AI Automation
Agents and workflow automation that finish the work.
- Invoice, quote & contract processing
- Support triage, deflection & summarisation
- Back-office workflow orchestration
Bristol · AI & Microsoft Azure specialists
We help UK teams design, build and run AI systems using the right models and infrastructure for the job — Azure, AWS, Google Cloud, or your own servers. From your first automation to a full AI-native operating model, we make the plan practical and the delivery boring.
Currently taking new engagements for this quarter
UK South
default data residency for client workloads
Fixed
scope and price, agreed before we build
Fortnightly
working software, not status reports
Published
pricing you can read without a sales call
Credentials
Earned by the engineer who leads your delivery — not a company reseller badge.
Azure Solutions Architect
Expert
Cybersecurity Architect
Expert
Microsoft Certified Trainer
Trainer
Also certified
Azure Administrator
Associate
Cloud and AI Security Engineer
Associate
Technologies we work with
Why Cloudpilar
We close that gap. The work is part architecture, part governance and part change — and it only counts when it is running in production, in your tenant, with someone accountable for it.
We put guardrails on data, model access and human review before a single prompt reaches production.
Azure-native architectures your finance team can read and your engineers can operate at 3am.
Every engagement is scoped to a measurable business outcome — not a shelf of unused pilots.
Architecture
A controlled path from operational need through data, AI, governance and human oversight.
What we do
Start anywhere — an automation, an architecture review, a board-level strategy. Most clients begin with one and grow into three.
Agents and workflow automation that finish the work.
Private assistants that answer from your own data.
Production AI apps, built and run end-to-end.
Not sure where to start? This is the front door.
Independent strategy, governance and fractional CTO.
Vendor-agnostic system design and architecture reviews.
Well-Architected Azure landing zones and AI platforms.
Data platforms built for AI — Fabric, Synapse, ADLS.
Defensive security for your AI and cloud estate.
How we work
No heroics, no surprises at the end. Four stages, fortnightly evidence, and a written plan you could hand to a different supplier tomorrow.
Two-week discovery: value map, data audit, risk register, and a costed plan you can take to your board.
Architecture, security posture, evaluation strategy. Nothing is built until the failure modes are named.
Ship in fortnightly increments. Each release has metrics, tests and a rollback plan — no exceptions.
We run it, monitor it and evolve it. Or we hand it over to your team with a runbook that reads like prose.
Reference architectures
Patterns we would propose, written out in full — including where each one gets hard. These are not delivered engagements, and we say so plainly rather than dress them up as one.
How we would build a claims triage agent that reads policy wordings, drafts the adjuster opening letter, and cites the clause it relied on.
How we would approach clinical correspondence summarisation inside an NHS trust's own Azure tenant, with clinician review before anything is saved.
How we would move a flat, untagged Azure estate onto a hub-and-spoke landing zone with cost boundaries a finance team can actually read.
Products
Productised AI you can procure without a long transformation programme — transparent scope, clear commercial terms and deployment designed around your security requirements.
Your production AI apps, on our operating table.
We host, monitor and evolve the AI apps we build for you. Fixed monthly cost, incident response inside an hour, model and dependency upgrades handled.
Ready-to-deploy AI workflows for common back-office pain.
Pre-built, source-available automations — accounts payable, sales handovers, inbox triage. We install them in your Azure tenant so your data never leaves.
A private AI assistant grounded in your organisation's own knowledge.
Deploy a production-ready assistant over policies, procedures, manuals and internal knowledge — with permissions, citations and human escalation built in.
Who we help
Our best work happens where the data is sensitive and the tolerance for failure is low — which is exactly where most AI vendors go quiet.
KYC automation, advisor copilots, regulated-data retrieval.
Clinician assistants, coding and summarisation, safe patient data.
Matter intake, contract review, structured extraction.
Ops assistants, forecasting, supplier automations.
Merchandising copilots, service deflection, dynamic content.
Citizen-safe assistants, admin automation, secure Azure landing zones.
Engagement models
Indicative starting points. The discovery call gives you a real number, and we would rather tell you it is too expensive than sell you the wrong thing.
from £4,500
per month
Fractional CTO and AI counsel for founders and CIOs. Weekly sessions, async on demand.
from £18,000
per outcome
Discovery through delivery of a named outcome. Fixed scope, fixed price, fortnightly demos.
from £3,500
per app / month
We run the AI apps we built for you. Monitoring, upgrades, incident response, evolution.
Security & governance
We have been through NHS, financial services and public sector due diligence. The answers below are the ones that usually unblock it.
Our engagements and internal controls follow the NCSC Cyber Essentials scheme.
Data stays in UK South by default. DPAs signed before kick-off; DPIAs supported.
Documented ISMS-style controls; happy to be audited against your customer requirements.
Certified professionals across Azure, Data & AI, and Security — validated by Microsoft.
Questions
If yours is not here, ask it on the call — we will give you a straight answer, including when the answer is that you do not need us.
It stays in your Azure tenant, in UK South, by default. Where OpenAI models are used we default to the Azure OpenAI Service with the abuse-monitoring opt-out and private endpoints — nothing leaves your tenancy unless you explicitly ask it to.
We scope engagements to put a working, in-tenant prototype in front of you within four to six weeks. We will not skip discovery to get there — the first two weeks go on understanding the value, the data and the failure modes, and we would rather move the date than cut that.
No. We work best with organisations already on Microsoft 365 or Azure, but a large part of what we do is meeting teams where they are and helping them move cleanly.
Yes, and we prefer it. We pair with your engineers, transfer the code and the runbook, and leave. Everything we ship is meant to be maintainable by a team that is not us — if you need us permanently, we have built the wrong thing.
Every project ships with an evaluation harness, a human-in-the-loop plan, an incident playbook and a written risk register. We will not put a model in front of users without those four.
Both. The advisory retainer suits a founder or a small team who need senior judgement without a full-time hire; the fixed-scope project suits an organisation with a named outcome and a budget attached. We size the engagement to the problem rather than to the size of the company.
Start the conversation
A 30-minute discovery call, no charge and no pitch deck. You will leave with a straight answer on feasibility, rough cost and the first sensible step.