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Give the work
back its week.

Process automation for SMBs
Automation first. AI where it counts. Live in 90 days.
Prepared as a portfolio example. Figures in this deck are illustrative benchmarks pending operating data.

SMBs can reclaim 20+ hours per employee per month by automating routine work: Carter Shannon delivers it in 90 days with no rip-and-replace.

The drain

SMB staff lose roughly 22 hrs/employee/mo to manual admin: re-keying data, chasing approvals, reconciling spreadsheets.

At 25 staff, that is about $180K/yr in fully-loaded cost, work that never touches the customer.

The method

Two tracks, run together: deterministic automation for routine steps, AI only on the steps that need judgment.

Built modular from day one, so AI layers on top later without reworking what is already live.

The economics

An illustrative automation case cuts process cost by about 40% , with payback inside under 4 months .

Hours reclaimed convert to about that same 40% net process-cost reduction after tooling and fees; savings then compound as errors and rework fall and headcount does not need to grow with volume.

Example map

2 wks
process audit model

The output is a ranked roadmap.

Illustrative benchmarks; replace with operating data. Source: Carter Shannon analysis.
2
The hidden cost

Manual work quietly costs a 25-person SMB roughly $180K a year, and owners absorb the worst of it.

Benchmarks below assume a 25-person service business; scale with headcount.
The cost of manual work
Why it persists
22 hrs
Per employee, per month spent on manual admin work.
$180K
Cost per year, including wages and overhead, of that manual work, at 25 staff.
68%
Of owners report doing admin work after hours.
about 5%
Of throughput lost to rework from manual errors.
  • Tools do not talk to each other, so data gets re-entered by hand.
  • Nobody owns the process end to end.
  • Hiring feels safer than fixing the workflow.
Illustrative benchmarks; replace with operating data. Assumes ~$27/hour loaded cost (wages plus overhead). Source: Carter Shannon analysis.
3
The hidden cost

Five back-office processes absorb most of the manual hours, and every one of them is automatable today.

Manual hours per week by process, 25-person SMB, hours/week
These five processes cover roughly 442 of about 550 total manual hours per month; smaller tasks make up the rest.
Automate now (top 2) Next wave
Invoicing & AR 31 Data entry & re-keying 27 Scheduling & dispatch 19 Reporting 14 Customer onboarding 11
Key insights
  • The top two, invoicing & AR and data entry, account for just over half of all hours tracked.
  • Each of the five processes already has an off-the-shelf automation pattern.
  • Start where the hours are: invoicing goes first for the fastest payback.
Illustrative benchmarks; replace with operating data. Source: Carter Shannon analysis.
4
The hidden cost
My thesis

Automate the routine first; add AI where judgment lives, designed so intelligence layers on without rework.

Modular automations expose clean decision points where AI slots in later to make the same flow smarter: no rebuild, no rip-and-replace. I bank the deterministic wins first, then enhance the same pipeline.

5

My Map → Build → Enhance → Run method is how I sequence automation work.

1

Map

A two-week audit finds where the hours go; every workflow is scored for automation fit.

2

Build

Deterministic automations handle the routine 80%: fast, auditable, cheap to run.

3

Enhance

AI is added only at judgment steps: classification, drafting, triage.

4

Run

I define monitoring, ownership, and the runbook.

First automation live inside 30 days

Carter Shannon delivery method. Timelines are illustrative; replace with operating data.
6
How I work

I map the six workflows many SMBs already run: proven automation patterns before custom work.

Invoicing & AR

Chasing, matching, and reconciliation.

Data entry

Reducing re-keying by making systems talk to each other.

Scheduling & dispatch

Assigns by rule and escalates the exceptions.

Reporting

Generating the Monday reporting pack.

Customer onboarding

Welcome, provisioning, and kickoff flows.

Inbox triage

Classification, routing, and reply drafts.

Source: Carter Shannon delivery method.
7
How I work

Illustrative automation economics show how process cost can fall about 40 percent, with payback inside four months.

Illustrative typical operating case, indexed process cost (current = 100)
Net costSavingsAdded implementation cost
0 30 60 90 120 100 -32 -10 +4 62 Current cost Automation savings Error-reduction savings Carter Shannon cost (yr 1) Net cost
Key insights
  • Payback lands inside month 4, once cumulative savings clear the one-time implementation cost.
  • Automation and error-reduction savings recur every year; the implementation cost is modeled as a one-time cost, amortized in year one only.
  • Error reduction is the sleeper value: quieter than automation, but it compounds every month.
Illustrative benchmarks; replace with operating data. Source: Carter Shannon analysis.
8
Proof & path

A 90-day operating roadmap moves from process audit to live automations with ownership defined.

Audit starts

Two-week process audit model begins.

Week 0
Week 2

Roadmap + scope

Automation roadmap and implementation scope documented.

First automation live

Initial workflow automated and running in production.

Week 4
Week 8

AI on judgment steps

AI layered onto steps that need human-like judgment.

Handover complete

Monitoring in place; operating ownership documented.

Week 12
Illustrative implementation timeline; replace with project-specific schedule. Source: Carter Shannon analysis.
9
Proof & path

The deck closes with the roadmap: map the work, rank the automations, and decide what is worth building.

1

The cost is real.

Manual work drains roughly $180K a year from a 25-person firm, and the drain compounds as the business grows.

2

The method is proven.

Automation handles the repeatable work first, AI takes the steps that need judgment, and full rollout is live inside 90 days.

3

The constraint is clarity.

The useful output is a roadmap clear enough to build, defer, or reject.

Portfolio notePortfolio example: process audit and automation roadmap
Illustrative benchmarks; replace with operating data. Source: Carter Shannon analysis.
10
Proof & path