Vivicta · Orchestration Engine

3 slides

We drive growth through areas where Vivicta can lead

Growth pillars

Orchestration
Engine

Establish the control plane that steers customer data, applications and infrastructure — and governs how AI is allowed to see, decide and act on that estate.

  • Estate control — applications, data, ERP, hybrid and multi-cloud
  • AI orchestration — evidence, permission, routing, and actuation gates
  • Binding governance — security, compliance, and sovereignty on systems and agents

Agentic
AI Stack

Deliver AI solutions and domain-specific agents that run inside the engine’s permission model.

  • AI advisory and opportunity mapping
  • Data-for-AI and agent development
  • Managed operations of approved agents

Sovereign
Services

Enable sovereign control and operation to ensure security, resilience, and efficiency.

  • Managed services and infrastructure
  • Sovereign cloud and applications
  • Sovereign AI platforms and data
How AI may run
What is built and sold
Where it runs

The engine governs permission. The stack builds the agents. Sovereign services host them.

Customer
transformation

We are the trusted long-term partner and advisor helping customers reshape their operations.

  • Proactive customer engagement beyond today’s service scope
  • Delivering business outcomes
  • Expertise and advisory in selected areas

We make everyday easier through technology  |  We deliver with grit

Background · Orchestration Engine

Why AI orchestration belongs here

The Engine’s AI kernel is the reusable control plane. The cognitive model is what we design per demand. Domain agents are what we sell on top — and they only run if the kernel says GO.

1 · Trust

Trust is an effect

Not a feature you add. Bounded evidence, closed-world permission, independent check, publication gate. Missing those, “high trust” is a slogan.

2 · Demand

Same kernel, different constitution

99% — clinical, bank, insurance, legal, or high-risk use of the outcome — and a draft. Different rules, same machinery.

3 · Method

How the model is built

The kernel is runtime. The method is the product: turn how the work is done into a constitution. Without a procedure, every project reinvents the model.

4 · Law

Rules in the permission table

AI Act, GDPR, sector rules become: what may be seen, which inferences are allowed, which outputs need a human, what must be logged. Compliance and trust are designed-in.

5 · Learning

Sandbox of the same kernel

Not a fifth kernel. Shadow-run, measure BLOCK / WARN / GO, promote: sandbox → shadow → advise.

Before the theme is complete

  • Three gates, not one solution structure. Permission: what an agent may see, conclude, and act.
  • Closed-world tactics. If the model can invent a decision or an action, you have a lottery with APIs.
  • Evidence as an object. Packetize, bound, hash, DLP.
  • Generation is not judgment. The worker that drafts is not the worker that signs.
  • Identity, version, replay. If you cannot replay it, you cannot defend it.
  • Human roles designed in. Escalation, override, the person who must live with the answer.
  • Estate binding. The kernel does not replace applications, data, ERP, or hybrid / multi-cloud.

Orchestration Engine · AI orchestration

Reusable kernel

A procedure that asks “structure + model + assurance class?” is reusable — and that is what belongs inside the Orchestration Engine.

1 · Structure

The kernel

The control plane. Reusable machine from workshop draft to solution.

  • See / decide / act as three gates
  • Evidence in, permission, independent check
  • GO / WARN / BLOCK before anything is published or done
  • Changes rarely — only if control semantics change

2 · Cognitive model

The constitution

Questions, criteria, allowed reasoning, what counts as evidence.

  • Authored per domain and per case
  • This is where the work is designed, not the platform
  • No model + high assurance = do not start
  • Reusable across customers once the domain exists

3 · Assurance class

How hard the gates slam

Different demand does not mean a different kernel. It means a different profile.

  • Draft — idea, cheap GO, human optional
  • Advise — independent check; human on WARN / BLOCK
  • Assure — 99%: dual check, named human, high BLOCK is a feature

The procedure

  1. Validate the caseWhat is the demand? What is the harm if we are wrong?
  2. Bind the classDraft / Advise / Assure — before any model is loaded.
  3. Load or author the modelQuestions, criteria, evidence bar. If Assure and no model: stop.
  4. GO / NOGO to startSame kernel, sandbox first. Promote: sandbox → shadow → advise.
Same kernel. Different profile.
DemandEvidence barIndependent checkHuman judgement
Draft / ideaLowOptionalOptional
Normal advisoryMediumOnOn WARN / BLOCK
99% — clinical, bank, insurance, legal, or when the outcome is used in a high-risk caseHigh, closed-worldMandatory, dualNamed human on residual risk

99% is a system property, not a model-quality target. AI runs inside the estate — only if the kernel says GO.