Services
Generative AI
Generative systems that are grounded, evaluated and safe to put in front of people.
Overview
Generative AI produces text, code, images and structured output from natural-language instructions. Used carefully, it can speed up research, drafting, summarisation and search across large bodies of internal knowledge.
The difficulty is reliability. A model that sounds confident is not necessarily correct. Our generative work focuses on grounding answers in approved sources, measuring quality systematically, and designing the surrounding workflow so that errors are caught before they cause harm.
Problems we help with
- Employees spend hours searching policies, contracts and reports scattered across systems
- Prototype chatbots that hallucinate or leak information they should not
- No agreed method to measure whether answers are good enough for release
- Uncertain cost and latency once usage grows
Capabilities
Retrieval-augmented generation
Index approved documents, retrieve relevant passages and generate answers with citations.
Prompt and workflow engineering
Reusable instructions, structured outputs and multi-step chains with validation between steps.
Evaluation harnesses
Golden question sets, automated grading and human review to track quality over time.
Guardrails and access control
Input and output filters, role-based retrieval and logging for audit.
Fine-tuning where justified
Adaptation of models for narrow tasks when prompting and retrieval are not enough.
Cost and latency engineering
Caching, model routing and batching to keep unit economics predictable.
How we approach it
- 01
Select the corpus
Agree which documents are authoritative, who owns them and how they stay current.
- 02
Build the baseline
Stand up retrieval and generation with a first evaluation set drawn from real questions.
- 03
Harden
Add guardrails, permissions, fallbacks and reviewer feedback loops.
- 04
Release gradually
Pilot with a small group, monitor answer quality and expand as evidence accumulates.
Where it is applied
- Policy and procedure question answering for internal teams
- Summarisation of long reports, call notes and tickets
- Drafting support for proposals, responses and documentation
- Natural-language access to governed analytics definitions
Outcomes to aim for
These are goals we design towards, not guarantees.
- Faster access to knowledge that already exists in the organisation
- Measurable quality scores before and after each change
- Source citations that let users verify answers
- A cost model that scales with usage
Frequently asked questions
Bring us a decision you want to improve.
Tell us about the problem and the data you have. We will reply with a candid view of where we can help.