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AI CONSULTING · HUMAN ENABLEMENT

Built to think.
Designed to adapt.

We bring AI into the parts of your business where it can make a genuine difference and make sure your people know exactly how to use it.

Decode your opportunity See our approach

Trusted on work for

Scottish CourtsRolls-RoyceDepartment for EducationHudson and HayesCoexNHS — South Yorkshire ICBTSG / DaytaCitadel HealthChalkys.com

THE OPERATING CODE

AI that becomes part of
how your business works.

01

Practical, not hype

We skip the buzzwords and focus on the workflows where AI actually saves your team hours every week.

02

Tailored to your business

Every roadmap starts with your processes, your tools and your people — never a generic template.

03

Measurable ROI

We agree on the numbers up front: hours saved, cost reduced, output shipped. Then we track them.

04

Ongoing support

Adoption doesn't end at go-live. We stay close with office hours, refreshers and new-tool reviews.

TWO STRANDS. ONE OUTCOME.

Technology and people,
developed together.

We do not simply provide an AI product. We help implement the right solutions and train your staff to use AI confidently, responsibly and effectively in their everyday work.

01

AI Strategy & Implementation

We do more than recommend a product. We identify where AI can improve your business, select the right tools and help put practical workflows into operation.

  • AI strategy aligned to business goals
  • Workflow and process audits
  • Tool selection and vendor comparison
  • Implementation support and governance
02

Staff AI Training

We train your staff to become confident, responsible and AI-savvy. Every hands-on program uses real tasks from your business so the skills transfer directly into daily work.

  • Practical workshops for staff and leadership
  • Role-specific upskilling tracks
  • Hands-on learning using real workflows
  • Ongoing coaching, refreshers and office hours

ENGAGEMENT MODELS

Choose your
evolution path.

SEQUENCE 01

Kickstart

A fast, focused starting point for teams new to AI.

From $Xone-off engagement
  • Discovery workshop
  • Workflow opportunity audit
  • Tool shortlist and recommendations
  • 90-day action plan
Select sequence
SEQUENCE 02OPTIMAL FIT

Accelerate

For companies ready to roll AI out across teams.

From $Xper month
  • Everything in Kickstart
  • Implementation roadmap and pilots
  • Hands-on build support
  • Monthly ROI reporting
  • Priority advisory access
Select sequence
SEQUENCE 03

Enterprise

Company-wide strategy, governance and rollout.

Customannual partnership
  • Everything in Accelerate
  • Governance and risk framework
  • Multi-department rollout
  • Executive briefings
  • Dedicated lead consultant
Select sequence
“We went from talking about AI to shipping with it in six weeks. The roadmap was blunt about what wasn't worth doing — that saved us the most.”

Chief Operating Officer · Northwind Logistics

CASE STUDIES

We don’t just advise.
We build and deploy.

01

Agentic Document Extraction

Scottish Courts

Context

Case documentation arrives across 50 courts in inconsistent formats, with no shared template and no structured data behind it.

Challenge

Template-based extraction breaks the moment a court formats a document differently, and per-court customisation does not scale to 50 sites.

Solution

  • Multi-stage agent pipeline: classify, locate, extract, verify — each stage a narrow decision passing structured state to the next
  • Layout-aware document intelligence that reads structure and context rather than pattern-matching fixed templates
  • Structured output validation so unusual documents fail visibly at one stage instead of silently producing wrong data
  • One pipeline generalising across all 50 courts with no per-court configuration
Azure AI FoundryAgentic PipelineDocument Intelligence
02

Courtroom Proceedings Transcription

Scottish Courts

Context

Multi-party courtroom audio needed to become a durable, searchable written record of proceedings.

Challenge

Sensitive audio cannot leave controlled infrastructure, and unscripted overlapping speech defeats generic transcription — while long hearings make per-minute API pricing untenable.

Solution

  • Whisper large-v3 self-hosted on local GPU with faster-whisper (CTranslate2) for batched throughput
  • Speaker diarisation with pyannote.audio across unscripted, overlapping multi-party proceedings
  • Ingest, segment, transcribe and store pipeline producing retrievable structured transcripts
  • On-premise by design: no audio egress, no per-minute cost on long hearings
Whisper large-v3faster-whisperpyannote.audioOn-prem GPU
03

Document Ingestion & Agentic Compliance Verification

Rolls-Royce

Context

Every engine return brings thousands of documents — maintenance records, service bulletins, inspection reports — that must be checked against compliance references.

Challenge

Manual review at that volume is slow and inconsistent, and any automated conclusion is worthless to an auditor unless it can be traced back to the exact source page.

Solution

  • Mixed-format ingestion and layout-aware OCR across scans, stamps and handwritten annotations
  • Agentic analysis judging whether evidence actually satisfies each compliance reference, per unit
  • Provenance as a first-class output: every finding linked to source document and page location
  • Human effort redirected to exceptions instead of thousands of pages that are fine
OCR at scaleAgentic ReasoningProvenance Tracking
04

FE Teaching Service Revamp, Chat Agent & AI Personalisation

Department for Education

Context

Teach in Further Education published pages covering every possible route into teaching, for a very mixed audience of career changers and industry professionals.

Challenge

Visitors had to self-diagnose which route, qualification and funding applied to them, and the underlying content model held nothing structured enough to personalise against.

Solution

  • Complete data restructure capturing sector background, qualifications, subject interest and intent as structured attributes
  • Embedded chat agent answering in plain language while acting as the front end of the data pipeline
  • AI personalisation driving route recommendation, tailored qualification and funding content, and next-step prompts
  • Full front-end rebuild on the GOV.UK Design System to WCAG 2.2 AA
GOV.UK Design SystemChat AgentAI PersonalisationWCAG 2.2 AA
05

Realtime Voice Agents

Hudson and Hayes

Context

Customer phone conversations needed to be handled by voice agents that feel immediate and on-brand, across inbound and outbound flows.

Challenge

Speech-to-speech has to stay low-latency while still grounding answers in domain knowledge and executing real actions mid-call — and quality has to be measurable in production.

Solution

  • Production voice agents on Azure AI Foundry using the GPT-4o realtime API, with function calling for in-call tool use and action execution
  • Azure Communication Services telephony with Azure Speech STT/TTS across inbound and outbound call flows
  • Custom knowledge grounding for domain-specific, on-brand responses
  • Evaluation and observability pipelines tracking call quality, latency and tool-use accuracy in production
Azure AI FoundryGPT-4o RealtimeACS TelephonySpeech STT/TTS
06

Multi-Agent KYC Onboarding

Coex (client: Ardonagh)

Context

Ardonagh Specialty onboarded clients through a manual analyst workflow, gathering KYC evidence by hand from multiple external registers.

Challenge

Onboarding took days or weeks, data had to be reconciled across sources with conflicting records, and everything had to hold up in a regulated compliance environment.

Solution

  • Multi-agent system on Azure AI Foundry gathering and reconciling data across Companies House, LexisNexis WorldCompliance and internal PAS into structured risk summaries
  • Resilient API integrations with caching, retry and rate-limit handling — full agent runs under 30 seconds per case
  • Azure Logic Apps orchestration: inbox monitoring, Document Intelligence extraction and automatic case creation in MongoDB
  • Auth, audit logging and role-based access throughout — time-to-onboard cut from days or weeks to hours
React / TypeScriptFastAPIAzure Logic AppsMongoDB
07

Clinical Knowledge Assistant

NHS — South Yorkshire ICB

Context

Patients and staff needed reliable answers drawn from clinical guidelines, policy documents and regional service information.

Challenge

A greenfield build in a clinical setting has no tolerance for hallucination or stale information, while service discovery was scattered across dozens of regional sites.

Solution

  • Azure AI Agent SDK with LangGraph state orchestration, LangChain retrieval chains and LlamaIndex sanitisation — 90% accuracy against NHS clinical guidelines with zero hallucination incidents
  • Real-time Bing grounding blended with proprietary knowledge, cutting outdated information issues by 95%
  • Document Intelligence OCR over policy PDFs into Azure AI Search with hybrid lexical + semantic search — query resolution from 12 minutes to under 30 seconds
  • MCP server exposing the assistant inside the NHS South Yorkshire GP app, serving 3,000+ monthly active users at a 94% query success rate
  • Event-driven Azure Functions pipeline at 99.7% uptime, 15,000+ daily records, and Crawl4AI scraping across 50+ regional sites
Azure AI SearchLangGraphAzure FunctionsCrawl4AI
08

Sage Intacct Integration Platform

TSG / Dayta (Sage Partner)

Context

Client finance systems needed two-way Sage Intacct integrations delivered repeatedly and safely.

Challenge

Integration work was bespoke and manual, with release risk and support overhead growing with every new client.

Solution

  • CI/CD pipelines on AWS CodeBuild and CodePipeline with TDD, API authentication and encryption standards
  • Serverless event-driven workflows using AWS Lambda and Step Functions
  • Two-way Sage Intacct integration on Docker/Kubernetes with GitHub and Jenkins automation
  • Internal Flask and React tools on AWS Amplify automating client support workflows
AWS LambdaStep FunctionsKubernetesReact
09

Laboratory Platform Engineering

Citadel Health

Context

Clinical laboratories ran high-volume workflows on a laboratory information management system.

Challenge

The platform had to scale with sustained clinical throughput while keeping interfaces well-specified for integrators.

Solution

  • RESTful APIs with Django REST Framework and OpenAPI supporting high-volume LIMS workflows
  • Scalable AWS architecture across EC2, S3, RDS, Lambda, API Gateway and IAM
Django RESTOpenAPIAWS
10

Competitor Pricing Data Platform

Chalkys.com (Shopify)

Context

An ecommerce business needed continuous visibility of competitor pricing and product data.

Challenge

Collection and analysis were manual and inconsistent, so pricing decisions lagged behind the market.

Solution

  • Airflow and Databricks pipelines with scheduled DAGs for reliable large-scale transformation
  • Databricks SQL powering real-time analytics and reporting dashboards
  • Grafana monitoring across pipeline performance
Apache AirflowDatabricksGrafana

FIELD NOTES

Fresh intelligence,
practically applied.

All insights
01 · Strategy

Where to actually start with AI in your business

Most companies start with the tool. Start with the task instead — here's a simple way to find the ones worth automating first.

6 min read 02 · Training

Why most AI training doesn't stick (and what does)

A one-off webinar changes nothing. Programs that change behaviour share four traits — practice, relevance, managers, and follow-up.

5 min read 03 · ROI

How to measure AI ROI without fooling yourself

Hours saved is a start, not an answer. A practical framework for proving value your finance team will accept.

7 min read

BEGIN THE SEQUENCE

Ready to evolve the way
your business works?

One focused conversation. No generic pitch deck. We’ll identify where AI can make the clearest difference first.

Book a discovery call