Category Archives: Technology

Advanced Procurement Today — No Gen-AI Needed!

Back in late 2018 and early 2019, before the GENizah Artificial Idiocy craze began, the doctor did a sequence of AI Series (totalling 22 articles) on Spend Matters on AI in X Today, Tomorrow, and The Day After Tomorrow for Procurement, Sourcing, Sourcing Optimization, Supplier Discovery, and Supplier Management. All of which was implemented, about to be implemented, capable of being implemented, and most definitely not doable with, Gen-AI.

To make it abundantly clear that you don’t need Gen-AI for any advanced enterprise back-office (fin)tech, and that, in fact, you should never even consider it for advanced tech in these categories (because it cannot reason, cannot guarantee consistency, and confidence on the quality of its outputs can’t even be measured), we’re going to talk about all the advanced features enabled by Assisted and Augmented Intelligence that were (about to be) in development five years ago and are now available in leading best of-breed systems. And we’re continuing with Procurement.

Unlike prior series, we’re identifying the sound, ML/AI technologies that are, or can, be used to implement the advanced capabilities that are currently found, or will soon be found, in Source to Pay technologies that are truly AI-enhanced. (Which, FYI, may not match one-to-one with what the doctor chronicled five years ago because, like time, tech marches on.)

Today we continue with AI-Enhanced Procurement that was in development “yesterday” when we wrote our first series five years ago but is now available in mature best of breed platforms for your Procurement success. (This article sort of corresponds with AI in Procurement Tomorrow Part I, AI in Procurement Tomorrow Part II, and AI in Procurement Tomorrow Part III that were published in November, 2018 on Spend Matters.)

TODAY

OVERSPEND PREVENTION

By integrating trend analysis on demand and price, the platform can easily predict the date the budget will be exhausted, and if that’s before the end of the year, it can proactively pause an order for budgetary review EVEN IF it would be automatically approved in a last-gen system because it was still within budget and from an approved supplier.

POLICY IDENTIFICATION and ENFORCEMENT

One reason fake-take (better known as intake) solutions are so popular, besides the fact they make tail spend procurement easy (which we’ll discuss in more detail in our next part), is that they make it easy to identify and follow organizational procurement policies, especially since they will even guide a user through the correct process once the product / service need is identified.

At the end of the day, this is just guided buying with integrated access rules (who can request / buy something), budget rules (what budgets do they have or have access to), approval rules (who needs to approve and when), as summarized in, and extracted from, policy handbooks (which can be done with traditional semantic processing and human verification).

AUTOMATIC INVISIBLE BUYING

In last-gen platforms you had to define items you wanted on auto-reorder, define specific rules for each, and manually maintain this list, and associated rules, on an ongoing basis. But, at the end of the day, for example, MRO is MRO is MRO and commodity stock is commodity stock is commodity stock and there’s no reason that you shouldn’t be able to turn over the entire category to the platform. After all, if you’re ordering the item regularly, as we described in Yesterday’s Smart Automatic Reordering, you have enough data to compute demand trends, price trends, delivery times, and EOQs (economic order quantities) and, as long as everything is within a threshold of predictability, the system should just re-order for you — and if something appears to be going off the rails, pause automatic re-order and alert a buyer to examine the situation and either do a manual re-order (which could include accepting the system suggestion), change the rules or thresholds for automatic reorders, or redefine the category / reassign the product or service.

AUTOMATIC OPPORTUNITY IDENTIFICATION

As noted in “AI In Procurement Tomorrow: Part II“, a high-performing organization tackles at most 1/3 of spend strategically on an annual basis, due to lack of manpower and time. The fact of the matter is that, unless you have a true best-of-breed spend analysis system and the experience to use it efficiently and effectively (as well as sufficiently cleansed and complete data to work on), it’s a significant effort just to do the spend analysis required to identify and fully qualify the market opportunity and shape it into an appropriate market event.

But there’s no reason that the platform couldn’t encode all of the standard analytic workflows used by best-practice consultants, identify the top product/services/categories with the most spend not under contract/management, look at the spend variability, look at current market prices and trends, look at average historical community savings data (from community, consultancy, and GPO intelligence), and evaluate and rank opportunities. And the best platforms do. (Are the rankings 100%? No — no platform has complete market data or complete knowledge of every variance to a market situation, but 90% is more than enough as that will free the buyers up to keep up with market dynamics and do real exploratory analysis that is not easily automated.)

SUMMARY

Now, we realize some of these descriptions, like yesterday’s, are also quite brief, but again, that’s because this is not entirely new tech, as the beginnings have been around for a few years, have been in developments and discussed as “the future of” Procurement tech before Gen-AI hit the scene, and all of these capabilities are pretty straight-forward to understand (especially with many of the fake-take and Gen-AI providers marketing these claims, even though they are not entirely realizable within their platforms). And, if you want to dive deeper, the baseline requirements for most of these capabilities were described in depth in the doctor‘s November 2018 articles on Spend Matters. The primary purpose of this article, as with the last, was to explain how more sophisticated versions of traditional ML methodologies could be implemented in unison with human intelligence to create smarter Procurement applications that buyers could rely on with confidence.

What SHOULD Procurement Officials Learn from CrowdStrike?

A recent article over on on GovTech titled What Can Procurement Officials Learn from CrowdStrike caught my eye because I wondered if it contained the most important lesson.

The article, which sub-headlined on how CrowdStrike is a useful lesson for officials who draw up government IT contracts, pushing them to ask the question of how future contracts can prepare for any unplanned outages, hit on five important point(s) of modern SaaS / Cloud-powered technology.

  • additional safeguards are needed in IT contracts
  • even with safeguards, there is still the possibility of a cyberattack, so there must be an immediately actionable disaster response and recovery plan (which vendors must be able to live up to)
  • there should be alternate backup/failover options, even if non-preferred, and that can include paper in the worst case (as far as the doctor is concerned, it’s absurd when a store shuts down in broad daylight because they lost power or internet connectivity to the bank — that’s why we have cash and credit card imprint machines)
  • one should consider specifying liquidated damages up front, to prevent long drawn out lawsuits and delayed response time from the third party (who will want to avoid those damages)
  • consider cyber insurance, either on the vendor side or your side

Which is all good advice, but misses the most important point:

NEVER ALLOW A CRITICAL SYSTEM TO BE AUTOMATICALLY UPDATED (en masse)

Now, there’s a reason the military will exactly configure a system designed for single use and LOCK IT DOWN. That’s so it can’t accidentally go down from an unplanned / uncontrolled update when it’s needed most.

For example, there’s no way any update, no matter how minor, should be pushed out to a core airline operations terminal without an administrator monitoring the update (which could be on the vendor side IF the vendor maintains a [virtual] configuration that is the exact same as the customer’s configuration) and ensuring everything works perfectly after the update. And then the updates should be propogated to the rest of the terminals in a staged fashion. (Unless you’re dealing with a critical zero-day exploit that could expose financial or personal information, there’s no need for rapid updates; and even then, there should be techs on standby after that test update is complete just in case something goes wrong and a system has to be immediately rolled back or rebooted.)

Modern operating system installations, like Windows 11, can have up to 100,000,000 (that’s one hundreds million) lines of code and since you never know where the bugs are, there is no such thing as a low-risk update. Any update has the chance of taking down the OS or the application you are updating that is integrated with the OS.

But this is not the only critical lesson to takeaway. The next is:

For critical systems, your provider must maintain backup hot-swap redundant systems!

Once a configuration is confirmed to be bug-fee, it must be propagated to the backup, which must have a backup redundant data store with all transactions replicated in real-time (so that you’d never lose more than a minute or two of updates with an unexpected failure) that can be hot-swapped through a simple IP redirection should something catastrophic happen that takes down the entire primary system. This backup redundant system must have enough power to run all critical core operations (but not necessarily optional ones like reporting, or tasks that only need to be run every two weeks, like payroll, etc.) until the primary system can be brought back online. A catastrophic event like a rolling failure from a security or OS update or cyberattack should be recoverable in minutes simply by re-routing to the failover instance and rebooting all the local machines and/or restarting all the browser sessions.

Those are the lessons. If a system is so critical you cannot operate at all without it, you must have redundancy and a failover plan that can bring you back online with an hour, max.

Advanced Procurement Yesterday — No Gen-AI Needed!

Back in late 2018 and early 2019, before the GENizah Artificial Idiocy craze began, the doctor did a sequence of AI Series (totalling 22 articles) on Spend Matters on AI in X Today, Tomorrow, and The Day After Tomorrow for Procurement, Sourcing, Sourcing Optimization, Supplier Discovery, and Supplier Management. All of which was implemented, about to be implemented, capable of being implemented, and most definitely not doable with, Gen-AI.

To make it abundantly clear that you don’t need Gen-AI for any advanced enterprise back-office (fin)tech, and that, in fact, you should never even consider it for advanced tech in these categories (because it cannot reason, cannot guarantee consistency, and confidence on the quality of its outputs can’t even be measured), we’re going to talk about all the advanced features enabled by Assisted and Augmented Intelligence (as we don’t really have true appercipient [cognitive] intelligence or autonomous intelligence, and we’d need at least autonomous intelligence to really call a system artificially intelligent — the doctor described the levels in a 2020 Spend Matters article on how Artificial intelligence levels show AI is not created equal. Do you know what the vendor is selling?) that have been available for years (if you looked for, and found, the right best-of-breed systems [many of which are the hidden gems in the Mega Map]). And we’re going to start with Procurement.

Unlike prior series, we’re going to mention some of the traditional, sound, ML/AI technologies that are, or can, be used to implement the advanced capabilities that are currently found, or will soon be found, in Source-to-Pay technologies that are truly AI-enhanced. (Which, FYI, might not match one-to-one with what the doctor chronicled five years ago because, like time, tech marches on.)

Today we start with AI-Enhanced Procurement that was available yesterday (and, in fact, for at least the past 5 years if you go back and read the doctor‘s original series, which will provide a lot more detail on each capability we’re discussing. (This article sort of corresponds with AI in Procurement Today Part I and AI in Procurement Today Part II published in November, 2018 on Spend Matters.)

YESTERDAY

TRUE AUTOMATION

Not sorry to burst the Gen-AI believers’ bubble, but true automation has existed in leading Procurement technology for almost two decades, using tried-and-true rules-based RPA that supports advanced rule construction using the full breadth of boolean logic, mathematical formulae construction, and flexible (regex, clustering, etc.) pattern matching.

SMART AUTO RE-ORDER

Threshold re-order points, adaptive trend analysis (based on sales data for quantity, expected delivery time and economic order quantity for interval and volume determination), and contract/preferred suppliers can handle this better than most stock clerks for MRO / commodity stock items.

GUIDED BUYING

All you need to do this amazingly well is RPA, rules based on contract/preferred/budget, and semantically aware keyword/phrase matching, and, if you want a NLI (Natural Language Interface), traditional semantic processing to extract the key-words/phrases that are the appropriate nouns (and items of interest).

SMART (ADAPTIVE) AUTOMATIC APPROVALS

This is just RPA using a rules based workflow, thresholds, and exception-based decision pattern analysis to allow the thresholds to be adjusted within a range based on an approval and/or the platform to infer the thresholds/rules actually being applied by the approver using pattern identification (based on significant factor analysis or fingerprinting) across exceptions to suggest the necessary rule modifications.

ERROR PREVENTION

This just requires valid pattern definition, context-based range analysis, and outlier detection (using clustering, curve fitting, or trend analysis). Anything that can’t be done with the right mix of these methods can’t be done reliably.

M-WAY MATCH

Anything you can’t do with RPA using rules-based workflow, identifier matching, and confidence-based pattern matching and suggestion SHOULD NOT BE DONE. Moreover, anything that can’t be matched with certainty should be flipped back to the supplier for correction/completion (if key identifiers were missing), possibly with a suggestion/question (for e.g. does this invoice correspond to PO 123XYZ?).

SUMMARY

Now, we realize this was very brief, but again, that’s because this is not new tech, that was available long before Gen-AI, which should be native in the majority (if not the entirety) to any true best-of-breed Procurement platform, that is easy to understand — and that was described in detail in the doctor‘s 2019 articles for those who wish to dive deeper. The whole point was to explain how traditional ML methods enable all of this, with ease, it just takes human intelligence (HI!) to define and code it.

Technology DOES NOT Solve Your Talent Problem!

And any claims to the contrary are a considerable collection of cow cr@p!

So, needless to say, the doctor was disgusted at this thinly disguised advertorial by, and for, Amazon Business, which said technology, i.e. its platform, would solve your talent problem.

Not even close!

According to the advertorial, which appeared, appallingly, in USA Today:

While some churn may be inevitable, organizations can take steps to ensure their procurement teams are satisfied. One major step is ensuring they have the technology they need to do their jobs effectively.

Which is important, but not a major step.

If you ask people what they want in a job, which Gallup did in a survey to 13,085 US employees in 2022, it was:

  1. A significant increase in income or benefits (64%)
  2. Greater work-life balance and better personal wellbeing (61%)
  3. The ability to do what they do best (58%)
  4. Greater stability and job security (53%)
  5. Vaccination policies that align with my beliefs (43%)
  6. The organization is diverse and inclusive of all types of people (42%)

the doctor would bet with certainty that not a single respondent said “better technology” in their top five wants. As he repeatedly points out, which he did yet again in why do successful solution providers ruin everything by becoming tech companies?, no one wants tech or software … no one. They just want whatever makes their job easier, and that ain’t always fancy new tech.

At best, it’s a minor step that can enhance the ability to do what they do best.

Then it quotes their VP who says that since 74% of leaders seeing digitization as­­ key to better operations, the interpretation must be it’s clear we need seamless, consumer-like experiences in business procurement because this is what we are used to.

No! NO! NO! Joël Collin-Demers recently penned a great post on why we need to stop chasing an “Amazon-like” buying experience for requesters in your business! In short, in business, it’s inefficient, ineffective, and downright unpleasant. As Joël says, it’s the paradox of choice.

B2B is not the same as B2C, it’s never been, and never should be. So assuming that B2C is the solution is just plain wrong. B2B needs different solutions customized for the needs of bulk buyers.

The really depressing part about the article is they quote a lot of studies by reputable organizations with really concerning findings about just how bad the talent problem is and give a lot of good advice on what kinds of technology a Procurement organization should have in place. It’s too bad they chose to wrap it in a layer of cow cr@p and sully what could have been a good article on why a company should have a Procurement solution run by good talent (two different problems, two different arguments). They could have written the most credible piece USA Today ever published on the subject, but instead decided to pen some self-service BS rubbish with bad arguments and known wrong conclusions.

The only good thing the doctor can say about it is at least they didn’t mention the Gen-AI bullcr@p when they talked about the use of AI in procurement and got that part right at least!

Here’s the thing, if you have a talent problem, it usually comes down to one of two reasons:

  • you haven’t been able to / can’t hire enough talent
  • the talent you have is leaving

If you can’t hire enough talent, that’s usually because you can’t attract enough talent, and that’s usually because you aren’t hitting the top 6 points in the gallup poll referenced above. You need to step back and

  • evaluate your standard offer (pay and benefits) against the local & global industry norms
  • analyze your work life balance options
  • assess the freedom and control you give employees to do their job
  • gauge the job security you offer
  • minimize your (lack of) vaccination policy (which, if it exists, should match the jurisdiction in which your employee resides — i.e. you comply with legal requirements, and that’s it — the choice should be theirs)
  • ask yourself if you truly are an inclusive organization (which, FYI, does not mean DEI — see THE PROPHET‘s many rants on why this is not inclusivity as, simply put, opportunity does not imply outcome and DEI only measures outcome, which simply means it is being used in some countries as a new form of legal discrimination)

And if you can’t keep enough talent, you have to consider the top reasons people quit (as captured in a 2021 Pew Research Center survey):

  • low pay, see #1 reason for taking a new job
  • no opportunities for advancement
  • no respect
  • child care issues, see #2 reason for taking a new job
  • not enough work hour flexibility, see #2 reason for taking a new job
  • poor benefits, see #1 reason for taking a new job
  • wanted to relocate, see #3 reason for taking a new job
  • too many hours, see #2 reason for taking a new job
  • too few hours, see #4 reason for taking a new job
  • COVID-19 vaccine required, see #5 reason for taking a new job

Now, do you see “poor technology” anywhere on that list? If you do, get a new prescription and review the lists again. You don’t. That’s because, only a small fraction of people who leave a job will quote technology as one of the reasons (and the doctor would guarantee 99/100 it’s not the primary reason), and it’s probably less than the 14% quoted in the article. If you actually dig up the quote Lakeside Software research study, you see it canvassed 600 executives, IT leaders, and employees on the state of workplace technology and their digital experience. Not only is that a small sample group compared to the Gallup and Pew studies, but that’s not a homogenous sample group of employees (who were only 1/3 of the participants) — as executives and leaders (who probably don’t even have to use a computer) have entirely different reasons for taking and leaving jobs than the workforce! And even if the statistic was that high, you should be a heck of a lot more worried about why the other 6 employees are leaving than the 1 who decides he doesn’t like the tech he’s being forced to use, because you have much bigger problems than not having the absolute best tech!

Anyway, if you want more insights into Talent Recruitment, Retention, and Revolutionizing, dig into the SI archives.

Is Your Potential Vendor a Dead Company Walking? Part 2

In Part 1 we reminded you that our space is filling up with dumb companies and that this number, at least in the view of the doctor, is likely at an all time high.

We also reminded you that the doctor believes that your favourite vendor likely won’t be around, or at least not in it’s current form, within two years (or less), as he’s predicting a failure rate of 20% (or more); which, while it sounds pretty significant, is actually a mild prediction compared to THE REVELATOR‘s bold prediction that 75% of companies won’t be around, or at least not in their current form, within 18 months. Wow!

Why? First of all, as highlighted in the doctor‘s revised Dumb Company article, the companies that are (finally) starting to panic (internally) are starting to make the classic mistakes that often signal the beginning of the end.

Secondly, they have been, or are starting to, make the Dead Company mistakes, first highlighted by the doctor in December, 2008, as well as some scary new mistakes that weren’t as common, or that were overlooked by the doctor, sixteen years ago.

And while we can’t compile an exhaustive list for a number of reasons, as per Part 1, we can identify a number of common mistakes that companies who are dead companies walking tend to make (in the final days, even though they don’t always know it’s the final days yet). So if you see these mistakes in spades as a buying organization, best to steer clear until the ship is righted (assuming the vendor recognizes they are off course before it is too late and takes action). (You don’t want to go down with a sinking ship!)

In Part 1, we identified the first six common mistakes we are seeing too often. Today, we identify the next six.

Buzz and Sound Bites are more important than timeless educational content

As the doctor has been lamenting for months and months, the marketing madness is apparently at an all time high, buzzwords have replaced meaningful messages, and the hogwash doesn’t convey any useful information a prospective buyer can use to figure out what the product actually does! (And that’s one of the major causes of the current Procurement Stink, as we hinted at in this article about the Vendor Contribution to the Procurement Stink.)

Sure the hype gets attention, but it doesn’t deliver results!

So if all your research uncovers is buzzwords, sound bites, and hogwash, then you best stay clear of that vendor. As THE PROPHET has stated, M&A is about to make a comeback and the best you can hope for is that they get bought and merged.

If there is interest, your product is the solution

Not only is the doctor seeing too much rapid fire sound bite marketing to see what sticks in the marketers equivalent of throwing pasta against the wall, doubling down on whatever is getting the mot interest, assuming that their solution is the perfect solution for whatever they sold and, finally, assuming that any organization that contacts them is a potential customer and that their product will be the solution, no matter who the organization is, what the organization needs, or what their product actually does.

In short, they are adopting the Big X consulting playbook, everyone’s a client, sell whatever they can, whenever they can, and then hope they can figure out how to deliver later (without the deep strength across domains or the deep bench depth to take on big projects that the Big X have). But they are not consulting firms, they don’t have a suite of third party vendors they can proffer up, and they certainly don’t have the budget or bench to build custom solutions on the fly.

So if the first thing you get to an inquiry off of a sound-bite marketing advert is a hard sell, take a hard pass. A good vendor learns about you and your problems before proffering up a potential solution.

Sales is about numbers, not solutions

As outlined in detail in our recent article on why are there so many tech failures, at the majority of tech enterprises:

  • sales people are compensated on how much they sell, not how successful the solution is for the customer
  • sales people are pressured to hit numbers, or be cut if they have even ONE quarter in the bottom 10% of performers
  • sales people don’t stick around long enough for success to matter

There’s a reason that THE REVELATOR has outright stated in a recent article that after 40-plus years, I say this with the deepest sincerity -– 90% of salespeople aren’t worth the gum stuck on the bottom of a shoe, and that’s because the majority of them are just focussed on selling, not on actually solving a customer’s problem.

If the sales person is rushed to sell, keeps making one time offers that expire at the end of the quarter, or promises rapid returns without a detailed use case analysis, you can be sure they only care about getting your cash in the door, not about whether or not the solution can actually solve any of your problems.

Any temporary price cut to get those initial clients can be made up later!

When times start to get desperate, that’s when desperate organizations that know they need to sign customers now to keep the investors happy (including the venture capitalists and private equity investors) will offer “a few select marquis organizations an initial discount in exchange for joint press releases, quotes, case studies, and marketing sound-bites“, thinking that they can satiate the investors for a while by telling them that those success stories will allow the organization to jack the prices further and that they’ll be able to jack prices considerably at renewal time because of “all the added value” they will have built by then.

However, investors are not dumb and not going to fall for the “price cut now will lead to riches later”, because they’ve seen that fallacy over and over again (and they know that the prices never go back up). Plus, if the solution is really worth 1 Million, there’s no way any successful vendor is going to give you an introductory rate of 100K for a “case study and positive recommendation”. That’s a big red flag for any organization looking for a vendor with a successful solution.

Our tech works, any failure is the result of the implementation team/org

Going back to our recent article on why are there so many tech failures, we noted that one of the primary reasons there are so many tech failures is that, as also noted above, sales people are being forced to sell at any cost. And the reason that even those with a conscience can do this is because they have been told the solution can be adapted and customized as needed, and if it doesn’t work, then it’s the fault of the third party consulting partner’s implementation team for screwing it up.

But that’s bullcr@p, and you know it! First of all, it’s the vendor’s responsibility for selecting their partners as much as it is the partner’s responsibility for recommending the vendor. Secondly, even if the vendor has vetted the partner and assured that they are good people, it is still the vendor’s responsibility to train the partner’s people on their solution, implementation requirements, and best practices. Thirdly, and most importantly, it is the vendor’s responsibility to ensure they don’t make any promises the tech can’t keep, as well as insuring that any customer referrals don’t come with unrealistic expectations. (Heightened is okay if the vendor is willing to put the extra work in, but it must be within the realm of possibility with the current solution … not a future roadmap that may never materialize.)

We know what we’re doing

Just because a founder ran a Procurement Department or convinced an investment firm he knows how to run a company, that doesn’t mean he actually does, especially if it’s his first time. And it doesn’t matter how fast he can learn, how smart he is, how good he can sell, or how charismatic he is. Startup success requires a suite of critical skill sets (which are outlined in Garry Mansell’s Simplify to Succeed), each of which takes years to learn and sometimes a lifetime to master. You can’t wait to learn what you needed to do yesterday. Selling investors is not like selling Procurement technology buyers. And charisma only gets you in the door, on the stage, or an interview with Mr. X himself. It doesn’t necessarily get you the signature, the return invite, or the limelight.

This results in two major mistakes. Unless the founders raised (way) too much money and are under pressure from the investors to put a proper management team in place, they’ll go too light on real operational management (and sometimes marketing management, opting for the attention seeking sound-biters over the steady-state educationally focussed marketers that hook real customers with real problems the vendor’s solution might actually solve), thinking that all they need are a few rock-star developers, a sound-bite marketer, and aggressive sales people. Which isn’t a complete team and not a complete recipe for success.

The next mistake is believing they can do everything in house, and that they “don’t need no advice from no one“. Not other founders (including those who failed once or twice and know what not to do). Not consultants, who specialize in startups and helping companies operate successfully. Not analysts, who’ve seen hundreds of companies come and go (and seen the commonalities in successful solutions and successful companies). And definitely not independent Procurement technology experts who’ve had 20+ years in the space and seen thousands of companies come and go over the decades (and analyzed hundreds and hundreds in detail).

In the mid to late 2000s, even the above average companies, who (in hindsight) probably didn’t need any help, would look for any expert they could find with a decade of experience to help them survive the (coming) downturn (which came, as it always does), improve their solution offering, and grow. Today, a significant percentage of the new generation of founders, high on raising ridiculous amounts of early stage (often pre-beta) funding, running companies making a significant number of dumb company and dead company mistakes, won’t even consider that a third party with a decade or more of experience on them in the space could actually help them.

And while this is a hard mistake to tell directly (as the smart companies won’t necessarily disclose the experts they are working with to give them an edge), if you pay attention to their messages, their speech, and their words, you’ll get some indirect hints as to where the egos might still be too inflated for the company to see success (and you can hence identify it as a company that needs to be evaluated against the dumb company and dead company walking checklists). Phrases such as “I was a buyer for F500 for years managing $B categories“, “We raised 100M because our investors know that we know what the next generation of tech is“, “I’m not a sales guy, I’m a practitioner like you“, “Don’t worry, we know what you need” even before they’ve even asked a single question about your problems and reason for reaching out, etc.

Before we conclude we’d like to again remind you that this is not a complete list of mistakes soon to be dead companies often make, but a starting list of red flags you should look for as a potential buyer of their solutions. There are real, solid, solutions out there from real, solid, vendors who care about your success and who will likely survive the coming implosion. You might have to look quite hard to find them (especially if THE REVELATOR is right and 3/4 will not survive unscathed), but the effort will be worth it because the last thing you want is your solution to fall out from under you just after the implementation is complete.

(And it’s critical to remember that any deep solution is going to take multiple quarters to implement, especially if you need to collect, classify, cleanse, and map years of historical data from multiple systems. For a mini-suite, always expect six [6] to twelve [12] months as a mid-market, and more for a full suite. Yes, some functionality that doesn’t require historical data will be available day one, and other functionality that only requires a year or two of data to get going will be available day ninety one, but no solution with depth is going to be completely implemented in under a quarter. So the next time a vendor says they can do an end to end complete enterprise Procurement installation in 60 days, they don’t have anything deep besides a shiny faketake-to-nowhere UX or a wrapper on third party tech from a company that poses more risk than they do.)