Our Work | AI Portfolio, Enterprise Projects & Client Results — 7AIBricks

Our work

Transforming Ideas Into Intelligent Solutions

Explore how 7AIBricks helps organisations solve complex challenges using artificial intelligence, automation, data intelligence and custom-built software.

portfolio / live systems
Digital transformation network visual

In production

38

Hours saved / wk

2,400

Uptime

99.9%

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Successful projects
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Client satisfaction
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Productivity improvement
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Industries served

Portfolio overview

Delivering Innovation Across Industries

Every project here reached production and is still running. We build the unglamorous parts — the messy inputs, the edge cases, the integrations — because that is what separates a demo from a system a business can depend on.

AI innovation — frontier models applied where they genuinely outperform rules.

Business transformation — scope tied to a metric the client already reports.

Software excellence — tested, documented, handed over with the code.

Scalable technology — model-agnostic, cloud-native, built to grow.

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Projects shipped

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Automations live

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Industries

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Specialists

Featured work

Six projects, start to finish

AI Customer Service Platform

AI Applications · Insurance

AI Customer Service Platform

A unified support console where an assistant drafts every first response and routes the rest.

  • Claude
  • Python
  • React
  • Azure
Challenge
Ticket volume outpaced a frozen headcount budget; first response was slipping past 24 hours.
Solution
Retrieval assistant over product docs and four years of ticket history, embedded in the agent console with citation links and confidence-based escalation.
Business impact
90% faster first response · CSAT up 12 points · 3× tickets per agent
View Project →
Enterprise Knowledge Assistant

Generative AI · Professional Services

Enterprise Knowledge Assistant

One search box across contracts, wikis, decks and eleven years of project archives.

  • OpenAI
  • Next.js
  • PostgreSQL
  • pgvector
Challenge
Institutional knowledge sat in inboxes and shared drives; new hires took months to become useful.
Solution
RAG pipeline over 1.4M documents with permission-aware retrieval, inline citations and a feedback loop into the index.
Business impact
Research time down 62% · onboarding shortened by 6 weeks
View Project →
Predictive Analytics Dashboard

Machine Learning · Retail

Predictive Analytics Dashboard

Demand, margin and stock-risk forecasts inside the planning tool buyers already use.

  • Python
  • BigQuery
  • React
  • GCP
Challenge
Buying decisions ran on last season’s spreadsheet; overstock and stockouts happened in the same week.
Solution
Forecasting models on unified store, e-commerce and supply data, backtested over four years and surfaced with confidence ranges.
Business impact
£2.4m annualised margin recovered · forecast error down 34%
View Project →
Smart Workflow Automation System

Automation · Manufacturing

Smart Workflow Automation System

Supplier onboarding, approvals and compliance checks as one automated pipeline.

  • Python
  • .NET
  • Azure
  • SQL Server
Challenge
Nine days and four departments to onboard a supplier, with sanctions screening done by hand.
Solution
Orchestrated workflow with document extraction, automated screening, risk scoring and exception-only human review.
Business impact
9 days → under 1 · 70% less manual handling
View Project →
AI Document Processing Platform

AI Agents · Insurance

AI Document Processing Platform

Claim packets read, validated and filed without a person keying a field.

  • Claude
  • Python
  • AWS
  • PostgreSQL
Challenge
A 40-person team keyed claim documents by hand, carrying a five-day backlog through every peak.
Solution
Document intelligence pipeline with LLM extraction, validation rules, confidence routing and human review only on low-confidence cases.
Business impact
60% less manual work · same-day processing · no added headcount
View Project →
Intelligent Business Intelligence Portal

Data Analytics · Government

Intelligent Business Intelligence Portal

A single reporting surface for eleven departments, with plain-language querying.

  • Azure AI
  • Power BI
  • TypeScript
  • SQL Server
Challenge
Each department reported differently; leadership reconciled numbers by hand before every board meeting.
Solution
Central warehouse with governed models, an executive portal and a natural-language query layer over certified datasets.
Business impact
Reporting cycle 9 days → 1 · single source of truth across 11 departments
View Project →

Portfolio

Explore Our Portfolio

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AI Customer Service Platform AI Applications

Insurance

AI Customer Service Platform

Claude · React · Azure

90% faster first response

Enterprise Knowledge Assistant Generative AI

Professional Services

Enterprise Knowledge Assistant

OpenAI · Next.js · pgvector

62% less research time

Predictive Analytics Dashboard Machine Learning

Retail

Predictive Analytics Dashboard

Python · BigQuery · GCP

£2.4m margin recovered

Smart Workflow Automation Automation

Manufacturing

Smart Workflow Automation

Python · .NET · Azure

9 days → under 1

AI Document Processing AI Agents

Insurance

AI Document Processing

Claude · AWS · PostgreSQL

60% less manual work

Business Intelligence Portal Data Analytics

Government

Business Intelligence Portal

Azure AI · Power BI

Reporting 9 days → 1

Underwriting Copilot AI Applications

Insurance

Underwriting Copilot

Claude · Python · Azure

Risk summaries in seconds

Citizen Services Assistant AI Agents

Government

Citizen Services Assistant

OpenAI · Next.js · Azure

82% resolved without a case worker

Clinical Documentation Assistant Generative AI

Healthcare

Clinical Documentation Assistant

Claude · Python · AWS

4.1 hrs saved per clinician/wk

Field Operations Platform Enterprise Software

Utilities

Field Operations Platform

React Native · Node.js · Azure

Dispatch and triage unified

Invoice-to-Payment Suite Automation

Finance

Invoice-to-Payment Suite

Python · SQL Server · Azure

12,000 invoices/month automated

Multi-Cloud AI Gateway Cloud Solutions

Technology

Multi-Cloud AI Gateway

Azure · AWS · GCP · Terraform

Model routing with 40% cost saving

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Industries

Solutions Across Multiple Industries

Healthcare

Challenges

Documentation load, fragmented records

Solutions delivered

Clinical note drafting, triage support

4.1 hrs saved per clinician weekly

Finance

Challenges

Manual reconciliation, slow risk review

Solutions delivered

Fraud detection, document intelligence

12,000 invoices a month automated

Government

Challenges

Enquiry volume, legacy systems, audit demands

Solutions delivered

Citizen assistants, case triage

82% resolved without a case worker

Retail

Challenges

Demand volatility, fragmented channel data

Solutions delivered

Forecasting, unified analytics

£2.4m annualised margin recovered

Manufacturing

Challenges

Unplanned downtime, over-ordering

Solutions delivered

Predictive maintenance, planning models

Downtime cut by a third

Education

Challenges

Administrative overhead, uneven support

Solutions delivered

Enrolment automation, tutoring assistants

Admin effort down 45%

Logistics

Challenges

Route inefficiency, paperwork-heavy handoffs

Solutions delivered

Route optimisation, ETA prediction

On-time delivery up 18 points

Professional Services

Challenges

Proposal effort, knowledge in inboxes

Solutions delivered

Knowledge assistants, drafting copilots

Research time down 62%

Success stories

Real Challenges. Real Results.

Insurance success story

Insurance

60%

reduction in manual tasks

Background
A regional insurer processing 18,000 claim submissions a year, entirely by hand.
Challenge
A 40-person team keyed claim documents into three systems, carrying a five-day backlog through every peak season.
Solution delivered
Document intelligence pipeline with LLM extraction, validation rules and confidence routing — humans review only low-confidence cases.
Technologies used
  • Claude
  • Python
  • AWS
  • PostgreSQL
Business results
Same-day processing · 60% less manual handling · no added headcount through a growth year
Read the full case study →
B2B SaaS success story

B2B SaaS

3×

productivity growth

Background
A support organisation of 22 agents facing doubling ticket volume on a flat budget.
Challenge
First-response time had slipped past 24 hours and CSAT was falling two points a quarter.
Solution delivered
Retrieval assistant over product docs and four years of ticket history, embedded in the agent console with citations and escalation rules.
Technologies used
  • OpenAI
  • Next.js
  • pgvector
  • Azure
Business results
90% faster first response · CSAT up 12 points · 3× tickets resolved per agent
Read the full case study →
Manufacturing success story

Manufacturing

40%

cost reduction

Background
Four production lines running calendar-based maintenance and manual demand planning.
Challenge
Unplanned downtime and chronic over-ordering were absorbing margin nobody could trace to a cause.
Solution delivered
Predictive maintenance and demand forecasting models on live sensor and ERP data, surfaced in the existing planning tool.
Technologies used
  • Python
  • Azure ML
  • SQL Server
  • Power BI
Business results
Downtime cut by a third · carrying costs down 40% · payback inside two quarters
Read the full case study →

Technology

Built with Best-in-Class Technologies

OpenAI

GPT-class reasoning, tooling and embeddings

Claude

Long-context analysis and agentic workflows

Gemini

Multimodal pipelines on Google infrastructure

Azure AI

Enterprise governance and private networking

React

Component systems for complex interfaces

Next.js

Server rendering, routing and edge delivery

TypeScript

Type safety across the whole codebase

Node.js

Service layers and real-time APIs

Python

Model training, pipelines and evaluation

.NET

Enterprise services in Microsoft estates

Azure

Preferred for regulated enterprise estates

AWS

Scalable data and inference infrastructure

Google Cloud

BigQuery-centred analytics workloads

PostgreSQL

Transactional core, with pgvector for retrieval

MongoDB

Document stores for unstructured pipelines

SQL Server

Existing enterprise reporting estates

Development approach

How We Deliver Exceptional Results

Six stages, working software at every one. You see progress fortnightly, not at the end.

  1. STEP 01

    Discovery

    Workshops with the people who run the process, plus the metric success will be measured on.

  2. STEP 02

    Requirements Analysis

    Data, systems and feasibility audit. Every requirement traced to a business outcome.

  3. STEP 03

    Solution Design

    Architecture, UX and guardrails, validated with a working prototype before build.

  4. STEP 04

    Development

    Two-week sprints, evaluation suites and integration with live systems.

  5. STEP 05

    Deployment

    Release into your cloud with monitoring, rollback paths and team enablement.

  6. STEP 06

    Optimization & Support

    Retraining, new use cases and continuous measurement against the original metric.

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