Services / AI Implementation

AI agents and assistants that work on your data, in production.

We design, build and run AI agents, assistants and document systems on your own data, with the checks, logs and measurements that real business use demands.

The problem

What gets in the way

  • Pilots that never go liveA promising demo stalls because nobody planned for real data, real users and real errors.
  • Answers you can't trustWithout grounding and checks, AI gives confident answers that are wrong.
  • Data privacy concernsTeams hesitate to send business data to AI without clear controls.
  • No way to measureWithout a test set, nobody can say whether the AI is getting better or worse.

What we deliver

What you get from AI Implementation

  • Knowledge assistants

    Assistants that answer from your own documents and data, and show their sources.

  • Agentic workflows

    AI that carries out multi-step tasks using your systems and tools, with approval steps.

  • Document understanding

    Extract, classify and check information from documents at volume.

  • AI quality checks

    AI that reviews work against your rules, with a second check before anything is flagged.

  • Evaluation and monitoring

    Agreed test sets, accuracy tracking and cost tracking, before and after go-live.

  • Guardrails and audit logs

    Every AI decision logged, with human sign-off where it matters.

How we work

Five steps, with you at every one

  1. Choose the use case

    Pick the task where AI saves the most time or risk.

  2. Check the data

    Confirm the data exists, is good enough and can be used safely.

  3. Prototype on your data

    A working version on real examples, in weeks.

  4. Measure

    Test against an agreed set of cases before anyone relies on it.

  5. Go live

    Deploy with monitoring, logs and a way to improve it.

In production

Our AI document intelligence reads 5,000+ pages a day at up to 95% accuracy. In QPaperQC, every high-risk AI flag is checked a second time before a reviewer sees it.

See QPaperQC

Questions

Frequently asked questions

Which AI models do you use?

We choose the model for each task, from Anthropic, Google, OpenAI or open-source providers, based on accuracy, cost and where your data must stay.

Will our data be used to train AI?

We never use your data to train AI models for other clients. The data you put in, and what the AI produces from it, belong to you.

How do you know the AI is accurate?

We agree a test set of real examples with you, measure against it before go-live, and keep measuring in production.

Can it run in our own cloud?

Yes. We can deploy on your cloud or servers, or in India-hosted environments.

Get started

Talk to us about AI Implementation.

Book a free discovery call, or start with a 2-week Discovery Sprint for ₹25,000 + GST, credited to your project if you go ahead.

Book a discovery call

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