A CRM summary can contain two plausible answers to the same question. One record says the customer uses a monthly plan; another says annual. An AI email draft can hide that conflict by choosing one answer and writing a confident sentence around it.
Before asking Migma to personalize a message, resolve the facts that materially change its meaning. Give the draft an approved content record, not a request to decide which customer history is true. This is a practical way to keep useful AI drafting separate from unresolved CRM interpretation.
This article is published by Migma. It describes an editorial review method inspired by current CRM discussions, not an automatic CRM reconciliation feature. Product documentation was checked on October 20, 2026.
Find the sentences that depend on customer facts
Start with the message’s promise. Does it refer to an existing plan, a past purchase, a renewal date, a location, or a service outcome? Each reference creates a factual dependency. A generic sentence may be harmless where a personalized one would be wrong.
For a fictional software business, “Explore our collaboration features” can work without claiming which plan a reader has. “Your annual plan already includes team access” requires the correct account, current entitlement, and approved meaning of team access. Good writing cannot supply that evidence.
Mark these dependencies in the brief before producing the design. You do not need to export the entire CRM. Identify the few facts that determine the offer, explanation, and next action, then ask the responsible owner to validate them.
Give each claim an accountable source
Use a small fact record that connects a proposed sentence to its source and reviewer. A useful record includes the value, what it means, the entity it describes, when it was observed, and who can resolve a disagreement.
Consider this fictional review:
| Proposed claim | Conflicting evidence | Required decision |
|---|---|---|
| The account has an annual plan | CRM note says annual; billing owner reports monthly | Billing owner confirms the current subscription before copy uses it |
| The customer prefers the local store | Last purchase was local; profile has another region | Audience owner confirms whether that inference may shape the message |
| A feature is available | Product brief says released; account record says restricted | Product owner verifies availability for the intended account |
The table is an original review example, not a test result. Its purpose is to make uncertainty visible before it turns into fluent copy.
Brevo’s article on agentic AI in CRM discusses why context and human judgment matter in agent-assisted work. This guide uses that topic as discovery. It does not repeat the article’s product-performance claims or assume a CRM agent can establish truth across every system.
Resolve a disagreement instead of averaging it
Do not ask an AI writer to blend two incompatible facts. A monthly and an annual plan do not become a “flexible plan” unless that is an approved description. Likewise, a possible preference is not a confirmed customer request.
Have the owner decide whether to use a verified value, remove the personalization, or hold that candidate until the conflict is resolved. Record the decision in plain language. “Omit plan type; use the account-management link” is actionable. “Use your best judgment” leaves the underlying problem open.
Keep source authority separate from recency. A newer note can still describe the wrong account. A familiar field can still have a different definition from the one the writer expects. Check meaning and identity before treating a timestamp as the final answer.
Draft in Migma from the accepted record
Review the correct brand settings in Migma, including approved facts, voice, references, and instructions. Then give the email one job and supply the accepted content record. State which facts may appear and which unresolved topics must be omitted.
A useful prompt for the fictional plan example could say: “Create an account-management email. Do not mention plan duration or included seats. Explain where the customer can review their account. Preserve this approved destination and use a neutral tone.” This keeps the message useful while the disputed claim stays out of it.
Inspect the resulting copy for new implications. “Keep enjoying your team benefits” can reintroduce the entitlement claim even if the plan label is gone. Review meaning, not just the presence or absence of a forbidden word.
Review variables and fallbacks as content decisions
A personalized template may be correct for a populated example and confusing when a value is missing. Ask the sending-platform owner to show the relevant variable mapping and approved fallback behavior. Do not invent syntax from another system.
Read the fallback as a complete sentence. A missing business name should not leave “Your team at is ready.” If the missing value changes eligibility or the promise, a neutral fallback may not be sufficient; the audience owner needs to decide whether that record should receive the message.
This is a review requirement for the actual implementation. It is not a claim that Migma reads or repairs every connected CRM field automatically.
Compare the final draft with the accepted facts
Run Email Preflight for writing, layout, links, and common delivery-risk checks. A clean Preflight result cannot establish whether a customer’s plan is correct. Keep fact acceptance as its own review.
Use Migma’s supported handoff guidance, then inspect the populated result in the destination. Compare the final sentences, variable values, and links with the accepted record. Confirm that an export or platform wrapper has not introduced a different destination or stale phrase.
Keep the accepted fact record, Migma version, final template reference, and reviewer together. If a material fact changes before release, revisit the affected wording. Start with fewer, well-supported personalized claims; add detail when your team can explain where it came from and why it remains appropriate.
Frequently Asked Questions
Should an AI writer decide which conflicting CRM value is correct?
Assign that decision to the owner of the relevant fact. Give the writer a verified value, an approved neutral alternative, or an instruction to omit the disputed claim.
Is the newest CRM field always the best source?
No. Check what the field means and which entity it describes as well as when it was observed. A recent note about the wrong account does not establish the customer fact needed by the email.
Can Email Preflight verify customer entitlements?
This workflow does not claim that. Use Preflight for its documented email checks and keep customer-fact acceptance with the responsible account, billing, product, or data owner.
What if a missing value changes the email’s promise?
Have the audience and implementation owners decide whether a fallback is valid or the record should be excluded. A grammatically complete sentence is not enough when the missing fact determines eligibility or meaning.