Challenge an idea

To: Priya Raman (for exec offsite pre-read) From: Staff PM Re: The strongest case against committing three squads for three quarters to Fieldline Pay

Bottom line

Payments is a real opportunity, but the $24M is not supported by our own data. Re-estimated from the pack, month-24 run-rate is roughly $1M–$6M, central case about $2.3M. Even the most generous extrapolation of the pilot gives about $9M. The plan would pause the scheduling rewrite, which is tied to $1.9M of churned ARR a year, to fund a payments line that at its central case earns about the same amount after nine squad-quarters. I recommend a smaller, staged bet.

1. The assumption the plan depends on most

The plan assumes a dollar of invoice value is worth 0.7% to us. It is not, because 0.7% is the margin on card payments only.

The term sheet says we net about 0.7% on card value, but ACH nets $1.60 per payment ($2.00 charged, $0.40 cost), and checks and cash earn nothing. The CEO and CFO models apply the card margin to all $4.83B of invoices. What matters is how those invoices get paid.

• Commercial jobs are 58% of invoiced value, and only 5% of that is paid by card. The average commercial invoice is $3,800, so ACH nets $1.60 / $3,800 = 0.04%.
• Residential jobs are 42% of value, and the pilot lifted card share to 71%.

Yield per dollar of volume that actually flows through Fieldline Pay, using pilot card shares and assuming the non-card remainder moves by ACH:

Even if every invoice dollar went through Fieldline Pay, the blended yield would be 0.30%, less than half the modelled 0.7%.

The evidence is consistent with this: - 11 of 14 mostly-commercial customers say their clients require ACH or check. - 6 of 22 won't offer card at all. - Head of Sales expects property managers to refuse 2.9% on a $3,800 invoice.

Pilot revenue is $5,630 per adopting customer, against the $14,700 the CEO's model implies ($2.1M × 0.7%). That is 38% of the claim, from a pilot that was 64% residential, against 42% for the base. This is the best case for the mix.

Two supporting errors compound this: - The $2.1M is a mean. The median customer invoices $640k. The top 115 customers carry 48% of volume, and 71 of them are on multi-year processor contracts, mostly to 2028. Sales expects none to move. - Tradesly is not a comparable. It is about 80% residential, and we are 42%. Its 22% revenue share says little about a base that is mostly commercial by value.

2. Re-estimate of month-24 run-rate

Formula: addressable volume × adoption × share of adopters' invoice value routed through Pay × blended yield.

Addressable volume. I remove the locked-in accounts, assuming the 71 are typical of the top 115: 71/115 × $2.32B ≈ $1.43B. That leaves $3.40B.

• Adoption. The pilot's 61% came from invited customers over four months, so I treat it as a ceiling.
• Routing. The CEO's model implicitly assumes 100%. Customers who adopt still get paid by check and cash on many invoices, and payers choose the method.
• Yield. Base is the whole-base mix. High approaches the pilot's residential-heavy 0.42%. Low assumes the locked-in accounts are commercial-heavy, so the remainder skews slightly more residential and the low case is harsher than it needs to be.

Cross-check against the pilot. The base case implies about $2,300 per adopting customer, against $5,630 in a residential-skewed, hand-picked pilot. That is plausible. The most generous version applies the pilot's $5,630 to 1,610 customers, giving $9.1M. That ignores the lock-ins and the pilot's mix, and it is still 38% of the claim.

Implication for the board. At $2–6M, payments would be roughly 5–12% of revenue, not 35% by 2028. Reaching $24M would need about a 3% yield on the volume in my base case, which is not available on this term sheet.

Caveats: - Payment-method data comes from only 690 self-reporting customers (30%). - The pilot ran four months. - I have not modelled ramp, disputes or chargebacks, or upside from a paid fast-payout product. That last one is the most interesting missing piece.

3. What would prove me wrong, and the cheapest test

To vindicate the plan, we would need to show that commercial volume can yield at least ~0.5% net, with at least 60% of adopters' volume routed through Pay. That would put the total near $15M or more. On a $3,800 invoice, 0.5% is about $19 net per invoice. That requires either much higher commercial card share, or a fee people will pay, such as faster payout.

A six-week constraint: commercial invoices take 52 days on average to be paid, longer than the test window. We cannot wait to observe commercial cash-in, so the test must use leading indicators and data we already hold.

The test (roughly one PM, one analyst and one engineer, using existing pilot plumbing): 1. Week 1: re-cut the existing pilot. Split the 38 customers by commercial share and compute yield per dollar of volume for the commercial-heavy ones. Their older invoices are already paid, so this costs nothing and tells us quickly whether 0.08% is right. 2. Weeks 1–6: a commercial-heavy cohort. Recruit about 20 mostly-commercial, non-locked-in customers, drawn from the 11 who said their clients require ACH or check. Turn on pay-by-link and measure the share of payers who choose card and the share of invoice value routed via link. 3. Weeks 2–6: price a fast-pay offer. Offer these customers accelerated payout, funded by a fee, as a real priced offer with sign-up. Nine of 22 said they would pay to be paid faster, and this is the only route I see to meaningful commercial yield. Measure conversion at the stated price.

Thresholds, set now: commercial card share above 25%, or fast-pay uptake implying at least 0.3% net on routed commercial volume. Below both, the base case stands and the bet should be sized to it.

4. What we should do instead

Don't commit three squads for three quarters, and don't pause the scheduling rewrite. The rewrite addresses the top-cited churn reason in the >50-technician segment, which lost $1.9M ARR last year. Those are also the accounts with the most volume and the ones payments can't reach. Cutting the rewrite risks retention at the top of the base to chase payments revenue the top can't deliver.

A staged alternative: 1. Fund one squad for two quarters, focused on residential-heavy and small customers, where the pilot works (71% card share, ~0.6% yield). Ship pay-by-link, card and ACH broadly, and track net revenue per adopting customer and routed share. 2. Run the six-week commercial test above. Its result decides whether a second and third squad get funded for a commercial cash-flow product (fast payout or early pay). That product fits the real pain: 17 of 22 customers named getting paid on commercial jobs as their biggest cash problem. 3. Set gates. Add squads only when the test or the first quarter's data shows blended yield above 0.4% on routed volume. Revisit the locked-in accounts as contracts approach expiry in 2028. 4. Reset the board narrative from "$24M / 35% of revenue" to a $2–6M range with a clear path to more if commercial monetisation works. For the raise in about 14 months, a measured payments attach rate and net revenue per customer will be more credible to investors than a projection that unravels in diligence.

The CEO's instinct that payments could make Fieldline stickier is sound, and the pilot's 61% adoption is a good sign. But the current plan assumes we can monetise the volume we don't touch at the rate we monetise the volume we do, and our own numbers say otherwise.

To: Priya Raman; CEO; CFO; Head of Sales From: Staff PM Subject: Fieldline Pay: challenge the revenue thesis before committing three squads

Recommendation

Do not commit three squads for three quarters or pause the scheduling rewrite. Authorize a six-week commercial test using the existing pilot product and partner.

Embedded payments may be worth building. The evidence does not support presenting $24M as an expected month-24 revenue run-rate. My scenario range is approximately $2–$10M annualized, with $10M an optimistic case—not a base case.

1. The unsupported assumption: adopted invoice dollars yield 0.7%

The plan’s most consequential assumption is that the invoice value belonging to adopting customers becomes payment volume earning a blended 0.7% net take.

That is card economics applied to all invoices. It conflates three things: adopting Fieldline Pay, routing payments through it, and choosing a profitable payment method.

The available evidence contradicts it:

• Only 19% of recorded payment value is card. ACH is 44%; checks and cash are 37%. These observations cover 30% of customers, so representativeness remains unproven.
• ACH does not yield 0.7%. We earn $1.60 per payment. At the average commercial invoice of $3,800, that is 0.042%; at the residential average of $410, 0.390%.
• Commercial work is 58% of invoice value. Even in the pilot, commercial card share reached only 6%, versus 71% for residential. A 2.9% card fee on a $3,800 invoice is about $110, before the fixed charge. Sales and interviews both indicate resistance to that fee.
• The pilot overweights our best payments segment: 64% residential versus 42% across Fieldline. Tradesly’s roughly 80% residential customer mix makes its revenue share a poor benchmark for ours.

Volume concentration compounds the error. The largest 115 customers supply 48% of invoice value; 71 have processor contracts, mostly through 2028. We do not know those 71 customers’ exact volume, but cannot assume their invoices are available.

Consequently, 70% customer adoption does not establish 70% volume capture. The $2.1M average also obscures this concentration: the median is $640k, and customers outside the largest 5% average only $1.15M.

2. Re-estimate: approximately $2–$10M annualized

Use:

Revenue = eligible invoice value × adoption × routed share × payment-method yield.

The following scenarios assume adopters route all eligible invoices through Pay. That is generous. They use today’s customer base, not unsupported customer growth, and are scenarios rather than a statistical confidence interval.

Conservative scenario: approximately $2.3M

Assumptions:

• Exclude the entire largest-5% cohort pending evidence of access. This is a conservative scenario, not a claim that all 115 are contractually blocked.
• Remaining invoice value: $4.83B − $2.32B = $2.51B.
• Adoption: pilot’s 61%.
• Retain today’s 19% card and 44% ACH value shares; checks and cash earn nothing.
• Value ACH at the commercial invoice size. This produces the lower ACH yield.

Blended yield:

19% × 0.7% + 44% × ($1.60 ÷ $3,800) = 0.152%.

Revenue:

$2.51B × 61% × 0.152% ≈ $2.3M.

This assumes the remaining cohort has the overall payment mix; the pack does not provide its actual mix.

Optimistic scenario: approximately $10.3M

Assumptions:

• All $4.83B is accessible, despite processor contracts.
• 70% adoption also captures 70% of invoice value.
• Pilot card conversion transfers to Fieldline’s actual job mix.
• Every non-card dollar becomes ACH: no checks, cash or external payments.

Card value share:

42% × 71% + 58% × 6% = 33.3%.

Blended yield, using job-specific invoice sizes:

33.3% × 0.7% + [42% × 29% × ($1.60 ÷ $410)] + [58% × 94% × ($1.60 ÷ $3,800)] = 0.304%.

Revenue:

$4.83B × 70% × 0.304% ≈ $10.3M.

Even this unusually favorable case is 57% below the CFO’s $23.7M.

A separate cross-check is the pilot’s actual monetization: 1,610 adopters × $5,630 = $9.1M. That is not a forecast: the pilot is residential-heavy, and we lack its invoice-volume denominator. But it does not validate $24M.

The range could fall below $2M if adoption or routing disappoints. We lack the data to assign probabilities.

3. What would prove this challenge wrong?

To generate $24M from $4.83B, Fieldline needs portfolio-wide annual net yield of approximately 0.50%. At 70% volume capture, captured payments must yield approximately 0.71%.

We would need evidence of either:

1. Much more accessible, routed, high-margin card volume than today’s mix and pilot suggest; or
2. A demonstrably profitable additional fee or product customers will actually pay for.

Adoption percentages, enthusiasm and competitor revenue shares would not suffice.

Cheapest six-week test

Use the existing pay-by-link product and partner; no new platform build.

Recruit approximately 50 non-pilot customers, stratified by invoice volume and residential/commercial mix, including a deliberate sample of large accounts with processor contracts. Weight results by invoice dollars, not customer count.

For each, establish contractual access and offer Pay at intended production pricing. Measure:

• Activation and actual routed invoice value;
• Card/ACH/check mix, invoice sizes and realized net revenue;
• Payer refusals, especially commercial surcharge refusals;
• Large-account willingness and ability to switch.

Commercial invoices take 52 days to pay on average. Include existing invoices due during the test, not just newly issued invoices, and report unpaid invoices separately rather than assuming conversion.

The test passes only if observed economics and credible volume-access commitments support a transparent path to $24M. A small test cannot prove 18-month adoption, but it can cheaply falsify the unit economics or access thesis.

4. Change the bet

Keep the scheduling rewrite staffed. It addresses the top-cited churn reason in a segment that lost $1.9M ARR last year; postponing it has a concrete opportunity cost ahead of our raise.

If the test supports attractive economics, fund a narrower, stage-gated residential payments rollout—not the current commitment.

Separately, test commercial customers’ willingness to pay for faster collection. Seventeen of 22 interviewees identified commercial payment delays as their biggest cash problem; nine would pay to get paid faster. Payments acceptance does not itself solve net-60 terms. Explore collections workflows or partner-funded acceleration before underwriting a financing business.

Finally, reset the board’s expectation now: $24M is an unvalidated upside hypothesis, not an evidence-backed plan.