularly.
Access control & MFA
Multi-factor authentication, SSO, and granular role-based permissions across every application we ship.
Data isolation
Multi-tenant architecture with strict separation: each client's data stays their own.
Deploy in your region
Deployed in the region you require (US, Canada, or EU) with encrypted, restorable backups.
How AI is rewriting
business operations.
One cornerstone article per engineering discipline: what AI changes, what it does not, and how a senior team ships the difference.
RAG for business: building knowledge assistants that actually work
Retrieval-augmented generation grounds AI answers in your data. What RAG is, when it beats fine-tuning or a plain prompt, and what separates a knowledge assistant you can trust from a demo.
AI agents for business: where they work, and where a workflow wins
Agents are powerful and easy to get wrong. When a task genuinely needs an agent, when a plain workflow is the better answer, and how to keep an agent safe and affordable in production.
What it means to be an AI-native organisation
An AI-native organisation is built around AI from the start, not bolted onto old processes. What that means, what it is not, and what it changes for the business.