CRM in a Company: From Chaos to System, or Why AI Alone Won’t Handle It

For many, AI has become a cargo cult, ziggurat, philosopher’s stone, and other magic wands. That said, the benefit of "pure" AI for business automation is roughly the same as from these mythical solutions. A sales manager’s prompt "check the database and pull prospects for the latest deal", accompanied by uploading a file with part of the client base, is a blatant violation of information security and a complete lack of understanding of what exactly to do with a supposedly very smart helper that is in reality just an algorithm. AI integrated into a CRM system as part of its core functionality is far more valuable. BUT! The CRM system remains the foundation and gold standard of customer management. This is precisely why it has survived for nearly half a century. So what’s the secret?

In addition to real competitors (other developers), CRM system developers always have strange "competitors": Excel, notes on mobile phones, and now AI as well. For many, the latter has become a cargo cult, ziggurat, philosopher's stone, and other magic wands. However, for business automation, the benefit of "raw" AI is roughly the same as that of these "wonders". A sales manager's prompt "check the database and get the forecast for the latest deal", accompanied by uploading a file containing a portion of the customer database, is a blatant violation of information security and a complete lack of understanding of what exactly to do with a supposedly very smart assistant that is, in reality, just an algorithm. AI integrated into a CRM system as part of its built-in functionality is already far more interesting. BUT! CRM systems remain the foundation and gold standard for customer management. This is exactly what explains their resilience over almost half a century. So what is the secret?

Data chaos can occur in any company: for example, even if it has a CRM, ERP, BI system, and any other software you can think of. And it may not happen at all, with everything working perfectly. The reverse scenario never works: if all company data is recorded in files, spreadsheets, notes, and notebooks, chaos will always ensue — the only question is whether it appears right from the start (when everything is very easy to fix) or catches up with the business later, when the customer database stops being the asset of the company and the business, and becomes a trophy for individual managers, each of whom uses it for their own selfish purposes. For the company, this poses enormous commercial risks, and it is not just a small hole, but a complete lack of information security.

What can illiterate data storage and management lead to?

Loss of data due to managers leaving or declining loyalty. When a client base forms the foundation of a company's operations (which is almost always the case), the database becomes sensitive information, literally an Achilles' heel: data leaks lead to financial losses and reputational costs. And the most interesting thing is this: if a data leak involves a huge company (for example, a mobile carrier), it triggers a storm of reaction and widespread noise, but barely harms the relationship between the company and its clients; if a manager of a decorative brick plant leaves for a competitor, no blogger or journalist will find out about it, but the plant will incur huge (for its scale) financial losses, lose clients, and damage relationships with clients who sided with the manager or are outraged that their dedicated contact person left for another supplier. It is very important for all small companies that mistakenly believe their data is definitely of no interest to anyone to be aware of this paradox.

But there are also smaller yet no less destructive problems

Lost deals. The causes are varied: for example, a client leaves because they were simply lost track of, or a manager "snatched" a deal from a colleague, and the client did not like the new assigned contact. Without a CRM, it is impossible to keep track of all deals, safely delineate areas of responsibility for deal holders, track the current stage, and monitor the sales funnel. All company operations turn into a roulette game, where luck is treated as a random occurrence rather than a predictable pattern based on a well-optimized process.

Dissatisfied clients. Modern clients are very demanding: they are also facing a crisis, and they want to spend money not only where the required product or service is available, but also where they are treated well, protected from delays, document loss, and associated risks. Understanding the client lifecycle, their specific characteristics, and the features of different client cohorts is extremely difficult without high-quality analytics and data stored in a single centralized database, that is, in CRM. Without a system and automation, sooner or later managers will inevitably forget something or miss a deadline, which leads to complaints, claims, demands, and even lawsuits.

Duplication of effort. If managers are very conscientious but the company does not take care of them and does not implement automation, the situation will be less dire than the one above, but quite distressing for the employees themselves: not seeing their colleague's task, 2-3 managers end up doing the exact same work. A side effect of their efforts is an unhappy customer, who will be called or written to 2 or 3 times before everyone figures out who was first and whose client it actually is. Such "rework" is a significant waste of employee time and ultimately a cost to the company.

Broken processes. Maintaining processes without automation is practically impossible, because any formalization without responsible parties, reminder systems, alerts, and event tracking loses all meaning. No one knows which stage a process is currently at, where the weak link in the process is, or where and how many emails should be sent. While you are sorting out the chain of responsibility via chats like "Vasya, is Promtech currently stuck with you or Alice, and what's the status?", the customer loses patience, and the company loses its reputation.

No analytics, no marketing, no planning. Without all data collected in one place in decent quality, there is no basis to build marketing and analytics on. We IT folks might say "who cares about marketing, forget it", but first, any product developed by any of us has a marketing component, and second, companies across all industries use CRM systems, where marketing plays a significant role. And to run promotions, discounts, promo campaigns and loyalty programs that drive queues for the company's unique value proposition, you need data.

In fact, there are still plenty of minor inconveniences that arise from the lack of a CRM, but we are talking about the overall situation here, and six risks seem sufficient, especially considering that the first one is literally a joker and can take everything down without even touching the other five.

Let's Assume AI

So, let's imagine a company decides to solve its problems using AI: a hype-fueled AI-CRM, or an AI-CRM from some new developer looking to cash in on the wave of interest in AI. What could go wrong?

• AI does not understand the nuances of your business. To get AI to start understanding you, it needs to be trained on your company's large datasets, which must first be properly processed, have the correct instructions developed for them, and all of this uploaded to the AI. This is very expensive and not always possible, so building a solid AI for analytical tasks and drafting deal outlines on the fly is extremely costly and not particularly practical, when you can do it manually using your own judgment and a CRM system.

• AI will not replace anyone on your team. There is nothing to even explain here. If you think AI is capable of replacing the human brain, you either studied computer science or biology poorly, or both. Your clients will most likely not be receptive to AI either.

• AI will leave your data corrupted, and the output it produces will turn into garbage anyway. It does not care at all what you enter, and if you forgot to set up template-based data processing, it will hallucinate based on the data you input, complete with all the errors and duplicates.

• The logic of AI puts managers in a risky position — if you follow AI recommendations mindlessly, your work will end up being unprofessional. You can work with AI in general, but for that you need a pretty sharp mind based on natural intelligence that will catch AI hallucinations, will not take everything the virtual assistant says at face value, and will critically analyze the suggested hints.

• Oh right, feeding data to public AI models is unsafe (by the way, warn your managers about this) — you need to deploy and configure a local one or opt for a secure one. Though who cares about that in a country where the lack of backups has prevailed.

How to Cut Through the Chaos?

We have written multiple times about how to implement a CRM, but something is constantly changing, being added, going out of date (though the framework itself is as vibrant as they come), so we will outline it briefly here so you don't have to go far to find this information.

Conduct a Self-Audit

Conducting an audit of the current state of affairs is the first step you need to take, because the CRM market has its own unwritten motto: "if you automate chaos, you will get automated chaos". Analyze and document the findings in some way:

• What data is collected and by whom? How reliable are these people? How securely is the data stored?

• Where is this data stored? Be sure to find all sources.

• How are transactions processed? How long is the cycle, what are its stages, which funnel does all of this fit into, and what do the responsible parties focus on?

• What processes exist and how are they organized? Who is responsible for each stage, what triggers are active, what deadlines are set, and does all of this even exist in the first place?

• What services are you currently using? After hearing the answer to this question, some managers are literally shocked: sometimes companies pay for three separate telephony services, multiple mailing services, plus they end up with weird subscriptions to project management systems. This zoo of tools needs to be inventoried and cleaned up, so that everything works in unified environments and a clear working setup. The required services will need to be integrated with the CRM system.

It is important to review everything that does not work for you and your team — meticulously, carefully, as if you are tidying up your home and throwing away all unnecessary items. This is not just a matter of cost savings — first and foremost, it is a matter of convenience and security.

Find a CRM

One that will handle the maximum number of tasks with the minimum amount of hassle. Don't chase brands, names, or promises from vendor representatives and partners. Choose a reliable workhorse that can do a lot and doesn't charge extra for connecting funnel, warehouse, analytics and other modules. In 2026, you can find truly decent solutions on the Russian market.

It is better to choose a subscription-based system — this is optimal during a crisis, because you will be able to add and remove employees, receive (rather than purchase) updates, and quickly scale in the required direction. This option reduces potential automation costs (sometimes an office coffee machine ends up being more expensive).

Start with the basics: deals and leads, sales funnel, reports, telephony, email, and messengers. Start working in the CRM with these core functions and expand to processes, analytics, and integrations as you use it. This way you can get started almost instantly, while full operation and, if needed, customization can be completed gradually without disrupting your workflows.

At the same time, train employees on real work examples, because adults learn and retain information exactly that way. Lectures and demonstrations in a real work setting will not help them at all.

What about AI?

Everything is both poison and medicine. AI is very appropriate in a CRM if it is necessary for the company and the team that is automating business. That is exactly the path we took at RegionSoft. Having released the high-performance and powerful RegionSoft CRM 10, we also implemented support for YANDEX AI. We have introduced services that take routine tasks related to data analysis and preparation, recognition of important events, and classification of received information off a person's shoulders. The number of services will grow, but even now there are:

• Automatic analysis and transcription of phone calls with event registration in the customer card, accompanied by text transcripts of the calls.

• Automatic analysis of transcribed calls with preparation of a short conversation summary, registered in the event card, including AI tag identification.

• AI assistant that analyzes events manually registered by users, prepares a short summary and registers it in the event card, including AI tag identification, and also provides recommendations for identifying achieved goals and changing the sales funnel stage.

• AI tagging (intelligent identification of key points in conversations, events, and correspondence) with AI tags registered in events.

• The event report now supports filtering by AI tags.

• AI assistant that prepares a polite business response to an incoming email, taking into account the analysis of the incoming email text with support for the correspondence context.

What does this bring? For example, you don't need to listen to 200 calls to find the one where the terms of supply of a specific product were discussed. In the event report, you only need to add a filter by the key search phrase. As a result, the report will return this conversation in a transcribed form, which was prepared in advance by the AI assistant (immediately after the end of this conversation). The saving is several hours of time. Now you only need to listen to this single conversation. Or not listen to it at all, but read the text summary.

Another example. To find all telephone conversations where the client was irritated, expressed dissatisfaction, swore, in general, where a conflict situation was brewing, it is enough to simply generate a report with a filter set for the AI tag "Conflict". You immediately get a selection of all such conversations and can intervene in the situation promptly.

In fact, this is exactly what AI assistance in a company's operational work should look like: taking on the "safe" layer of analytics and tasks that take unreasonably a lot of time when performed manually, but at the same time make work overall more efficient and more attractive for clients, who, as is known, are passive CRM users - that is, the quality of their service is exactly where the presence of the system has an impact.

The fact that affordable and interesting solutions such as AI are emerging in the world is great, valuable and really needed. While users generate photos, videos and discuss all sorts of things with AI, industry, finance, business, development take the best from the tool and try to strengthen themselves with it, not just play around with it. In the end, this really makes everything better for everyone. But only in symbiosis, in integration with specialized software, including CRM systems, which are developed and evolve in the direction set by real users for living developers who clearly understand how automation works and what it should really bring to a company during implementation. And robots as backup support are exactly where they should be.