AI Call QA & Operations Dashboard: a custom app built inside GoHighLevel
A custom GHL application bringing call quality, team accountability, and lead management together for a healthcare sales team.
Designed and built end to end by Dave Van Larcena, GoHighLevel automation specialist.
One app.
A lot working together.
Pick a tile. Step inside the dashboard. Each screen has a story, and you can explore them at your own pace.
Identifying details are redacted. On-screen figures show the interface, not measured project outcomes.
Outbound calls at scale.
Oversight that couldn’t keep up.
The client’s sales team was making hundreds of outbound calls in GHL, with no scalable way to:
- Review call quality consistently across every agent.
- Coach agents with evidence instead of guesswork.
- Confirm that agents completed the follow-up tasks they marked as done.
- Catch broken workflows and failed automations before leads went cold.
- Prioritize hot leads and recover neglected ones.
A custom app.
Inside the team’s GHL account.
A custom application embedded inside the client’s GHL account that looks and feels like a native HighLevel feature.
The Operations Dashboard brings AI call scoring, manager reviews, task verification, workflow monitoring, and lead intelligence into that workspace.
Three ways it supports the team.
Choose an area to explore. Open a feature when you want more detail.
Select a feature to see how it works.
AI Call QA
AI scores every eligible call across eight rubrics: Opening, Discovery, Value Proposition, Objection Handling, Script Adherence, Tonality, Professionalism, and Closing.
Call detail view
The call recording plays alongside a transcript that follows the audio with speaker labels. Managers can review each rubric’s score and an AI coaching summary covering strengths, improvements, and feedback.
Team quality overview and KPIs
Top performers, a team leaderboard, average scores for each rubric, rubrics worth investigating, and coaching insights drawn from call evidence.
Manager reviews
Managers can enter a score or tick a checklist of specific failures that deducts points automatically. Reviews include notes and agent acknowledgement tracking.
Disputes
Agents can challenge an AI score they consider unfair, with admins responsible for resolving the dispute.
Not Evaluated recovery
Calls the AI failed to score are listed with the exact reason, such as a timeout, and can be re-run in one click.
Agent coaching summaries
Each agent receives an AI summary of strengths, improvements, call practice to work on next, and example calls.
Select a feature to see how it works.
Agent task verification
Tasks marked “Done” are flagged when no call, SMS, or email backs them up.
Workflow monitor
The GHL API tracks live and draft workflows and open execution errors, with links straight to the affected contact.
Knowledge base
An internal training video library provides separate agent and admin views for onboarding.
Select a feature to see how it works.
Lead intelligence
AI reads call transcripts to label leads hot, warm, or cold, with buying signals, objections, and the recommended next action.
Recovery center
Leads with no activity for 30+ days are surfaced so they can be reassigned or followed up.
Contact assignments
Fresh, unassigned leads are distributed to the sales team.
Built around GHL.
- GoHighLevel API
- GHL workflows
- GHL AI agents
- Cloudflare
- GitHub
AI scoring.
Human accountability.
- Runs inside GHL, so the team didn’t have to adopt a new tool.
- Pairs AI scoring with human oversight through manager reviews and disputes.
- Catches its own failures with the recovery queue and workflow monitoring.
- Gives managers accountability data that native GHL reporting doesn’t provide.
Results
[RESULT TO ADD: calls scored per week, review time saved, adoption, client feedback]
Need GoHighLevel to do something it can’t do out of the box?
Let’s talk about a custom app for your team.
Discuss a custom GHL app