AI lead generation
Prospect lists built from firmographic data and intent signals, enriched and verified before outreach.
EthicsComputer Assistant
Online • Fast Response
Marketing & Sales Automation
Leads go cold when follow-up is slow or inconsistent. We automate the journey from first touch to booked meeting: capture, enrichment, AI scoring, personalised messages over email and WhatsApp, and timely alerts for your sales team.
What this covers
Typical timeline
Proof of concept in 3–4 weeks; production rollout typically 6–12 weeks.
Who it is for
We connect your ad platforms, website, CRM and messaging tools into one automated system, and add AI where it helps most: writing personalised messages, predicting which leads are ready to buy and scheduling social content at scale.
Discuss your requirementB2B companies with long sales cycles and many touchpoints
Real estate, education and healthcare businesses with high lead volume
Marketing teams publishing on several social channels
Founders who want a predictable pipeline without adding headcount
Capabilities
Prospect lists built from firmographic data and intent signals, enriched and verified before outreach.
Models that rank leads by likelihood to convert and route them to the right salesperson instantly.
Email and WhatsApp sequences that adapt to behaviour, written with AI and approved by your team.
Content calendars, AI-drafted posts and scheduling across LinkedIn, Instagram, Facebook and YouTube.
Meeting prep briefs, call summaries and CRM updates generated automatically.
Closed-loop reporting from ad spend to revenue so budget goes where it works.
How we work
You always know what happens next, who is responsible and what you will receive at each stage.
Typical timeline
Proof of concept in 3–4 weeks; production rollout typically 6–12 weeks.
Goals, users, workflows, integrations and success metrics are mapped in a workshop.
Architecture, data model, security design and a milestone plan are signed off.
Two-week sprints with a working preview you can test at every step.
Functional QA, performance checks, VAPT and user acceptance before go-live.
SLA-backed support, monitoring and a roadmap for the next phase.
Deliverables
Technology & standards
We recommend tools based on your scale, budget and existing systems, not on what is fashionable. Every choice is explained in the proposal.
Engagement models
A 3–4 week pilot on your own data with agreed accuracy targets, so you see real results before scaling.
Hardened integration, guardrails, monitoring and admin controls, delivered in milestones with a fixed quote.
Ongoing prompt and model tuning, evaluation runs, cost monitoring and feature additions on a monthly plan.
How pricing works: AI projects are priced in two stages: a fixed-price proof of concept, then a production quote based on what the pilot proves. Model and API usage costs are estimated upfront and billed at actuals.
Get a quoteFAQs
Not when done properly. Messages are personalised using real context such as the page visited or the product enquired about, capped in frequency, and every template is approved by your team.
HubSpot, Zoho, Salesforce, our own EthicsCRM and most CRMs with an API. If you do not have one yet, we help you choose and implement it.
We design around consent: opt-in capture, easy unsubscribe, WhatsApp template rules and DPDP Act principles for personal data. We do not run spam or scraped-list blasts.
Faster lead response and cleaner follow-up usually show in the first month. Scoring models improve as more outcomes are recorded in the CRM.
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ExploreOn-site meetings across Delhi NCR and Haryana from our Rohtak office; remote delivery across India.
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Receive preliminary project architecture, pricing tiers, and timeline estimates within 15 minutes under strict NDA.