Outreach and CRM · Growth & intelligence

AI-powered multi-channel outreach.

MGrow unifies B2B discovery, ingestion, and engagement—email and WhatsApp—from one dashboard. Lead lists, sequences, and replies stay tied to CRM truth instead of 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.

What this means in production

Single outreach spine

Discovery, enrichment, sequencing, and reply routing without duplicate spreadsheets.

Personalisation at scale

Templates and signals that stay on-brand while reducing manual copy for large cohorts.

Measurable pipeline contribution

Attribution-friendly logging so revenue teams see what outreach actually moved.

Lead discovery

Ingest from publishers and lists your team already trusts, with dedupe and compliance checks.

Channel orchestration

Coordinate email and WhatsApp touches with quiet hours and consent-aware defaults.

How rollout is structured

  1. 01 · Discovery

    Map workflows, stakeholders, and data contracts. Surface risks early instead of hiding them until UAT.

  2. 02 · Deploy

    Ship to production with observability, training artefacts, and rollback plans appropriate to your blast radius.

  3. 03 · Operate

    Run with SLAs, quarterly reviews, and a roadmap tied to measurable operational outcomes.

11+Enterprise deployments
10Production products
99.9%Platform SLA target

What operators validate in week one

  • Named integration owners on both sides with weekly checkpoint
  • Written acceptance criteria tied to real workflows—not demo scripts
  • Security review pack: architecture, subprocessors, DPA, and logging
  • Hypercare window with on-call engineering and rollback posture
  • Success metrics agreed upfront (time, cost, risk, adoption)

Common questions

Is this services dressed as software?

No. These are productised systems with documented releases, shared core, and customer-specific configuration—not bespoke science projects.

What does onboarding look like?

Onboarding is engineered: checklists, integration templates, and clear acceptance criteria so timelines are predictable.

Where can we deploy?

Managed cloud, customer VPC, hybrid, and on-premise footprints are supported depending on product and regulatory posture.

Move from evaluation to deployment

Book a working session with our engineers. We map your bottlenecks to live products and tell you plainly what will work in your environment.