Abstract visualisation of a neural network

AI & Automation

Generative AI that knows your business, not just the internet.

We design and build LLM-powered assistants, search and document tools that answer from your policies, contracts, manuals and ERP data, with the controls an enterprise needs.

Built with: Leading commercial and open-source models, deployed in your cloud

Overview

From experiments to applications people rely on.

Most organisations have tried a chatbot. Far fewer have an AI application that employees trust with real work. The difference is engineering: retrieval that finds the right source, answers that cite it, permissions that respect who is asking, and evaluation that proves quality before and after go-live.

We are model-agnostic. Depending on cost, data residency and the task, we work with models such as Anthropic Claude, OpenAI GPT, Google Gemini, Meta Llama and other open-source models, through cloud platforms including AWS, Microsoft Azure and Google Cloud, or deployed privately.

Retrieval-augmented generation (RAG) over your documents and systems
Answers with citations and confidence, not guesses
Role-based access so users only see what they are allowed to
Evaluation suites that measure accuracy before release

Business outcomes

What you can expect

Faster answers

Employees find the right policy, figure or clause in seconds, with the source cited.

Less manual processing

Documents are read, extracted and checked automatically, with people reviewing exceptions.

Consistent quality

Drafts follow your templates, tone and rules every time.

Controlled risk

Access, logging and evaluation make AI auditable.

Delivery

Senior specialists, from first workshop to steady state.

The consultants who scope your project are the people who deliver it, backed by our delivery centre in India.

What we deliver

Generative AI services

Each service can start as a fixed-scope pilot and grow into a production platform.

Enterprise knowledge assistants

Ask questions across policies, procedures, product and project documents, and get cited answers.

Document intelligence

Extract, classify and validate data from invoices, contracts, forms and correspondence.

Copilots for business teams

Drafting, summarising and analysis tools for finance, procurement, HR, sales and service.

Customer-facing assistants

Website and portal assistants that resolve questions and hand over to people when needed.

Content and proposal generation

First drafts of reports, RFP responses and communications in your tone and format.

LLM platform and guardrails

A shared, secure foundation with logging, cost control, prompt management and safety filters.

Approach

How the engagement runs

A structured method with clear milestones, so risk is visible early and decisions are made with facts.

Frame
Agree the business problem, the users, the data involved and the measure of success.
Prove
Build a working slice on your real data and test it with the people who will use it.
Harden
Add security, evaluation, monitoring and integration so it is safe to run in production.
Scale
Roll out, train users, track value and hand over a solution your team can own.

FAQ

Frequently asked questions

Which AI model do you use?

We choose per use case. We compare leading commercial and open-source models on quality, cost, latency and data-residency needs, and design the solution so the model can be changed later.

Will our data be used to train public models?

No. We design solutions on enterprise services and configurations where your prompts and data are not used for model training, and we can deploy within your own cloud tenancy.

How do you stop the AI making things up?

We ground answers in your approved sources, require citations, test against question sets your experts write, and route low-confidence answers to a person.

How quickly can we see something working?

A focused pilot on one use case typically runs four to six weeks, including evaluation with real users.

Keep exploring

Related services and insights

AI Agents & Automation

Agents that complete multi-step work across systems, with people in control.

Learn more

AI Readiness Assessment

Two weeks, fixed scope: ranked use cases, data and risk check, and a pilot plan.