Sample document. Representative scenario, shown so you can judge the format and depth before booking. Your teardown is built on your real workflows and numbers.
The result, upfront
This one workflow gives back about thirty hours a week, conservatively, worth roughly $108,000 a year at an example loaded rate. Sections a through d below show exactly how we got there, with nothing hidden.
30 hrs
recovered every week, conservative case
$108,000
a year, at an example $75/hr loaded rate
a.The workflow, mapped
Every Monday, each account manager builds a performance report for their clients. The process is the same for all 14 accounts, and it runs by hand:
Pull last week's numbers from three ad platforms (Meta, Google, and one more per client) into a working sheet. ~17 min
Assemble the numbers into the agency's slide template. ~12 min
Write the commentary: what moved, why, and what happens next. ~15 min
Proof the deck and send it Monday morning. ~5 min
The math: about 49 minutes per client, across 85 clients, is roughly 69 hours every week spent assembling reports by hand, across the account team. That is more than one and a half full-time people, every single week, on work a person does not need to do.
b.Where the hours go
Per client, per week
Step
Minutes
Who
Automatable?
Pull numbers from 3 ad platforms
17
Account manager
Yes, via API
Assemble the deck from the template
12
Account manager
Yes
Write the commentary
15
Account manager
Draft, human approves
Proof and send Monday
5
Account manager
Human sign-off
Per client
49 min
x 85 clients = ~69 hrs / week
c.Three automations, ranked by payback
01 · the wedge
Report assembly from platform APIs
Recovers ~39 hrs / wkPayback ~5 - 7 weeks
DoesPulls each client's weekly numbers straight from the Meta, Google, and third-platform APIs and drops them into the agency's own slide template, formatted and ready. The account manager opens a finished deck instead of building one.
Runs onPlatform API access plus a small amount of model and hosting cost each month, across all 14 accounts.
RiskA platform changes its API, or a number lands in the wrong cell. Mitigation: automated totals checks against each platform's own dashboard, and a person signs off on every deck until the system has run clean for a few cycles.
02
Commentary drafting from the numbers
Recovers ~15 hrs / wkPayback ~4 - 5 months
DoesDrafts the "what moved and why" narrative from the same numbers, in the agency's voice, so the account manager edits a first draft instead of starting from a blank slide.
Runs onModel cost only, a few dollars per report.
RiskA confidently wrong explanation of a result. Mitigation: the draft is always labelled as a draft, cites the number it is describing, and a human approves before anything reaches a client. It never sends on its own.
03 · adjacent
Client Q&A follow-ups drafted from report data
Recovers ~6 hrs / wkPayback ~6 months
DoesWhen a client replies to a report with a question, it drafts an answer grounded in that client's own report data, ready for the account manager to check and send.
Runs onModel cost only.
RiskA wrong figure quoted back to a client. Mitigation: answers are drafts only, every number links back to its source in the report, and a human sends. This is a neighbouring task, not part of the 11.5 reporting hours, so its saving is counted separately below.
d.The honest math
Measured in the unit that matters here: hours, converted to money at the end, not the other way round. The gross figure is the time the workflow eats every week. The conservative case takes a deliberate 50% haircut, because some recovered time gets absorbed rather than turned into billable work, and because a number that survives a skeptical read is worth more than a flattering one.
Basis: hours recovered first, so the calculation is checkable, then converted to money at one stated rate.
Working weeks:48/yr, not 52, to allow for holidays and slow weeks.
Hours recovered from reporting: ~39 hrs (assembly) plus ~15 hrs (commentary drafting) is ~54 hrs/wk, leaving several hours a week of human review on purpose, spread across the account team.
Example rate:$75/hr, a blended loaded rate across the account team, including the senior time spent reviewing and approving drafts. Swap in your own real rate and every number below moves with it.
Time and money recovered, at an example $75/hr
Source
Hrs/wk
Conservative (50%)
Per year (48 wks)
$/year
Reporting time recovered
54
27
~1,296 hrs
~$97,200
Adjacent client Q&A
6
3
~144 hrs
~$10,800
Total
60
30
~1,440 hrs
~$108,000
Read the conservative column. Even after the 50% haircut, this one workflow gives back about thirty hours every week, roughly $108,000 a year at the example rate above, and that is before any faster, sharper reporting wins a single renewal. The build of all three automations is a one-time, fixed-price project scoped on the call, with a small monthly cost to run. On the conservative case, the wedge pays back in about six weeks and the full package inside a single quarter.
e.What we would not automate, and why
Not the final sign-off on anything a client sees. The numbers, the assembly, and the first-draft narrative are safe to hand to a system. The judgment about what to emphasise to a specific client, and the relationship that sits behind it, stays with the account manager. Every report and every reply keeps a human approval step until the drafts have earned trust over several clean cycles, and even then we would loosen it slowly, not all at once. Anything that changes client spend or touches billing stays fully manual. The goal is to delete the typing, not the thinking.
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