FuturMinds — AI that works in production, not in demos
AI Operations for founder-led businesses

AI that actually works
in production. Not in demos.

I help founder-led businesses deploy AI systems that are secure, reliable, and built to run every day — not flashy prototypes that break the moment real work hits them.

Tell me about your business See what we build
Built on Anthropic ecosystem, OpenClaw & n8n
YouTube
Public playbook — see how we think
Security-first
Least-privilege, reversible, audited
Founder-led
You work with me, not a handoff
Production-grade
Tested, monitored, maintained
The problem

You've watched 50 AI demos. You still don't know what's actually safe to deploy in your business.

01 / THE GAP
Demos aren't production.

A prompt that works once in a demo fails 3% of the time in real traffic. 3% is a weekly PR incident for most businesses.

02 / THE RISK
Nobody pitches security.

Every agency sells magic. Few tell you what happens when the AI is wrong, who sees your data, or how to roll back a bad agent.

03 / THE TAX
Tools alone don't help.

Claude, n8n, Zapier — the tools are ready. Wiring them into your specific business, safely and reliably, is still expert work.

What we build

Three systems. Built to run every day, safely.

Every engagement begins with an Operations Assessment to map what's possible, what's risky, and what's worth building first.

01 — PERSONAL

Executive AI Cockpit

Your own AI command center. Claude Code & Cowork wired into your calendar, email, docs, tools, and team systems — so your assistant doesn't just suggest, it takes action.

BUILT FOR
Founders & CEOs who need real leverage on their own time
→ Multi-tool agent connections
→ Custom skills & playbooks for your role
→ Private, local-first where it matters
02 — INTERNAL

Internal AI Agent Stack

AI agents for your team and workflows. Secure, least-privilege access to your internal data and tools — automating the operational tax that eats your week.

BUILT FOR
Ops-heavy teams drowning in manual work and handoffs
→ Internal knowledge base + agent access layer
→ Workflow automation across your tool stack
→ Monitored, reversible, auditable by default
03 — CUSTOMER-FACING

Customer-Facing AI

Voice & text AI that handles customer conversations using your real knowledge base — not hallucinated answers. Integrated with your CRM, support stack, and escalation paths.

BUILT FOR
Businesses scaling customer volume without scaling headcount
→ Voice + chat, grounded in your real docs
→ Human handoff & safe-fail escalation
→ CRM, ticketing, and telephony integrated
Start with an Operations Assessment

2–3 week deep dive. Diagnosis, roadmap, risk map. Credited against any build we do together.

How it works

Under the hood of each system, drawn simply.

No black boxes. Here is exactly what gets built, where your data lives, and where human control sits.

01 — Personal

Executive AI Cockpit

A mission-control layer you direct, orchestrating multiple specialist agents — each with its own memory and scoped access to your tools. Claude Code, OpenClaw, NemoClaw, Cowork — we pick or combine what fits your setup. MCPs, n8n, and API connectors wire them into your email, calendar, CRM, and docs. Nothing leaves your perimeter.

Multi-agent Mission control Per-agent memory MCP + n8n Your perimeter
Your security perimeter You Mission control Mission Control powered by Claude Code, Cowork, or custom UI Specialist agents — own memory · scoped access Claude Code sandboxed · secure mem · tools OpenClaw open · flexible mem · tools NemoClaw secure · guarded mem · tools Cowork desktop · files mem · tools Automation & connectors MCP n8n OpenAI APIs Zapier Custom skills Your tools Gmail Calendar Docs CRM Slack Drive Each agent has its own memory and its own least-privilege access. Nothing leaves the perimeter.
02 — Internal

Internal AI Agent Stack

Named agents, scoped to specific roles, operating on your internal data with explicit permissions. Approval gates on anything high-stakes. Every action logged and reversible.

Role-scoped Approval gates RAG on your KB Full audit
Your team Ops Sales Finance Agent pipeline Intake agent Enrichment agent Approval gate human-in-the-loop for high-stakes Action agent Internal systems Knowledge base CRM / ERP Tool actions Every action — input, decision, output — written to immutable audit log.
03 — Customer-facing

Customer-Facing AI

Voice and chat grounded in your real knowledge base — not guesses. Confident answers when it knows, clean human handoff when it doesn't. CRM, support stack, and telephony wired in.

RAG-grounded Voice + chat Safe handoff CRM-synced
Customer Phone call Vapi / Retell Web chat site widget SMS / WhatsApp Twilio AI core ElevenLabs voice Claude reasoning Grounded retrieval Your systems Knowledge base real docs, indexed CRM HubSpot / Salesforce Ticketing Zendesk / Intercom Human handoff when unsure Your team No hallucinated answers. When the KB doesn't know, a human does.
Our toolkit

Built on the stack your business already runs on.

The AI stack we build with
ClaudeClaude
Claude CodeClaude Code
CoworkCowork
OpenAIOpenAI
GeminiGemini
OpenClawOpenClaw
NemoClawNemoClaw
LovableLovable
ElevenLabsElevenLabs
n8nn8n
ZapierZapier
LangChainLangChain
Your business stack — we integrate with
SalesforceSalesforce
HubSpotHubSpot
ZohoZoho
ZendeskZendesk
IntercomIntercom
SlackSlack
NotionNotion
Google WorkspaceGoogle Workspace
Microsoft 365Microsoft 365
AirtableAirtable
TwilioTwilio
AWSAWS
StripeStripe

Don't see your stack? We work across most modern SaaS & infrastructure. The right tools for your job, not the ones we happen to sell.

Security & reliability

The question isn't whether AI can do it.
It's whether it should be trusted to.

I don't ship AI I wouldn't be willing to run on my own business. That means answering the hard questions before the build starts — not after an incident.

01
Your data stays where it should.

Least-privilege access, scoped credentials, private deployments where sensitivity demands it. You own your data and your keys.

02
Every workflow is reversible.

Agents can act — but actions are logged, reviewable, and undoable. Approval gates where the stakes are real.

03
Nothing ships until it's tested.

Evals against your real cases, shadow runs, staged rollouts. Production only after it earns it.

04
Monitored from day one.

You see what the AI is doing, when it's drifting, and what it's costing. Transparent by design.

How we work

A clear path from "we should figure out AI" to running in production.

01
WEEK 1–2

Discover

Deep-dive into your operations, tools, team, and the problems worth solving. No generic frameworks — your actual business.

02
WEEK 2–3

Architect

Custom roadmap with priorities, risks, ROI, and a security posture. You see the plan before any code is written.

03
WEEK 3+

Build

Secure implementation with you in the loop. Weekly demos. Staged rollout. Nothing goes live until it's earned it.

04
ONGOING

Operate

Monitoring, tuning, iteration. Your AI stack stays sharp as your business evolves and models improve.

Let's talk

Tell me about your business. I'll tell you honestly if I can help.

A short form — I'll reply personally within 24 hours. No high-pressure pitch — if AI isn't the right answer for your problem, I'll tell you.

Fields marked * are required. Your information stays private. I reply to every qualified inquiry personally, usually within one business day.

FAQ

The questions founders actually ask.

How do you handle our sensitive data?
Least-privilege access is the default. You own your keys, your data, and your deployment. Where sensitivity demands it, we run models or agents in private environments you control. Every build gets a written data-flow document before we touch production.
What does a typical engagement look like?
We start with an Operations Assessment (2–3 weeks) to diagnose what's worth building. If we move forward, most builds run 6–12 weeks depending on scope, followed by an operate phase where I stay on-retainer to keep the system sharp as your business changes.
How do you price?
Fixed-price engagements based on scope, not hourly. After the assessment you get a clear proposal with scope, milestones, and price. No surprises, no scope-creep billing.
What if the AI makes a mistake in production?
The honest answer: every AI will sometimes be wrong. The real engineering is in constraining what it's allowed to do, approval gates for high-stakes actions, human handoff, and full audit trails. We design for failure from day one.
Do you sign NDAs?
Yes — standard mutual NDA before the assessment. Your data, customer lists, and business context never leave the engagement.
Who owns what we build?
You own the code, the prompts, the agents, and the infrastructure. Full documentation handover at the end of every build so you're never locked to me.
What tools and platforms do you work with?
Claude & the Anthropic ecosystem for reasoning. Claude Code & Cowork for agent workflows. Voice providers, vector stores, CRMs, and workflow engines chosen per project. The stack follows the problem, not the other way around.
What happens after I submit the form?
You'll get a confirmation email within a couple of minutes. I personally review every inquiry within 24 hours (usually sooner) and reply with either next steps — typically a 30-minute call to understand your business and your biggest operational pain — or an honest note if I'm not the right fit for what you need. No slides, no pitch.

AI that works every day.

If you're ready to stop running AI pilots and start running AI systems — let's talk.

Tell me about your business