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Enterprise AI / AI-native SaaS

kuos.ai — this very platform

A full-chain consulting SaaS designed, built and operated by a 24-agent digital workforce

kuos.ai — this very platform
All case studies
  1. 1Enterprise demands
  2. 2Solution design
  3. 3PoC / pilot
  4. 4Delivery & rollout
01
Enterprise demands

Prove AI transformation with a real operating company, not slideware

R1

Most AI adoption stories are slideware: pilots that never reach production and demos nobody operates. KUOS needed a reference case with real users, real content, real revenue flows and real governance.

R2

Human leadership sets direction while a specialised digital workforce supports research, content, courses, sales and invoicing without requiring a large internal AI department.

R3

Nothing may ship — article, course or customer commitment — without human approval, with audit logging and GDPR / EU AI Act compliance built in.

02
Solution design

A cognitive workforce with human approval gates, on one stack

  • Deployed a cognitive workforce of 24 AI agents across nine departments — strategy, engineering, content, compliance, sales, customer success and a full university faculty — orchestrated under human leadership.
  • Full-chain SaaS capabilities on one stack: multilingual marketing site, CMS, blog engine, KUOS University, client portal and an ERP back office covering inquiry → lead → quotation → invoice → payment.
  • Multi-agent pipelines instead of single prompts: NOVA researches, PIXEL enhances, SAGE imports to the knowledge base; the university crew designs curricula, lessons, exams and certificates; ERP clerks move deals through quote-to-cash.
  • Agent Studio makes orchestration visual and reusable: a drag-and-drop flow library with sub-flows, built-in workflow nodes, dispatch by key and checkpoint resumption for long-running work.
03
PoC / pilot

The platform itself as the pilot

Duration: Rolling, in production
  • Declared the workforce as data: agent manifests, personas, skills and policy tiers loaded at boot, not hardcoded into prompts.
  • Deterministic multi-step workflows for content, courses and ERP, each saving checkpoints so long jobs survive restarts.
  • Validated in public: the blog you read and the courses you take come from these flows — every visitor interacts with the pilot.
04
Delivery & rollout

From working pilot to client-facing delivery channels

Step 1

Connected the consulting front door to the agent back office: a visitor inquiry becomes a scored lead, a drafted quotation and, on acceptance, an invoice — without human re-keying.

Step 2

Hardened for production: sandboxed code execution with tiered policies, rate limits, audit trails, six-language delivery and a shared headless browser for real web research.

Step 3

Client delivery channels: per-client API keys with rate limits, quotas and usage metering for hosted agents, plus a self-hosted Gitea (gitea.kuos.ai) for private source and image delivery to client infrastructure.

Results

Digital workforce
24 agents · 9 departments

From strategy and compliance to a university faculty, coordinated under human approval.

Full chain
Inquiry → invoice

Consulting pipeline automated end to end: lead triage, quotation, invoicing and payment reconciliation.

Human control
100% approval-gated

Nothing ships — article, course or quote — until a human approves it.

“Every workflow on this site — the article you read, the course you take, the quote you request — is produced by the same agent workforce we deploy for clients. KUOS is not a pitch deck about AI adoption; it is the adoption.”

— KUOS platform team

Tech stack

Next.js 16Express + Drizzle ORMPostgreSQLbetter-authAgent Studio (React Flow)Docker sandboxObscura headless browserGitea + Actions CIKong + Cloudflared

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kuos.ai — this very platform — A full-chain consulting SaaS designed, built and operated by a 24-agent digital workforce | KUOS