Ex-Scaleway · MCP · Agents

Put AI in production without hiring an agents team

MCP connectors, agent orchestration and controlled cloud deployment — with iASSET gates before every merge. For CTOs and CEOs who want measurable outcomes, not a ChatGPT demo.

4–8 wks

typical POC → prod

MCP + RAG

connected to your systems

iASSET gates

security before every merge

See the pipeline

The AI pipeline, step by step

Each phase = an executive deliverable and a verifiable KPI. Same iASSET workshop logic: spec, gates, prod.

Deliverable

Use case map, sensitive data and system boundaries. Go/no-go report with cost/latency estimate and compliance risks.

Executive KPI

Clear decision

Go / no-go in 7–10 days

Animated journey — hover to pause, click a step to explore.

What it costs you — and what you gain

Trade-offs a CTO or CEO must make — translated into risk and time-to-market.

Without structured support

AI disconnected from systems
Isolated chatbot, manual copy-paste, no access to business APIs
POC that never ships
Laptop demos, no prod pipeline or observability
Compliance risk
Sensitive data, GDPR, HDS — not scoped before deployment
Unpredictable AI costs
Tokens, GPU, inference — no monitoring or guardrails

With JST6 pipeline

Agents connected to systems
MCP + orchestration on your real tools
Prod in weeks
4–8 wks POC → prod depending on scope
Compliance by design
Security gates before every merge
Controlled costs
Continuous AI cost/latency monitoring

Field proof

Agents, MCP and iASSET pipelines in prod — not isolated chatbots.

MCP · Agents

HODOR — identity & policy gateway

Production platform: MCP gateway securing AI agents to GitHub, Notion, Linear, Supabase, Stripe and Vercel. Per-agent identity, granular permissions, full audit trail.

Native MCP protocol
6+ typed SaaS connectors
Centralized governance & audit

MCPNestJSOAuth2PostgreSQLAWS

Visit hodor.ai

iASSET blueprint

OAuth2 & gRPC Gateway — Cursor agents

iASSET case study: versioned spec, Cursor-assisted development, CI spec+security gates on auth gateway and gRPC microservices.

Spec → agents → CI gates
OAuth2, scopes & versioned proto
Human review before merge

CursoriASSETOAuth2gRPC

View gateway blueprint

iASSET blueprint

Gemini CLI pipeline in prod

End-to-end guide: skills, hooks, policy and merge checklist. Industrialize AI-assisted delivery without vibe-coding.

CI skills spec + security on diff
Automated MR via GitLab API
Jest barrier — no merge on LLM output alone

Gemini CLISkillsPolicyCI

Open Gemini CLI guide

3 entry points

Clear scope, clear deliverable, clear decision — not a vague tech catalog.

7–10 days

AI & systems fit diagnostic

On quote

Free 15 min discovery call

Use case & data mapping
MCP or orchestration go / no-go
Cost/latency estimate

4–8 weeks

AI integration to prod

On quote

Scoped perimeter, phased deliverables

MCP servers or API porting
Orchestration & RAG
Cloud deployment + monitoring

Recommended

10-month subscription

AEP workshop — AI included

€4,500/month

Dedicated pipeline · agents · human gates

Product + infra + agents
Systematic iASSET gates
Founding Engineer in command

Discover the workshop

iASSET

AI under the iASSET framework, not vibe-coding

Agents, MCP and orchestration go through the same gates as the rest of the pipeline: spec, security, human review.

Versioned spec before agent generation
Security & compliance gates on every merge
AI cost/latency monitoring in production

iASSET method

15 minutes to scope your AI

We'll identify whether the lever is a diagnostic, a targeted integration or a full AEP workshop.

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