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 tiers of readiness
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 AI Ready
Verified email + name + organisation + LinkedIn + phone. Safe for any action — human outreach, AI sequences, voice, LinkedIn. Every verified field is present.
This is where every contact needs to be for your team to act with full confidence.
AI Ready
Verified email + name + LinkedIn. Safe for automated sequences — email and LinkedIn. One field short of full confidence. No voice calling (missing phone).
Most contacts land here after initial enrichment. A human could call with extra research.
Basic Ready
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 Ready
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 Ready data undermines your credibility, regardless of who acts.
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.
Invalid email addresses
Human impact
A rep sends an email. It bounces. They research the contact, find a new address, try again. 15 minutes lost per contact.
AI impact
An AI SDR sends 200 emails to invalid addresses in one batch. Your domain's sender reputation drops. Legitimate emails start landing in spam.
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 — 7 weighted signals showing exactly how complete and reliable the data is.
- 2. AI Automation Level per contact — which tier they're in and what actions are safe — for your team and for AI tools.
- 3. AI Blockers — the exact fields missing per contact. Fix those fields, move up a tier.
- 4. Duplicate detection — how many contacts in your CRM are the same person, uploaded multiple times.
- 5. New Job Detection — 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.