AI-led Services
Workflows that run themselves so your team does not have to.
The repetitive work in your business is not complex. It is just time-consuming. Someone downloads a report and pastes it into a spreadsheet. Someone routes a lead from a form to the right rep. Someone sends a Slack message when a deal moves in the CRM. Someone pulls data from three platforms and builds a weekly summary. These tasks take minutes each and hours in aggregate. AI workflow automation eliminates them, connecting your tools through n8n, Make, or Zapier and adding AI where the task requires judgment.
The manual workflows AI automation eliminates.
Every business has a version of these workflows. All of them are automatable. None of them require a developer.
Leads from different sources are being manually routed every morning.
Leads come from the website, from IndiaMART, from LinkedIn, and from the sales team inbox. Someone checks each source, copies the lead details into the CRM, assigns a rep, and sends a notification on WhatsApp. This happens every day. It takes 45 minutes. And it is always done by the one person who has the login for everything.
Weekly reports are built manually from multiple platform exports.
The marketing report is a spreadsheet that someone builds every Monday by downloading data from Google Ads, Meta Ads, HubSpot, and Google Analytics, then pasting each dataset into separate tabs, and manually writing a summary. The report that should take 10 minutes takes 3 hours.
Nobody gets notified when something important happens in the CRM.
A deal moves to "Proposal Sent." Nobody tells the finance team to prepare the invoice. A lead comes in from a high-value account. The sales manager does not find out until the next morning meeting. CRM events happen in isolation, and the rest of the team misses the signals that require action.
Data between tools is always out of sync.
The CRM has one version of a contact. The email marketing platform has another. The support tool has a third. Nobody trusts any of them. When a customer writes in, the support agent cannot see the deal history because the tools are not connected. Data sync is a full-time job that nobody has time for.
The same information is entered into multiple systems manually.
A new customer is won. The account manager creates a record in the CRM, sends a summary email to operations, adds the customer to the project management tool, and creates a folder in Google Drive. Four manual tasks that could be one automated trigger.
How we build AI workflow automation.
We map your existing manual workflows, prioritise by time saved, and build automations on n8n, Make, or Zapier, with AI added where the task needs interpretation, not just routing.
Workflow audit and priority mapping
- Manual task inventory, every recurring manual task documented with time-on-task and frequency
- Automation feasibility assessment, which tasks are fully automatable, which need AI, which need humans
- Tool integration map, every tool in the stack listed with available API or webhook connections
- Priority matrix, automations ranked by hours saved per week vs. implementation complexity
- Architecture decision, whether to build on n8n (self-hosted, maximum control), Make (hosted, visual), or Zapier (simplest, most integrations)
Core automation build
- Lead routing workflow, new leads from all sources automatically created in CRM and assigned to the right rep
- CRM event notifications, Slack or WhatsApp alerts triggered by deal stage changes, new high-value leads, or overdue tasks
- Data sync automation, contacts and deals synced between CRM, email platform, and any other connected tool
- Form-to-CRM pipeline, every web form, IndiaMART inquiry, or ad form submission automatically captured with full context
- Enrichment automation, new leads automatically enriched with company data via Clearbit or Apollo before reaching the rep
AI-augmented automations
- AI lead summarisation, new leads automatically summarised with context, ICP fit assessment, and suggested next action
- AI report generation, weekly performance data pulled from all platforms, summarised by AI, and sent as a Slack or email digest
- AI email classification, inbound emails classified by type and routed to the correct team or CRM record automatically
- AI document processing, contracts, invoices, or forms parsed by AI and key fields extracted to the CRM
- Anomaly detection, AI flags when a key metric deviates from its expected range and notifies the right person
Documentation and handover
- Automation documentation, every workflow documented with trigger, logic, and expected output
- Error handling setup, every automation has error alerts so failures are caught immediately
- Team training, 90-minute session on how to monitor, modify, and extend the automations built
- Maintenance guide, how to update automations when tools change or business rules evolve
- 30-day support, bugs fixed and adjustments made post-handover at no additional cost
What is included in an AI workflow automation engagement.
Discovery
- Manual task audit
- Automation priority matrix
- Tool integration map
- Architecture recommendation
- ROI estimate per automation
Automations Built
- Lead capture and routing
- CRM event notifications
- Cross-tool data sync
- Form-to-CRM pipelines
- Lead enrichment automation
AI Layers
- AI lead summaries
- AI report digest
- Email classification
- Document parsing
- Anomaly detection alerts
Handover
- Full workflow documentation
- Error handling and alerts
- Team training session
- Maintenance guide
- 30-day post-build support
This is right for you if:
- Operations and marketing teams in Indian growth-stage companies spending significant time on manual data tasks
- Businesses with leads coming from multiple sources that are being manually consolidated daily
- Companies where the weekly report is built by a human from spreadsheet exports
- Teams where CRM events are not triggering cross-team notifications and things fall through
- Businesses paying for 5+ SaaS tools that are not talking to each other
Not the right fit if:
- Teams that need automation requiring deep custom code or complex database architecture, this is no-code and low-code work
- Single-person operations without recurring multi-step workflows, the investment is better justified at 5+ person teams
Frequently asked questions.
What is AI workflow automation?
AI workflow automation connects your business tools through platforms like n8n, Make, or Zapier and adds AI to handle tasks that require interpretation rather than just routing. For example, a basic automation routes a lead from a form to the CRM. An AI-augmented automation does the same and also assesses the lead against your ICP, writes a personalised summary for the rep, and suggests a next action, all without human input.
What is the difference between n8n, Make, and Zapier?
Zapier is the simplest: a large library of integrations, easy to use, but expensive at scale and limited in logic complexity. Make (formerly Integromat) is more powerful with a visual workflow builder and better error handling. n8n is open-source and can be self-hosted, giving maximum control and no per-task pricing, but requires slightly more technical setup. We select the platform based on your specific needs and technical comfort level.
Do these automations break when tools update?
All automation platforms are subject to API changes when connected tools update. We build error handling into every workflow so failures are caught and flagged immediately rather than silently. The documentation we hand over includes a clear guide on what to check and update when a connected tool changes its API. Most modern platforms maintain backward compatibility, but we design for resilience regardless.
How long does it take to build a typical workflow automation?
The first automation is typically live within 3 days of starting the engagement, after the initial workflow audit is complete. A full engagement building 5-8 automations runs 3-4 weeks. The timeline depends on the number of tools to integrate, the complexity of the business logic, and how quickly we can get API access to the relevant platforms.
Can AI workflow automation connect to Indian-specific tools like IndiaMART, Zoho, or Tally?
Yes. IndiaMART has an API and a native Zoho CRM integration we use frequently. Zoho CRM, Zoho Books, and the broader Zoho ecosystem connect via both native Make/Zapier integrations and direct API. Tally has a limited API but can export data in formats that n8n can process. We map the integration options for every tool in your stack before proposing a solution.
Ready to stop doing manually what a workflow should do automatically?
Book a 30-minute call. We will map your current manual workflows, identify the three highest-value automation opportunities, and tell you what each one will take to build.
Book a call