AI Agents & Automation
We design, build and run AI agents that answer customers, qualify leads, process documents and complete multi-step tasks across your tools. Every agent is connected to your data, measured against a baseline and governed with clear guardrails and human oversight.
What we deliver
Engage us for the full scope or a single piece. Every engagement is led by a senior specialist and shaped around your goals.
Workshops to find high-value use cases, assess data and risk, and build a prioritized AI roadmap with a clear business case.
Agents that plan and complete multi-step tasks across your CRM, ERP, email and internal tools, with approvals where they matter.
Customer-facing and internal assistants for support, sales and operations on your website, WhatsApp, Slack or Microsoft Teams.
Assistants that answer from your documents, policies and systems, with citations and role-based access.
End-to-end automation of repetitive work with n8n, Make, Power Automate or custom code, using AI for the steps that need judgment.
Phone and voice agents for appointment booking, call routing, reminders and first-line support, handing off to people when needed.
Search, summarization, recommendations and copilots added to your SaaS product or app through secure, scalable APIs.
Model Context Protocol servers and secure APIs that let AI models and agents act on live data in your systems.
Evaluation suites, monitoring, cost controls, prompt versioning and audit trails for AI running in production.
Outcomes
We measure success by business results, not deliverables. These are the outcomes we design every AI agents & automation engagement around.
Agents handle repetitive reading, writing, data entry and follow-up, so your team can focus on judgment calls.
Customers and staff get accurate answers in seconds, at any hour, in their own language.
Every pilot is measured against a baseline for accuracy, time saved and cost per task before it scales.
Guardrails, access control, human approval steps and full audit logs, aligned with GDPR and India's DPDP Act.
Approach
A proven sequence, adapted to your context, with clear checkpoints where you decide whether and how to continue.
Map workflows, data and systems, and rank use cases by value, feasibility and risk.
A working prototype on your real data, tested with the people who will use it.
A production-grade pilot with integrations, guardrails and an evaluation suite, measured against a baseline.
Roll out, monitor quality and cost, improve continuously and extend to new workflows.
Example use cases
Typical agents we design and build. Every business is different, so we start by finding the workflows with the clearest return.
Resolves common questions and order or account queries across chat, email and WhatsApp, and escalates to your team with full context.
Responds to new leads in seconds, qualifies them, books meetings and keeps your CRM up to date.
Reads invoices, contracts, forms and KYC documents, extracts the data and routes it for approval.
Answers staff questions from policies, SOPs and documentation, with citations and permissions.
Reconciles records, prepares reports, chases approvals and keeps systems in sync.
Answers calls, books and reschedules appointments and sends reminders, day and night.
Savings estimator
A quick estimate for one workflow. Adjust the numbers to match your team. We validate real savings, net of running costs, in a pilot.
Estimated time saved
hours / year
Assumes 46 working weeks a year, before AI running costs. This is an estimate only. Results depend on the workflow.
Insights
Straight answers to the questions leaders ask us about IT strategy, cloud, software and AI.
AI & Automation
AI agencies promise a lot. Here is what they actually deliver, how a good engagement runs, what drives cost, and how to tell a capable partner from a thin wrapper around a chatbot.
AI & Automation
Three technologies that are often confused. Here is a clear comparison of chatbots, rule-based automation and AI agents, with examples of where each one fits best.
A chatbot answers questions. An AI agent can also take actions: it looks things up in your systems, fills in forms, updates records, sends follow-ups and completes multi-step tasks, with human approval wherever you want it.
A focused pilot usually takes four to six weeks from kick-off, including integration with your systems and an evaluation suite. Simple automations can go live in days.
We are model-agnostic and work with Anthropic Claude, OpenAI, Google Gemini, Azure OpenAI, AWS Bedrock and open-source models. We choose per use case based on quality, cost, latency and data-residency needs.
No. We use enterprise APIs and platforms that do not train on your data, keep sensitive data in your own cloud where possible, and enforce access controls and logging.
Yes. We build on n8n, Make, Zapier and Power Automate, or with custom code when you need more control, scale or security.
Start a conversation
Tell us about the challenge on your desk. Within one business day a senior consultant will reply with initial thoughts, and with questions if we need them, before any sales conversation.