NewAgentic AI proof of concept on your data in 2-4 weeks
AI & Agentic AI

AI and Agentic AI that delivers measurable results

We design, build and operate AI agents, generative AI applications and intelligent automation - integrated with your systems, secured by design and measured against your business goals.

Proof of concept in 2-4 weeks Model-agnostic Your data stays yours
Agentic AI

Agents that plan, act and check their own work

Unlike a chatbot, an agent works towards a goal. It decides which steps to take, uses your tools to take them, and verifies the result - with people in control wherever it matters.

  • Single agents for focused tasks, multi-agent systems for complex workflows
  • Secure tool access through APIs and Model Context Protocol (MCP) servers
  • Memory, evaluation and observability built in from day one
Explore agentic AI
Use cases

Where AI delivers value today

Start with a proven use case, measure the result, then scale.

24/7 support agent

Resolves order, refund and account queries on web and WhatsApp - and hands over with full context.

Voice booking agent

Books, reschedules and confirms appointments over the phone in Hindi or English.

Ticket triage

Reads every ticket, tags priority and routes it to the right team instantly.

Quality monitoring

Reviews conversations for sentiment, compliance and coaching opportunities.

Lead research agent

Researches inbound leads, scores fit and updates your CRM before sales calls.

Proposal copilot

Drafts proposals and RFP answers from your past documents and price lists.

Content engine

Creates on-brand blogs, ads and social posts for review and scheduling.

Personalised outreach

Writes follow-ups tailored to each prospect's industry and activity.

Invoice capture

Extracts invoice data, matches it with POs and receipts and posts to your ERP.

Reconciliation agent

Matches payments and bank entries and reports only the exceptions.

Forecasting

Predicts demand, cash flow and inventory needs from your history.

Vendor onboarding

Collects and verifies documents and sets up vendors with approvals.

Résumé screening

Shortlists candidates against the role and schedules interviews.

HR helpdesk

Answers policy, leave and payroll questions instantly with sources.

Onboarding agent

Coordinates accounts, documents and first-week tasks for new joiners.

Learning content

Turns SOPs and manuals into training modules and quizzes.

Coding copilots

Code review, test generation and documentation inside your workflow.

IT support agent

Handles password resets, access requests and FAQs end to end.

Incident summaries

Analyses logs and alerts and writes clear incident reports.

Legacy modernisation

Documents old code and helps migrate it to modern platforms.

Responsible AI

Guardrails that make AI safe to trust

Production AI needs more than a good model. These controls are part of every solution we deliver.

Human in the loop

Approval steps and escalation for sensitive or high-value actions.

Data privacy

PII masking, role-based access and hosting in your own cloud tenant.

Evaluated, not guessed

Accuracy and safety test suites run before every release.

Full observability

Every prompt, tool call, cost and decision traced and auditable.

Model-agnostic

Switch between GPT, Claude, Gemini or open-source models - no lock-in.

Secure by design

Prompt-injection defences, least-privilege tools and OWASP LLM practices.

How we deliver AI

From idea to production in clear steps

Discover

Workshops to understand your goals, users, data and constraints. You receive a written scope and estimate.

Prototype

A clickable design or a working AI proof of concept on your data - so you see value before you commit.

Build

Agile sprints with a demo every week or two, with security and guardrails built in from day one.

Evaluate & Launch

Functional, accuracy, security and performance testing, then a smooth go-live.

Operate & Improve

Monitoring, LLMOps, maintenance and new features as your business grows.

Technology

Models, frameworks and platforms we use

OpenAI GPT Anthropic Claude Google Gemini Meta Llama Mistral Azure OpenAI AWS Bedrock Hugging Face
LangGraph LangChain Semantic Kernel CrewAI LlamaIndex Model Context Protocol pgvector Pinecone Qdrant
Python PyTorch scikit-learn MLflow Databricks Apache Spark Power BI SQL Server
FAQ

AI questions, answered plainly

Free AI discovery session

We map your use cases and share a PoC plan within 48 hours.

Book a session
What is Agentic AI and how is it different from a chatbot?

A chatbot answers questions. An AI agent works towards a goal - it plans steps, uses tools such as your CRM, ERP or email, checks its own work and completes the task, asking a person for approval wherever you decide.

How do you keep our data private when using AI models?

We use enterprise AI services that do not train on your data, mask personal information, apply role-based access and can host everything in your own Azure or AWS tenant - or on open-source models inside your network.

How quickly can we see results from AI?

Usually within 2-4 weeks. We start with a proof of concept on your real data, measure accuracy and value, and only then plan the production roll-out.

Which AI models do you work with?

We are model-agnostic: OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral and others. We benchmark them on your tasks and choose on accuracy, cost, speed and data-residency needs.

How much does a software or AI project cost?

It depends on scope, integrations and scale. After a free discovery call we share a written proposal with a clear breakdown - fixed price or monthly, whichever suits you.

Let's talk

Ready to put AI to work? Let's build your first agent.

Book a free AI discovery session. We will map your highest-value use cases and share a proof-of-concept plan, timeline and estimate - usually within 48 hours.

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