The phrase AI CRM can describe very different products: a CRM with AI features, a replacement system, or an assistant connected to the tools a team already uses. Start by asking which one you are evaluating. Each creates different implementation work, costs and responsibilities.
A property management system, a sales CRM and a scheduling tool may each own different records. Adding AI does not remove the need to decide which record is authoritative. Make those decisions before connecting an assistant that can read or change information.
Create a data ownership map
For each object, name its authoritative system and the allowed action. Typical objects include a prospect, property, appointment, conversation, task and communication preference. A simple written map is enough to expose disagreements before they become duplicate records.
For example, the calendar may own appointment availability while the CRM owns the sales stage. An assistant should not infer that the stage has changed merely because it sent an invitation. Define the event that confirms the change and the destination that records it.
Ask for a field-level integration demonstration
- Read: which fields are available, how current they are and what happens if a field is missing.
- Write: which fields or objects the integration can change and which remain read-only.
- Identity: how a new enquiry is matched with an existing person, and how ambiguous matches are reviewed.
- Status: how external values map to your team's stages without losing meaning.
- Permissions: what access is necessary and whether the integration can operate with a narrower scope.
- Recovery: who sees a failed action, how it is retried and how duplicate writes are prevented.
Vendor names alone do not answer these questions. Confirm support for your product edition, account configuration and required action. Tykuno's RealPage partnership is relevant context, but the scope of an individual integration still needs to be agreed.
Test failures as well as successful writes
Illustrative test: the assistant records a tour, but the CRM update fails. Ask which system still has the confirmed appointment, what the customer is told and how the team finds the unsynchronised record. Repeating the entire workflow should not create another appointment.
Also test expired access, a deleted staff member, changed field names and a duplicate inbound event. These are practical maintenance cases, not just engineering details. The people operating the workflow need to know what they will see and who will fix it.
Decide whether a replacement is justified
Keeping existing software may reduce disruption, but a replacement is not automatically the wrong choice. Compare the current system's limitations with migration effort, reporting continuity, training and exit costs. A new interface can be useful if the team actually intends to change how it works.
If you retain the current CRM, check whether staff must update two systems to complete one task. Identify any new dashboard they need and the purpose it serves. Reconcile sample records during the pilot so missing updates are found before rollout.
Put acceptance criteria in writing
List the supported actions, sample records, failure cases and required reports. Name an operational owner and a technical contact. Agree how data can be exported, how access is removed and what happens when the integration is paused.
Implementation time depends on the systems and workflow involved. Use the agreed scope and acceptance checks to plan the rollout, rather than relying on a generic promise that every integration takes the same number of weeks.