
AI for RFQs, tenders and customer specifications: from email to a finished quote
How AI reads requests for quotation and tender specifications, builds a list of requirements and a draft quote – and which decisions must stay with the salesperson.
Guide
This guide is for the owner, sales director or COO of a B2B company where customers disappear after their first order and nobody knows why. We show how to calculate what losing a customer costs, who should look after customers after the sale and how to spot early that a customer is planning to leave.

In many service companies, sales signs the contract, the team delivers the work, and then nobody is responsible for the relationship. The customer either stays for years or, after a year, does not renew. The company finds out from the termination notice.
The reasons for leaving rarely come down to one big mistake. Most often, several of the following are at work at once:
Customer lifetime value (LTV) is the margin a customer brings in before they leave. The simplest way to calculate it is annual sales × margin × number of years of the relationship. It is an approximation, but good enough for decision-making.
Take a hypothetical service company whose customer buys PLN 120,000 a year at a 30% margin. If the customer stays for three years on average, they bring in PLN 108,000 of margin (120,000 × 30% × 3). If better care keeps them for four years, they bring in PLN 144,000, or PLN 36,000 more.
Research points in the same direction. Harvard Business Review, citing work by Frederick Reichheld of Bain & Company, states that increasing customer retention by 5% can raise profits by 25–95%. This finding relates to profits, not turnover, and comes from research in service industries. Treat it as an indication, not a forecast for your company.

Two indicators, calculated once a year and once a quarter for key customers, are enough. The first is the percentage of customers at the start of the year who are still buying at the end of it. The second is net revenue retention (NRR).
NRR shows whether your existing customers are paying you more or less than a year ago. Take the customers who brought in PLN 2,000,000 at the start of the year. Over the year, some expanded the relationship by PLN 400,000, others reduced their orders by PLN 100,000, and customers worth PLN 200,000 left.
NRR is therefore (2,000,000 + 400,000 − 100,000 − 200,000) / 2,000,000, or 105%. A result above 100% means the company grows even without new customers. A result below 100% means sales first has to replace the lost revenue before it can start building growth.
You do not need a separate department to start with. In a company with a few dozen active customers, care of key customers can be taken on as part of the role of the COO or an experienced project manager. What matters is that it is one named person.
When it comes to a full-time role, calculate the time instead of copying ratios from other companies. Assume, for example, that a key customer needs 6 hours a month: preparing for and holding the quarterly meeting, reviewing signals, phone calls. With 25 such customers, that is 150 hours, almost a full-time job.
Keep the division of roles with sales clear. The account manager makes sure the customer achieves what they paid for and picks up on new needs. The salesperson prepares the offer for expanding the relationship. When the roles get mixed up, the customer gets two different answers to the same question.

B2B customers rarely leave with a bang – usually they simply do not renew, because nobody reminded them why they signed in the first place.
A customer health score is a simple status – green, amber or red – assigned to each key customer in the CRM. It is calculated from a few signals the company already has in its systems. A change to a worse colour means a task for the account manager.
Watch out for a common mistake: NPS is an indicator calculated for a group of customers, not a rating of a single company. For an individual customer, track their own answer on a 0–10 scale to the question of whether they would recommend your company. The thresholds in the table below are examples – adjust them to your industry.
| Question | Where to get the data | Warning sign |
|---|---|---|
| Is the customer using the service as before? | Orders, tickets, system logins | A clear drop compared with previous months |
| Are they satisfied? | A survey asking about recommendation (0–10) | A score of 6 or lower, or a drop of 2 points |
| Do they pay on time? | Accounting system | Delays longer than usual for this customer |
| Is the relationship growing? | CRM, order history | No new orders or added scope for a year |
| Is the decision-maker engaged? | Calendar, correspondence | No reply for several weeks, or a cancelled quarterly meeting |
The most effective customer care tool is a regular review meeting with the decision-maker at the customer, known as a QBR (quarterly business review). Meet key customers once a quarter, and others once every six months or once a year.
The meeting should include the decision-maker and the person who works with you day to day on the customer’s side, and the account manager and delivery manager on yours. An hour is usually enough if the agenda is prepared. A proven running order looks like this:
A customer usually signals a problem long before giving notice. However, the signals are scattered: sales sees falling orders, accounts sees late payments, and only the account manager notices the silence in the inbox. That is why it is worth bringing them together in one place, such as the CRM.
For each signal, decide in advance who responds and how quickly. Here are some example responses:
Ideally, wherever the team already works. A separate system only makes sense with a very large number of customers. You will find a comparison of typical options in the table below.
Whatever the tool, you need three things: a list of key customers with an assigned account manager, a health status for each of them and a calendar of quarterly meetings with reminders.
| Tool | When it makes sense | What to watch out for |
|---|---|---|
| Your current CRM, such as monday.com or Dynamics 365 | Salespeople already work in it and it holds customer data | Payment and complaint data has to be brought in through integration |
| Microsoft 365: Teams, SharePoint and Power BI | Few key customers and no good CRM | A lot of manual work updating statuses |
| Specialist platforms, such as Gainsight or ChurnZero | Hundreds of active customers and a company selling software on subscription | High cost and a long implementation, usually too much for a mid-sized service company |
Systematic customer care makes no sense where customers buy once, for example in one-off construction projects. There, referrals and good service during delivery matter more. The same goes for many small customers – automated reminders and surveys are then enough instead of personal meetings.
If systematic care does make sense in your company, start with a small step you can sustain. The plan below does not require a new tool or new hires.
Related topics in the knowledge base
FAQ
Questions management boards usually ask when deciding who should look after customers after the sale, and how.
About this page
About the author
Kacper Włodarczyk
CEO of ALGORCOMP
Kacper specializes in implementing Microsoft 365 Copilot, Copilot Studio, Power Platform (Power Automate, Power Apps, SharePoint) and AI agents for mid-sized B2B companies in Poland. He leads dozens of projects covering AI strategy, Power Platform governance, document workflow automation and sales processes. In his writing he focuses on the practical side of AI adoption in organizations — from the first proof of concept to company-wide rollout — with particular attention to data security, compliance (GDPR, NIS2, the AI Act) and return on investment.
Meet the teamWe will help you bring warning signs from accounts, customer service and sales together in your CRM, and set up reminders for meetings with key customers.
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