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AI & Intelligent Automation

Gen AI and automation that plug into the way you work

We design AI assistants, workflow automations, and machine learning pipelines that sit on top of your existing tools. From WhatsApp and call agents to lead routing, alerts, and analytics, the focus is on systems that quietly run in the background and make your teams faster every day.

From scattered pilots to a production AI engine

You may already have pilots: a chatbot here, an Excel model there, a few automations in silos. We help you connect those dots. Our work spans Gen AI assistants for doctors and sales teams, n8n-based orchestration across CRMs, telephony, and marketing tools, and ML models that track risk, quality, or leaks in real time. Everything is wired with governance, logging, and clear ownership so it’s safe to scale.

AI & Intelligent Automation

AI & Intelligent Automation

How we typically help clients start

Most clients start with one or two focused journeys – leads, appointments, alerts, or internal knowledge – and then extend the same engine across other teams and regions.

Gen AI Assistants & Copilots

Domain-specific assistants for doctors, sales teams, and operations. Lead qualification bots, patient Q&A, internal knowledge copilots, and guided workflows that sit on top of your own data instead of generic web content.

Workflow Automation & Orchestration

n8n-based flows that connect CRMs, WhatsApp, email, telephony (Exotel/Retell), your backend services, and analytics. Lead hand-offs, appointment journeys, follow-ups, and alerts are handled end-to-end with retries and audit trails.

Data & Machine Learning Pipelines

Data pipelines and ML models for scoring leads, predicting drop-offs, detecting anomalies (like pipeline leaks), or tracking KPIs. Built with the same discipline you use for data migration, reporting, and Databricks-style engineering.

Governance, Observability & Cost Control

Dashboards for usage, latency, and errors; clear separation of environments; and API-level controls around prompts, tokens, and data access. You keep visibility on what the AI is doing and what it’s costing you.

AI & API Integration

Make intelligence a native part of your applications

We expose AI as well-structured services so your apps, portals, and mobile experiences can call them without rewriting everything from scratch.

1

Use-case discovery & prioritisation

We map your current journeys – patient onboarding, sales funnels, support flows, field operations – and score AI opportunities by impact, feasibility, and data readiness so you start where ROI is obvious.

2

API design & integration patterns

We expose Gen AI, search, summarisation, and scoring models as clean APIs. Your React, mobile, or backend services call them through stable contracts with clear request/response shapes and error handling.

3

Security, compliance & data boundaries

PII masking, role-based access, logging, and explicit control over which data goes to which provider. Designed for healthcare, cyber, and enterprise environments where auditability matters.

4

Human-in-the-loop & feedback loops

Where decisions are sensitive, AI suggests and humans approve. Corrections are captured as training signals so prompts, rules, and models improve instead of drifting.

Workflow Automation with n8n

Orchestrate leads, appointments, notifications, and ops in one place

Here is where the daily work changes: campaigns, journeys, reminders, escalations, and sync jobs that previously depended on people now run on flows with clear ownership.

1

Event-driven business flows

New lead in the CRM, missed call on Exotel, confirmed appointment, over-due task in the portal – each event can trigger an n8n flow. Perfect for healthcare journeys, real-estate funnels, and operational monitoring.

2

AI in the middle of the flow

Use AI nodes to classify, summarise, or generate. Qualify a property lead, summarise a doctor consultation note, categorise a ticket, or generate follow-up messages that still respect your templates and brand.

3

Reusable blueprints

We build reusable subflows for lead nurturing, appointment reminders, escalation paths, and data sync. A new clinic, project, or campaign doesn’t mean rebuilding automations from scratch.

4

Monitoring & on-call readiness

Logging, alerts, and dashboards so your team knows when a third-party API, database, or AI provider is failing. Critical journeys get SLAs, fallback behaviour, and clear runbooks.

Machine Learning & Model Lifecycle

From data to models that keep helping ops, not just slide decks

We treat models like any other production component – versioned, monitored, and tied back to business KPIs instead of one-off experiments.

Capability
What it covers
Data engineering & feature design
We shape raw operational data – appointments, site visits, sensor data, transactions – into feature sets that ML systems can learn from. Built with the same discipline as your reporting and migration work.
Model training & evaluation
Lead scoring, churn, anomaly detection, risk flags, or simple forecasting. We benchmark baselines and advanced models against business metrics that matter: conversion, utilisation, downtime, or leakage.
Gen AI + RAG for internal teams
Retrieval-augmented assistants for staff: doctors, sales teams, operators, or support. They search across EMR notes, SOPs, project docs, or customer history while staying grounded in your data.
MLOps & continuous improvement
CI/CD for models, monitoring for drift and data quality, and controlled rollouts. You can improve models or prompts without breaking production systems.
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Ready to drive business value at scale with data you can trust?

Power the business
Elevate your data quality
Accelerate business value
Execute with confidence