Workflow mapv1 install
TriggerNew deal created
ResearchCompany + stakeholders
SynthesizeInsights + opportunities
DeliverBrief for outreach
Memory update · store key facts · owner review
Managed AI Agent Operator
Managed AI agents for founder-led teams.
I install and operate one AI operator around a real workflow. You do not manage prompts, tokens, APIs, models, or infrastructure. You judge the work, and I keep the operator useful.
One workflow first
Company memory
Scoped tool access
Weekly improvement
Built from the operating system behind STI, Smilio, AccessiGuard, CalmShoot, and PrimeVault.
Memory note
ACME Inc. — Key context
- Expanding into DACH region
- Pricing pressure from ACME Pro
- Decision committee: 4-6 people
- Next event: ProductDays, June 10
Last updatedMay 8, 2026
Operator tasksToday
- Research ACME Inc.Researcher
- Stakeholder mappingSynthesis
- Draft outreach briefWriter
- Update CRM + taskOperator
Weekly improvementLast 6 weeks
Mar 31Apr 14Apr 28May 5
The Proof
I run this system in my own business first.
Most teams have AI tools. The gap is a managed operating layer that remembers context, follows rules, uses the right tools, and gets repaired when reality changes.
Agent operating system
Maria, Phil, Jarvis, PrimeVault, and Linear form a working loop for context, implementation, research, and task truth.
Live product work
The system supports STI, Smilio, AccessiGuard, CalmShoot, and a full AI-assisted publishing pipeline.
Internal operations, 3 months running
Four products run through a 2-person operator team: STI (trail-running training plans), Smilio (dental hygiene SaaS), AccessiGuard (consulting offer), CalmShoot (photographer workflow tool). The managed agent layer carries cross-product context, decisions, and handoffs through PrimeVault as shared memory and three specialist operators (continuity, implementation, research). Context-switching across products dropped from ~30 minutes to ~2 minutes per switch. 50+ project handoffs survived without context loss. The system you'd buy is the system this case study runs on.
Operating since February 2026.
The Offer
Buy back senior attention, one workflow at a time.
You do not choose models, wire APIs, manage memory, debug prompts, or babysit infrastructure. I manage the operating layer; your team reviews the work.
30-Day Pilot
Managed AI Operator Pilot
EUR 3,500-5,000One approval-based operator producing useful work inside one real workflow.- Workflow map and success criteria
- Company memory and operating protocol
- One named digital operator
- Scoped tool connections where useful
- Real work in weeks 2-4
- Repair, narrow, or stop if it is not useful
Retainer
Managed Operator Retainer
from EUR 2,000/moOngoing management once the first operator is useful.- Weekly workflow improvement
- Memory and protocol hygiene
- New skills as needs emerge
- Monitoring, repair, and owner support
- Monthly operator report
30-Day Playbook
Start narrow, then improve in public view of the owner.
The first month is designed to avoid vague AI appetite. We pick one workflow, run real work, inspect failures, and stabilize before expanding.
Diagnose
Collect examples, map the current process, define success, unsafe actions, and escalation rules.
Install
Create memory, instructions, templates, and scoped connections for the first operator.
Run real work
Execute live tasks, compare against the human workflow, and repair the weak points.
Stabilize
Document the cadence, hand off the request process, and decide whether to continue on retainer.
Fit
Best for teams with real operational drag.
Good fit
- Founder-led agencies and product studios
- SaaS and expert-service teams with 5-50 people
- Clear owner for one messy workflow
- Enough examples to train the operating context
Not the first fit
- Prompt-template or workshop-only requests
- Enterprise procurement cycles
- Regulated workflows where compliance dominates
- Teams that cannot name one concrete workflow
FAQ
No AI theatre. No plumbing burden.
Do we need to understand models or tokens?
No. That is the point. I manage the agent layer; you judge the work.
Will it send things automatically?
Not at first. The first operator is approval-based unless we explicitly agree otherwise.
What do we need to prepare?
One workflow, 3-5 real examples, and 30 minutes per week for feedback.
What happens if it is not useful?
We narrow the workflow, repair the operator, or stop. You do not get trapped in AI theatre.
Can this touch our tools?
Yes, where useful and safe. Tool access is scoped, documented, and added only when the workflow needs it.
About
The system on this page is what I run my work through every day.
I am Zdenek. I build products with an AI agent organization instead of a traditional team. My current focus is turning the operating system I use internally into practical managed-agent setups for founder-led businesses.
Background: software founder, multiple shipped products, current empire = STI, Smilio, AccessiGuard, CalmShoot. The system you see on this page is what I run my own work through every day.
First Step
Send one workflow that eats too much senior attention.
Send the messy workflow on LinkedIn. I will reply with a one-page operator blueprint, or tell you honestly that I would not start there.
Send one workflow on LinkedIn