We transform how your business runs. Not just which tools it uses.
We start with your bottlenecks. We map the processes your team runs every day and
carefully identify which parts could be automated. Then we digitise what is still
manual, automate what is repetitive, and build the systems and agents that make the
whole operation run more efficiently. That is digital transformation, AI adoption
and automation.
Baseline metrics agreed in writing before any build
Governance, DPIA and acceptable use policy included
Bespoke builds, not off the shelf products
Sectors we work with
Retail
Wholesale
Ecommerce
Hospitality & Catering
Healthcare
Pharmacy
Dentistry
GP Practice
Legal
Professional Services
Recruitment
Accountancy
Insurance
Architecture
Retail
Wholesale
Ecommerce
Hospitality & Catering
Healthcare
Pharmacy
Dentistry
GP Practice
Legal
Professional Services
Recruitment
Accountancy
Insurance
Architecture
Construction
Cleaning & Facilities Management
Sales
Marketing
IT Managed Services
Cyber Security
Industrial
Manufacturing
Warehousing
Supply Chain
Logistics
Education
Journalism
Administration
Construction
Cleaning & Facilities Management
Sales
Marketing
IT Managed Services
Cyber Security
Industrial
Manufacturing
Warehousing
Supply Chain
Logistics
Education
Journalism
Administration
What makes us different
Commercial acumen comes first. The technology follows.
Knowing what a language model can do is the easy part. Knowing which ten minutes of a
sales person's day is worth automating, which report the board actually reads, and
which process is quietly costing you margin, that takes operational experience. It is
the difference between changing your software and changing how the work actually
gets done.
Built on operational experience
I spent two years consulting on and building an AI powered legal technology
platform, then built AI automation into my own recruitment business before
advising anyone else. We arrive understanding revenue, cost, capacity and process
because we have carried them ourselves.
Nothing here is a template. We build dashboards, tools, automation systems and
agents that understand your specific workflow, your data and the way your team
already works, so adoption does not depend on people changing their habits.
Governance from the first day
Security architecture, a data protection impact assessment, an acceptable use
policy and a sub processor assessment for your sector are part of the foundation
work, not an afterthought once something has already gone wrong.
Built on ClaudeAnthropic
Delivery backing
For the more technical automation builds, Astraeon AI works with development
partners who are members of the Claude Partner Network, Anthropic's partner
programme for firms that build and deploy Claude in business.
How we deliver
How we work
Three phases. Every deliverable written down.
We do not start building until we can both point at the same document and agree what
good looks like. Foundation establishes the ground truth. Implementation builds
against it. Training runs alongside both, so your team grows capability while the
systems are going in.
01
Foundation and Governance
A structured discovery engagement that ends with a written, costed and prioritised
view of where AI belongs in your business, and where it does not.
Assessment and discovery
£2,950
fixed price, plus VAT
Typically 1 to 2 weeks
Baseline metrics locked in writingThe numbers as they stand today, agreed by both sides before a single change is made, so improvement can be measured rather than claimed.
Ideal customer profile and weighted scoring rubricBack tested against your real wins and your real losses, not assembled from assumptions about who you think your best customer is.
Signal libraryEvery buying and risk signal that matters in your market, with the source and the check frequency recorded against each entry so it can be automated and audited.
Security architecture paperHow data moves, where it rests, who can reach it and what the controls are, written for your technical and non technical stakeholders alike.
Data protection impact assessmentA documented assessment of the processing you are introducing and the mitigations applied to it.
AI acceptable use policyA policy your staff can actually follow, setting out what they may do with AI, what they may not, and who decides.
Sub processor assessment for your sectorWhich third parties would touch your data, under what terms, and whether that is acceptable given the regulator and the clients you answer to.
Tooling audit across the commercial stackEverything you currently pay for, what it is genuinely used for, and the cancellable spend identified in writing.
Written AI operations roadmapThe sequenced plan that implementation is then built against, so nothing gets built on a hunch.
02
Implementation
Once discovery is complete we build. What we build is decided by the roadmap, which
means the solution is shaped by your needs rather than by our product catalogue.
Build
From £3,000
plus VAT, scoped against the roadmap
Bespoke dashboards
Metric display, data analytics intelligence and reporting built around the
decisions you actually need to make, pulling from the systems you already run.
Automation systems
The repetitive, rules driven work that consumes hours each week, moved off your
team and into systems that run reliably and log what they did.
Agentic builds
AI agents built inside your own systems that understand your process, hold the
context of how your business works, and take specific tasks end to end.
Internal tools
The small, specific pieces of software your business needs and no vendor sells,
built quickly and fitted to the way your people already work.
03
Training and Enablement
Delivered alongside discovery and implementation, because a system nobody knows how
to use is not a transformation. We teach Claude Cowork in action, on your work.
Runs alongside
Training days are hands on and built around real tasks from your own business
rather than generic exercises. Common ground we cover:
Assessment and discovery is a fixed price because the deliverables are fixed.
Implementation starts from a floor and is quoted against the roadmap discovery
produced. Training is priced per session. Engagements typically run on a three month
retainer, adjusted to what the business requires.
Start here
Assessment and discovery
£2,950
fixed price, plus VAT
Typically one to two weeks. Nine written deliverables including governance, DPIA,
acceptable use policy, tooling audit and the AI operations roadmap.
Implementation
From £3,000
plus VAT
Dashboards, internal tools, automation systems and agentic builds, scoped and
quoted against the roadmap discovery produced.
Training days
Hourly
£200
per hour, plus VAT
For focused sessions, a single workflow, or follow up support after a full training day.
Most popular
Half day
£650
up to 10 people, plus VAT
Enough time to take a team through a working use case from their own business and
leave them able to repeat it.
Full day
£1,200
up to 10 people, plus VAT
Multiple use cases across departments, with time to build and test alongside the
team rather than only demonstrate.
The operational problems repeat. The context does not.
A recruitment desk, a dental practice and a logistics operation all lose the same
hours to triage, chasing, reporting and rekeying. What differs is the regulator, the
vocabulary and the system of record. We work across these sectors because the
underlying commercial patterns carry, and we take the time to learn the rest.
Trade and Commerce
Retail
Wholesale
Ecommerce
Hospitality and Catering
Health and Care
Healthcare
Pharmacy
Dentistry
GP Practice
Professional Services
Legal
Professional Services
Recruitment
Accountancy
Insurance
Built Environment
Architecture
Construction
Cleaning and Facilities Management
Commercial and Growth
Sales
Marketing
Technology and Security
IT Managed Services
Cyber Security
Industrial and Supply Chain
Industrial
Manufacturing
Warehousing
Supply Chain
Logistics
Knowledge and Public
Education
Journalism
Administration
Why this works
AI adoption fails for commercial reasons, not technical ones.
Pilots stall because nobody agreed what success would look like. Tools get bought and
abandoned because they were never fitted to an actual process. Staff quietly go back
to the old way because the new way was demonstrated once and never embedded. None of
those are model problems. They are business problems.
That is why our foundation phase spends its time on metrics, process, spend and
governance before anything is built, and why training runs in parallel rather than as
a final handover. The technology is the straightforward part.
Tell us where the hours go. We will tell you honestly whether AI is the answer.
Some processes should be automated. Some should be fixed first. Some should be left
alone. A discovery conversation costs you nothing and will give you a straight view of
which is which in your business.