PLANACTCHECKLEARNagent
01
AI agents
Agents that take a task from request to result: planning, using tools, checking their own work.
- Tool use and permissions
- Memory and context design
- Human sign-off where it matters
01 · Expertise
What we specialise in.
Six fields we work in every day. We go deep on these, and we build our own products on them.
02
Multi-agent orchestration
Many agents working in parallel without stepping on each other: who does what, in which order, with what authority.
- Task queues and lanes
- Isolation between workers
- Different models for different jobs
0102030405✓
card · build · review · proof · merge · human gate
03
Agentic software pipelines
Software written by agents and shipped safely: independent review, automated proof on the exact change, and a person at the gate.
- Agent-written code at scale
- Independent model review
- Proof on the exact version that ships
04
Agent-first companies
Operating models designed around agents from the start: which work moves to agents, and what people do instead.
- Work redesign, not tool rollout
- New roles for people who direct agents
- Measures that show it works
your dataMODELHOSTINGACCESSEXIT
05
Sovereign AI
AI you control: where models run, where data goes, who can access it and how you leave if you must.
- EU hosting and data residency
- Open-weight and frontier model choices
- Exit plans before lock-in
task
safety
cost
06
Evaluation and guardrails
Knowing an agent is good enough before it touches real work, and noticing when it stops being so.
- Task evals from real cases
- Policy guardrails in code, not prompts
- Tracing every action
02 · How we build
Agents do the work. People own the decisions.
Our own products are built by a pipeline of AI agents. It's the same thing we help other companies set up.
- One task, one agent, one isolated workspace.Parallel work that never collides.
- A different model reviews every change.The builder never grades its own work.
- Proof runs on the exact thing that ships.Not on something close to it.
- A person approves every release.Agents propose. People decide.
Saga Labs pipeline · illustrationrunning
builder 01
landing pages
builder 02
importer fix
builder 03
ad creatives
reviewer
independent review
cardbuildreviewproofmergegate
Human gate: nothing reaches customers without a person's approval.
03 · Products
Our first public product.
We build products where agents can take on slow, frustrating work. The first one is compliance.
A Saga Labs product Saga Compliance.
Saga Compliance.
Compliance on autopilot.
When a deal, supplier or launch waits on a compliance answer, Saga Compliance puts the legwork on autopilot. It finds the rules, chases the missing proof and names who decides. A person makes the call.
Customer questionnairesSupplier approvalsProduct launchesAI tool decisions
Saga Compliance · example runAutopilot
"Can your new supplier store our data?"
- 01Collects your factsdone
- 02Finds the rules: GDPR Art. 28done
- 03Chases the retention policyservice lead · Thu
- 04Hands the decision overops director
Unblocked. Ready to sign off.SAVED
Built the same way
Every Saga Labs product is built by the agent pipeline above.
More in the lab
Our next products are in the works. We'll share them when they're ready.
Made in Stockholm
Designed for European companies, with sovereignty built in.
04 · Teaching
We teach what we run.
For more than five years we've taught AI in executive education. We've worked in AI for more than ten. Leaders learn from what we build every day, not from predictions.
Agents in practiceAgent-first operating modelsAI strategy for leadershipSovereign AIAI and regulationBuilding with AI pipelines
10+years working in AI
5+years of executive education
Lectures, workshops and leadership sessionsInvite us →
05 · Sovereign AI
Four questions every European company should answer.
Sovereignty isn't one product. It's a set of choices you make on purpose, layer by layer. These are the questions we help companies answer.
WhereWhere do our models and data run?Hosting, region and every sub-processor in the chain.
WhoWho can access, change or switch it off?Access control, provider terms and jurisdiction.
WhichWhich model fits which task?Open-weight, EU-hosted or frontier, chosen per job.
ExitHow do we leave if we have to?Portability and an exit plan, before you depend on it.
06 · Talk to the lab
Let's talk about agents.
We're always up for a conversation with people building with agents, thinking about sovereignty, or looking for a speaker.
01Exchange ideasYou're building with agents and want to compare notes.
02Invite us to speakLectures, executive education and leadership sessions.
03Ask about Saga ComplianceOur first public product, at saga-compliance.com.