Janis Tirtey
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[ Diagnostic ] Operations Diagnostic Kit

Before we build, we find the right processes.

Most companies automate the wrong thing first. In a five-day audit I show you which three processes have the largest leverage, with data instead of gut feel. Calendar mining, Slack pattern scan, shadowing, tool inventory. Output is a Process Register with 40 to 80 entries, top 10 ranked by EUR per year leverage.

[ 01 ] Four data sources

We collect hard data, not target processes.

Function leads describe the target process. The real process lives in calendar, Slack and tool invoices. Four sources, parallel to the workshop day, fill the Miro board with reality.

Source 01

Calendar Mining

Every recurring meeting in the last 90 days is a process candidate. If you sit in five hours of status calls per week, there are processes behind them that no BPMN diagram shows. This source alone surfaces the most frequent bottleneck in 80 percent of engagements.

Source 02

Slack & email pattern scan

Top 20 channels by volume. Search for three phrases: can someone, status, blocking. Each phrase marks a handoff that goes wrong or a question that is tribal knowledge. Output: hit list with channel, phrase, frequency per week.

Source 03

Shadowing

90 minutes per function lead, on a real ticket. One question is enough: what are you doing for the third time this week? You catch processes nobody documents because they seem too trivial. Those are the ones that add up to half an FTE.

Source 04

Tool & invoice inventory

SaaS invoices over fifty euros per month. Every tool has a process behind it. The real stack is never the documented stack. Tools without API show copy-paste workflows, tools without owner show processes that fall apart when X quits.

[ 02 ] Five bottleneck markers

Where the L3 frame burns.

On the detailed BPMN frame of every top-15 process we stick five colored markers. A quick glance at the board shows the most expensive box.

Handoff

Team change mid-process. Every handoff costs wait time and re-briefing.

Re-keying

Data manually copied between systems. Typo risk, always the same person.

Wait time

Approval queue, batch run at month end, slot at the senior. Sits idle, costs cycle time.

Tribal

Only one person knows. Sickness or vacation kills the process.

No API

Tool forces copy-paste. Automation fails because of this, not the model.

[ 03 ] Priority scoring

From could to should.

Five axes, 0 to 3 points each. The sum is the score, the score lands in a quadrant. No more gut-feel discussion, only assumptions per axis.

Achse
Zero points
Three points
Frequency
less than once per month
daily, high volume
Standardizability
judgment call, relationship
rule based, decision tree
Data availability
PDF, mail, tribal
structured, API, webhook
Risk on error
customer money, compliance
internal, reversible
ROI lever
less than 2 h per month
more than 40 h per month × senior salary
FormulaPriority = (h per week × EUR per h) × Pain (1 to 5) × Frequency (1 to 3)
Pre-decision

Should I build custom at all, or will a SaaS tool do?

Honest comparison: 10 axes, decision tree, quadrant. So you do not buy the wrong tool.

Read the comparison
[ 04 ] Quadrant map

Where the process lands decides what happens next.

Volume times ROI on the X axis, standardizability on the Y. Four cells, four recommendations. Quick wins ship first, strategic plans as a quarter, wait waits for better data, do not automate keeps the human.

Standardizability
Strategic · 9 to 11 points
SIM activation triage · 12Quarterly reporting · 10

Quarterly project, agent with carrier API, runbook, eval setup. No sprint, no big bang.

Quick Win · 12 to 15 points
Refund under 50 EUR · 14Carrier reconciliation · 12

Week sprint, n8n plus Slack approve. First run live in two weeks.

Do not automate · 0 to 4 points
Enterprise carrier negotiation · 4Board pitch · 3

Relationship beats tooling. Keep the human, possibly a briefing agent in layer B.

Wait · 5 to 8 points
MNO contract review · 6Forecast model · 7

Fix data or SOP first, then re-score. No structured data means no agent.

Volume / ROI
[ 05 ] Output day five

What lands on your desk after the audit.

Four artifacts. Not a PDF with strategy advice, but a concrete backlog for the next twelve weeks.

Artifact 01

Process Register sheet

40 to 80 entries with owner, frequency, pain, volume, current tools. Top 10 ranked by EUR per year leverage and quadrant.

Artifact 02

Miro board with three frame rows

L1 helicopter journey, L2 stage map per AAARRR stage, L3 BPMN detail for the top 15 processes. Every top-10 row in the sheet links directly to its L3 frame.

Artifact 03

Fixed-price sketch per phase

Per prioritized process: recommended phase (pilot, hardening, rollout), fixed price, success criterion in writing. You decide phase by phase, no big-bang commitment.

Artifact 04

DPA template and GDPR briefing note

German DPA template plus a briefing note for your data protection officer. The GDPR path is open from day one, not week eight.

[ 06 ] Anti-patterns

Eight ways to burn yourself.

I see these eight mistakes in almost every audit. If you have one running right now, say so in the intro call. We start with the hammer test, not with tool choice.

Big-bang RPA initiative without journey map. Result: tooling for processes nobody needs anymore.

Six-month consulting study. Something must run after four weeks, otherwise the sponsor loses the mandate.

Most expensive problem first instead of most frequent and easiest. You burn the goodwill on the first use case.

Agents without escalation path and audit log. The first error and the whole setup is on trial.

Tool choice before problem choice. Whoever starts with n8n or Tasklet bends the process to the tool, not the other way around.

Black-box agents in customer-facing flows without human in the loop. One press incident stops the program.

Optimizing what should be killed. Hammer test first: do we still need this process at all.

Tooling without eval setup. You do not know if it gets better or worse, only that it runs.

Ready for the diagnostic?

Five-day audit. Fixed price from 4,800 EUR. Output is the four artifacts above, not a PDF. DPA template and GDPR briefing note attached on day one.

(c) 2026 Janis Tirtey Consulting. Kraków, Poland.GDPR-compliant, EU data residency, DPA per Art. 28.