AI · Service 02

Artificial Intelligence.

From opportunity identification through production deployment — custom AI applications that deliver measurable outcomes, built with the right guardrails from day one.

4 wks
AI Readiness Assessment
8–16 wks
First use-case delivery
60%+
Avg. task-level efficiency gain
ISO 27001
Certified delivery
Overview

Production AI, not AI theatre.

We've shipped AI into regulated environments — housing associations, councils, accounting practices, insurers. That means we know the difference between a demo and a product: evaluation harnesses, human-in-the-loop, audit trails, red-teaming, and a cost model that holds up.

Our AI practice blends senior applied scientists with engineers who can integrate with your ERP, CRM, case management or core banking system. No hand-off gap between proof and production.

Where we help.

01

AI Readiness Assessment

Four-week, fixed-scope review of your data, capability, controls and opportunities — with a costed, sequenced AI roadmap.

02

Use-case discovery & prioritisation

Structured workshops to surface 20–40 candidate AI use cases, scored on value, feasibility, data readiness and regulatory exposure.

03

Custom AI applications

End-to-end build: data pipelines, model development, UI, integration, rollout. Deployed in your cloud, in your identity boundary.

04

Evaluation & MLOps

Offline eval suites, online monitoring, drift detection, prompt versioning, cost tracking — the unglamorous layer that keeps AI trustworthy.

05

AI safety & governance

Alignment with NIST AI RMF and the UK AI Opportunities Action Plan. Policy, decision records, red-team playbooks, incident response.

06

Fine-tuning & small models

When a small, domain-adapted model beats a frontier API on cost and latency — we'll build it, evaluate it and deploy it.

How we work

From readiness to production.

1
Week 1

Opportunity map

Workshop to surface use cases, constrain scope, agree success metrics.

2
Weeks 2–3

Feasibility spike

Data assessment, model shortlist, offline evaluation against your ground truth.

3
Weeks 4–10

Build & integrate

Fortnightly demos, working system in your cloud from sprint one.

4
Ongoing

Operate & improve

Monitoring, retraining, cost optimisation, new-capability rollouts.

Deliverables

  • Working AI application in your cloudDeployed, monitored, documented — not a notebook.
  • Evaluation harnessRepeatable offline + online eval suite with your data.
  • Ops runbookHow to operate, retrain, monitor, incident-respond.
  • Governance packRisk register, DPIA, audit trail, model cards.
  • Business-case artefactBefore/after metrics, 12-month P&L impact, case-study draft.
  • Capability transferYour team trained to operate and extend the system.
Technology

Tools & frameworks we use.

Azure OpenAI
AWS Bedrock
Anthropic Claude
Google Vertex AI
LangChain
LlamaIndex
Pinecone
Weaviate
MLflow
Guardrails AI
Langfuse
Ragas
In production

A real engagement.

Case study

Mid-size accounting firm — AI triage of 42,000 client queries / year.

A Retrieval-Augmented Generation system routes inbound client queries, drafts responses and escalates edge cases. 73% of queries now auto-resolved to partner-quality, freeing ~9,000 hours/year for advisory work.

Read full case study
73%
Queries auto-resolved
9,000h
Partner time freed / yr
£680k
Annual advisory uplift
11 wks
From kick-off to live
FAQ

Common questions.

Is our data safe? Will it train someone else's model?+
Deployments run in your cloud tenancy under your identity perimeter. We use API providers with enterprise data-use terms (no training on your data) and can deploy fully self-hosted open models where regulation requires it.
We're not sure if our data is ready. What now?+
Start with the AI Readiness Assessment — four weeks, fixed price, gives you an honest readout on data, controls, capability and use-case viability before you commit to a build.
Can you integrate with our existing systems?+
Yes. We integrate with Microsoft Dynamics, Salesforce, Intacct, Civica, Capita, QL, ResRelm, Xero, NetSuite and most core banking / claims systems. Identity is usually Entra ID or Okta.
How do you handle hallucination in regulated settings?+
Structured outputs with schema validation, retrieval citations, human-in-the-loop for high-stakes actions, evaluation harnesses that run pre-deploy and in production. We treat it as an engineering problem, not a prompt problem.
Ready when you are

Put your data to work.

Book a free 30-minute consultation with a senior Databuzz consultant.