Agentic operations are here. Is your operation ready?

We make your operation clean, compliant and agent-ready. Then we put agents to work, with your people in control.

Book a free 30-minute call

Free consultation · then a typical agreement from €500/month as your remote operations & AI-workflow admin · a price you know before you start

The quick check

Is your operation agent-ready? Eight checks, and how we fix each one.

Tap the ones you recognise to see our approach

If you recognised three of these, you already know. It didn't happen because anyone failed. It happened because nobody owns how the work runs — that job doesn't exist yet. Switching an agent on here doesn't fix the mess. It runs the mess faster.

The payoff

Where does AI actually pay off in your operation?

Not in a chatbot bolted onto chaos — on the board your team already stands around. The modern agentic Kanban keeps work visual and shared, the thing that holds a team together, while agents run the routine cards alongside your people.

Every column connects to a goal. That focus is what kills dark work — effort nobody sees, serving no objective — and it's how you keep control while agents move the work.

ObjectiveOnboard new clients in half the timeevery column below serves it — work that doesn't is visible immediately
Intake
Agent

Slack request → scoped ticket, criteria attached

In progress
Team

Client data migration plan

Agent

Three stale tickets chased and revived

Review
Agent

Release notes drafted from the real tickets

You approve

Done
Team

Access scoped to purpose, fully logged

Example

The intake agent

Requests from email and Slack land as scoped tickets with real acceptance criteria — routed, labelled, missing info chased — before your people spend a minute on them. One less reason work jams at the same points.

Every workflow like this starts with clean foundations.

What waiting costs

The mess is quiet. The cost isn't.

Survival

Competitors are getting ahead with AI

While your work sits stalled, rivals are shipping with AI. The next few years will be survival of the AI-capable — every quarter you wait, the gap compounds. Waiting is a decision too. It's just the worst one.

every quarter you wait →
Money

You're paying for what nobody uses

Every client we've engaged was paying for seats and functions they don't use — money thrown away every single month. Found and stopped on day one.

every quarter you wait →
Waste

You're working on the wrong stuff

The loudest request wins the sprint while the important work waits. Every week spent on the wrong thing is payroll buying nothing.

every quarter you wait →
Exposure

Your data is more exposed than you think

On every instance we've checked, sensitive data sat where the wrong eyes — people, and now AI agents — could reach it, quietly breaching GDPR and the new AI rules. Your data needs protecting. One session locks it down and makes you compliant.

every quarter you wait →

Illustrative — the shape, not the numbers. Each of these compounds quietly while nothing visibly breaks.

Your team isn't lazy. They spend the day firefighting: reacting, blaming, stalling. Meanwhile the planning tools you already pay for sit unused.

Safety & compliance

Safe before switched on.

The hard part of AI isn't switching it on — it's trust. Most teams aren't sure how to use it, or whether to rely on it. We bring the practical workflows and real examples for your industry, set the guardrails that make it safe, and get the team doing real work with AI — not a pilot that fizzles.

A senior team certified across Agile coaching, product leadership, Scrum and Jira administration — trained in AI-driven delivery (AI-DLC) and bringing AI into working teams daily, not just into slide decks.

1Confluence — governed intentvision · plans · decisions, one source of truth
2Rovo — scoped gatewayagents see only what they may
3Jira — people + agentspermissioned, logged, approval-gated
4You decidea human signs off what ships

learning flows back — the loop gets faster every cycle

Getting AI-ready starts with the foundations.

We'll tell you exactly where you stand. Book a free 30-minute call, or see the full AI-ready approach.

Book a free call
Goals, not guesswork

Every work item points at an objective. Progress updates itself.

Work drifts because nobody can see which objective a ticket serves. We link work to your OKRs at intake — across both ways your teams work — so progress rolls up from the work itself instead of being rebuilt in a spreadsheet the week before the review.

ObjectiveOnboard new clients in half the timeExample

Key results — updated from the work, not from a status meeting

Median onboarding time: 21 → 10 days62%

Fed by these cards from the board above

Client data migration plan+12%
Slack request → scoped ticket, criteria attached+6%

rolled up from 14 work items this week

No handover without written context40%

Fed by these cards from the board above

Three stale tickets chased and revived+9%
Access scoped to purpose, fully logged+5%

an agent flags every ticket that lacks it

Both ways your teams work feed the same objective

Traditional workflows

Kanban, Scrumban and Scrum boards. Every ticket carries the objective it serves, set at intake — not bolted on at quarter end.

AI-DLC workflows

Agent-driven delivery: intent in Confluence, work units in Jira. Agent output reports against the same key results as everyone else.

We guide you on systems of work that keep the organisation on track.

Then the free 30-minute call pays for itself.

Book a free 30-minute call
The part that compounds

Every cycle teaches the next one.

Most operations lose what they learn. A decision gets made in a meeting, works, and is forgotten by the next quarter. When intent, work and outcomes live in one governed loop, the learning stays in the system — so the operation gets better at running itself, and leadership steers with what actually happened instead of what got reported.

1

Decisions stay where the work is

Why something was done sits next to what was done — readable by the next person and the next agent.

2

Each cycle starts further along

What worked becomes the default. What didn't stops being repeated. The loop gets faster because it stops relearning.

3

Leadership steers from the real thing

One coordinated view across teams and agents — where work stalls, which handoff leaks, what to unblock first.

This is a direction, not a promise. It shows up as fewer repeated mistakes and shorter cycles — not as a transformation slide.

See the leadership view
The backbone

Certified across the whole system of work.

Atlassian platform

ACP-120 Jira Cloud Administrator

Agile & product leadership

CSPO · A-CSPO · CSM · A-CSM · CSP-M · CAL-1

Flow & goals leadership

Value Stream Mapping · Kanban Metrics · OKR Facilitation

AI-driven delivery

AI-Driven Development Lifecycle (AI-DLC), AWS

Scrum Alliance speaker, 2024–25 — we teach this, not just run it.

Case study

SurfOps

A Czech sports operator needed an agentic approach to running large-scale watersports operations. We built SurfOps: intent captured in Confluence, work run and governed in Jira, agents doing the heavy lifting with people in control. A live operation, not a pilot.

The way out

Three layers of service. Each one moves your operation closer to agent-ready.

We don't arrive with a method to impose. We start with what your operation is for. Then we fix what stands between you and that.

Start here

Standard Foundations

  • Recover license costs from inactive seats
  • Access scoped to purpose — the data-by-design base AI needs
  • Compliance scan: keys & personal data out, before an AI can surface them
  • Confluence as one source of truth — what Rovo and agents answer from
Explore
Put agents to work

Tailored Operations

  • Workflow design by diagnosis — Kanban, Scrumban, Scrum or AI-DLC
  • AI agents woven into the flow — with guardrails and approval gates
  • Your flow jams exposed and unblocked
  • OKR-linked reporting: progress you can prove, not claim
Explore
For leadership

Advanced Flow

  • Value stream mapping that finds where delay actually lives
  • Flight Levels: one coordinated view over people and AI agents
  • The AI-DLC engine underneath — an operation that learns every cycle
Explore
Every layer moves you closer to an AI-ready operation.See the AI-ready path

Running on Jira today?See how we take over your Jira administration

The easy first step

A price you know before you start.

Affordable expertise for small and mid-sized companies — certified experts you actually talk to, and no licenses to sell you. Start with a free consultation; every paid step fixes something, so you never pay just to be told what's wrong.

STEP 1

Free chat

Free30 minutes · no commitment

We get your situation, your goals, and where your work jams most often. You leave with a first-gap action plan, whether or not we go further.

Book the chat
Typical agreementSTEP 2

Your remote operations & AI-workflow admin

from €500per month · a typical agreement · scaled to the work

We start by delivering your Agentic Operations Playbook — one priority process mapped end-to-end and translated into an agent-driven workflow design — then stay on as your remote admin, keeping it clean and tackling the gritty issues as they surface.

  • Which steps an agent runs, and which a human gates
  • What data each agent may see — permissions by design
  • Priority blockers fixed as they surface
Talk to us

The agreement grows into a sustainable, interactive plan covering security and compliance, workflow design and use, best practices, and a user audit. It scales from a first clean-up to org-wide OKR alignment.

Jira, or something else? Our certifications are Atlassian and we run Jira daily. If your work lives in ClickUp, monday.com or spreadsheets, we start the same way. If a move into a clean, agent-ready Jira is the right answer, we say so and we do it.

Already tidy? Then you're closer than most. We map your first agent workflow instead of cleaning up.