Gen AI & Automation
AI strategy through to production -- built inside your existing CRM
From AI readiness assessment to deployed, production-grade AI. Predictive scoring, intelligent chatbots, RPA workflows, and automation built directly into your CRM stack -- no rip and replace.
Overview
Why most Gen AI & Automation projects fail
Most AI projects fail because they are built outside the systems your team already uses. We build AI directly inside your CRM -- Salesforce Einstein, HubSpot AI, Azure AI, or custom models. The result is AI that your sales, marketing, and service teams actually adopt because it lives where they already work.
60%
Avg reduction in manual tasks
30 days
Avg time to first AI model in production
3.5x
Avg improvement in lead conversion
$0
Platform replacement required
Sound familiar?
Problems we fix
in this practice
Your sales team scores leads manually using gut feel
Reps spend 2 hours per day deciding which leads to call. We build predictive scoring models trained on your historical data -- right inside Salesforce or HubSpot.
Your team processes documents manually every single day
Contracts, purchase orders, support tickets, invoices -- all manually read and data-entered. We build intelligent document processing that extracts and routes data automatically.
Workflows exist in the CRM but nobody maintains them
Broken automations, outdated sequences, orphaned workflows. We audit, rebuild, and automate -- then document everything so your team can maintain it.
What is included
Gen AI & Automation -- full service breakdown
Our process
How we deliver Gen AI & Automation
Every project follows this process. You have full visibility at every step -- weekly demos, documented decisions, and no surprises at go-live.
Start your projectAI readiness assessment
We assess your data quality, platform setup, and team capability. Most AI projects fail due to bad data -- we fix that first.
Use case selection
We identify the 2-3 AI use cases with the highest ROI and fastest time to value for your specific business and CRM setup.
Proof of concept
We build a working proof of concept in 2-3 weeks so you can see the AI working on real data before committing to full deployment.
Model training & validation
We train the model on your historical data, validate accuracy, and tune it until performance meets agreed benchmarks.
Production deployment
The model goes live inside your CRM. Your team uses it in their existing workflows -- no new tools, no new logins.
Monitoring & improvement
We monitor model performance, retrain on new data, and improve accuracy over the first 90 days until it is stable and self-sustaining.
Free resource
AI Readiness Assessment -- get it free
Self-scoring worksheet that shows your AI readiness score and the 3 things blocking your first AI deployment.
Client outcomes
Results from this practice
Healthcare
180% increase in marketing-influenced pipeline
B2B Healthcare Company
Marketing Operations Rebuild for a B2B Healthcare Company — From Campaign Chaos to Scalable Engine
Read case study -> Professional Services
300% increase in qualified inbound
CRM Consultancy (60 staff)
Brand Repositioning for a CRM Consultancy — 300% Increase in Inbound Qualified Enquiries
Read case study -> SaaS & Technology
Cost per SQL reduced 61%
B2B Enterprise SaaS Company
Performance Marketing Programme for a B2B SaaS Company — Cost Per SQL Reduced by 61%
Read case study ->Platforms & partners
From our team
Related insights
FAQ
Your Gen AI & Automation questions, answered
What clients say
From teams who have been through this
The AI automation Celumai built has transformed how our admin team works. What used to take 3 hours per day now takes 20 minutes. The ROI was visible in the first month.
Predictive lead scoring increased our sales team's connect rate by 41% in the first 60 days. The model keeps getting smarter every week.
Ready to start?
Start your AI project
Tell us where you want AI to work in your CRM. We will tell you what is realistic and what the ROI looks like.