Solutions / Workflow Automation

The repeatable
work — handled
before it
reaches a human.

We replace the manual steps quietly bleeding hours from your operation with reliable infrastructure: triggered, audited, and resilient enough that you stop noticing it works.

First flow live
2–3 wks
from kickoff
Median ROI
4.2 mo
to break-even
Reliability target
99.9 %
runs delivered
flow.contract_signed
LIVE 2,847 runs · 30d 99.93% ok
Trigger · 1
Condition · 1
Actions · 3
TRIGGER contract.signed in HelloSign CONDITION amount > €5k ACTION · 01 invoice.create → ERP · attach to deal · email AR 312ms ✓ ACTION · 02 slack.notify → #ops · with deal context + owner 89ms ✓ ACTION · 03 calendar.schedule → kickoff · CSM + client · 7-day rule 194ms ✓
RUN #2,847 · completed in 642ms
✓ idempotent ✓ audit-logged ✓ retryable
↳ Real flow from a live deployment. Identifying detail removed.
§ 01 / The leak

The hours
aren't lost — they're
spread across
twelve people
who don't notice.

Every operation runs a hidden ledger of small repeating tasks: copying a field between two systems, chasing an approval, generating the same document for the fortieth time. Individually, none of them feel worth fixing.

Added up — across a real team, across a real year — they almost always come out to somewhere between half and one full FTE.

Sample · 6-person ops team · indicative
Source: 2026 discovery audits, n = 38
01
Moving leads from form → CRM → ERP, by hand
4.0
200
0.10
02
Reconciling vendor invoices against POs
6.0
300
0.15
03
Generating monthly client reports in Excel
5.0
250
0.12
04
Onboarding new clients (12-step ops checklist)
3.5
175
0.09
05
Chasing approvals over Slack / email
7.5
375
0.18
06
Manual quote and proposal generation
3.0
150
0.07
07
Watching dashboards for anomalies
2.0
100
0.05
Total annual drag — what automation could give back
31
1,550 h
≈ 0.76 FTE

↪ Most engagements pay for themselves on a single row of this ledger. The discovery audit is how we find which row.

§ 02 / Grammar

Every flow is
three pieces.

Triggers, conditions, actions. The grammar is universal — what changes is the domain language we plug into each. Once you see it, you can't unsee it.

→ 01 / Trigger what starts it

Something happened.

An event in the world your operation cares about. A row arrived, a webhook fired, a clock struck, a threshold tripped.

  • A new record appears
  • A webhook fires from a third party
  • A schedule reaches its time
  • A threshold or SLA is breached
  • A document gets signed
  • A user takes a deliberate action
→ 02 / Condition what filters it

Should we act?

Where your business rules live: who, when, how much, under what policy. The seam between automation and human judgement.

  • Field comparisons & thresholds
  • Lookups against your own data
  • Approval limits & routing rules
  • Time windows & calendar guards
  • Customer / segment / tier flags
  • Manual overrides & circuit-breakers
→ 03 / Action what it does

Then this happens.

One step or many, fanning out in parallel. Each one observable, retryable, reversible — never a fire-and-forget.

  • Create / update records anywhere
  • Generate & deliver documents
  • Notify, escalate, page on-call
  • Move data between systems cleanly
  • Schedule follow-ups & re-checks
  • Hand back to a human, with context
§ 04 / Reliability

The fear isn't
that automation breaks —
it's that it breaks
quietly.

We build flows the way SREs build production systems: assume failure, design for replay, and surface every fault before a customer ever sees it. None of what follows is optional in our work.
R · 01

Idempotency

The same trigger fires twice — the action runs once. Always.

R · 02

Dead-letter handling

Failed jobs don't disappear. They land in a reviewable queue with full context.

R · 03

Audit trail

Every event, every actor, every state change recorded — replayable months later.

R · 04

Observability

You hear about the fault before your customer does. Always. That's the floor.

R · 05

Human override

Pause, replay, or skip any step. Automation never takes the keys away from your team.

R · 06

Versioning

Flows are code. You can roll back to last Tuesday's version in under a minute.

flows.runs / live
STREAMING
Time UTC
Run
Step
Latency
Status
14:22:08
#2,847
▸ trigger · contract.signed
47ms
14:22:08
#2,847
└ condition · amount > €5k → true
2ms
14:22:08
#2,847
└ action · invoice.create [ERP]
312ms
14:22:09
#2,847
└ action · slack.notify [#ops]
89ms
14:22:09
#2,847
└ action · calendar.schedule
194ms
14:22:09
#2,847
└ run.complete
642ms
14:21:55
#2,846
▸ trigger · payment.failed
38ms
14:21:55
#2,846
└ action · notify.finance [Slack]
78ms
14:21:56
#2,846
└ action · billing.api.retry · attempt 2/3
timeout
14:22:01
#2,846
└ action · escalate.after 5min · scheduled
14:21:42
#2,845
▸ trigger · lead.submitted
22ms
14:21:42
#2,845
└ action · enrich + score + assign
418ms
Last 24h
12,408 runs
Success
99.93 %
P95 latency
487 ms
↳ Live runs panel from a client deployment. The amber retry on #2,846 is what reliability looks like — not a fault, a designed-for case.
§ 05 / Discovery

How we find what's
actually worth automating.

Most failed automation projects automate the wrong thing well. We start with a structured two-week discovery to make sure we don't.

D · 01 days 1–3

Shadow the work

We sit with your operators. Watch what they actually do — not what the process doc says they do.

D · 02 days 4–6

Map the real flow

The actual graph of decisions, hand-offs, and detours. Usually a surprise to the people who run it.

D · 03 days 7–9

Find the seams

Where automation belongs — and where it must defer to a human. Both are equally important calls.

D · 04 days 10

Score & sequence

Each candidate flow ranked by hours-saved, risk, and dependencies. You leave with a numbered roadmap.

D · 05 handover

The written brief

A 12–18 page document. Yours to keep — even if you decide not to work with us.

FIXED FEE — The discovery is its own fixed-fee engagement. Roughly 40% of clients stop here, brief in hand. We're fine with that.

§ 06 / Engagement

Three ways
to start.

Same senior team, different commitment depth. Most clients begin with the Discovery audit and decide from there.

Tier 01 Fixed fee

Discovery

A two-week structured audit of your operation's time-leaks. Output: a ranked roadmap and a written brief.

DURATION2 weeks
TEAM2 senior
PRICINGFixed fee
  • Time-leak ledger for your operation
  • Ranked, sequenced roadmap
  • Written brief — yours to keep
Brief a Discovery →
Tier 02 · most common

Program

End-to-end automation of a defined operational area. First flow in two weeks; full coverage in three to six months.

DURATION3–6 months
TEAM2–3 senior
PRICINGT&M with cap
  • Build, deploy, and operate flows in production
  • Reliability standards baked in (R · 01 to R · 06)
  • Knowledge transfer to your team from week one
Scope a Program →
Tier 03 Long-term

Run

We own and evolve a fleet of flows for you — adding, tuning, retiring as your operation changes. SLA-backed.

DURATION6+ months
TEAMEmbedded
PRICINGMonthly retainer
  • Reliability SLA (target 99.9%)
  • Quarterly fleet review & rebalancing
  • Hand-off plan when you outgrow us
Discuss Run →

↪ Indicative. Every engagement is scoped from a written brief — no per-flow surprises, no change-request theatre.

§ 07 / Proof

A mid-market
fintech replaced
3 ops headcount
with 41 flows.

Hours / week reclaimed
112 h
≈ 2.8 FTE
Run reliability
99.94%
12-mo rolling
Time to break-even
3.8mo
vs 4.2 typical
"We didn't lay anyone off. We just stopped hiring against a problem that
wasn't really a hiring problem."
— COO · Iberian fintech · NDA
§ 08 / Objections

The questions
we hear on
every first call.

Mostly versions of "is this safe", "is this real", and "what happens when it breaks". Fair questions.

Q · 01

"Why not just use Zapier / Make / n8n?"

+
For genuinely simple flows — sometimes you should. We'll say so. But low-code platforms break down at the seams that matter most: domain logic, audit, reliability under load, and integration with internal systems. We use them where they fit and replace them where they don't.
Q · 02

"What happens at 3am when something fails?"

+
The flow retries with exponential backoff, lands in a dead-letter queue if it still fails, and pages on-call before any customer notices. On a Run engagement, that's us. On a Program engagement, it's an alert into your existing on-call rotation, with a full runbook attached.
Q · 03

"Will this replace people on my team?"

+
Almost never directly. The most common pattern is that automation absorbs the part of the work nobody wanted, and your team rises into work that's actually hard. The fintech case above didn't lay anyone off — they stopped hiring against a problem that wasn't really a hiring problem.
Q · 04

"What if our processes change in six months?"

+
They will. That's the point of versioning, modular flow design, and human override — they make change cheap. A flow that took three weeks to build should take three days to evolve.
Q · 05

"Where does AI fit into this?"

+
At the seams where judgement was the blocker — classifying support tickets, extracting structured data from messy documents, drafting first-pass replies for human review. Always behind a human override, always with confidence thresholds, never as the final actor on something irreversible.
Currently accepting Q3 engagements

What's the one task
your team would
stop doing
first?

That's the right place to start. Bring it to a 30-minute call — we'll tell you, honestly, whether it's worth automating and what it would take.