A leadership team finally says yes to automation. Budget’s approved, the vendor’s picked, everyone’s relieved the debate is over. Then someone asks the obvious question: when does this actually happen? And the room goes quiet, because the plan on the table is to flip the entire AP process over on a single date, while invoices keep arriving and vendors keep expecting to get paid on time.
That’s usually where momentum stalls. Not because the technology is wrong, and not because the team doesn’t want it to work. It’s because nobody wants to be the one explaining to a vendor why their payment is three weeks late during a rocky go-live week. This is exactly the fear that a phased implementation strategy for AP automation is built to remove.
Here’s the part worth saying out loud: that fear is reasonable. It’s just aimed at the wrong target. The problem was never automation itself, it’s the idea that automation has to happen everywhere, all at once, with no way back if something breaks. That’s a choice, not a requirement, and it’s usually the wrong one.
Why the All-at-Once Instinct Backfires
There’s a certain logic to wanting to rip the bandage off. Pick a date, switch everything over, deal with whatever comes up. In practice, this is where a lot of good implementations go sideways.
When every process changes on the same day, the first exception, the first invoice that doesn’t match a purchase order, the first vendor call that goes to someone who’s never seen the new system, lands on a team with zero practice handling any of it. There’s no fallback, because the old process is already gone. Whatever goes wrong that first week goes wrong in front of everyone, at the worst possible moment.
And that first rocky week doesn’t just create a bad afternoon. It becomes the story. Six months later, someone in a meeting will bring up “that time we switched everything over and it was a mess,” and that one memory does more to fuel resistance than any actual flaw in the software. It hands the skeptics exactly the proof they were looking for.
The goal isn’t to automate everything on day one. It’s to automate the first thing well enough that the team asks for the next one.
What a Phased Rollout Actually Looks Like
A phased rollout isn’t automation happening slower. It’s automation happening in an order that actually works. Rolling out automation in stages means each piece earns its place before the next one starts.
Start with the process causing the most daily frustration that also has the clearest, most repeatable steps. This matters more than it sounds like it should. A process that’s painful but predictable is a much better first stage than one that’s only mildly annoying but full of exceptions. You want an early win that’s real and visible, not a technically easy stage nobody notices.
Then, don’t cut the cord on day one. Run the new system alongside the old process for a defined stretch before making the switch permanent. This isn’t about dragging things out, it’s about giving the team a safety net while they build trust in the new way of doing things. Nothing critical should depend entirely on a system nobody has tested under real conditions yet.
This is really what an AP automation implementation plan comes down to: sequencing the change so each piece has room to prove itself before the next one starts, which is also the simplest way of avoiding implementation risk in automation altogether.
Each Stage Pays for the Next One
Here’s where the phased approach actually beats the all-at-once one, and not just on risk. It wins on results, too.
With an all-at-once rollout, nobody sees a single benefit until the entire project is finished, however many months that takes. With a phased approach, the first stage alone produces something measurable. Invoices process faster. A backlog clears. Someone stops staying late every Friday. That’s a real result, and it shows up early enough that people actually notice it happened.
That early win does something else, too. It becomes the case for stage two. Nobody has to walk into a room and make a cold pitch about hypothetical ROI, because the numbers from stage one are sitting right there. If your team is building the business case to bring to a CFO, a completed first stage is worth more than any projection, because it’s not a forecast anymore, it’s a fact.
The target for an early stage isn’t full transformation. It’s a believable, visible improvement inside a single quarter, the kind of thing a team can point to and say, that’s real, let’s do the next one.
What Franklin Foods Did
Franklin Foods, a Vermont cheese manufacturer, needed to get its accounts payable team out of manual, error-prone invoice processing, but couldn’t afford to disrupt the business in the middle of the change. A single cutover date, with no fallback if something didn’t work, wasn’t a risk they were willing to take. Learning how to implement AP automation without disruption meant figuring out where the change could happen safely first, and building from there.
So they didn’t take it. Franklin Foods adopted Epicor Content Management and Intelligent Data Capture for AP first, proving that stage out before moving to the next one. This is exactly why Overcoming Automation Resistance uses Franklin Foods as one of its core examples: a staged rollout is what let their team build trust in the new system instead of bracing against it.
The proof that the staged approach worked isn’t a raw percentage, it’s what happened next. The success of that first stage is what led directly to a second one, an entirely new credit memo workflow built with Mosaic that Franklin Foods hadn’t originally set out to build.
“Often we didn’t know about a credit until the customer didn’t pay the invoice in full. There was little visibility into the status of a credit, it was unclear who could approve them, and too often credits were being granted that should not have been,” said Sara Anderson, Assistant Controller at Franklin Foods. “Now, we can easily see the status, and we have a clearly defined three-level confirmation process that does not allow random approvals to sneak in.”
The full Franklin Foods case study walks through the stage sequence and the timeline they followed.
This is also where the common objection deserves a direct answer: “a phased rollout just delays the real benefit.” It doesn’t. It spreads the same benefit across a timeline a team can actually absorb, and because each stage produces something real along the way, it reaches full value faster than a rushed rollout that stalls or gets partially reversed after a bad first week.
The Bottom Line on Phased vs. All-at-Once Implementation
All-at-once feels decisive. It isn’t. It’s the riskier path dressed up as the bold one, and it puts the entire outcome on a single date with no room for anything to go wrong.
A phased rollout gets you to the same destination. It just does it in an order that lets the team build confidence instead of dreading a countdown clock. For a fuller picture of how that confidence carries through the first few months after go-live, Successful AP Automation Implementation and The First 90 Days cover what happens once the first stage is behind you.
Avoiding implementation risk in automation isn’t about avoiding automation, or slowing it down for its own sake. It’s about sequencing it so nobody has to bet the whole outcome on one date. Every month a team waits for the perfect single launch is a month it could have already been running one process better.
If you’re staring at a rollout plan and every task is scheduled for the same week, that’s worth revisiting before a contract gets signed, not after. Reach out for a consultation to map out a phased sequence built around where your team actually feels the most pain first.