01
A time audit before a single line of code
We quantify where hours actually go, per task and per week. Some of what you assumed was expensive turns out to be noise — and something nobody mentioned turns out to be the real cost.
Services 02
Process Automation
We find the repetitive work eating your team's hours and automate it reliably.
Automation fails when it is designed from a flowchart nobody follows. We start by watching the real process — the exports, the copy-paste, the second spreadsheet that exists because the first one is wrong. Then we automate the parts that are stable and leave the judgement calls to people.
- Starts with
- Prototype
- Timeline
- Weeks
- Pricing
- Phased
What this service commits to
- Week 1
- Time audit
- 92/8
- Design target
- 100%
- Runs logged
- Hours
- The reporting unit
Where the hours actually go, measured before a line of code.
Straight-through versus routed to a person. Yours will differ.
Every execution leaves a trace, and every stop raises an alert.
Agreed as a baseline before we start, reported against after.
01Sound familiar?
You are probably here because of one of these.
- 01Someone rebuilds the same report every Monday morning.
- 02Two systems that should talk to each other are joined by a human.
- 03Onboarding a customer means touching six tools in order.
- 04The month-end close depends on one person's spreadsheet.
02What you get
What we actually build.
Fewer manual steps, a documented process, and a number you can put in front of your CFO.
02
Automations that fail loudly
Every automation gets retries, idempotency and an alert when it stops. A silent automation is worse than a manual process, because nobody notices for three weeks.
03
The exception path
The 8% of cases that do not fit the rule are where automation projects die. We design the handoff to a person first, then automate the 92% around it.
04
Measured in hours returned
We agree the baseline before we start and report against it after. If an automation does not pay for itself, we would rather find out in week two than in the case study.
03Where to start
The chart that ends the argument about priorities.
The time audit puts your tasks on two axes before anyone writes code. It is usually the moment a team discovers the expensive work is not the work they were worried about.
Prioritisation
Frequency beats duration, almost always.
Most teams arrive wanting to automate the two-hour monthly job, because it feels heavy. The ten-minute task done forty times a week costs more, is more stable, and pays back sooner.
The time audit puts your tasks on this chart before anyone writes code — and the argument about where to start usually ends there.
Automate firstLater, or never
Automate firstFeels expensive, rarely isInvoice entryOrder confirmationsSupport triageWeekly reportMonth-end closeContract reviewPassword resetsAnnual audit prepRareMany times a week →Hours per run
Positions are illustrative. Yours come from the audit, measured rather than estimated.
Bring us one automation problem and we'll scope it live.
Free, 20 minutes, and you leave with a ranked shortlist either way.
04Build patterns
The shapes this usually takes.
Named patterns rather than a capability list, because the shape of the solution is what determines the cost and the risk.
Inbox to system of record
Incoming mail classified, attachments parsed, records created or matched, and a reply drafted for approval. The most common back-office bottleneck, and usually the cheapest to remove.
Reconciliation runs
Scheduled comparison between two sources of truth, with a difference report that names the row and the reason rather than the count.
Event-driven handoffs
A change in one system triggers the sequence in the others, with a visible timeline so operations can see exactly where a case is.
Typical stack
- Python
- TypeScript
- Workflow orchestration
- REST & webhook integration
- Scheduled jobs
- Observability tooling
05How it runs
Same three steps, every time.
You can stop after any step and keep what has been built.
- 01
Discover
20 minutesA short call to find where AI has the biggest leverage in your business.
- 02
Prototype
Days, not quartersA working proof of concept, so you decide on evidence rather than promises.
- 03
Ship & scale
WeeksProduction deployment, integration, and ongoing improvement.
06Frequently asked
Automation, answered.
Something we have not covered? Ask us directly or mail hello@befzy.com.
Frequency multiplied by handling time, filtered by how stable the rules are. A ten-minute task done forty times a week beats a two-hour task done monthly, and a stable task beats an interesting one. We put the numbers on a single page so the decision is yours rather than ours.
It will, which is why automations are built as small, named steps rather than one long script. Changing a rule usually means editing one step. We also hand over documentation of what runs when, so a change is not blocked on our availability.
In our experience it usually means the same people stop doing the part of the job they dislike. We are happy to build toward headcount reduction if that is your explicit goal, but we will not promise it as a side effect — the honest outcome is capacity released, and what you do with it is a business decision.
There is almost always a path: scheduled exports, direct database access, file drops, or driving the interface itself. These are less elegant and we say so up front, including what would break them. We establish which path applies during discovery, before anything is committed.
07Also from the studio
Next step
Let's see whether automation is your highest-leverage move.
A free 20-minute call, no strings attached. We will tell you where the leverage is — and where it is not.
- No sales deck, no discovery invoice
- You get a ranked shortlist either way
- If AI is the wrong tool, we say so