Your enterprise agentic operating system

From an AI tool to an operating layer

An individual AI tool helps produce an answer. An agentic operating layer also needs events, context, tool access, permissions and an accountable owner. We design that layer around existing business systems, without replacing them.

Models are replaceable engines

The Model Router is designed to select an eligible local or frontier model automatically by task complexity, quality, privacy, cost, latency and agreed SLA. Policy defines limits and fallback when an engine is unavailable. GPT, Claude, Gemini, Kimi and local models are considered replaceable intelligence sources, not the foundation of system ownership. Specific APIs, availability and quality are verified per project; these examples do not imply ready-made integrations or partnerships. Each new engine passes quality evaluation without migrating corporate memory or process rules.

What stays in your operating core

• Data, corporate memory and document context
• Processes, ontology and integration contracts
• Agents, roles and access policies
• Decision history and operating knowledge
• Prompts, configurations and evaluation datasets

Data, memory, processes, integrations, policies and agents belong to the customer operating core rather than a single model-provider account. Data ownership and rights to project deliverables, source code and platform components are defined by contract. External model and third-party component licences are considered separately.

Architecture of a governed action

A reference design for architecture planning. Not a live runtime demonstration or confirmation that every module is available in a packaged release.

Deployment modes

Hybrid is a starting hypothesis, not a mandatory topology. Deployment follows data, infrastructure and external-model eligibility assessment. Local models require hardware, performance and task-quality evaluation.

The architecture package includes data flows, eligible recipients, environment requirements and an isolation test plan. Fallback routing never bypasses a data-transfer prohibition.

From one agent to a system of roles

SPECTR Agentic OS → Agent Factory → specialised agents → Control Tower

Agent Factory is the agent creation and testing module in the proposed SPECTR Agentic OS architecture; it can also be implemented independently. Control Tower brings together exceptions, approvals and operating state. Their existing public MVP status is unchanged by this offer.

1. Agent Factory: one role and reference scenarios.
2. Specialised roles: permissions and an outcome contract.
3. Multi-agent workflow: handoff order, limits and shared context.
4. Control Tower: exception queue and accountable decisions.
5. Continuous evaluation: quality and cost checks before expansion.

Security and governance

• Approval gates: financial, legal and irreversible actions require human approval.
• Least privilege: each role gets only the data and tools it needs.
• Audit and attribution: source, model, agent, evidence and outcome are distinguishable in the journal.
• Data boundary: policy defines the data and eligible recipients; any external route requires explicit approval.
• Evaluation and fallback: model changes pass reference scenarios; failures use an approved fallback or go to a human.
• Kill switch and escalation: an accountable owner can stop automated actions and review exceptions.

Scenarios for your first loop

These are possible project scenarios, not a list of already delivered functions. Impact is measured against an agreed baseline; no unverified KPI promises.

How we launch

1. Discovery · 60 minutes: process, data, risk and accountable owner.
2. Blueprint: operating boundaries, model policy and acceptance criteria.
3. Reference agent: one scenario on an agreed dataset.
4. Integrations: contracts, permissions, audit and safe retries.
5. Production loop: testing, runbook, rollback and owner acceptance.
6. Scale: more roles and processes after quality and cost evaluation.

Pricing, timing, licences, support and SLA are agreed after discovery. The 60-minute format refers to the first meeting, not implementation time.

Start with your process