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Sales teams already have the data. The problem is finding what actually matters.
We built an AI Sales Intelligence Agent that brings together CRM activity, emails, calls, meetings, Slack and WhatsApp into one intelligent layer.
It helps sales teams:
• Identify leads that need follow-up
• Detect opportunities that are going cold
• Understand common customer objections
• Summarize conversations and client history
• Highlight deals that need immediate attention
• Turn sales activity into actionable insights
Instead of spending hours going through CRM records and conversations, teams can simply ask:
"Which leads need follow-up today?"
"Which opportunities are at risk?"
"What objections are prospects raising?"
"What did this client ask for in our last 3 calls?"
The goal is simple: give sales teams the right insight at the right time.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Experimented a bit today with Krea and image generation for a case study I’m putting together around AI EarPods connected to OpenAI.
The focus has been on creating fashion-forward product imagery and art directing a world that feels specific to the identity, rather than just generating nice-looking AI images.
The trickiest part has been product consistency. Especially getting the EarPods to actually sit snug in the ear. If you’ve worked through this process, you probably know the struggle 😅
Simply telling AI to “make it fit more snug or in the ear” doesn’t always work. It loves to reinterpret the product every time.
Still experimenting, but getting closer. If anyone has found a good workflow for keeping products consistent across AI-generated shoots, I’d love to hear it!
TOP!
I automated my entire customer onboarding process using one n8n workflow.
Dropping the ball on day one costs you lifetime customers.
You close a deal. The client is excited.
Then your team forgets to send the welcome package.
Or you pay a customer success manager $70k a year to manually trigger emails and update the CRM.
It is a slow, expensive bottleneck.
I stopped relying on human memory for week-one operations.
Here is exactly what this architecture executes:
→ Data Capture: A webhook catches the new signup and validates the client info.
→ Instant Action: It builds the HubSpot profile and alerts the team via Slack.
→ Time-Delay Sequences: Welcome email instantly. Docs at hour 2. Check-in at day 1. Success guide at day 3.
→ The Loop: It updates the CRM status the moment onboarding is complete.
Here is the ROI:
→ Zero manual admin work for your team
→ Flawless, professional first impressions
→ Week-one client churn dropped to absolute zero
If you want to work with me to build a similar automation in your business, I have a few spots open in my calendar this month.
Book a call here
CRM complexity grows quickly when systems, data and processes stop working together.
ChargedEV partnered with me to simplify and modernise its CRM ecosystem while supporting the company’s continued growth.
The business was operating across multiple HubSpot portals and several disconnected systems, which had created duplicate processes, fragmented customer data and unnecessary manual work.
My role was to help turn that environment into a single, scalable CRM platform.
I consolidated two HubSpot portals into one environment, managed the migration from HubSpot Enterprise to Professional, redesigned the CRM architecture, and migrated and validated business-critical data.
From there, I built automated workflows for sales and operational processes, created custom reports and management dashboards, and connected HubSpot with systems including Jira, Confluence, WooCommerce, Aircall, Calendly, Typeform and Companies House.
The engagement ultimately covered 670+ pieces of CRM work, spanning migration, automation, reporting, integrations and ongoing optimisation.
The result was a much more connected CRM ecosystem, with cleaner data, fewer manual processes and a stronger foundation for the business to continue scaling.
Projects like this are a good reminder that CRM transformation isn’t simply about moving data from one system to another. The real value comes from simplifying the architecture and making the different parts of the business work together.
Strong systems thinking here—consolidating the CRM and validating the migration, rather than just moving data, is what makes the work genuinely scalable.