Enterprise OS · white-label · multi-model · v2.1.0 production

Your company, run by a digital C-Suite.

You— Founder or Director, set the direction
11 C-Levels— strategy and coordination by domain
94 Specialists— 24/7 execution across 14 areas
Multi-model routing 40+ native integrations Per-company persistent memory 7-year audit trail White-label per tenant

Marketing, Sales, Finance, Accounting, Procurement and 9 more areas. A digital C-Suite where specialists analyze, propose and execute — and you approve.

14 areas · 94 specialists · 11 C-Levels
Each dot is a specialist. Each ring, a C-Level that coordinates them.
C-Suite 11 coordinators

Running a company costs more every year.

01 Your team drowns in ops, not strategy.
02 Every area asks for more headcount each quarter.
03 External consultants cost a fortune and leave.

Meanwhile, your real C-Suite still has only 24 hours a day.

A specialist thinks, executes and proposes. You decide.

01 · Detect

Triggered by schedule or signal.

Each specialist lives inside an area and fires on the business calendar — pre-close, Monday 9am, end of month — or on a data anomaly.

Sales Marketing Finance Acct. Procure HR Legal Ops
02 · Execute

Reasons over your real data.

The area's C-Level assigns the right specialist and connects to your CRM, ERP, bank and tools. We don't move your data — we operate on the originals.

$ pipeline_specialist.run()
› reading 128 deals · Q2 forecast
› detecting at-risk deals
03 · Propose

Delivers a reviewable output.

Never executes external-impact actions without your sign-off. You review, edit or reject — the system learns from feedback and runs again with the new instruction.

Q2 Forecast · 3 deals at risk · $82K Review

It's not a chatbot. It's an operating system.

94 specialists · 14 areas

A structured catalog, not a prompt in a text field.

Each specialist has a defined role, tools, model and success metrics. Versioned, auditable, swappable.

  • Dynamic routing — the system picks the right model for cost and latency, not you
  • Native tool-use — specialists execute, not just describe what to do
  • Per-company memory — each one learns your business, not your competitors'
Strategy23%
Analysis44%
Operation33%
Trust

Ready for regulated sectors.

PII encrypted at rest. Mandatory MFA for administrators. 7-year audit trail. Your data never trains external models. Zero data leaves your org without your signature.

Law 19.628 (Chile) LGPD (Brazil) GDPR (Europe) ARCO endpoints
SOC 2 · in progress
Multi-agent workflows

Chain specialists into pipelines that run hands-off.

Strategy → Content → Paid Media → Analytics. If a step fails or needs review, the workflow pauses and waits. If it passes, the next one starts with the previous output. Your domain C-Level coordinates; you approve the critical points.

Strategy Content Paid Media Analytics
Human governance

Specialists propose. People approve. Everything is logged.

Every run, every output, every human edit is versioned. The system learns; you keep control. Founder, Director and Operator roles — granular permissions per area.

Reporting · March P&L ready Approve
Tax · April filing · pending View
Content · 6 posts edited by CEO Log

The system speaks your language, not a generic model's.

Your agents don't guess what «CAC», «MRR», «qualified deal» or «North region» mean inside your company. They learn it from an internal dictionary that you curate, they query, and gets injected automatically into every decision.

1
Vocabulary
Bilingual canonical terms with synonyms and scope notes.
35 terms · 10 domains
2
Taxonomy
Hierarchies of agents, tools, boundaries and industries.
4 taxonomies · 28 nodes
3
Ontology
Inference rules connecting entities through declarative patterns.
7 active rules
4
Tribal Knowledge
Meta-agent that extracts terms from operational history and proposes them for review.
corpus · 30 days
5
Connected Data
Unified lookup: one query resolves term → meaning → real entities.
5/5 layers active
Closed semantic loop

You define the language. They respect it on every output.

When an agent declares it needs vocabulary, the orchestrator loads the agent's domain terms and injects them into its system prompt as an XML-fenced block before the run history. Result: 8 production templates already operate with your internal glossary, not with generic internet definitions.

<vocabulary>
  ## SALES
  deal_qualified · «MEDDIC opportunity ≥3»
  ## FINANCE
  ar · «receivables >30d»
</vocabulary>
Meta-agents that improve agents

The system audits and improves its own specialists.

  • SC
    Skill Curator

    Analyzes real executions and proposes new skills with confidence scores.

  • PC
    Prompt Curator

    Refines system prompts via dual approval flow with quality metrics.

  • AI
    Agent Improver

    Audits real metrics (runs, latency, cost, approval rate) and suggests model changes or prompt refinements.

Inspired by Ivy Captech's framework «AI is Ready, Enterprise Meaning Isn't». Covers all 5 layers of the enterprise meaning model: Controlled Vocabulary, Taxonomy, Ontology + Inference, Tribal Knowledge Capture, and Connected Data. ~96% framework coverage — operational in production.

Every decision makes you a better company.

The system captures how you decide. Next time, it decides the same way — without you teaching it.

Context
what it knows about you
Rules
how it should operate
Reasoning
how it decides and improves
Three internal systems · improving each other · 24/7

The Business Map. Your whole company on one screen.

facinus.com/business-map
Business Map CRM Finance Procurement
Business Map · Marketing
Marketing — 5 active specialists
CMO Coordinator · last run 4 minutes ago · next 09:00
Strategy
cron Monday 9am
ICP & Q2 channelsRunning
Content
on demand
12 posts · 2 A/BReady
Paid Media
daily 8am
Google + Meta · CAC $42OK
CRO
weekly
3 checkout funnel hypothesesPending
Analytics
daily 7am
Exec report · anomaliesRunning
SEO
weekly
Keywords · 14 clustersOK
0
specialists
0
C-Levels
0
areas
0
PII leaks

The next company you build
doesn't need 14 departments.

v2.1.0 · production · white-label