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faviens

Service · Systems & Applications

Deep Agentic Systems

The path to a more autonomous organisation: workflows that run on their own, with proven savings, established inside your teams.

Selected workflows run on their own for hours rather than minutes: research that deepens itself, changes that implement, test, and evidence themselves. We design and build the systems for it, prove the saving against what the work costs today, and establish the practice inside your teams.

The situation

Assistance saves minutes. The step change happens where work continues for hours without input: research that deepens itself, a change that implements, tests, and evidences itself. That shifts the economics, because capacity stops scaling only with headcount. The price is discipline, because systems that run alone for hours need boundaries, checkpoints, and recovery, or they produce expensive nonsense.

How we work

Candidates for autonomy

Not every task tolerates autonomy. We identify the workflows where long independent work pays back, and quantify the effort sitting in them today.

Deliverable

Selected autonomy-ready workflows with an effort baseline

Harness and architecture

The frame in which a system can work alone for a long time: task decomposition, memory, tool access, checkpoints, recovery after failure.

Deliverable

Harness architecture with abort and recovery points

Orchestration and guardrails

Multiple agents working together without blocking each other, with cost ceilings and hard limits on anything with outside effect.

Deliverable

Orchestration with cost control and escalation rules

Establishing the practice

We hand over more than a system. We hand over the practice behind it: how tasks are scoped, results reviewed, and systems developed further, so your teams carry it on without us.

Deliverable

An established way of working, a reference implementation, and enabled teams

Fields of action

Autonomous research and analysis

Questions that span many sources and many hours, with evidenced results rather than a summary.

Autonomous software development

Changes that implement, test, and justify themselves, embedded in the delivery process and review culture you already have.

Economics and operation

Cost per unit of work, cost ceilings, abort criteria, and the numbers you use to prove the benefit internally.

What you get

  • Selected workflows that run independently over long stretches
  • Harness and orchestration architecture with boundaries, checkpoints, and recovery
  • Cost transparency per unit of work and demonstrable savings against the baseline
  • A way of working established in your teams, not just a system handed over
  • A reference implementation further workflows can follow

Engagement

Duration
Depends on the number and depth of the workflows. We deliberately start with a single one.
Getting started
A joint working session in which we review candidates and quantify today's baseline.
Who is involved

The teams whose work is to run autonomously, as sponsors and reviewers

Engineering and operations for integration, boundaries, and cost control

Leadership for direction and for what happens with the capacity that frees up

Format

Built on a real workflow rather than a demonstrator

Regular checkpoints with cost and quality numbers

Enabling your teams as a fixed part of the engagement, not an appendix

Frequently asked

How do you measure the saving?

Against a baseline taken before we start, and afterwards against the same measure. Without that starting number, any saving is an assertion.

What happens when an autonomous flow gets something wrong?

Boundaries, approval points and the way back are defined before go-live. A flow whose failure case is not described does not go live.

Who owns the code, models, and results in the end?

You do. Code, configuration, and documentation transfer to you in full, in your repositories and your environment. We build so your team can carry on without us.

Where do our data and models run?

In your environment. Your own cloud, your own data centre, or on-premises, in a Swiss or European region on request. Data leaves your environment only for the providers you explicitly approve.

Do you work remotely or on-site?

Both. We are based in Zürich and work on-site across Switzerland; the day-to-day of the engagement works remotely.

Can we start with a small, bounded step?

Yes, and that is the norm. The first slice is deliberately small so something usable exists early and the decision about the next step rests on experience rather than on a plan.

Ready to start?

Let's talk about your project.

info@faviens.com