AI Readiness Assessment for Sales Call Teams: 10 Questions

Your sales team is ready for AI call insights if it scores 14 or more out of 20 on the 10 questions below. Below 8, fix the basics first: AI can only analyse calls it can hear, sort outcomes you have defined, and help if someone acts on what it finds.

General AI readiness assessments, such as Microsoft's and Cisco's, score a whole company on strategy, data, infrastructure and culture. This one checks only what AI on sales calls needs, and takes about 5 minutes.

How to score

Answer for how your team works today, not how it should. Each answer scores 0, 1 or 2; add them up for a total out of 20.

The 10 questions

1. Where do your sales calls happen?
   • 0: on each person's own phone and SIM
   • 1: a mix of personal phones and a business number
   • 2: on one shared business number or calling app
2. Are calls recorded, and are callers told?
   • 0: no recording
   • 1: some calls, or recorded without an announcement
   • 2: every call, with an announcement at the start
3. How many sales calls does the team handle a day?
   • 0: fewer than 10
   • 1: 10 to 50
   • 2: more than 50
4. Who reviews calls today?
   • 0: nobody
   • 1: the owner, now and then, usually after a complaint
   • 2: a named person, in a fixed weekly slot
5. Have you written down what a good call includes?
   • 0: no
   • 1: informally, such as a script some people follow
   • 2: yes, a checklist or scorecard everyone knows
6. How are call outcomes recorded?
   • 0: they aren't
   • 1: free-text notes
   • 2: a fixed list, such as Interested, Needs time, Booked, Not interested
7. Where do leads and follow-up dates live?
   • 0: in people's heads or WhatsApp chats
   • 1: a shared spreadsheet, updated sometimes
   • 2: a CRM or lead sheet updated the same day
8. What languages are your calls in, and have you tested an AI tool on them?
   • 0: several languages or heavy Hinglish, never tested
   • 1: mostly Hindi or English, not tested
   • 2: tested a tool on 20 of our own calls, and it got amounts and next steps right
9. Who will act on what the AI finds?
   • 0: no one in particular
   • 1: a manager, but with no time set aside
   • 2: a named person with an hour a week blocked for it
10. Do callers know calls are reviewed, and who can open recordings?
    • 0: no rule; anyone can listen
    • 1: an informal understanding
    • 2: callers are told, and only named people can open recordings

Questions 1, 2 and 6 matter more than their 2 points suggest. With no recordings in one place or no fixed outcomes, the other answers don't matter yet.

Your score and what to do next

0 to 7: fix the basics in two weeks

1. Move sales calls onto one shared business number. Our virtual number guide explains how to get one in India.
2. Turn on recording, with an announcement at the start of each call.
3. Replace free-text outcomes with a fixed list of 4 to 6 options.
4. Write down what a good call includes; the call audit scorecard is a ready starting point.
5. Take the assessment again after two weeks.

8 to 13: run a two-week pilot

1. Pick one team, or three callers who make the most calls.
2. Switch on AI call summaries and insights for them.
3. Run the 20-call accuracy test in our AI call analysis guide during week one.
4. In week two, hold one call audit that uses the AI flags to choose which calls to open.
5. At the end, compare three things with the fortnight before: follow-ups done on time, calls logged with a next step, and the hours the manager spent reviewing.

14 to 20: roll out and put it to work

1. Switch AI summaries and insights on for the whole team.
2. Run the weekly call audit and a 30-minute coaching session per caller on what it finds.
3. Once a month, count the objections and competitor mentions, and decide whether to change the pitch, the price or the ads.
4. Re-run the accuracy test when you hire callers who work in a new language.

Worked example: a 6-person real-estate team

Illustrative example. The business and its answers are made up to show the scoring.

A brokerage in Indore has 6 callers handling about 80 calls a day. Three use the business number and three still call from their own phones. Its answers: Q1 = 1, Q2 = 1, Q3 = 2, Q4 = 1, Q5 = 0, Q6 = 1, Q7 = 1, Q8 = 1, Q9 = 1, Q10 = 1.

Total: 1 + 1 + 2 + 1 + 0 + 1 + 1 + 1 + 1 + 1 = 10 out of 20, ready to pilot. Volume is not the problem (Q3 = 2). The gaps are the three callers on personal phones (Q1) and no written standard for a good call (Q5 = 0), so the two-week plan starts there: all 6 callers onto the business number, a written scorecard, then a pilot with the 3 busiest callers.

What AI call insights do, and what they don't fix

After each recorded call, TalkEasy by GrowEasy transcribes it and writes a summary of the customer's requirement, discussion points, questions, objections, next follow-up and outcome, usually within a couple of minutes. Its AI call insights flag objections, competitor mentions, buying intent, pricing discussions and follow-up commitments. The team shares one business number that runs in the app alongside each person's existing SIM, and every call is logged against it whoever answers.

None of that fixes a team that doesn't follow up, a script with wrong prices, or calls that never reach the business number. If you scored 0 on questions 1, 7 or 9, start there.

TalkEasy Pro costs ₹999 a month plus GST, with unlimited users. If your callers must keep using their own SIM numbers, a call-log app such as Callyzer (₹175 per phone number a month) tracks those calls instead. For what a good summary should contain, see our call summary guide.

See how TalkEasy's AI call insights work

How we compared: prices and features from each provider's official page, checked in September 2026. Prices exclude 18% GST unless stated.

Last reviewed 24 September 2026.