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What we fix · 02

The problems that eat your team's week.

Each one in the words we hear from owners and COOs, with what we do about it and what changes after.

We remove work, not people.

The hours we give back go to the work your team never had time for. We say this to your team on day one, and we mean it.

02 · Overhead

Our overhead keeps growing, but output doesn't.

How to reduce overhead costs with automation: find the admin hours, remove what shouldn't exist, and measure the result.

  • Admin hires every year
  • Same output, more people
  • Nobody can say where the hours go

What we do

  1. 01We count the admin hours, process by process.
  2. 02We remove the steps that exist only to move data.
  3. 03We measure the overhead again when we're done.

What changesExample

MeasureBeforeAfter
Admin hours a week9658
Share of admin in each role30%18%

Admin requests handled by rules

  1. Admin request
  2. Rules check it
  3. Filed
  4. Weekly report
Start with an audit

03 · Manual processes

Everything goes through three people and a spreadsheet.

Automate approvals and data entry: invoices, orders and requests move by rules instead of email chains and re-keying.

  • Approvals by email
  • Re-keying between systems
  • One person on leave stops the line

What we do

  1. 01Approvals move into one rule-based flow.
  2. 02Data is entered once and flows to every system.
  3. 03Exceptions go to a named person, with context.

What changesExample

MeasureBeforeAfter
Hours a week on supplier invoices469
Days from invoice to approval61

Supplier invoice approval

  1. Invoice email
  2. Extract
  3. Match PO
  4. Approve
  5. Post to ERP
Start with an audit

04 · Project visibility

Nobody knows where a project stands until it's late.

Project visibility for operations teams: status computed from the work itself, with risks flagged before the deadline, not after.

  • The tracker is out of date
  • Status meetings every week
  • Late projects found at the deadline

What we do

  1. 01Status is read from the work, not typed by hand.
  2. 02Slipping tasks alert their owner automatically.
  3. 03Leadership sees one live view, no meeting needed.

What changesExample

MeasureBeforeAfter
Hours a week in status meetings144
Days late before anyone knows91

Live project status

  1. Task updated
  2. Status computed
  3. Risk flagged
  4. Owner alerted
Start with an audit

05 · Pricing and billing

We have the data, but we can't price or bill properly.

Quote to cash automation: quotes priced from rules, invoices sent when work is delivered, and unbilled work caught every month.

  • Quotes take days
  • Discounts nobody approved
  • Work delivered but never billed

What we do

  1. 01Quotes are priced from your rules, not from memory.
  2. 02Discounts outside the rules need one approval.
  3. 03Invoices go out when the work is marked done.

What changesExample

MeasureBeforeAfter
Days from request to quote5Same day
Unbilled work at month-end6%1%

Quote to cash

  1. Quote request
  2. Price from rules
  3. Proposal sent
  4. Invoice on delivery
Start with an audit

06 · Team efficiency

My team is busy all day, and nothing moves.

Operational efficiency for busy teams: cut the waiting and handoffs between people, so work moves without chasing.

  • Work waits between teams
  • Chasing by message all day
  • Half the week is reporting on the week

What we do

  1. 01Handoffs are assigned automatically, with a clock.
  2. 02Waiting work is visible to the person who can move it.
  3. 03Reports write themselves from the work.

What changesExample

MeasureBeforeAfter
Average wait at each handoff2 days4 hours
Hours a week writing reports102

Handoffs with a clock

  1. Handoff
  2. Auto-assign
  3. Clock starts
  4. Done
Start with an audit

07 · AI adoption

Everyone says AI. Nobody shows us where it fits here.

AI adoption for SMEs: automate the rules first, then put AI agents only on the judgment calls that are left, with a person able to override.

  • A chatbot nobody uses
  • Pilots that never reach production
  • No idea what AI should touch

What we do

  1. 01We automate the rule-based steps first.
  2. 02AI agents take only the judgment calls that remain.
  3. 03Every AI step logs its reasoning and can be overridden.

What changesExample

MeasureBeforeAfter
Decisions that need a personEvery one1 in 10
AI pilots running in production02

Rules first, AI on judgment

  1. Request
  2. Rules decide most
  3. AI judges the rest
  4. Person can override
Start with an audit

08 · Compliance readiness

An auditor would have a field day with us.

ISO 27001 and ISO 9001 readiness for small companies: processes that produce their own evidence, so audits stop costing weeks.

  • Evidence gathered by hand
  • Policies nobody follows
  • Client security questionnaires pile up

What we do

  1. 01Each redesigned process logs its own evidence.
  2. 02Access and changes are approved and recorded.
  3. 03We prepare you for the certification body.

What changesExample

MeasureBeforeAfter
Days to prepare audit evidence152
Questionnaire answers kept on fileFewAll

Changes that leave evidence

  1. Change requested
  2. Approved
  3. Logged
  4. Evidence ready
Start with an audit