AI-Run Marketing Automation
This connects the marketing tools you already run — your email platform, ad accounts, social scheduler and analytics — and puts an AI layer across them that plans the calendar, produces the assets, manages the campaigns and reports on what happened. It is for teams of one or two who are doing the work of four.
Who it's for
Businesses paying for marketing tools they do not have time to use.
What changes
The tools you already pay for actually get used.
- Starting at
- ₹40,000
- Timeline
- 2–6 weeks
- Category
- AI for Your Existing Software
- Built from
- Vashi, Navi Mumbai
Key takeaways
- This connects your existing stack rather than replacing it.
- The calendar and the reporting usually save more time than the content generation does.
- Approval gates stay on anything that publishes or spends money.
- Attribution stays honest — the system reports what it cannot prove.
- Setup takes 8–14 weeks from ₹3,50,000.
The problem with a two-person marketing team
The work is not hard; there is simply too much of it. A content calendar, four social channels, an email programme, two ad platforms, a website, and a monthly report that takes a full day to assemble.
What gets dropped is always the same things: consistency, testing and measurement. The team keeps the urgent parts running and never gets to the parts that compound.
This system takes the repetitive production and reporting work, leaving the two people to decide strategy and approve output. It does not make a small team into a large one, but it removes the reason small teams stop doing the valuable work.
What connects to what
The layer sits across tools you already pay for rather than asking you to migrate.
| Tool category | Typical systems | What the layer does |
|---|---|---|
| Mailchimp, Klaviyo, Zoho Campaigns | Drafts, segments, schedules | |
| Social | Buffer, native APIs | Calendar, assets, posting |
| Ads | Google Ads, Meta | Variants, tests, budget alerts |
| Analytics | GA4, platform insights | Consolidated reporting |
| CRM | Zoho, HubSpot, Lacewing CRM | Lead source and outcome |
| Website | WordPress, Shopify, Webflow | Content publishing |
The calendar, which is where it starts
Everything else follows from a plan. The system builds a rolling calendar from your campaign objectives, product launches, the festival and seasonal calendar relevant to your markets, and what performed in previous periods.
It then produces the assets against that calendar — posts, emails, ad variants, landing page copy — as drafts in your review queue.
The calendar is editable and your input drives it. A system that plans without you produces a coherent programme for a business slightly different from yours, which is the most common failure of marketing automation generally.
Reporting that says what actually happened
The monthly report is often the single biggest time saving, and the biggest opportunity to be misleading.
The system consolidates across platforms and produces a report covering what was published, what it cost, what it produced, and what changed against the previous period — with commentary explaining movements rather than a wall of charts.
Where attribution is genuinely uncertain, and in multi-channel marketing it usually is, the report says so. A dashboard confidently attributing a sale to the last click before it, when the customer saw six touchpoints, is the kind of reporting that leads to cutting the channels that were actually working.
The right fit, and the wrong one
It suits businesses already spending meaningfully on marketing and constrained by execution capacity — typically ₹1,00,000 a month or more across channels, with one or two people running it.
It does not suit a business with no marketing programme yet. Automating an absence produces nothing, and the money is better spent working out what actually reaches your customers first.
It also does not suit a team unwilling to review output. The approval step is fifteen minutes a few times a week, and a client who will not do it should hire a marketing executive rather than buy this.
Build, cost and ownership
Eight to fourteen weeks from ₹3,50,000: connecting your stack, brand and voice configuration, the calendar system, generation pipelines per channel, the approval workflow and the reporting layer.
Running costs are typically ₹5,000–₹15,000 a month in model usage for an active programme, separate from your existing tool subscriptions and ad spend.
The system runs on your infrastructure with your API credentials. You keep every account and every tool relationship, so removing us changes nothing about your ability to operate.
FAQ
AI-Run Marketing Automation — your questions
Will this replace our marketing agency?
It replaces the production part, not the strategy part. Agencies that add value through market understanding, creative direction and relationships remain worth their fee. Agencies whose main output is a monthly content calendar and a report are doing work this system does faster and cheaper. Several clients have restructured their agency relationship rather than ending it — keeping the strategic input and bringing execution in-house, which usually costs less and moves faster.
What if we use tools you have not integrated?
Most marketing tools expose APIs and integration is usually a few days per tool. Where a tool has no API — some older Indian email and SMS platforms — the options are a scheduled file exchange, which works but is not live, or switching that one tool. We map your stack during scoping and tell you plainly where the gaps are before quoting, rather than discovering them in week six.
How much does it actually save?
In our deployments, the time on content production, scheduling and reporting typically falls by more than half for a small team, with reporting alone often saving a full day a month. What that time gets spent on determines whether the investment pays. Clients who redirect it to customer conversations, positioning and testing see a real return. Clients who simply do less get a cost saving and not much else.
Can it manage our ad budget automatically?
Within limits you set, and with approval on anything material. It can pause clearly underperforming ads, shift budget between variants within a campaign, and alert on cost anomalies. Larger reallocations across campaigns require a person, because those decisions depend on business context the system does not have — a product going out of stock, a margin change, a strategic push. The guardrails are configured before it touches a live account.
Does it work for B2B marketing?
Yes, with different emphasis. B2B needs longer nurture sequences, content weighted towards LinkedIn and email rather than social volume, and attribution over sales cycles measured in months rather than days. The reporting has to accommodate that — judging a B2B programme on this month's conversions is meaningless. We configure the measurement window to your actual sales cycle, which for most B2B clients is the change that makes the reporting useful.
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