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// Services

Automate capabilities

Practical AI and automation, measured ROI, not chatbot theatre.

Automate covers AI workflow integration, business process automation, CRM and marketing ops, chatbots, and RPA. Every engagement starts with process mapping and a measurable baseline, cycle time, error rate, or cost per transaction, so pilots have clear success criteria.

LLM integrations include RAG pipelines with citation governance for legal and compliance teams, WhatsApp support bots with CRM handoff, and governed WordPress editorial assistants. We enforce human-in-the-loop review, audit logs, and PII handling before any customer-facing automation ships.

Integration depth matters: Slack-to-SAP approval flows, HubSpot RevOps rebuilds, NetSuite ↔ Salesforce sync, and UiPath bots with SOX-grade exception queues. Automation without observability is debt, we wire alerts, DLQ replay, and executive dashboards into every production workflow.

// Practice areas

AI & LLM workflows

LangChain, OpenAI/Anthropic APIs, pgvector RAG, and confidence thresholds with escalation paths.

CRM & marketing ops

HubSpot and Salesforce scoring, SLA timers, attribution fixes, and nurture sequence engineering.

Chatbots & voice

WhatsApp Business API, Freshdesk handoff, Hindi-English intent coverage, and Consent Mode alignment.

RPA & back-office

UiPath Document Understanding, invoice straight-through processing, and audit trails for regulated finance teams.

// Delivery

Pilot pattern

2–4 week pilot on one high-volume process; workflow automation typically ₹3L – ₹10L, AI/LLM integrations ₹4L – ₹12L.

Governance

Role-based access, prompt versioning, rollback procedures, and monthly ROI review with stakeholders.

Stack

Make, Zapier, custom Node middleware, LangSmith traces, and CRM-native automation where maintainability wins.

Browse case studies › · Engagement models › · Request a scoped proposal ›

// FAQ

Automate services, FAQ

When is RPA better than custom API automation?+

RPA fits legacy UIs without APIs and high-volume repetitive entry. API-first automation wins when systems expose stable endpoints and you need sub-second latency.

Do you train models on our data?+

Default is no training on client data. RAG indexes are isolated per workspace; enterprise API agreements and data retention policies are documented in the SOW.

Can you automate marketing without hurting attribution?+

Yes, we rebuild scoring and tracking before scaling campaigns. Tag governance and single source of truth for KPIs precede funnel automation.

Ready to scope your next initiative?

Share your goals with our Bangalore team. We respond within one business day with a clear path from discovery to delivery.