Spark · Decks
SparkOS · Living Software·01 / 10
Print
Spark / OS/ Living software/ v1.0/ 2026

The last piece of
software
your company ever buys.

The self-building operating system for your business. SparkOS is software that learns, adapts, and builds itself around you.

Format10 slides / ~10 min
AngleLiving vs dead software
OutcomeDecide whether to scope the first loop
RING 03 / HUMANSRING 02 / AGENTSRING 01 / WORKFLOWSCORE / INTELLIGENCE

Traditional software does exactly what it was programmed to do.

Nothing more. Nothing less. Every behaviour you want is a ticket, a sprint, a release, a vendor request. The system never learns, never adapts, never improves between Mondays.

Three decades of SaaS produced an industry of static surfaces glued together by humans. The model is unchanged even as the world around it speeds up.

The paradigm shift

Dead software vs. living software.

Dead software · what we've had

Runs when triggered. Forgets between sessions.

Requires a developer to change. Does the same thing every time. Every improvement is a project. Every workflow lives in habits, not code.

Living software · what SparkOS is

Reasons about what to do. Accumulates memory.

Updates itself within guardrails. Adapts to new situations. Every interaction is data the system learns from. Every workflow is an executable artifact, versioned and improvable.

Imagine a colleague who has read every invoice, customer interaction, and report your company has ever produced.

Available 24/7. Connected to the tools. Able to act. Not by remembering — by being the memory.

That colleague does not need onboarding for each new project. They are already onboarded by everything that came before. That is SparkOS.

What's actually happening

Every SaaS vendor is bolting an agent onto their product.

The result is fragmentation on top of fragmentation. Ten agents, ten memories, ten bills, and zero shared intelligence between them.

S / 01

Ten agents, each trapped inside one tool.

Your CRM has an agent. Your help desk has an agent. Your inbox has an agent. None of them talk to each other.

AGENTS PER VENDOR1 per silo
S / 02

Ten memories, no shared context.

Every agent learns your company from scratch within its own silo. No company brain. No cross-system reasoning.

SHARED MEMORY0 between vendors
S / 03

Ten bills. SaaS sprawl dressed as intelligence.

You are paying a premium for each vendor's agent layer, on top of the seat licences you already had.

NET EFFECT+30% spend / +0 leverage

One runtime. All your agents. Connected to every tool you already use.

FIG · 06.1 / LIVING SOFTWARE STACKSCALE 1 : 1ROTATION · ↻ STABLESPARK · OS · V0.4
SparkOS runtimememory · workflows · agents · evals
07 / Why it wins / Renting vs owning

Everything else is
renting.
SparkOS is owning.

01 / Company memory

The system keeps context and compounds over time. Day 400 is informed by day 1. Memory is the moat.

02 / Agent contracts

Clear responsibilities, approvals, logs, and limits. Agents operate from versioned instructions you can read and edit.

03 / Owned infrastructure

Your data, workflows, and operating layer stay yours. The whole layer is replaceable, extendable, yours at handover.

08 / Philosophy / The company is becoming software

The company
is becoming
software.

01 / What changed

Models can now read, reason, and act across the systems your business runs on. The bottleneck moves from code-to-software to company-to-software.

02 / What's required

Rules, workflows, schemas, decisions — explicit, versioned, inspectable. The same engineering discipline applied to how the business operates.

03 / What Spark builds

The runtime that lets your company operate like software: living, learning, improvable. Not a chatbot. A new layer.

Start with one real operating layer. Three phases.

W 01 - 02Phase 01 / Foundation
P / 01

Build the company brain.

Documents, decisions, tools, and workflows mapped into memory. The first version of your operating layer, stood up in an environment you own.

You leave with
Company memory
Workflow map
Tool inventory
W 03 - 06Phase 02 / Pilot
P / 02

Ship the first agent.

One high-value workflow moves from manual coordination to supervised execution. Evals in production. Humans approve at thresholds.

You leave with
First L3 workflow
Eval suite
Approval gates
W 07 - 08Phase 03 / Handover
P / 03

Operate without us.

Documentation, access, governance, and the extension playbook transfer to your team. SparkOS becomes your operating layer.

You leave with
Full ownership
Runbooks + dashboards
90-day extension plan
10 / The ask

Stop renting AI. Start owning the operating layer.

Start with the €5,000 Foundation Track: a 1–2 week diagnostic that ends with your operating-layer map and a scoped first loop. The beta is open.

Start the Foundation Track/hello@sparkcollective.be
SPARK · COMPANY OPERATING SYSTEMS  ·  For the AI era