One record per lead
Master view ties uploads, marketplace inquiries, sequences, and replies so teams stop reconciling spreadsheets and duplicate threads.
B2B marketing automation · Growth & intelligence
MGrow (Autowhat AI) unifies lead ingestion, AI-assisted messaging, cron scheduling, and reply tracking—Gmail and WhatsApp Business API included. Upload Excel lists, sync IndiaMART and TradeIndia inquiries, and see what actually moved pipeline in analytics—not scattered inboxes.
The sections that follow translate this into production outcomes, core capabilities, rollout milestones, and answers procurement teams ask first.
If the fit is directional but not exact, a 30-minute working session usually resolves it—our engineers will tell you plainly whether the product matches your bottleneck, or whether a different Autowhat system (or composition) is the right answer.
Master view ties uploads, marketplace inquiries, sequences, and replies so teams stop reconciling spreadsheets and duplicate threads.
OpenAI-generated email and WhatsApp drafts with templates, footers, and variables—on-brand at volume with human send gates where you need them.
Cron-based email and bulk WhatsApp dispatch with daily limits, queues, and warmup—predictable throughput instead of manual blast-and-pray.
Opens, replies, channel mix, and campaign analytics in one dashboard so revenue sees what outreach contributed.
Excel upload with normalization and qualification, plus IndiaMART and TradeIndia sync into the same lead model.
Gmail OAuth, AI drafts, scheduling, thread/reply inbox, footers, and deliverability-friendly warmup campaigns.
Business API templates, bulk and scheduled sends, media, credits, and a real-time chat workspace.
Bree-backed workers for single sends, automation sequences, and WhatsApp bulk—with queue and limit guardrails.
Email and WhatsApp performance, funnels, recent activity, and export-friendly views for ops reviews.
Role-based page access, multi-account settings, and audit-friendly send history per user.
Map workflows, stakeholders, and data contracts. Surface risks early instead of hiding them until UAT.
Ship to production with observability, training artefacts, and rollback plans appropriate to your blast radius.
Run with SLAs, quarterly reviews, and a roadmap tied to measurable operational outcomes.
No. These are productised systems with documented releases, shared core, and customer-specific configuration—not bespoke science projects.
Onboarding is engineered: checklists, integration templates, and clear acceptance criteria so timelines are predictable.
Managed cloud, customer VPC, hybrid, and on-premise footprints are supported depending on product and regulatory posture.
Book a working session with our engineers. We map your bottlenecks to live products and tell you plainly what will work in your environment.