AI solutions & generative AI development · Practice 01

Governed, grounded AI — built into the systems you already run.

From a first focused pilot to production at scale. We connect models to your documents, data and records with permission-aware retrieval, citations and guardrails — then engineer the web, cloud and data platforms around it on Google Cloud. Secure, governed, and built around your existing systems — for clients in the UK, Pakistan and worldwide.

Google CloudVertex AIGemini EnterpriseBigQueryDocument AIAzureAWSSalesforceDynamics 365Zoho
See it work

Grounded answers, not confident guesses.

Every answer is retrieved from your approved sources, cited, and auditable. When the sources don't support an answer, the assistant says so.

  • Your data never trains public modelsContent grounds answers at request time; nothing is used for training.
  • Deploys in your cloud or on-premiseGoogle Cloud, Azure, AWS — or inside your own perimeter.
  • Permission-aware by designPeople only ever see what they're already allowed to see.
1 Sol AI · grounded in your documentsPolicy gap analysis
Compare Regulation A with Convention B. List every gap, addition and conflict as a table.
Illustrative output · every row cites its source · your data never trains public models
Why pilots stall

The demo was the easy part.

Most AI pilots look great on a sample and stall on real data, real permissions and real accountability. The gap is rarely the model — it's grounding, governance and engineering.

How grounded AI works: your documents are retrieved with permissions, answers are generated with citations POLICIES DATA CRM · RECORDS RETRIEVE · GUARD ✦ ANSWER · CITED §4.2 Art. 12 no source → declines PERMISSION-AWARE RETRIEVAL · CITATIONS & PROVENANCE · EVALUATION & GUARDRAILS · AUDIT TRAIL
Your sources
  • Documents & policies
  • Data & warehouses
  • Records & case files
  • Systems & CRM
The 1 Sol layer
  • Permission-aware retrieval
  • Citations & provenance
  • Evaluation & guardrails
  • Audit trail & governance
Traceable answers
  • In chat, for staff & citizens
  • Inside your CRM
  • In your workflows
  • In reports leadership trusts
AI Solutions · Flagship

Put AI to work across the organisation.

Generative AI assistants & chatbots

Always-on help for staff, citizens and customers — grounded in your policies and documents, with a citation on every answer and a graceful decline when the sources don't support one.

GeminiClaudeGPTRAG

Document intelligence — RAG & semantic search

Find precise, cited answers across thousands of pages in seconds. Permission-aware retrieval means people only ever see what they're allowed to see.

Vertex AI SearchpgvectorRe-ranking

Intelligent document processing

Extraction, classification and structuring of contracts, forms and case files — with confidence scoring and human review built into the pipeline.

Document AIReview routing

Workflow automation & agents

Automate manual, repetitive processes end to end — scoped, observable agents that act within limits, with a human accountable for every step.

Agent Buildern8nAPIs

CRM + AI plugins

AI built into the CRM you already own — Salesforce, Microsoft Dynamics 365, Zoho and more. Summarise, draft, triage and report in plain English.

SalesforceDynamics 365Zoho

Fine-tuning, evaluation & guardrails

Domain-tuned models where they earn their keep, evaluation sets so you know when answers drift, and guardrails your security team can review.

EvalsRed-teaming

Data foundations on Google Cloud

The governed data layer AI depends on: pipelines, warehouses, lineage and access controls — so your assistant answers from clean, current data.

BigQueryCloud SpannerDataflow

Secure cloud modernisation

Migration to Google Cloud, Azure or AWS with security, cost and reliability designed in — and zero-downtime delivery.

GCPAzureAWSCI/CD

AI governance, security & compliance readiness

Least-privilege IAM, encryption, audit logging and documented authorisation boundaries — so compliance can sign off, and so your data never trains public models.

Zero-trustSOCAudit trail
Seeing it in action

Three use cases, mapped to real problems.

Each one a real scenario, the approach we take, and the result it delivers. Read the full case studies →

Use case 01 · Document & policy intelligence

Compare two policy frameworks in seconds, not days

A policy analyst must reconcile a new national regulation against an existing international convention — normally days of careful manual cross-reading.

Grounded in your own documents, with a citation for every row. Exportable to Word or Google Docs for review.

RAGGap analysisExport to Word
Gap analysis outputillustrative · < 30 sec
Compare Regulation A with Convention B. Identify every gap, addition and conflict. Output a table: Provision · Regulation A · Convention B · Gap / Risk.
ProvisionRegulation AConvention BGap / risk
Data residencySilentIn-country storage requiredGap to close
Reporting cadenceAnnualQuarterlyAddition
Appeals window30 days60 daysConflict
Dependants' accessNot addressedExplicitly grantedNew provision
Use case 02 · AI service assistant

Answer the same questions instantly — with citations

A service desk fields thousands of repetitive queries about forms, entitlements and processes. Staff re-read policy each time, and response times stretch into days.

Secondsto a trusted answer, instead of days in a queue
24/7availability — no out-of-hours backlog
100%of answers cited to source
The approach — a retrieval assistant grounded only in your documents01Askedplain language02Retrievedyour corpus only03Draftedwith source links04Citedauditable
  1. Askedplain language
  2. Retrievedyour corpus only
  3. Draftedwith source links
  4. Citedauditable
Use case 03 · CRM + AI plugins

Turn an under-used CRM into a caseworker's co-pilot

Caseworkers spend more time updating the CRM than helping people. Records are inconsistent, and pulling a report for leadership takes weeks.

  • Summarises long case histories on open
  • Drafts replies & next steps for review
  • Triages & prioritises incoming cases
  • Answers "how many cases this month?" in plain English

Built inside the CRM you already own — Salesforce, Microsoft Dynamics 365, Zoho and more.

Case #DR-2048 · Salesforce1 Sol AI plugin
ApplicantRegistered household
StatusPending review
History18 notes · 4 documents
1 Sol AI · case summary
  • Household applied 12 weeks ago; two documents still outstanding.
  • Eligibility criteria met on 3 of 4 checks — flag for officer review.
  • Suggested next step: request remaining proof of address.
Engineering & platforms

The full team behind every solution.

AI only works in production when the platform around it is solid. We build that too.

Web & Mobile

Accessible portals, full-stack web apps and cross-platform mobile — fast, maintainable and built to convert.

React / Next.jsReact NativeFastAPI / Node

Cloud & DevOps

Secure, scalable infrastructure with automated, zero-downtime delivery.

Google Cloud · Azure · AWSCI/CD

Data & Analytics

Dashboards, BI and reliable pipelines that turn raw data into decisions.

BigQueryBI dashboards

UI/UX & QA

Human-centred design plus manual and automated testing.

Design systemsTest automation

Cybersecurity

SOC, continuous monitoring and compliance for regulated environments. CISSP-led.

SOCZero-trust

SEO & Findability

Services and products that people can actually find when they search — technical, local and content SEO.

Part of Marketing & Growth →
How we deliver

Frame, ground, build, evaluate, operate.

01Frameone use case, one owner02Groundsources + permissions03Buildweekly sprints04Evaluateevals + guardrails05Operateyour team runs it
  1. Frameone use case, one owner
  2. Groundsources + permissions
  3. Buildweekly sprints
  4. Evaluateevals + guardrails
  5. Operateyour team runs it

Frame

Pick one use case with a measurable outcome and a named owner.

Ground

Connect the sources, map permissions, agree what the assistant may and may not say.

Build

Retrieval, prompts, integrations and interface — shipped in weekly sprints.

Evaluate

An evaluation set and guardrails your security and compliance teams can review.

Operate

Monitoring, drift checks and a roadmap. Your team runs it; we stay alongside.

Technology we build on

Google Cloud first. Multi-cloud by design.

Our AI practice runs on Google Cloud — Vertex AI, Gemini Enterprise, BigQuery and Document AI — and we deliver on Azure and AWS when that's where your systems live. We're a delivery partner to Lanthos, a Google Cloud and Gemini implementation partner in the US, and a Hostinger partner for the websites we build.

Google Cloud Hostinger Partner
Engagement models

Work with us the way that fits procurement.

Start here

4-week AI Pilot

One use case, your documents, cited answers — in production-shaped form within four weeks. Fixed price, scoped in a single call. Keep it, extend it, or walk away with the findings.

  • Week 1: frame & ground
  • Weeks 2–3: build & evaluate
  • Week 4: handover & roadmap

Fixed-scope project

Defined deliverables, timeline and price. Best when requirements are clear and outcomes are fixed.

Fixed priceMilestones

Dedicated team

A cross-functional 1 Sol team that owns delivery as an extension of yours. Best for evolving roadmaps.

MonthlyFull ownership

Staff augmentation

Senior specialists embedded in your team, scaling capacity up or down as you need it.

FlexibleBy role
Questions we get asked

Straight answers.

Will our data train the model?

No. Your content grounds answers at request time — it is retrieved, cited and discarded. We deploy on enterprise tiers of Google Cloud, Azure or AWS where provider terms exclude training, or on-premise inside your own perimeter.

What stops the assistant making things up?

Grounding. Answers are built from retrieved passages in your approved sources and cite them. When the sources don't support an answer, the assistant declines rather than guesses — and that behaviour is part of the evaluation set we hand over.

Can our security and compliance teams review it?

Yes — that's the point. Least-privilege IAM, encryption at rest and in transit, audit logging and a documented authorisation boundary. Our delivery lead is CISSP-certified and happy to sit in the review.

Which cloud do you work on?

Google Cloud is our deepest practice (Vertex AI, Gemini Enterprise, BigQuery, Document AI), and we deliver on Azure and AWS as well. We also partner with Lanthos, a Google Cloud and Gemini implementation partner in the US, on larger programmes.

Who operates it after launch?

Your team, with our help. Every engagement ends with documentation, an evaluation set and a handover — then a support arrangement sized to what you need, from a few hours a month to a dedicated team.

How fast can we see something real?

Our 4-week AI Pilot takes one use case and your documents to a production-shaped assistant with cited answers. Fixed price, scoped in a single call.

Built it? We'll get it found.

Your engineering team is also a marketing team.

Launch pages, SEO, Google Ads and lead automation for the product we just built — one plan, one report.

Marketing & Growth →
Let's build

Two ways to start. Both free.

Name your most time-consuming task

Tell us the process that eats your team's week. We'll come back with an AI approach, a timeline and a price — scoped with you, live.

Scope it with us →

Claim your free growth audit

See exactly where your customers are slipping to competitors, and the plan to win them back. Free, and yours to keep.

Claim my free audit →