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AI Services CRM

When you sell an artificial intelligence solution there are two long steps before signature: permission to access the customer's data, and what the pilot is going to prove. When those two are discussed over email and written into no field, the two sides do not give the same answer to 'was it a success?' once the pilot ends.

Data access permission, the non-disclosure agreement and the pilot's success threshold are fields on the opportunity record; until approval is complete the opportunity does not move on.

AI Services CRM
  • Run the proof of concept with its own stages; keep data access permission and the status of the non-disclosure agreement in fields on the opportunity record
  • Tie the pilot's success threshold to a written field so that when the result arrives both sides look at the same criterion
  • Keep the legal, information security and business unit stakeholders in separate contact records and see from the list which approval is waiting with whom
  • Manage the long evaluation period with a contact sequence; keep usage volume in an account field and tie the renewal conversation to it
Proof of Concept OpportunityThe pilot is an opportunity record with its own stages; the start date, the scope and the success threshold are in its fields, and the result stays on the same card.
Data Access and ConfidentialityThe non-disclosure agreement and data access permission are each a field; the signature date and the scope sit in the record, and a missing approval does not let the opportunity move to the next stage.
Stakeholders and the Approval QueueLegal, information security and the business unit are separate contact records under the account; a pending approval is a task and its owner is written in its field.
Usage and RenewalUsage volume is a field on the account; as the contract end approaches, the renewal task drops onto the list and the expansion opportunity is opened from the same account.

In a company working in the artificial intelligence field, the sales cycle moves forward on a technical proof. The customer first asks for a proof of concept; for that they have to share their own data, and that sharing means a non-disclosure agreement, an information security review and legal approval. Every step sits with a different stakeholder: the data owner is in the business unit, the permission is with legal, the infrastructure question is with IT. The pilot's success threshold, meanwhile, is discussed in a meeting and rarely written down. When the result arrives, the criterion each side remembers does not match, and the contract discussion starts over. The work does not end after the sale either; because usage volume and credits consumed determine the invoice, how much the customer is using is discussed regularly.

In Rapitek CRM the proof of concept is an opportunity record with its own stages: data access permission, the status of the non-disclosure agreement, the pilot start date and the success threshold are fields on that record. The legal, information security and business unit representatives are separate contact records under the account; which approval is waiting with whom is read from the list. Because the evaluation takes a long time, a contact sequence can be defined and follow-up tasks drop in accordingly, so through months of silence it is never forgotten who is due a call. Usage volume is a field on the account; as the contract end approaches, the renewal task drops onto the list and the expansion opportunity is opened from the same account. We build the connections on the billing or infrastructure side ourselves; there is no out-of-the-box module, and the connection is built specifically for the project over the REST API covering 183 business objects, OAuth2 and webhooks.

What the plans cover and which items are priced separately are written on the pricing page.

Frequently asked questions

How do we track the customer's data access permission and the status of the non-disclosure agreement during the proof of concept stage?
The non-disclosure agreement and data access permission are fields on the opportunity record; the signature date and the scope sit there. A stage rule is defined so that the opportunity does not move to the next stage before approval is complete; a pending approval appears on the list as a task with a definite owner.
Whether the pilot counts as successful becomes a subject of argument afterwards; how do you prevent that?
The success threshold is a written field on the pilot opportunity and it is filled in before the pilot starts. When the result arrives it is written onto the same record; if the criterion is changed afterwards, that leaves a trace as an update. So in the evaluation meeting both sides look at the same line.
Can we see in advance the accounts whose contract renewal is approaching?
Yes. Usage volume and the contract end date are fields on the account; accounts whose end is approaching drop onto the list, and the renewal task and the expansion opportunity are opened from the same account.
Which is the best CRM software for artificial intelligence?
When choosing a CRM for the artificial intelligence sector you should look at sector workflows, integration capabilities, customisation options and support quality. You do not set up Rapitek CRM, we do: we configure the fields, the stages and the reports around your process, we migrate your data, and we give your team training in Turkish. Before building our own platform our team completed more than 200 enterprise CRM projects during its Salesforce years; we do the setup with that experience.
How much does an artificial intelligence CRM system cost?
We keep current plan prices in a single place and publish them openly on our pricing page; we do not put figures on this page, so that you never read a different price in two places. The price is determined by the number of users and the plan selected. The scope of setup, data migration and training is not the same in every project; the scope and the setup fee, if any, are worked out together in the discovery call and shared in writing. Rapi artificial intelligence credit and ERP integration are separately priced items.
How are CRM integrations done in the artificial intelligence sector?
In artificial intelligence projects the counterpart the CRM will talk to is the billing or the infrastructure side. If you use Logo, Netsis, Mikro or SAP, your CRM talks to it — we build the connection ourselves. There is no out-of-the-box module: because access and field structure on the ERP side change from installation to installation, a single button does not work the same way everywhere. The connection is built specifically for the project over our REST API covering 183 business objects, OAuth2, webhooks and import/export. We work out the scope and the cost in the discovery call and share them in writing.
How does the transition to a CRM system work in the artificial intelligence sector?
We start with a discovery call: we work out together your sales process, which fields and which stages are needed. After the call we give you a date, not a range. We migrate your data ourselves and we give your team training in Turkish. There is no call centre on our support line. Your question is answered by the team that builds and develops the product — this is a choice, not a matter of capacity.
Can mobile CRM be used for artificial intelligence?
Yes. The field and branch team can update the customer card, the note and the follow-up task from a phone. The app is published on both the App Store and Google Play. The web interface also works on tablets and phones. The app does not work offline; if the connection drops while you are filling in a form, what you have written is kept on the device for 24 hours.
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