Customising Your Call Script

Your script is where strategy becomes behavior. The best scripts do not try to control every sentence. They give the AI a clear job, a believable opening, the right questions, and strong boundaries for how to move the conversation forward.

Prerequisites

Script owner and reviewer are assigned.
Campaign objective is clear.
Current performance baseline is captured.

What a script should actually do

For most outbound teams, a strong script should:

help the AI open confidently and quickly
qualify without sounding like a survey
handle common objections without arguing
guide the call toward a clear next step

If your script tries to cover every possible scenario in one block of text, it usually becomes harder for the AI to use well.

Owner responsibilities

Script owner: writes and version-controls changes.
Sales Ops: approves business messaging.
QA reviewer: validates first-call quality after updates.

Steps

Open agent script settings for the target campaign.
Rewrite the opening so it sounds credible, concise, and specific to the audience.
Update discovery questions one section at a time, focusing only on what the AI truly needs to learn.
Add or refine objection guidance for the top pushbacks your team hears most often.
Define the next-step behavior for qualified, unsure, and not-interested outcomes.
Save the changes as a new revision instead of editing blindly over the old version.
Run a small supervised test before broad rollout.
Compare outcomes against the previous baseline and keep only the changes that improved performance.

What each section should include

Opening

The opening should establish credibility fast. Good openings are brief, specific, and easy to understand the first time someone hears them.

Discovery

Discovery should reveal whether the person is a fit, what matters to them, and whether there is enough interest to continue. Keep it light. Long question lists often hurt natural flow.

Objections

Objection guidance should show the AI how to respond calmly, when to clarify, and when to stop pushing. The goal is composure and consistency, not pressure.

Close

The close should make the desired next step obvious. If a call ends without a clear action, the script is usually too vague.

Decision criteria

Change script when objections are repetitive or outcomes are unclear.
Keep script stable if performance is improving and quality is consistent.
Split script by audience segment when one script serves multiple use cases poorly.

Prompt-writing guidance for better scripts

Write instructions around intent, not exact lines the AI must repeat every time.
Tell the AI what matters most in the call, not every possible detail.
Use natural language your team would actually say.
Define what success looks like and what the AI should avoid.
Make one change at a time when testing so you know what caused the improvement.

Anti-patterns to avoid

Overloading one script with too many audiences, offers, or edge cases.
Writing openings that are long before they get to the point.
Using generic phrases that could apply to any company or campaign.
Forcing the AI to ask every qualification question even when the prospect is clearly disengaged.
Treating objection handling like a rebuttal contest instead of a guided response system.

Failure handling and rollback

If call quality drops, pause campaign segment and revert to last stable script.
Review transcripts from at least 10 calls to identify regression point.
Reintroduce changes gradually and re-test.
Escalate to script owner and team lead if regression repeats.

Troubleshooting

The script sounds polished but not believable

Make the opening shorter and more grounded. Remove marketing language your team would not use in a real call.

The AI asks too many questions

Reduce discovery to the minimum needed to qualify or route the lead. Extra questions often lower conversion without improving insight.

Different reviewers keep suggesting different edits

Return to the campaign objective and score calls against that outcome. Script feedback becomes clearer when everyone is measuring the same goal.

Acceptance checklist

New script version is named and documented.
Test batch shows equal or better outcomes.
No major compliance or tone issues in review sample.
Team approves rollout decision.