Use AI to score leads, automate outreach, forecast revenue, and optimize your sales pipeline — so your team focuses on closing, not chasing.
We begin with a full audit of your sales process, CRM data, and pipeline metrics. We identify the highest-impact AI opportunities — whether that is lead scoring, automated outreach, forecasting, or all three — and deliver a scoped SOW before building anything.
CRM audit and data quality assessment with AI readiness scoring
AI-powered lead scoring based on behaviour, demographics, and intent signals
Automated outreach sequences with personalized messaging and follow-ups
Sales pipeline analytics with AI-driven forecasting and deal predictions
Customer segmentation and targeting using AI pattern recognition
Automated meeting scheduling and pre-call intelligence briefs
Win/loss analysis with AI-generated insights and coaching recommendations
Revenue dashboard with real-time KPIs and predictive alerts
A structured, phase-gated process. Every phase includes formal sign-off before proceeding to the next.
We audit your CRM data quality, analyze your pipeline, map sales workflows, interview your team, establish KPI baselines, and score AI opportunities.
We design the lead scoring model, architect outreach sequences, spec forecasting models, map integrations, and deliver a detailed SOW.
We implement lead scoring, set up outreach automation, integrate with your CRM, train forecasting models, build dashboards, and run QA.
We run the AI systems in parallel with your manual process, train your sales team, iterate on feedback, and deploy to production.
30 days of model accuracy tuning, conversion rate analysis, ROI measurement vs. baseline, forecasting calibration, and retainer proposal.
We integrate with all major CRMs — Salesforce, HubSpot, Pipedrive, Zoho, and others. If your CRM has an API, we can connect it. We also work with teams using spreadsheets and help them migrate to a proper system as part of the engagement.
We analyze your historical sales data to identify patterns that predict conversion — things like engagement behaviour, company attributes, timing signals, and interaction history. The AI assigns each lead a score so your team prioritizes the most promising opportunities first.
No. It makes them more effective. AI handles the repetitive work — data entry, initial outreach, follow-up scheduling, lead research — so your team spends more time on relationships and closing. Think of it as giving every rep a full-time assistant.
Most clients see measurable improvements within the first month — faster lead response times, higher contact rates, and better pipeline visibility. Full ROI (revenue impact from AI scoring and forecasting) typically materializes within 60-90 days.
Access to your CRM, historical deal data (wins and losses), and any existing lead sources. The more historical data available, the better the AI models perform. We assess data quality during the audit and recommend improvements if gaps exist.
Real-world examples of how businesses use this service to drive results.
Independent retailers using AI dynamic pricing are seeing 20-35% reductions in operational costs. Here is how AI monitors competitors, inventory, and demand to recommend smarter price adjustments.
Read use caseA small outdoor gear retailer saw a 15% increase in average cart size within six weeks using AI-powered product recommendations. Here is how it works and why it matters for your Shopify store.
Read use case67% of marketing leaders report significant benefits from AI-powered segmentation and lead scoring. Here is how small businesses can use AI to target the right audiences and prioritize the leads most likely to convert.
Read use caseReal estate agents drown in unqualified leads while hot prospects slip away. AI agents that work around the clock are boosting lead volume by 300 percent and increasing conversion rates by 30 to 40 percent.
Read use caseAI agents can monitor competitor websites, social media, ads, and reviews around the clock, reducing competitive research time by 70-80%. Here is how small businesses can gain enterprise-level market intelligence.
Read use caseAI-powered visual search and virtual try-on technology is reducing online returns by 25-30% while increasing conversion rates. Here is how small and mid-sized retailers can adopt it.
Read use caseExplore other ways we can help your business.
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Book a free consultation to discuss your needs and see how we can help.