'%3e%3ccircle%20cx='500'%20cy='530'%20r='315'%20fill='url(%23g)'/%3e%3cpath%20d='M707%20254c66-44%20121-103%20151-177-85%2033-147%2079-197%20141%2020%207%2035%2018%2046%2036Z'%20fill='url(%23g)'/%3e%3cpath%20d='M716%20310c73-14%20131-2%20178%2039-73%2022-133%2017-181-13%205-8%206-16%203-26Z'%20fill='url(%23g)'/%3e%3crect%20x='251'%20y='417'%20width='496'%20height='210'%20rx='105'%20fill='%23100A1F'/%3e%3ccircle%20cx='393'%20cy='522'%20r='34'%20fill='%23F9F7FF'/%3e%3ccircle%20cx='605'%20cy='522'%20r='34'%20fill='%23F9F7FF'/%3e%3ccircle%20cx='388'%20cy='520'%20r='10'%20fill='%23100A1F'%20opacity='0.35'/%3e%3ccircle%20cx='600'%20cy='520'%20r='10'%20fill='%23100A1F'%20opacity='0.35'/%3e%3cpath%20d='M265%20680c49%2088%20126%20133%20231%20136%20107%204%20190-38%20249-126'%20fill='none'%20stroke='%23100A1F'%20stroke-width='32'%20stroke-linecap='round'%20opacity='0.28'/%3e%3c/g%3e%3cg%20fill='none'%20stroke='%23A967FF'%20stroke-width='22'%20stroke-linecap='round'%20stroke-linejoin='round'%3e%3cpath%20d='M167%20338h-56v-62'/%3e%3ccircle%20cx='111'%20cy='276'%20r='22'%20fill='%230E0B1C'%20stroke='%23A967FF'/%3e%3cpath%20d='M842%20417h65v-70'/%3e%3ccircle%20cx='907'%20cy='347'%20r='22'%20fill='%230E0B1C'%20stroke='%23A967FF'/%3e%3cpath%20d='M817%20662h80v73'/%3e%3ccircle%20cx='897'%20cy='735'%20r='22'%20fill='%230E0B1C'%20stroke='%23A967FF'/%3e%3cpath%20d='M172%20649h-71v71'/%3e%3ccircle%20cx='101'%20cy='720'%20r='22'%20fill='%230E0B1C'%20stroke='%23A967FF'/%3e%3c/g%3e%3c/svg%3e)
When six useful agents become one management problem.
Six agents go live. Each was a good decision on its own: a triage assistant here, a knowledge answerer there, an approval helper in another team. None of them is the problem. The portfolio is. The AI Service Lifecycle is how you plan, prepare, introduce, operate, assure and evolve AI services, so agents run as part of your service portfolio rather than as a collection of projects.
Entered through a fixed price AI Service Readiness and Portfolio Assessment.
Then three questions arrive.
What are these agents costing us, and what are they returning?
Spend is spread across platforms and projects, and nobody owns the total.
What data can they see, and what are they allowed to do with it?
Authority was set during configuration, not stated as a control.
What happens when one of them gets it wrong at 2am?
There is no incident route for agent behaviour, so it goes unreported.
Building the agent is the easy part.
A project. Scoped, configured, demonstrated and handed over. Success is measured by whether it works.
- Use case and prompt
- Configuration and testing
- Demo and handover
A service. Owned, catalogued, governed, measured and reviewed. Success is measured by whether it keeps working, safely, at cost you can explain.
- Named owner and defined authority
- Introduction, change and incident routes
- Assurance, review and retirement
Six stages, from decision to retirement.
Plan
Decide which AI services are worth running. Define the use case, the business owner, the value measure and the risk position before anything is built.
Deliverable: Opportunity case
What this looks like inside Halo.
Three layers sit under every AI service, and the lifecycle is built as working artefacts in the platform you already run. It is not a document.
Halo Service Automation Framework: the Service Data Model and Target Operating Model. What the service is, what it supports, and who owns, supports and approves it.
What the agent may do: the abilities exposed to it, the tools it can call, the authority it holds and the approvals it must seek.
The agent itself, doing the work in the flow of the service, with every action recorded against the service record.
AI Service Register
Every agent, its owner, its purpose and its authority in one record.
AI Introduction Workflow
The route a new agent takes from proposal to live service.
Agent Change Control
Prompt, context, tool and authority changes handled as change.
AI Incident Workflow
A reporting and resolution route for incorrect agent behaviour.
AI Service Catalogue
What the AI service does, for whom, and what to expect from it.
Assurance Dashboard
Quality, containment, escalation and authority, reviewed regularly.
The AI Service Lifecycle brochure is the long version of this page. Download it here.
Four levels. Most organisations are at one or two.
Experimenting
AI is being tried, not yet run as a service.
Score yourself Level 2Operationalising
AI is entering live service, controls are catching up.
Score yourself Level 3Governed
AI services are run with defined authority and assurance.
Score yourself Level 4Scaled
A managed portfolio of AI services with continuous improvement.
Score yourselfAI Service Readiness and Portfolio Assessment
A fixed price, two week engagement that tells you what AI you are actually running, how mature it is, and what to do in the next ninety days.
£4,950 + VAT
Fixed, agreed before we start. No day rate creep. £2,950 + VAT for the first three design partners.
Two weeks
From kick off to findings, with a readout session at the end.
Four to six hours
A ninety minute kickoff plus two working sessions, agent definitions and relevant Halo service data.
Scope
Launch scope covers up to ten AI services in one Halo environment. Larger estates are scoped on request.
- Every AI agent, feature and pilot currently live or in flight
- The service data, knowledge and context those agents depend on
- Authority, approvals and audit position for each one
- How AI enters, changes and leaves live service today
- Where the platform can carry the lifecycle without new tooling
What you get
The scorecard is self-scored and tells you where you think you are. The assessment is consultant-scored against your live estate and tells you what is actually running, what it costs, and what to do in the next ninety days.
- 01AI Service Register: your current and planned estate
- 02Maturity Level: a scored four level position
- 03Risk and Value Classification: autonomy, access, impact and economics
- 04Readiness Gap Report: data, knowledge, change, incident and governance gaps
- 05Prioritised 90 day Roadmap: scale, improve, restrict or retire
The assessment is the entry point, not the whole road.
AI Service Foundation
Build the register, AI introduction workflow, agent change control, incident route, catalogue entries and assurance dashboard in your platform.
AI Service Assurance
Run the assurance loop with you: quality measurement, authority review, incident triage and the standing service review.
AI Service Evolution
Grow the portfolio deliberately. New services on a repeatable pattern, existing ones widened, narrowed or retired on evidence.
The first three design partners shape how this is built.
Three design partner places at £2,950 + VAT instead of £4,950 + VAT, in exchange for an agreed reference and case study after delivery. Design partners get direct input into the artefacts and closer access to the people building them.
Start with where you actually are.
Five minutes on the scorecard tells you your level and your three biggest gaps. If it lands, the briefing is the next conversation.