Content AI platform · Growth & intelligence

The power of a full creative desk—in a governed workflow.

Create, schedule, and publish professional creatives and captions without juggling five disconnected apps. Content AI carries ideas from brief to channel-ready assets, tuned for Instagram, WhatsApp, and marketplace surfaces.

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

End-to-end creative pipeline

Briefs, variants, approvals, and publishing hooks in one place instead of email attachments.

Brand-safe outputs

Templates and guardrails so distributed teams cannot bypass tone, claims, or format rules.

Operator speed

Reduce turnaround for campaigns and always-on social without expanding agency retainers linearly.

Channel packs

Aspect ratios and copy patterns aligned to Instagram, WhatsApp status, and seller marketplaces.

Collaboration and approvals

Lightweight review loops that match how marketing teams already work.

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.