Data Readiness Guide
Is Your CRM Data Ready to Act On?
Your team acts on CRM data every day, calling, emailing, adding to sequences. But how much of that data can they actually trust? A rep calling someone who left six months ago wastes time. An AI SDR doing it 200 times wastes your sender reputation.
The data readiness problem
Every action your team takes assumes the data behind it is accurate. A sales professional assumes the phone number works. A sequence tool assumes the email is valid. An AI SDR assumes the contact still works at the organisation in the CRM.
When those assumptions are wrong, the consequences depend on who's acting. A human calling a wrong number wastes 30 seconds and moves on. An AI SDR sending 200 emails to invalid addresses wastes your sender reputation, and the damage compounds.
The question isn't whether your team should act on CRM data. It's whether the data is ready for them to act on, whether "them" is four sales professionals or an AI tool running at scale.
Four Verified Readiness tiers
Every contact in your CRM falls into one of four tiers based on which verified data fields are present. This determines what actions, human or automated, are safe to take.
Fully Verified
Deliverable email (confirmed at the mail server) + name + organisation + LinkedIn + phone. Safe for any action, including human outreach, AI sequences, voice, LinkedIn. Every verified field is present and the email has been checked for deliverability.
This is where every contact needs to be for your team to act with full confidence.
Mostly Verified
Deliverable email + name + LinkedIn. Safe for automated sequences over email and LinkedIn. Most likely tier if a contact's work email returned Risky or Unknown on the deliverability check, or if Phone is missing. No voice calling without a confirmed phone number.
Most contacts land here after initial enrichment. A human could call with extra research.
Partially Verified
Verified email + name. Email only. A human could work with this carefully. An AI SDR will guess wrong on missing fields.
AI Blockers tells you exactly what's missing to move up a tier.
Not Verified
Missing email or name. Don't act on this. Not for humans, not for AI. Fix the blockers first. These contacts need manual research before anyone should reach out.
Acting on Not Verified data undermines your credibility, regardless of who acts.
See the full AI Readiness breakdown, including what each tier unlocks and how AI Blockers work.
What happens when your team acts on bad data
Every data quality problem affects your team. The difference is scale. A human hits the problem once; an AI tool hits it hundreds of times.
Email decay between batch and send
Human impact
Datuma checks every work email at the mail server during enrichment, so most dead mailboxes are caught up front. If a mailbox dies between your batch and your send, a rep still hits the bounce once and adapts.
AI impact
An AI SDR sending hundreds of emails benefits the most from up-front deliverability checks. Verified Readiness is a snapshot at batch time, so a small decay tail remains. Re-run your batch periodically to refresh the check.
Contacts who've changed jobs
Human impact
A rep calls and hears "I left that organisation six months ago." Awkward, but they adapt and ask for a referral.
AI impact
An AI SDR sends a personalised message referencing their old role at their old organisation. The prospect sees outreach that's clearly wrong and clearly automated.
Existing customers get cold outreach
Human impact
A rep cold-calls a contact and learns mid-conversation that they're already a customer. The customer feels like your organisation doesn't know who they are.
AI impact
An AI SDR sends a cold prospecting sequence to your biggest account's decision-maker. They forward it to their account manager asking what's going on.
Duplicate contacts
Human impact
Two reps chase the same prospect without knowing. Territory conflict. The prospect gets two near-identical calls in the same week.
AI impact
Three duplicate records means three AI-generated sequences. The prospect receives near-identical outreach from three different reps at your organisation.
How to check your CRM's readiness
The fastest way to assess readiness is to score a sample of your CRM data. Upload a CSV with your contacts and get back:
- 1. Trust Score (0–100) for every contact, with 12 independent signals showing exactly how complete and reliable the data is.
- 2. Verified Readiness per contact, showing which of the four tiers they're in and what actions are safe, both for your team and for AI tools.
- 3. Work Email Deliverability, run on every contact with a LinkedIn URL. Each contact gets a Valid, Risky, Invalid, Unknown, or Unverified result in a dedicated CSV column. Fully Verified requires Valid.
- 4. AI Blockers, the exact fields missing per contact. Fix those fields, move up a tier.
- 5. Duplicate detection, showing how many contacts in your CRM are the same person, uploaded multiple times.
- 6. New Job Detection, surfacing contacts who've moved to a different organisation since your CRM was last updated.
The result is a clear picture of what percentage of your CRM is ready to act on, and exactly what needs fixing to get the rest there.
Check your data readiness score
Upload 50 contacts from your CRM. See your readiness distribution, Trust Scores, and AI Blockers on your own data. Free, 5 minutes.